Tag: Homework Solution

  • [Solved] Human Resource Management Assignment 1

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    Discussion Questions: Back from the Abyss by Laurie Willis 1. What is the main message the author wants readers to take away about athletes and mental health? 2. Which statistics, stories, or examples stood out to you as most persuasive or surprising? 3. Have you witnessed or experienced the idea…

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    Discussion Questions: Back from the Abyss by Laurie Willis

    1. What is the main message the author wants readers to take away about athletes and mental health?

    2. Which statistics, stories, or examples stood out to you as most persuasive or surprising?

    3. Have you witnessed or experienced the idea that athletes should be “tough” and hide emotional struggles? How does this shape the way players seek help?

    4. How do expectations from fans, family, or coaches affect an athlete’s sense of identity?

    5. What specific changes (policy, training, media portrayal) might reduce mental-health stigma in athletics?

    6. What roles should teammates, schools, or professional leagues play in supporting athletes’ mental well-being?

    7. Do you see parallels between the pressures athletes face and those experienced by students or workers in other high-performance environments?

    8. How does media coverage of athlete mental health—positive or negative—shape public attitudes? Provide an example of a professional athlete where social media coverage shaped their attitude.

  • [Solved] DB WK3

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    [>Criminal homework help](https://www.sweetstudy.com/fields/law-criminal) Please see attached. **files (2)** – ## DiscussionAssignmentInstructions.doc – ## DiscussionAssignmentInstructions.doc **## DiscussionAssignmentInstructions.doc** [removed] **## DiscussionAssignmentInstructions.doc** CJUS 42…

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    Assignment Prompt & Instructions

    [>Criminal homework help](https://www.sweetstudy.com/fields/law-criminal)

    Please see attached.

    **files (2)**

    – ## DiscussionAssignmentInstructions.doc

    – ## DiscussionAssignmentInstructions.doc

    **## DiscussionAssignmentInstructions.doc**

    [removed]

    **## DiscussionAssignmentInstructions.doc**

    CJUS 420

    **Discussion Assignment Instructions**

    You will complete 7 Discussions in this course. You will post one thread of at least 250 words by 11:59 p.m. (ET) on Thursday of the assigned Module: Week. You must then post two replies of at least 100 words by 11:59 p.m. (ET) on Monday of the assigned Module: Week. For Module 8: Week 8, your replies must be submitted by no later than 11:59 p.m. (ET) on
    **Friday.** For each thread, you must support your assertions with at least two scholarly citations in APA format. Each reply must incorporate at least two scholarly citation(s) in APA format. Acceptable sources include the textbook, peer-reviewed journal articles, government sources/websites, and professional association websites.

    **## DiscussionAssignmentInstructions.doc**

    CJUS 420

    **Discussion Assignment Instructions**

    You will complete 7 Discussions in this course. You will post one thread of at least 250 words by 11:59 p.m. (ET) on Thursday of the assigned Module: Week. You must then post two replies of at least 100 words by 11:59 p.m. (ET) on Monday of the assigned Module: Week. For Module 8: Week 8, your replies must be submitted by no later than 11:59 p.m. (ET) on
    **Friday.** For each thread, you must support your assertions with at least two scholarly citations in APA format. Each reply must incorporate at least two scholarly citation(s) in APA format. Acceptable sources include the textbook, peer-reviewed journal articles, government sources/websites, and professional association websites.

    **## DiscussionAssignmentInstructions.doc**

    [removed]

    **## DiscussionAssignmentInstructions.doc**

    CJUS 420

    **Discussion Assignment Instructions**

    You will complete 7 Discussions in this course. You will post one thread of at least 250 words by 11:59 p.m. (ET) on Thursday of the assigned Module: Week. You must then post two replies of at least 100 words by 11:59 p.m. (ET) on Monday of the assigned Module: Week. For Module 8: Week 8, your replies must be submitted by no later than 11:59 p.m. (ET) on
    **Friday.** For each thread, you must support your assertions with at least two scholarly citations in APA format. Each reply must incorporate at least two scholarly citation(s) in APA format. Acceptable sources include the textbook, peer-reviewed journal articles, government sources/websites, and professional association websites.

    **## DiscussionAssignmentInstructions.doc**

    [removed]

    **## DiscussionAssignmentInstructions.doc**

    CJUS 420

    **Discussion Assignment Instructions**

    You will complete 7 Discussions in this course. You will post one thread of at least 250 words by 11:59 p.m. (ET) on Thursday of the assigned Module: Week. You must then post two replies of at least 100 words by 11:59 p.m. (ET) on Monday of the assigned Module: Week. For Module 8: Week 8, your replies must be submitted by no later than 11:59 p.m. (ET) on
    **Friday.** For each thread, you must support your assertions with at least two scholarly citations in APA format. Each reply must incorporate at least two scholarly citation(s) in APA format. Acceptable sources include the textbook, peer-reviewed journal articles, government sources/websites, and professional association websites.

  • [Solved] English

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    due tomorrow – [\ \ Screenshot2026-02-04at1.10.50PM.png](https://www.sweetstudy.com/files/screenshot2026-02-04at1-10-50pm-png-10492427 "Screenshot2026-02-04at1.10.50PM.png")

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    due tomorrow

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  • [Solved] Supv

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    In-depth study guidance and analytical solution covering Supv.

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  • [Solved] Discussion

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    1. ## A. Analysis of Carl’s Cookies #### Step 1: Read the Scenario > **SCENARIO:** Carl’s Cookies, established in 2019, is a boutique bakery. Carl’s Cookies has built a loyal customer base due to its commitment to quality and unique product offerings. Carl, the owner, has a strong desire to optimiz…

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    1.

    ## A. Analysis of Carl’s Cookies

    #### Step 1: Read the Scenario

    > **SCENARIO:** Carl’s Cookies, established in 2019, is a boutique bakery. Carl’s Cookies has built a loyal customer base due to its commitment to quality and unique product offerings. Carl, the owner, has a strong desire to optimize production and marketing strategies to maximize revenue and maintain high customer satisfaction. Carl has collected sample data over the past 85 weeks and wants you to analyze this data to uncover insights that can help address his questions.

    #### Step 2: Look Over the Data

    Use Carl’s Cookies Excel workbook to help you with this case, which is located here: [Carl's Cookies Data](https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fraw.githubusercontent.com%2FsophiaAcademics%2FBDA_Excel%2Frefs%2Fheads%2Fmain%2FStudentData%2FAssessments%2FUnit2%2FTouchstone%2FCarl%27s%2520Cookies%2520Data.xlsx&wdOrigin=BROWSELINK)

    A breakdown of each column is as follows:

    WeekThe chronological week in which data was collected.YearThe year in which data was collected.QuarterThe financial quarter in which the data was collected.Gross SalesThe dollar amount of gross sales for the week.Cookies SoldThe number of cookies sold for the week.Selling Price / CookieThe amount charged per cookie.Snickerdoodles SoldHow many snickerdoodle cookies were sold that week.Peanut Butter SoldHow many peanut butter cookies were sold that week.Pumpkin SoldHow many pumpkin cookies were sold that week.Sugar SoldHow many sugar cookies were sold that week.Oatmeal Raisin SoldHow many oatmeal raisin cookies were sold that week.White Choc. Mac. SoldHow many white chocolate macadamia cookies were sold that week.Gingerbread SoldHow many gingerbread cookies were sold that week.Black and White SoldHow many black and white cookies were sold that week.Macaron SoldHow many macarons were sold that week.Cost to Make CookiesThe cost of ingredients used to make all cookies in a particular week.Labor CostThe labor cost of Carl’s Cookies for the week.Rent CostThe rent cost for Carl’s Cookies for the week.Utilities CostThe cost of all utilities for the week.Marketing CostThe amount Carl’s Cookies spent on marketing that week.Type of MarketingWhat kind of marketing Carl’s Cookies did for the week.Discounts GivenThe number of discounts Carl’s Cookies gave to customers that week.Customer Sat. RatingThe average customer satisfaction rating that week.Average Customer SpendThe amount the average customer spent that week.

    **ASSIGNMENT:** For this touchstone, you are going to analyze the sample data using the analytical techniques you have learned in Challenges 1.2, 2.1, and 2.2 and present your findings as a PowerPoint presentation. Your audience is Carl, the owner of Carl’s Cookies. You should answer all of Carl’s questions in your presentation. Your analysis should be presented in a PowerPoint presentation that includes speaker notes, which explain your points. Use visualizations to summarize your findings.

    #### Step 3: Read Carl's Questions

    **Question 1:** Carl is offering several cookie varieties. He wants to optimize his operations by identifying underperforming cookies. Carl has provided you with sales data, including weekly cookie sales and selling prices, as well as associated costs. After analyzing customer feedback, Carl found trends in customer satisfaction:

    – Peanut Butter Cookies: Consistently receive the lowest satisfaction ratings, with complaints about dryness and lack of flavor.
    – Pumpkin Cookies: Average satisfaction ratings, with some customers mentioning they are too seasonal for year-round appeal.
    – Macaron Cookies: Not always everyone’s favorite but have good customer satisfaction ratings overall.

    Using the provided sales data, create a PivotTable (format as a heatmap) and a PivotChart of units of cookies sold by cookie type. Based on your findings and the customer feedback Carl supplied, recommend whether Carl should continue (or discontinue), improve, or expand production of specific cookie varieties. Specifically make sure to identify underperforming cookies using sales data, recommend whether to continue, improve, or discontinue specific varieties. (Slide #2)

    **Question 2:** Carl wants to understand how his marketing strategies (flyer, coupon, tv, radio, and shopper) boost his store's sales. He has gathered data on the different marketing campaigns, including total gross sales, number of cookies sold, and marketing costs for each campaign. He gives you the following information about marketing to consider:

    – The competition spends 10% of their gross sales on marketing.
    – Carl spends about 7% of his gross sales on marketing.
    – Studies show if Carl moves to social media marketing, he can cut his marketing costs to $300 per week, but he will also incur a 5% drop in gross sales.

    Carl is seeking your assistance to analyze the effectiveness of these marketing strategies based on total gross sales, average gross sales per marketing media, and gross sales generated per marketing dollar spent. Visualize which type of marketing is the most effective overall and which one performs best on average. Based on the data and Carl’s insights, should he adjust his marketing strategy? (Slide #3)

    **Question 3:** Carl is looking to understand the financial trends of his business and how he can navigate them while boosting weekly net income. He has provided data on his gross profit and all associated costs over several months. After reviewing costs for his business, Carl provides you with the following information:

    – Selling Price per Cookie: Has remained unchanged at $3.50 for the past two years, but he is thinking about raising the price to $4.00 to keep up with rising costs.
    – Utilities Cost: Generally stable, but there are rumors of rate hikes of 10%.
    – Cost to Make Cookies: Variable, often influenced by inflation and commodity pricing. It is expected that these costs will increase by 6% in the next 12 months.

    Carl is asking for your help to analyze his income trends, specifically focusing on net income (Net Income = Gross Profit – All Costs). Specifically, he wants to identify trends considering the following scenarios:

    – Current weekly net income
    – New weekly net income if he raised his prices to $4 per cookie and there are no cost increases
    – The increase in weekly net income if prices increase to $4 per cookie but costs do not increase
    – New net income per week if both costs and price of cookies increase

    Based on this data, how could changing price and cost factors impact his overall profitability? Using the data and the information Carl provided, what are your recommendations to boost weekly net income? (Slide #4 and calculations on Slide #5)

    **Question 4:** Carl is interested in understanding customer spending habits at his store. He has collected data on the average amount each customer spends per week. Carl notices the following trends:

    – High-Spending Customers: A small percentage of customers make large purchases regularly (between $34 and $35).
    – Moderate-Spending Customers: The majority of customers spend a consistent, moderate amount each week (between $28-$33). These customers can usually be upsold by $2-$3 per customer if deals are offered.
    – Low-Spending Customers: Customers who make infrequent purchases ($27 or less) are often more demanding and want to sample cookies, increasing costs.

    Carl is seeking your assistance to analyze the distribution of the average amount a customer spends per week. He wants to learn what insights can be drawn from this data to better understand customer behavior and improve his profit margin. What recommendations can you give, based on the data? (Slide #6)

    **Question 5:** Carl wants to gain insight into the performance of his business throughout the year and has provided data on his gross sales in the spreadsheet. Carl’s business goals are:

    – To attain quarter-over-quarter growth in gross sales of 5%
    – To mediate any quarterly declines in sales
    – To have his geometric mean per year average 5%

    Based on the trend and geometric mean data you calculated and Carl’s goals, should Carl raise his prices, reduce the costs of the ingredients he uses in his cookies, or both? (Slide #7)

    **Question 6:** In 2023, Carl began a discount incentive to help increase customer satisfaction. The incentive is that for any order over $30, the customer would receive 10% off their entire order. Carl has collected data on the number and cost of discounts given each week and the corresponding average customer satisfaction ratings. Carl wonders:

    – Should I continue with the discounts?
    – Are the costs of the discounts worth any potential increases in customer satisfaction?
    – What if I discontinue the discounts?

    Carl is seeking your assistance in determining the strength of any relationship between the number of discounts he gives each week and their corresponding customer satisfaction scores. Using this data, what advice would you give him that would answer his questions about the discounts? (Slide #8 and show calculations on Slide #9)

    **Question 7:** Every quarter, Carl often ends up ordering too many ingredients because he does not have a valid model to reference for purchases. In addition, some ingredients for his cookies need a longer lead time to order. Because of these issues, Carl needs to understand the relationship between the business quarter and the type of cookies sold in that quarter. He has gathered data on the number of each type of cookie sold across the four business quarters for 2023. Carl has the following questions:

    – Is there an effective model I can use to help me order ingredients?
    – Are type of cookie and quarter sold dependent variables?
    – Should I use the data I observed as a guide to help me order ingredients in the future?

    Carl is seeking your assistance to analyze whether there is a significant association between the business quarter and the type of cookie sold. Based on the data, does Carl have a strong model he can use as a guide to order ingredients for upcoming quarters? (Slide #10)

    #### Step 4: Analyze the Provided Excel Dataset to Derive Insights

    You should answer all of Carl’s questions in your presentation. Here is a basic template with slide headers that you can use, but it is not required.

    [Carl’s Cookies – StudentTemplate with guidance.pptx](https://app.sophia.org/download/attachment/57803-Carl%E2%80%99s%20Cookies%20-%20StudentTemplate%20with%20guidance.pptx)

    Make sure to use visuals (graphs, tables, heatmaps) to enhance your findings. At minimum you should have 11 slides.

    – Slide 1 – Title Slide
    – Slide 2 – Question 1 on Product Performance Analysis
    – Which cookies are underperforming, and what should Carl do?
    – Analyze weekly sales and customer satisfaction ratings.
    – Recommend whether Carl should discontinue, improve, or expand certain varieties.
    – Slide 3 – Question 2 on Marketing Strategy Evaluation
    – Slide 4 – Question 3 on Financial Trends Analysis
    – Slide 5 – Excel Calculations for Financial Trends for Question #3
    – Slide 6 – Question 4 on Customer Spending Behavior
    – Slide 7 – Question 5 on Quarterly Sales Performance
    – Slide 8 – Question 6 on Discount Incentive Effectiveness
    – Slide 9 – Excel Calculations for Discounts for Question 6
    – Slide 10 – Question 7 on Ingredient Ordering Model
    – Slide 11 – Summary and Recommendations for Carl Slide

    #### Step 5: Add Speaker Notes Explaining Your Methodology, Analysis, and Recommendations

    Your analysis should be presented in a PowerPoint presentation that includes speaker notes, which should clearly explain your analysis and recommendations.

    **Speaker notes** for each question should address the following:

    1. The data you used (and why you used that data) to answer the question.
    2. A justification of why you chose the data visualization you used.
    3. A detailed explanation of how the data supports your answer.
    4. The rationale of any calculations you made, if any.

    #### Step 6: Review the Grading Rubric to Ensure All Criteria are Met

    Review the rubric to ensure that you understand how you will be evaluated. Also review the requirements to ensure that your Touchstone is complete.

    #### Step 7: Submit Your Touchstone

    Submit your completed Touchstone (as a .pptx file) using the blue button at the top of this page.

    ## B. Rubric

    Advanced (100%)Proficient (85%)Acceptable (75%)Needs Improvement (50%)Non-Performance (0%)

    ### Completeness of Responses to Carl’s Questions

    All seven of Carl’s questions have been answered fully and accurately. Each question is weighted equally within this category. (25%)All 7 questions are thoroughly answered with detailed analysis and appropriate conclusions for each. There is clear evidence of deep understanding and insight.5-6 questions are fully answered, with minor gaps or incomplete interpretations in some areas. Overall analysis and conclusions are solid, though some areas could be improved.3-4 questions are answered, but significant gaps in the analysis or reasoning exist. The work demonstrates basic understanding but lacks depth in several areas.1-2 questions are answered, or most answers show a lack of thoroughness, accuracy, or completeness. The analysis is superficial or incorrect in several areas.None of the questions are adequately answered, or all answers are entirely missing depth, accuracy, and completeness.

    ### Data Accuracy, Analytical Techniques, and Use of Excel

    Data analysis is accurate, appropriate analytical techniques were used (as learned in Challenges 1.2 through 2.2), and Excel was used effectively to perform the analysis. (30%)All data calculations and analyses are accurate, and appropriate analytical techniques (e.g., statistical methods, trend analysis) are used for each of Carl’s 7 questions. Excel is used effectively and efficiently throughout the analysis with no errors.Most analyses are correct, with minor errors or incomplete application of analytical techniques in some cases. Excel is used effectively, though some areas could be optimized for better efficiency.Some analyses contain errors or misinterpretations, and the appropriate analytical techniques are not consistently applied. Excel is used, but with noticeable inefficiencies or mistakes.Several analyses are inaccurate or misinterpreted, and the appropriate analytical techniques are frequently misapplied. Excel usage is flawed, and its application to the analysis is limited or incorrect.Most analyses are inaccurate or missing. Analytical techniques are either not applied or applied incorrectly, and Excel is used minimally or not at all.

    ### Presentation Design & Use of Appropriate Visualizations

    The design of the presentation is effective, with a specific focus on whether the most appropriate visualizations (charts, graphs, etc.) are chosen to best represent the analysis for each of Carl’s 7 questions. (20%)Each of Carl’s 7 questions is accompanied by the most appropriate and effective visual (e.g., bar chart, line graph, pie chart, scatter plot, etc.), clearly and accurately communicating the analysis. The choice of visual is based on best practices for data representation, enhancing the clarity and impact of the presentation.Most questions are accompanied by appropriate visuals that support the analysis, though some may not fully align with the optimal choice for data representation. The overall presentation remains clear and effective.Visuals are included for most questions, but several do not represent the data in the best possible way, leading to reduced clarity and effectiveness of the analysis. Some improvement in visual selection is needed.Visuals are present for only a few questions, and many of them are not the best choice for effectively communicating the data. The analysis lacks clarity due to inappropriate or poorly designed visuals.Visuals are missing for most or all questions, or the chosen visuals are ineffective and fail to support the analysis. The presentation does not clearly communicate the data.

    ### Clarity and Insightfulness of Speaker Notes

    Speaker notes clearly explain the analysis for each of Carl's 7 questions, offering insights, recommendations, and detailed explanations. (15%)Speaker notes are thorough, insightful, and clearly explain the analysis for each of Carl’s 7 questions. They provide detailed explanations, relevant insights, and actionable recommendations, demonstrating a deep understanding of the data and findings.Speaker notes are clear and adequately explain the analysis for most of Carl’s questions. Some minor gaps in detail or insights may exist, but the recommendations are generally relevant and supported by the data.Speaker notes provide explanations for some of Carl’s questions but may lack depth or clarity. Several explanations may be incomplete, and insights or recommendations are either minimal or not strongly linked to the data.Speaker notes are incomplete, unclear, or lacking depth for most of Carl’s questions. The analysis is not well-explained, and the insights or recommendations are shallow or only marginally related to the data.Speaker notes are largely absent or fail to explain the analysis effectively for the majority of Carl’s questions. Recommendations, if provided, are irrelevant or not data driven.

    ### Technical Execution & Use of Excel

    Technical aspects of the project are accurate and complete, including correct calculations, adherence to the PowerPoint structure, and the effective use of Excel for analysis. (10%)All calculations are correct, and Excel is used efficiently and effectively for data analysis, including appropriate use of formulas, charts, and other tools. The presentation fully adheres to all assignment requirements, including slide structure and file format.Most calculations are correct, with only minor errors. Excel is generally used effectively, though some inefficiencies or minor mistakes may be present. The presentation follows most assignment requirements, with slight deviations in slide structure or format.Some calculations are incorrect, and Excel is not fully utilized effectively in parts of the analysis. Several assignment requirements are missing or incomplete, such as the correct number of slides or proper file format.Many calculations are incorrect, and Excel is used poorly or only partially. Numerous assignment requirements are not met, and the presentation does not align with key structural or formatting expectations.Most or all calculations are incorrect, and Excel is either not used or used ineffectively. The majority of assignment requirements, such as slide structure and file format, are not fulfilled.

    ## C. Requirements

    The following requirements must be met for your submission:

    – Hand in a .pptx file with slides listed above.
    – Use a readable 11- or 12-point font.
    – All writing must be appropriate for an academic context. Follow academic writing conventions (correct grammar, spelling, punctuation, and formatting).
    – Plagiarism of any kind is strictly prohibited.
    – Submission must include your name and the date (included in the template).

    This assignment provides a practical experience in business analytics, honing skills essential for data-driven decision-making in business environments. Your analysis and recommendations will help Carl optimize his operations and improve profitability.

    Good luck, and enjoy uncovering insights for Carl's Cookies!

    2.

    ## A. Analysis of TechGear Inc.

    #### Step 1: Read the Scenario

    > **SCENARIO:** As a data analyst at TechGear Inc., a company specializing in electronic gadgets and accessories, your task is to analyze historical sales data, build predictive models, and use prescriptive analytical methods to provide actionable insights for improving decision-making. The company has been experiencing fluctuating sales and aims to optimize its marketing strategies and production processes to maximize profits and enhance customer satisfaction. Your analysis will help TechGear Inc. understand the factors influencing its sales, forecast future sales trends, assess financial risks associated with different business scenarios, and determine the optimal allocation of its marketing budget and production resources. Ultimately, your work will enable the company to make data-driven decisions, enhancing its sales and marketing strategies, and leading to improved profitability and customer satisfaction.

    #### Step 2: Look Over the Data

    – Questions 1-5 (Linear Regression) and 7 (Machine Learning): Use the data in the techgear_sales_data.xlsx Excel file, which can be found at the following GitHub link:

    [https://raw.githubusercontent.com/sophiaAcademics/BDA_Excel/main/StudentData/Assessments/Unit6/TechGearTouchstone/techgear_sales_data.xlsx](https://raw.githubusercontent.com/sophiaAcademics/BDA_Excel/main/StudentData/Assessments/Unit6/TechGearTouchstone/techgear_sales_data.xlsx)
    – Question 6 (Forecasting): Use the data in the techgear_sales_data_monthly.xlsx Excel file, which is available at this GitHub link:

    [https://raw.githubusercontent.com/sophiaAcademics/BDA_Excel/main/StudentData/Assessments/Unit6/TechGearTouchstone/techgear_sales_data_monthly.xlsx](https://raw.githubusercontent.com/sophiaAcademics/BDA_Excel/main/StudentData/Assessments/Unit6/TechGearTouchstone/techgear_sales_data_monthly.xlsx)

    This file contains the same data as techgear_sales_data.xlsx, but the last row only includes a date with missing values for all other columns. These missing values are intended for you to apply forecasting methods for the upcoming time period.
    – Questions 8 and 9: Since Question 8 focuses on Monte Carlo simulations and Question 9 focuses on linear programming, all necessary data is provided in the problem statement.

    This dataset contains monthly sales and advertising spend data for TechGear from January 2020 to December 2024. It includes the following columns:

    Column NameDescriptionUnit/FormatDateThe month and year for each data entryMM/DD/YYYYSalesThe total sales generated in that monthNumber of SalesAd_Spend_FacebookThe amount of money spent on Facebook advertising in that monthDollarsAd_Spend_InstagramThe amount of money spent on Instagram advertising in that monthDollarsDiscount_RateThe discount rate applied to sales in that monthPercentage

    A snapshot of the first few rows of the dataset is provided below:

    ![](https://cdn2.sophia.org/markup_pictures/50730/file/d839c99c0e58b03bb811eb76ee9b3744.png)

    #### Step 3: Read TechGear Inc. Questions

    **Question 1:** Exploring Data Structures and Averages in Advertising Spend and Discounts

    Before conducting an analysis, use Python to create a pandas DataFrame named sales from the dataset.

    – What key features of the dataset can you summarize, such as the number of rows and columns?
    – What is the average amount spent on advertising for each social media platform (Facebook and Instagram)?
    – What is the average discount provided to customers?
    – What insights can you draw from this summary regarding advertising spend and discount trends?

    **Question 2:** Visualizing Relationships

    – How can you visualize the relationships between sales and each advertising spend variable (Facebook and Instagram) as well as discount rates?
    – What types of plots (e.g., scatter plots, line plots, or histograms) would be most effective in identifying patterns or correlations between these variables?
    – What do these visualizations reveal about the impact of advertising spend and discount rates on sales?

    **Question 3:** Simple Linear Regression

    TechGear wants to optimize its marketing strategy.

    – How can you develop a simple linear regression model in Python to predict sales based on Facebook ad spend?
    – What do the coefficients of the model indicate?
    – Specifically, how does the slope describe the relationship between Facebook ad spend and sales?
    – What does the R² value tell you about how well the model explains the variability in sales?
    – How does the regression output from Python support your interpretation of the model’s performance?

    **Question 4:** Assessing the Fit of the Simple Linear Regression Model

    – How can you evaluate the performance of your simple linear regression model by analyzing residuals?
    – What insights do residual plots provide about the model’s accuracy?
    – Do they suggest any patterns, heteroscedasticity, or violations of linear regression assumptions?
    – How might these findings impact the reliability of the model’s predictions?

    **Question 5:** Multiple Linear Regression Model

    The simple linear regression model provides insights into Facebook ad spend.

    – How can you develop a multiple linear regression model to predict monthly sales using Facebook ad spend, Instagram ad spend, and discount rates?
    – How do the coefficients of this model compare to the simple linear regression model? What do they reveal about the combined influence of these factors on sales?
    – Which model performs better in predicting sales?
    – How can you compare the effectiveness using statistical metrics (such as R² and RMSE)?
    – Based on this comparison, what recommendations can you provide to TechGear for optimizing its advertising strategy?

    **Question 6:** Forecasting

    Using historical sales data, how can you construct:

    – A 3-month moving average forecast for January 2025?
    – An exponential smoothing forecast with a smoothing parameter of 0.80 for January 2025?

    Given TechGear’s preference for emphasizing recent sales trends:

    – Which forecasting method provides the most reliable prediction for January 2025?
    – What key differences exist between the two forecasting methods, and what do they imply for forecasting accuracy?

    Based on your analysis, consider:

    – What actionable recommendations can you provide to TechGear to improve its marketing strategies and production planning?

    **Question 7:** TechGear needs a reliable model to predict future sales.

    – How can you build and compare different predictive models to achieve this?
    – How can you develop a multiple linear regression model using 5-fold cross-validation to predict future sales?
    – How can you develop a decision tree model using 5-fold cross-validation to predict future sales?
    – How do the two models compare in terms of RMSE, and which model should TechGear choose?

    TechGear requires a minimum of $6,500 in sales each month to remain profitable.

    – If the best model predicts sales of $4,200, how can the RMSE value be used to determine the range within which actual sales may fall?
    – What are the implications of this for decision-making and risk assessment?

    **Question 8:** Monte Carlo Simulations

    TechGear has experienced significant fluctuations in sales, making accurate predictions challenging.

    – How can you use Monte Carlo simulations to estimate future sales?
    – How can you estimate the average and median monthly sales by running 1,000 simulations?
    – What visuals (e.g., histograms or box plots) can you generate to summarize the results?
    – If daily sales are assumed to follow a uniform distribution between the minimum and maximum observed sales over the past 60 months, how does this impact the simulation results? You can assume that the value for minimum sales observed over 60 months is 2,299 and the maximum value is 7,702.
    – How can you interpret the standard deviation of simulated sales, and what does it reveal about TechGear’s sales variability?
    – How can TechGear use these insights to improve budgeting, sales forecasting, and operational decision-making?

    **Question 9:** Linear Programing

    TechGear wants to optimize its advertising spend across Facebook and Instagram to maximize its monthly sales. They have a fixed advertising budget and need to determine the optimal allocation of this budget to achieve the highest possible sales. The sales generated from advertising on each platform are influenced by the amount spent on that platform.

    TechGear has a monthly advertising budget of $10,000. The estimated sales generated from advertising on Facebook and Instagram are given by the following linear equations:

    – Sales from Facebook advertising: ![SF equals 5 straight F comma](https://cdn2.sophia.org/wiris_cache/c11036d3c7983c8d4bd8b1f2a2bc2ea2.png) where F is the amount spent on Facebook advertising
    – Sales from Instagram advertising: ![SI equals 3 straight I comma](https://cdn2.sophia.org/wiris_cache/a9dfca2f1599a5736053a1914358934e.png) where I is the amount spent on Instagram advertising

    TechGear has a monthly advertising budget of $10,000. They must spend at least $2,000 on Facebook advertising to maintain its presence on the platform. Additionally, they must spend a minimum of $1,000 and no more than $7,000 on Instagram advertising due to platform-specific constraints. The amount spent on Instagram advertising should be at least 50% of the amount spent on Facebook advertising to ensure balanced marketing efforts.

    – What is the optimal budget allocation for Facebook and Instagram, and what is the maximum sales revenue TechGear can achieve under these conditions?

    #### Step 4: Using the PowerPoint Template, Analyze Data for TechGear Inc.

    – Your task is to analyze historical sales data for TechGear Inc. using various analytical techniques.
    – You’ll apply concepts from linear regression, forecasting, machine learning, and prescriptive analytics.
    – The goal is to provide actionable insights to help TechGear make data-driven decisions.
    – Include Python code snippets in your slides for data exploration, regression models, forecasting, machine learning, Monte Carlo simulation, and linear programming tasks.
    – Your Python code should be accurate and well-documented to demonstrate how each analysis step was performed.
    – Your findings will be presented in a PowerPoint presentation, with speaker notes explaining your approach and insights.

    Review each question and then follow the directions outlined on each slide to summarize and present your findings for each question.

    [TechGearStudentTemplate.pptx](https://app.sophia.org/download/attachment/53248-TechGearStudentTemplate.pptx)

    #### Step 5: Review the Grading Rubric to Ensure All Criteria are Met

    Review the rubric to ensure that you understand how you will be evaluated. Also review the requirements to ensure that your Touchstone is complete.

    #### Step 6: Submit Your Touchstone

    Submit your completed Touchstone (as a .pptx file) using the blue button at the top of this page.

    ## B. Rubric

    Advanced (100%)Proficient (85%)Acceptable (75%)Needs Improvement (50%)Non-Performance (0%)

    ### Python Analysis (Shown at Key Steps)

    The inclusion of well-documented, accurate Python code for data exploration, regression models, forecasting, machine learning, Monte Carlo simulation, and linear programming. (5%)Python code is shown for all major steps, including data exploration, visualization, regression models, forecasting, machine learning, Monte Carlo simulation, and linear programming. Code is well-documented and accurate.Python code is shown for most key steps. Minor issues with code documentation or accuracy.Python code is shown for some steps, but critical components are missing or incomplete.Python code is partially shown but lacks key analyses or is significantly incorrect.No Python code is provided.

    ### Data Exploration and Summary (Slide 2)

    Clear summary of data structure, accurate calculation of averages, and key insights from data exploration. Python analysis is included and well-integrated. (10%)There is a comprehensive summary of data structure with accurate calculation of averages and clear insights from the exploration. Python analysis is included and well-integrated.Data summary is mostly accurate, with minor errors or missing insights. Python analysis is included.Basic summary provided, but some key features are missing or inaccurate. Python analysis is incomplete.Minimal data exploration with several inaccuracies and no significant insights. Python analysis is missing or incorrect.No data exploration is provided.

    ### Visualizing Relationships (Slide 3)

    Accurate and clear visualizations showing relationships between sales, ad spend, and discount rate. Proper interpretation of patterns and correlations. (10%)Clear and accurate visualizations for all specified variables with detailed insights into patterns and correlations. Python-generated plots are used.Visualizations are mostly accurate and provide useful insights. Minor errors in interpretation or plot generation.Basic visualizations are provided, but significant patterns or correlations are overlooked. Python plots are incomplete.Visualizations are unclear or inaccurate with limited analysis. Missing Python plots.No visualizations are provided.

    ### Simple Linear Regression & Model Fit (Slides 4 & 5)

    Well-implemented regression model with correct interpretation of coefficients and R² value. Assessment of model fit through residual analysis. (10%)Accurate regression model with clear interpretation of coefficients and R² value. Residual plots are well-explained, and the fit is thoroughly assessed. Python output included.Regression model and assessment are mostly accurate, with minor errors or incomplete explanations.Basic model output provided, but interpretations and model fit assessments are incomplete or contain errors.Model is poorly developed, with incorrect interpretations and no reliable assessment of fit.No regression model or assessment is provided.

    ### Multiple Linear Regression (Slide 6)

    Complete multiple regression analysis, including variable interpretation and comparison to simple regression. Python output included. (10%)Complete and accurate multiple linear regression analysis, with well-explained coefficients and comparison to the simple linear regression model. Python output included.Multiple regression analysis is mostly accurate, with minor errors or incomplete comparisons.Basic multiple regression is provided, but interpretations and comparisons are incomplete or partially inaccurate.Incomplete or incorrect multiple regression model with minimal explanation.No multiple regression model is provided.

    ### Forecasting (Slide 7)

    Implementation of both forecasting methods, clear comparison, and justified selection of the best method based on business needs. (10%)Both forecasting methods are accurately implemented and compared. The recommendation is well-justified and aligned with TechGear’s preferences. Python output included.Forecasting analysis is mostly accurate, with minor errors or incomplete justification of the chosen method.Basic forecasting analysis is provided, but one method may be missing, or justification is unclear.Minimal forecasting analysis with significant errors and no clear recommendation.No forecasting analysis is provided.

    ### Machine Learning Models (Slide 8)

    Accurate implementation of multiple regression and decision tree models with RMSE comparison and well-supported model selection. (10%)Both models are accurately built and compared using RMSE. Clear model recommendation with actionable insights. Python output included.Machine learning analysis is mostly accurate, with minor errors in the comparison or recommendation.Basic models are provided, but the comparison and recommendation are incomplete or unclear.Models are incomplete or contain major errors. Limited or no comparison is provided.No machine learning analysis is provided.

    ### Monte Carlo Simulations (Slide 9)

    Simulation correctly executed with proper assumptions, visualizations, and interpretation of results. Actionable insights are provided. (10%)Simulation is well-executed with clear visualizations and interpretation of results. Actionable insights are provided. Python output included.Simulation is mostly accurate, with minor errors or incomplete insights.Basic simulation is provided, but interpretation is incomplete or unclear.Simulation is incomplete or incorrect with minimal explanation.No simulation is provided.

    ### Linear Programing (Slide 10)

    Accurate optimization model that meets constraints and clearly explains the best budget allocation for maximum sales. (10%)Linear programming solution is accurate and fully meets all constraints. Clear explanation of the optimal budget allocation and maximum achievable sales. Python output included.Solution is mostly accurate, with minor errors in constraints or explanation.Basic linear programming solution is provided but contains errors or incomplete explanations.Incomplete or incorrect solution with minimal explanation.No linear programming solution is provided.

    ### Presentation Quality & Speaker Notes

    Well-organized slides with readable formatting and professional layout. Speaker notes effectively explain analysis and insights. (15%)Slides are visually appealing and well-organized, with clear speaker notes that thoroughly explain the analysis and findings.Slides are mostly clear and organized. Speaker notes are informative but may lack detail.Basic slides with limited visual appeal. Speaker notes are incomplete or too brief.Poorly organized slides with missing or unclear speaker notes.No presentation or speaker notes provided.

    ## C. Requirements

    The following requirements must be met for your submission:

    – Hand in a .pptx file with slides listed above.
    – Use a readable 11- or 12-point font.
    – All writing must be appropriate for an academic context. Follow academic writing conventions (correct grammar, spelling, punctuation, and formatting).
    – Plagiarism of any kind is strictly prohibited.
    – Submission must include your name and the date (included in the template).

    This assignment provides a practical experience in business analytics, honing skills essential for data-driven decision-making in business environments. Your analysis and recommendations will help TechGear optimize its operations,

    Good luck, and enjoy uncovering insights for TechGear!

    – [\
    \
    techgear_sales_data_monthly.xlsx](https://www.sweetstudy.com/files/techgear-sales-data-monthly-xlsx "techgear_sales_data_monthly.xlsx")
    – [\
    \
    techgear_sales_data.xlsx](https://www.sweetstudy.com/files/techgear-sales-data-xlsx "techgear_sales_data.xlsx")
    – [\
    \
    CarlsCookiesData.ods](https://www.sweetstudy.com/files/carlscookiesdata-ods "CarlsCookiesData.ods")
    – [\
    \
    TechGearStudentTemplate.pptx](https://www.sweetstudy.com/files/techgearstudenttemplate-pptx "TechGearStudentTemplate.pptx")
    – [\
    \
    CarlsCookies-StudentTemplatewithguidance.pptx](https://www.sweetstudy.com/files/carlscookies-studenttemplatewithguidance-pptx "CarlsCookies-StudentTemplatewithguidance.pptx")

  • [Solved] Assessment

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  • [Solved] Healthcare laws

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    see file **files (1)** – ## Feb_1.docx **## Feb_1.docx** 1. **Policy Application:** Find a policy, set of guidelines, or government regulations and apply it to the organization’s work on the chosen topic: PREVENTING WORKPLACE VIOLANCE. [https://www.jointcommission.org/en-us/standards/national-per…

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    Assignment Prompt & Instructions

    see file

    **files (1)**

    – ## Feb_1.docx

    **## Feb_1.docx**

    1.
    **Policy Application:** Find a policy, set of guidelines, or government regulations and apply it to the organization’s work on the chosen topic: PREVENTING WORKPLACE VIOLANCE.
    [https://www.jointcommission.org/en-us/standards/national-performance-goals/preventing-workplace-violence](https://www.jointcommission.org/en-us/standards/national-performance-goals/preventing-workplace-violence)

    2. You may choose a policy you have access to from your organization. Other sources of policies include those published online from a different healthcare organization.

    · Describe clearly how the selected policy complies with or diverges from the requirements outlined in a related healthcare law, providing evidence to support your position.

    · Discuss the potential legal, ethical, or financial implications of non-compliance with the policy and its alignment with healthcare law or professional guidelines.

    · Consider the consequences for individual practitioners, stakeholders, and the healthcare organization.

    ·
    **Examples of Laws, Regulations, and Standards:**

    · Centers for Medicare & Medicaid Services (CMS) Federal regulations and guidance.

    · CMS Hospital Readmissions Reduction Program (HRRP).

    · CMS Inpatient Quality Reporting Program (IQR).

    · CMS Improving Medicare Post-Acute Transformation Act of 2014 (IMPACT Act) is a federal law that standardizes patient assessment data in post-acute care settings.

    · CMS Social Determinants of Health (SDOH) requirements.

    · The Joint Commission Standards and Measures.

    · Commission on Accreditation of Rehabilitation Facilities (CARF).

    · Centers for Disease Control and Prevention (CDC) – National Healthcare Safety Network.

    · National Database of Nursing Quality Indicators (NDNQI).

    · Agency for Healthcare Research and Quality (AHRQ).

    · National Committee for Quality Assurance (NCQA) – Healthcare Effectiveness Data and Information Set (HEDIS) measures.

    · The Patient Safety and Quality Improvement Act of 2005 (PSQIA) protects healthcare workers who report unsafe conditions at their practices. The law encourages individuals to report medical errors while maintaining patient confidentiality.

    3.
    **Benchmark Comparison:** Identify a benchmark or strategic goal and compare it to the policy, guideline, or regulation and goal that is not at the desired goal or range.

    · A benchmark in healthcare is a standard or point of reference used to measure and compare the performance of healthcare organizations, departments, or individual clinicians.

    · Benchmarks are used to identify areas for improvement and set goals for quality improvement.

    · These benchmarks could include national quality indicators, best practices recommended by professional organizations, or performance metrics set by regulatory agencies.

    · If you do not have access to your organization's benchmarks, one of the resources on the
    [Assessment 1: Benchmark Resources](https://capella.alma.exlibrisgroup.com/leganto/public/01CAPELLA_INST/lists/2475943070006731?auth=SAML&section=4480436400006731) reading list can be utilized to access benchmarks.

    · Describe the benchmarks associated with the healthcare law, policy, or guideline, and clearly articulate the connections between benchmarks and policy. There may be more than one benchmark for a topic, but only one is needed.

    · The comparison should include the benchmark’s numerical value.

    ·
    [Parkland Health: Preventive Care](https://capella.alma.exlibrisgroup.com/leganto/public/01CAPELLA_INST/lists/2475943070006731?auth=SAML&section=4480064520006731) example: This information is an example of available data that could be used to build a case for what needs improvement based on underperformance and help justify the consequences of not meeting the standards set for the CMS Core Measures. Some hospitals share lots of detail, while others provide limited information.

    4.
    **Metric Analysis:** Look at the metric or measure that is not being met or in compliance with the policy, guideline, or regulation and analyze what needs to be added, removed, or developed to ensure the benchmark is met.

    · Consider how an Interprofessional Education (IPE) team can develop a Quality Improvement (QI) plan to improve these outcomes.

    · Analyze the consequences of not meeting prescribed benchmarks and the impact this has on healthcare organizations or teams.

    · The
    [Agency for Healthcare Research and Quality Indicators](https://capella.alma.exlibrisgroup.com/leganto/public/01CAPELLA_INST/lists/2475943070006731?auth=SAML&section=4480455830006731) reading list is a good place to find this type of information.

    · Be sure to clearly identify implications and acknowledge assumptions underlying your analysis.

    5.
    **Sustainability and Ethics:** Describe what is needed to ensure that the project plan will be sustainable, efficient, effective, and evidence-based.

    · Consider how adherence to benchmarks can drive positive outcomes in patient care, safety, and overall organizational performance.

    · Explain how you can ensure the solution is ethical and protects vulnerable and diverse patient populations.

    · Advocate for ethical and sustainable actions directed toward an appropriate group of stakeholders, arguing effectively for recommended actions with a clear and perceptive explanation of the ethical principles and sustainability goals to guide such actions.

    **Note**: Ensure your data are Health Insurance Portability and Accountability Act (HIPAA) compliant. Do not use any easily identifiable organization or patient information.

    The report requirements outlined below correspond to the scoring guide criteria, so be sure to address each main point. Read the performance-level descriptions for each criterion to see how your work will be assessed. In addition, be sure to note the requirements for document format and length and for supporting evidence.

    · Describe how the selected policy complies with or diverges from the requirements outlined in the healthcare law.

    · Identify benchmarks associated with a healthcare law, policy, or guideline.

    · Evaluate dashboard metrics associated with benchmarks set forth by local, state, or federal healthcare laws or policies.

    · Identify a benchmark underperformance.

    · Analyze the consequences of not meeting prescribed benchmarks and the impact this has on healthcare organizations or teams.

    · Discuss the potential legal, ethical, or financial implications of non-compliance with the policy and its alignment with healthcare law or professional guidelines.

    · Consider the consequences for individual practitioners, stakeholders, and the healthcare organization.

    · Advocate for ethical and sustainable actions, directed toward an appropriate group of stakeholders, needed to address a benchmark underperformance.

    · Organize content so ideas flow logically with smooth transitions.

    · Proofread your report, before you submit it, to minimize errors that could distract readers and make it more difficult for them to focus on the substance of your evaluation and analysis.

    · Support main points, assertions, arguments, conclusions, or recommendations with relevant and credible evidence.

    · Be sure to apply correct APA formatting to source citations and references.

    Cite 4–6 credible, current, and scholarly references. Include the policy, law, or guidelines.

    By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and scoring guide criteria:

    · Competency 1: Analyze relevant healthcare laws, policies, and regulations; their application; and their effects on organizations, interprofessional teams, and professional practice.

    · Describe how a selected policy complies with or diverges from the requirements outlined in a related healthcare law.

    · Analyze the consequences of not meeting prescribed benchmarks and the impact this has on healthcare organizations or teams.

    · Competency 2: Lead the development and implementation of ethical and culturally sensitive policies that improve health outcomes for individuals, organizations, and populations.

    · Advocate for ethical and sustainable actions, directed toward an appropriate group of stakeholders, needed to address a benchmark underperformance.

    · Competency 3: Evaluate relevant indicators of performance, such as benchmarks, research, and best practices, to inform healthcare laws and policies for patients, organizations, and populations.

    · Identify benchmarks associated with a healthcare law, policy, or guideline.

    · Evaluate a benchmark underperformance in a healthcare organization or interprofessional team that has the potential for greatly improving overall quality or performance.

    · Competency 5: Produce clear, coherent, and professional written work, in accordance with Capella's writing standards.

    · Convey purpose, in an appropriate tone and style, incorporating supporting evidence and adhering to organizational, professional, and scholarly writing standards.

    NO USE OF AI

    USE OF PROPER IN TEXT CITATION

    Template:

    **Dashboard Metrics, Benchmarks, and Policy Decisions**

    This paragraph serves as the introduction to your analysis of a specific healthcare organization's policy. Its purpose is twofold: to introduce the policy itself and to establish its context within the organization. You'll begin by clearly identifying the policy you've selected, providing its official name or a concise description. Then, you'll delve into the background of the policy. This might include the reasons for its creation, when it was implemented, and any relevant history or evolution. Additionally, you'll explain the policy's role and relevance within the organization. Why is this policy important? What specific goals does it aim to achieve? How does it contribute to the organization's overall mission and objectives? Consider the policy's impact on various aspects of the organization, such as patient care, staff operations, resource allocation, or regulatory compliance. Essentially, you're setting the stage for your subsequent analysis by providing a clear understanding of what the policy is, where it came from, and why it matters to the healthcare organization.

    **Policy Analysis: Compliance and Divergence from Relevant Healthcare Law**

    This section of the paper will delve into a detailed analysis of the relationship of the specific policy and its relationship to a chosen healthcare law. It will clearly articulate how the policy (from the healthcare organization) either aligns with (complies) or deviates from (diverges) the requirements and provisions outlined in the law. The specific healthcare law relevant to the policy analysis will be explicitly named and potentially summarized. It's important to select a law that has a direct bearing on the policy in question. If the policy complies with the law, this section will meticulously detail
    _how_ it complies. It will identify specific provisions or requirements within the law and demonstrate how the policy's elements fulfill those requirements. If the policy diverges from the law, this section will clearly explain how and why it diverges. It will pinpoint the specific provisions of the law that the policy contradicts or fails to meet. Crucially, this analysis will be supported by concrete evidence, demonstrating the basis for the stated compliance or divergence.

    **Consequences of Benchmark Underperformance**

    This section of the paper will delve into the potential negative outcomes that arise when a healthcare organization or team fails to meet established benchmarks. It will move beyond simply stating that benchmarks are important and instead explore the specific repercussions of not achieving them. Your analysis will pinpoint the direct and indirect consequences of missing benchmarks. You will also address the impact on the organization/team by examining the impact on different departments or individuals, the overall organizational culture, and the ability to achieve strategic goals. Your analysis should highlight the clear implications of these consequences. This means going beyond simply listing negative outcomes and explaining their significance. What are the long-term effects of these consequences? Finally, this section will explicitly acknowledge any assumptions that underlie the analysis.

    **Evaluating Benchmark Underperformance for Quality Improvement**

    This section of the paper will delve into a specific instance of benchmark underperformance within a healthcare organization or interprofessional team. It will not simply identify the underperformance but will thoroughly analyze it, explaining its potential for significant positive impact on overall quality or performance if addressed. The core of this section lies in building a robust and persuasive argument demonstrating the importance of the chosen benchmark and the potential gains from improvement. Explore the "why" behind the underperformance and investigate the root causes contributing to the gap between current performance and the established benchmark. Additionally, you would provide a fully substantiated argument for how improving performance on this specific benchmark will lead to significant improvements in overall quality or performance. This argument should go beyond simply stating the obvious by connecting the benchmark to specific outcomes while providing evidence-based support.

    **Advocacy for Ethical and Sustainable Solutions to Benchmark Underperformance**

    This section of the paper will delve into the crucial role of advocacy in addressing the specific benchmark underperformance within the chosen healthcare organization. It will move beyond simply identifying the underperformance to proposing concrete, actionable recommendations for improvement. However, these recommendations should be explicitly grounded in ethical principles and sustainability goals. The section will begin by identifying the relevant stakeholders impacted by the benchmark underperformance. The core of this section will be a clear and compelling argument for specific actions needed to address the underperforming benchmark. This argument will be directed towards the appropriate stakeholder groups, recognizing that different stakeholders may have different priorities and concerns. The section should also explain
    _how_ the proposed actions uphold these ethical principles and why they represent the ethically sound course of action. Beyond ethical considerations, the section will also address the sustainability of the proposed solutions. This means considering the long-term impact of the actions and ensuring they are environmentally, economically, and socially responsible.

    **Conclusion**

    Your concluding paragraph is your opportunity to leave a lasting impression. This is your chance to synthesize your arguments, offer a broader perspective, and potentially suggest future directions. Here, you will briefly summarize the main points or supporting arguments you've presented and discuss the broader implications of your analysis of the healthcare policy.

    **References**

    Provide your references and ensure that it is in accordance with APA seventh edition formatting.

    **## Feb_1.docx**

    1.
    **Policy Application:** Find a policy, set of guidelines, or government regulations and apply it to the organization’s work on the chosen topic: PREVENTING WORKPLACE VIOLANCE.
    [https://www.jointcommission.org/en-us/standards/national-performance-goals/preventing-workplace-violence](https://www.jointcommission.org/en-us/standards/national-performance-goals/preventing-workplace-violence)

    2. You may choose a policy you have access to from your organization. Other sources of policies include those published online from a different healthcare organization.

    · Describe clearly how the selected policy complies with or diverges from the requirements outlined in a related healthcare law, providing evidence to support your position.

    · Discuss the potential legal, ethical, or financial implications of non-compliance with the policy and its alignment with healthcare law or professional guidelines.

    · Consider the consequences for individual practitioners, stakeholders, and the healthcare organization.

    ·
    **Examples of Laws, Regulations, and Standards:**

    · Centers for Medicare & Medicaid Services (CMS) Federal regulations and guidance.

    · CMS Hospital Readmissions Reduction Program (HRRP).

    · CMS Inpatient Quality Reporting Program (IQR).

    · CMS Improving Medicare Post-Acute Transformation Act of 2014 (IMPACT Act) is a federal law that standardizes patient assessment data in post-acute care settings.

    · CMS Social Determinants of Health (SDOH) requirements.

    · The Joint Commission Standards and Measures.

    · Commission on Accreditation of Rehabilitation Facilities (CARF).

    · Centers for Disease Control and Prevention (CDC) – National Healthcare Safety Network.

    · National Database of Nursing Quality Indicators (NDNQI).

    · Agency for Healthcare Research and Quality (AHRQ).

    · National Committee for Quality Assurance (NCQA) – Healthcare Effectiveness Data and Information Set (HEDIS) measures.

    · The Patient Safety and Quality Improvement Act of 2005 (PSQIA) protects healthcare workers who report unsafe conditions at their practices. The law encourages individuals to report medical errors while maintaining patient confidentiality.

    3.
    **Benchmark Comparison:** Identify a benchmark or strategic goal and compare it to the policy, guideline, or regulation and goal that is not at the desired goal or range.

    · A benchmark in healthcare is a standard or point of reference used to measure and compare the performance of healthcare organizations, departments, or individual clinicians.

    · Benchmarks are used to identify areas for improvement and set goals for quality improvement.

    · These benchmarks could include national quality indicators, best practices recommended by professional organizations, or performance metrics set by regulatory agencies.

    · If you do not have access to your organization's benchmarks, one of the resources on the
    [Assessment 1: Benchmark Resources](https://capella.alma.exlibrisgroup.com/leganto/public/01CAPELLA_INST/lists/2475943070006731?auth=SAML&section=4480436400006731) reading list can be utilized to access benchmarks.

    · Describe the benchmarks associated with the healthcare law, policy, or guideline, and clearly articulate the connections between benchmarks and policy. There may be more than one benchmark for a topic, but only one is needed.

    · The comparison should include the benchmark’s numerical value.

    ·
    [Parkland Health: Preventive Care](https://capella.alma.exlibrisgroup.com/leganto/public/01CAPELLA_INST/lists/2475943070006731?auth=SAML&section=4480064520006731) example: This information is an example of available data that could be used to build a case for what needs improvement based on underperformance and help justify the consequences of not meeting the standards set for the CMS Core Measures. Some hospitals share lots of detail, while others provide limited information.

    4.
    **Metric Analysis:** Look at the metric or measure that is not being met or in compliance with the policy, guideline, or regulation and analyze what needs to be added, removed, or developed to ensure the benchmark is met.

    · Consider how an Interprofessional Education (IPE) team can develop a Quality Improvement (QI) plan to improve these outcomes.

    · Analyze the consequences of not meeting prescribed benchmarks and the impact this has on healthcare organizations or teams.

    · The
    [Agency for Healthcare Research and Quality Indicators](https://capella.alma.exlibrisgroup.com/leganto/public/01CAPELLA_INST/lists/2475943070006731?auth=SAML&section=4480455830006731) reading list is a good place to find this type of information.

    · Be sure to clearly identify implications and acknowledge assumptions underlying your analysis.

    5.
    **Sustainability and Ethics:** Describe what is needed to ensure that the project plan will be sustainable, efficient, effective, and evidence-based.

    · Consider how adherence to benchmarks can drive positive outcomes in patient care, safety, and overall organizational performance.

    · Explain how you can ensure the solution is ethical and protects vulnerable and diverse patient populations.

    · Advocate for ethical and sustainable actions directed toward an appropriate group of stakeholders, arguing effectively for recommended actions with a clear and perceptive explanation of the ethical principles and sustainability goals to guide such actions.

    **Note**: Ensure your data are Health Insurance Portability and Accountability Act (HIPAA) compliant. Do not use any easily identifiable organization or patient information.

    The report requirements outlined below correspond to the scoring guide criteria, so be sure to address each main point. Read the performance-level descriptions for each criterion to see how your work will be assessed. In addition, be sure to note the requirements for document format and length and for supporting evidence.

    · Describe how the selected policy complies with or diverges from the requirements outlined in the healthcare law.

    · Identify benchmarks associated with a healthcare law, policy, or guideline.

    · Evaluate dashboard metrics associated with benchmarks set forth by local, state, or federal healthcare laws or policies.

    · Identify a benchmark underperformance.

    · Analyze the consequences of not meeting prescribed benchmarks and the impact this has on healthcare organizations or teams.

    · Discuss the potential legal, ethical, or financial implications of non-compliance with the policy and its alignment with healthcare law or professional guidelines.

    · Consider the consequences for individual practitioners, stakeholders, and the healthcare organization.

    · Advocate for ethical and sustainable actions, directed toward an appropriate group of stakeholders, needed to address a benchmark underperformance.

    · Organize content so ideas flow logically with smooth transitions.

    · Proofread your report, before you submit it, to minimize errors that could distract readers and make it more difficult for them to focus on the substance of your evaluation and analysis.

    · Support main points, assertions, arguments, conclusions, or recommendations with relevant and credible evidence.

    · Be sure to apply correct APA formatting to source citations and references.

    Cite 4–6 credible, current, and scholarly references. Include the policy, law, or guidelines.

    By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and scoring guide criteria:

    · Competency 1: Analyze relevant healthcare laws, policies, and regulations; their application; and their effects on organizations, interprofessional teams, and professional practice.

    · Describe how a selected policy complies with or diverges from the requirements outlined in a related healthcare law.

    · Analyze the consequences of not meeting prescribed benchmarks and the impact this has on healthcare organizations or teams.

    · Competency 2: Lead the development and implementation of ethical and culturally sensitive policies that improve health outcomes for individuals, organizations, and populations.

    · Advocate for ethical and sustainable actions, directed toward an appropriate group of stakeholders, needed to address a benchmark underperformance.

    · Competency 3: Evaluate relevant indicators of performance, such as benchmarks, research, and best practices, to inform healthcare laws and policies for patients, organizations, and populations.

    · Identify benchmarks associated with a healthcare law, policy, or guideline.

    · Evaluate a benchmark underperformance in a healthcare organization or interprofessional team that has the potential for greatly improving overall quality or performance.

    · Competency 5: Produce clear, coherent, and professional written work, in accordance with Capella's writing standards.

    · Convey purpose, in an appropriate tone and style, incorporating supporting evidence and adhering to organizational, professional, and scholarly writing standards.

    NO USE OF AI

    USE OF PROPER IN TEXT CITATION

    Template:

    **Dashboard Metrics, Benchmarks, and Policy Decisions**

    This paragraph serves as the introduction to your analysis of a specific healthcare organization's policy. Its purpose is twofold: to introduce the policy itself and to establish its context within the organization. You'll begin by clearly identifying the policy you've selected, providing its official name or a concise description. Then, you'll delve into the background of the policy. This might include the reasons for its creation, when it was implemented, and any relevant history or evolution. Additionally, you'll explain the policy's role and relevance within the organization. Why is this policy important? What specific goals does it aim to achieve? How does it contribute to the organization's overall mission and objectives? Consider the policy's impact on various aspects of the organization, such as patient care, staff operations, resource allocation, or regulatory compliance. Essentially, you're setting the stage for your subsequent analysis by providing a clear understanding of what the policy is, where it came from, and why it matters to the healthcare organization.

    **Policy Analysis: Compliance and Divergence from Relevant Healthcare Law**

    This section of the paper will delve into a detailed analysis of the relationship of the specific policy and its relationship to a chosen healthcare law. It will clearly articulate how the policy (from the healthcare organization) either aligns with (complies) or deviates from (diverges) the requirements and provisions outlined in the law. The specific healthcare law relevant to the policy analysis will be explicitly named and potentially summarized. It's important to select a law that has a direct bearing on the policy in question. If the policy complies with the law, this section will meticulously detail
    _how_ it complies. It will identify specific provisions or requirements within the law and demonstrate how the policy's elements fulfill those requirements. If the policy diverges from the law, this section will clearly explain how and why it diverges. It will pinpoint the specific provisions of the law that the policy contradicts or fails to meet. Crucially, this analysis will be supported by concrete evidence, demonstrating the basis for the stated compliance or divergence.

    **Consequences of Benchmark Underperformance**

    This section of the paper will delve into the potential negative outcomes that arise when a healthcare organization or team fails to meet established benchmarks. It will move beyond simply stating that benchmarks are important and instead explore the specific repercussions of not achieving them. Your analysis will pinpoint the direct and indirect consequences of missing benchmarks. You will also address the impact on the organization/team by examining the impact on different departments or individuals, the overall organizational culture, and the ability to achieve strategic goals. Your analysis should highlight the clear implications of these consequences. This means going beyond simply listing negative outcomes and explaining their significance. What are the long-term effects of these consequences? Finally, this section will explicitly acknowledge any assumptions that underlie the analysis.

    **Evaluating Benchmark Underperformance for Quality Improvement**

    This section of the paper will delve into a specific instance of benchmark underperformance within a healthcare organization or interprofessional team. It will not simply identify the underperformance but will thoroughly analyze it, explaining its potential for significant positive impact on overall quality or performance if addressed. The core of this section lies in building a robust and persuasive argument demonstrating the importance of the chosen benchmark and the potential gains from improvement. Explore the "why" behind the underperformance and investigate the root causes contributing to the gap between current performance and the established benchmark. Additionally, you would provide a fully substantiated argument for how improving performance on this specific benchmark will lead to significant improvements in overall quality or performance. This argument should go beyond simply stating the obvious by connecting the benchmark to specific outcomes while providing evidence-based support.

    **Advocacy for Ethical and Sustainable Solutions to Benchmark Underperformance**

    This section of the paper will delve into the crucial role of advocacy in addressing the specific benchmark underperformance within the chosen healthcare organization. It will move beyond simply identifying the underperformance to proposing concrete, actionable recommendations for improvement. However, these recommendations should be explicitly grounded in ethical principles and sustainability goals. The section will begin by identifying the relevant stakeholders impacted by the benchmark underperformance. The core of this section will be a clear and compelling argument for specific actions needed to address the underperforming benchmark. This argument will be directed towards the appropriate stakeholder groups, recognizing that different stakeholders may have different priorities and concerns. The section should also explain
    _how_ the proposed actions uphold these ethical principles and why they represent the ethically sound course of action. Beyond ethical considerations, the section will also address the sustainability of the proposed solutions. This means considering the long-term impact of the actions and ensuring they are environmentally, economically, and socially responsible.

    **Conclusion**

    Your concluding paragraph is your opportunity to leave a lasting impression. This is your chance to synthesize your arguments, offer a broader perspective, and potentially suggest future directions. Here, you will briefly summarize the main points or supporting arguments you've presented and discuss the broader implications of your analysis of the healthcare policy.

    **References**

    Provide your references and ensure that it is in accordance with APA seventh edition formatting.

  • [Solved] Change

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  • [Solved] Business & Finance Business 508 Managerial Analytics ( Excel Spread Sheet Homework)

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    Excel Spreadsheet Assignment Simple. **files (1)** – ## BUSI508_Excel_Homework_Assignment1.docx **## BUSI508_Excel_Homework_Assignment1.docx** ## Excel Homework Assignment 1 – Business Analytics Basics (50 Points) Course: Business Analytics / Project Management Analytics Submission Format: Exc…

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    Excel Spreadsheet Assignment Simple.

    **files (1)**

    – ## BUSI508_Excel_Homework_Assignment1.docx

    **## BUSI508_Excel_Homework_Assignment1.docx**

    ## Excel Homework Assignment 1 – Business Analytics Basics (50 Points)

    Course: Business Analytics / Project Management Analytics

    Submission Format: Excel File Upload

    ### Assignment Overview

    This assignment is designed to help you practice basic Excel skills and introductory business analytics modeling. You will build a simple spreadsheet, apply formulas, and use Excel to support a basic business decision.

    ### Student Task (Excel Assignment)

    Create one Excel worksheet named: Sales_Model

    Enter the following data:

    | | | | |
    | — | — | — | — |
    | Product | Unit Price ($) | Units Sold | Cost per Unit ($) |
    | A | 25 | 100 | 10 |
    | B | 40 | 80 | 18 |
    | C | 60 | 50 | 25 |

    ### Requirements (ONLY 3 TASKS)

    1) Create formulas to calculate:

    – Revenue = Unit Price × Units Sold

    – Total Cost = Cost per Unit × Units Sold

    – Profit = Revenue − Total Cost

    2) Use Excel functions to calculate at the bottom of the table:

    – Total Revenue (SUM)

    – Total Profit (SUM)

    3) Decision Question (written in Excel or a separate cell):

    – Which product is the most profitable and why?

    ### Submission Instructions

    Submit one Excel file containing:

    – Completed calculations

    – Formulas (not hard-coded numbers)

    – Decision answer

    ### Grading Rubric (50 Points)

    | | |
    | — | — |
    | Category | Points |
    | Correct formulas | 20 |
    | Correct calculations | 15 |
    | Decision answer | 10 |
    | Formatting & clarity | 5 |

    **## BUSI508_Excel_Homework_Assignment1.docx**

    ## Excel Homework Assignment 1 – Business Analytics Basics (50 Points)

    Course: Business Analytics / Project Management Analytics

    Submission Format: Excel File Upload

    ### Assignment Overview

    This assignment is designed to help you practice basic Excel skills and introductory business analytics modeling. You will build a simple spreadsheet, apply formulas, and use Excel to support a basic business decision.

    ### Student Task (Excel Assignment)

    Create one Excel worksheet named: Sales_Model

    Enter the following data:

    | | | | |
    | — | — | — | — |
    | Product | Unit Price ($) | Units Sold | Cost per Unit ($) |
    | A | 25 | 100 | 10 |
    | B | 40 | 80 | 18 |
    | C | 60 | 50 | 25 |

    ### Requirements (ONLY 3 TASKS)

    1) Create formulas to calculate:

    – Revenue = Unit Price × Units Sold

    – Total Cost = Cost per Unit × Units Sold

    – Profit = Revenue − Total Cost

    2) Use Excel functions to calculate at the bottom of the table:

    – Total Revenue (SUM)

    – Total Profit (SUM)

    3) Decision Question (written in Excel or a separate cell):

    – Which product is the most profitable and why?

    ### Submission Instructions

    Submit one Excel file containing:

    – Completed calculations

    – Formulas (not hard-coded numbers)

    – Decision answer

    ### Grading Rubric (50 Points)

    | | |
    | — | — |
    | Category | Points |
    | Correct formulas | 20 |
    | Correct calculations | 15 |
    | Decision answer | 10 |
    | Formatting & clarity | 5 |

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    **files (3)** – ## Rhetorical-Analysis-Thesis.pdf – ## Brandeupdate.docx – ## Study_Finds_Mental_Health_Bene.pdf **## Rhetorical-Analysis-Thesis.pdf** Created by the Virginia Wesleyan College Learning Center Clarke Hall, Room 223 Need help from a tutor? Visit http://vwc.mywconline.com Rhetorical…

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    **files (3)**

    – ## Rhetorical-Analysis-Thesis.pdf

    – ## Brandeupdate.docx

    – ## Study_Finds_Mental_Health_Bene.pdf

    **## Rhetorical-Analysis-Thesis.pdf**

    Created by the Virginia Wesleyan College Learning Center
    Clarke Hall, Room 223

    Need help from a tutor? Visit http://vwc.mywconline.com

    Rhetorical Analysis Thesis Statements

    A strong thesis statement for a rhetorical analysis essay…

     Avoids using the first person or phrases like “I believe” or “I think”

     Serves as a guide to your essay for your reader

     Asserts your conclusion and takes a stand on the author’s rhetorical strategies

     States what techniques you will be analyzing, and the impact of these techniques on the
    effectiveness of the text.

    Examples of strong thesis statements for rhetorical analysis:

     Jones effectively convinces his audience that —- through the use of statistics and surveys paired
    with emotional stories.

     Although Myers includes many convincing logical arguments through the use of historical facts,
    her readers may doubt her objectivity because of her sarcastic tone.

     Thompson uses personal stories and tells of his extensive research in the area to make his
    readers believe in his credibility. These appeals to ethos, combined with his friendly tone,
    creates an effective argument for —-.

     Roberts employs the rhetorical appeals of pathos and ethos effectively. However, his use of
    unsupported logical appeals causes his readers to doubt his claim that —- is supported by
    research.

     Mitchell’s attempt to convince the audience that —– is unsuccessful because of his insensitive
    word choice and angry tone.

    Note: The above thesis statements all include the original author’s purpose/thesis. Your thesis does not

    have to include this as long as it appears in your introduction.

    A strong thesis statement for a rhetorical analysis is NOT…

     A simple statement of your topic

     A broad statement

     A statement of facts or statistics

     A summary of the author’s essay you are analyzing

     A statement of what you’re going to do in the essay

    Examples of weak rhetorical analysis thesis statements:

     Abortion is a big issue in the United States.

     The author claims abortion is a big issue in the United States.

     I’m going to examine how this author uses pathos, ethos, and logos to convince his audience.

     The author uses pathos, ethos and logos.

    **## Brandeupdate.docx**

    Part I

    SUBMIT: SUMMARY (with Work Cited page) of "Your Children's Smartphones Aren't Making Them Smarter"

    ·
    **Available** Feb 2 at 6am – Feb 7 at 11:59pm

    **AI warning:**
    **Please do not use AI to to compose the summary. You should create your own summary of the article and the wording should be yours and yours only. If you take any information word for word from the article, you must place that information in quotation marks.  However, in a summary, it is best not to use quoted material, if possible. Use of AI means a failing grade- see course policy.  Thank you.**

    · Using the plan of the paragraph that you outlined last week, create a draft of a summary paragraph. Edit, proofread, and fine tune the draft and then submit your
    **final MLA formatted summary** of "Your Children's Smartphones Aren't Making Them Smarter".

    · Your summary should include an MLA style header, heading, and the centered title:

    · Summary of  "Your Children's Smartphones Aren't Making Them Smarter"

    · For the summary submission, use the title that I have provided after the colon (above), and be sure that you center the title.

    · Indent the first sentence (tab once)

    · Be sure that your topic sentence includes at the very least th
    **e author's full name**,
    **title of the article**, and the
    **main idea.** Use the completed template from last week's assignment for the topic sentence.

    · Be sure that you have at least 3-4 major supporting points for the main idea.

    · Connect your summary major points with transition words (see document posted or your text for a list)

    · You will add a
    **Work Cited page in MLA format for this assignment.**  You may copy and paste the source information below on your Work Cited page.
    Please see the sample MLA formatted essay posted.

    "Your Children's Smartphones Aren't Making Them Smarter."
    _CNN Wire_, 2 Sept. 2024.
    _Gale In Context:_

    _College_, link.gale.com/apps/doc/A806893299/CSIC?u=durham_tccl&sid=summon&xid=e814ac0d

    **Part 2**

    Thesis Statement Submission Assignment

    Article Choices for Essay 1

    Article Choices

    These are the three articles from which you will choose ONE to read and analyze for your first essay.

    ["Study Finds Mental Health Benefit to One-Week Social Media Break"](https://durhamtech.instructure.com/courses/17136/files/2404365?wrap=1) [Download "Study Finds Mental Health Benefit to One-Week Social Media Break"](https://durhamtech.instructure.com/courses/17136/files/2404365/download?download_frd=1)

    ["Who Really Benefits from AI?"](https://durhamtech.instructure.com/courses/17136/files/2404368?wrap=1) [Download "Who Really Benefits from AI?"](https://durhamtech.instructure.com/courses/17136/files/2404368/download?download_frd=1)

    ["Why Aren't We Losing Our Minds Over the Plastic in Our Brains?"Links to an external site.](https://www.scientificamerican.com/article/why-arent-we-losing-our-minds-over-the-plastic-in-our-brains/)

    For this assignment, you will want to write up your actual thesis statement for Essay #1. Remember:

    1. Your thesis should be one sentence.

    2. Your thesis is your claim about the author's use of rhetoric.

    3. Your thesis needs to contain an argument.

    4. Your thesis is not a statement of summary about the author's main point.

    5. Use the PDF attached below for guidance.

    **## Study_Finds_Mental_Health_Bene.pdf**

    Disclaimer: This is a machine generated PDF of selected content from our products. This functionality is provided solely for your
    convenience and is in no way intended to replace original scanned PDF. Neither Cengage Learning nor its licensors make any
    representations or warranties with respect to the machine generated PDF. The PDF is automatically generated "AS IS" and "AS
    AVAILABLE" and are not retained in our systems. CENGAGE LEARNING AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY
    AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY,
    ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGEMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR
    PURPOSE. Your use of the machine generated PDF is subject to all use restrictions contained in The Cengage Learning
    Subscription and License Agreement and/or the Gale In Context: U.S. History Terms and Conditions and by using the machine
    generated PDF functionality you agree to forgo any and all claims against Cengage Learning or its licensors for your use of the
    machine generated PDF functionality and any output derived therefrom.

    Study Finds Mental Health Benefit to One-Week Social Media
    Break.
    Author: Ellen Barry
    Date: Nov. 24, 2025
    From: The New York Times (Digital Edition)
    Publisher: The New York Times Company
    Document Type: Article
    Length: 1,383 words
    Content Level: 3
    Lexile Measure: 900L

    Full Text:
    Young adults who engaged in a social media “detox” reported reductions in depression, anxiety and insomnia, though it was unclear
    how long the effects would last.

    Dialing down the use of social media for a week reduced symptoms of anxiety, depression and insomnia in young adults, according
    to a study published on Monday in the journal JAMA Network Open.

    Researchers followed 295 volunteers, ages 18 to 24, who opted to take a break from social media. Instructed to stay off social media
    as much as possible, the group on average reduced it to a half-hour per day from just under two hours. Before and after, the
    participants answered surveys measuring depression, anxiety, insomnia, loneliness and a number of problematic social media
    behaviors.

    Overall, they reported positive changes: On average, symptoms of anxiety dropped by 16.1 percent; symptoms of depression by 24.8
    percent; and symptoms of insomnia by 14.5 percent. The improvement was most pronounced in subjects with more severe
    depression. At the same time, there was no change in reported loneliness — perhaps, the authors wrote, because the platforms play
    a constructive social role.

    Dr. John Torous, an associate professor of psychiatry at Harvard Medical School and a co-author of the study, said reducing social
    media “certainly would not be your first-line or your only form of care,” but the study showed it could be useful as an adjunct
    treatment.

    “If you’re struggling with a mental health condition, and you have treatment already,” he said, “it’s likely worth experimenting to see
    whether reducing social media helps you feel better.”

    Dr. Torous urged caution in interpreting the results as treatment advice. The subjects had volunteered for the detox, and they had
    minimal mental health symptoms to begin with, so the magnitude of the improvement was not drastic. Also, there was, he said,
    “tremendous heterogeneity in the differences in how people responded,” and not everyone benefited.

    “The averages are encouraging,” he said, “but they definitely don’t tell the full story, the variance was just so tremendous.”

    Dr. Torous, who heads a digital mental health clinic at Beth Israel Deaconess Medical Center in Boston, said he became curious
    about the effects of reduced social media use because many of his college-aged patients reported benefiting from social media
    breaks.

    When he sought out research literature on the subject, he found that it was “confusing” and “mixed.” His team decided to begin a
    study using “digital phenotyping,” a method that collects real-time information about subjects’ behavior from their devices.

    He said young people eagerly came forward to volunteer for the study, which paid $150. “People are naturally interested, which I
    think is a good sign,” he said. Participants were asked to stop using Facebook and X, which they mostly did successfully, he said,
    and also Instagram, TikTok and Snapchat, which proved more difficult.

    The mental health benefit seemed to come from avoiding problematic social media behaviors, like addictive use and negative social
    comparison, rather than a change in overall screen time, the authors said. Indeed, the participants, on average, spent slightly more
    time on their phones during the detox week.

    [https://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2025.45245?guestAccessKey=1b34668e-afe8-4888-aa3d-dd05b3b83eff&utm_source=for_the_media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=112425](https://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2025.45245?guestAccessKey=1b34668e-afe8-4888-aa3d-dd05b3b83eff&utm_source=for_the_media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=112425)

    The findings land in the midst of an intense academic debate over whether excessive screen time causes mental health problems.

    One group of psychologists, including the social psychologist Jonathan Haidt, have identified the smartphone as the cause of
    deteriorating mental health among young people, and many communities have already taken steps to limit social media use or screen
    time, especially during school hours.

    At the same time, many specialists have urged caution about concluding that screen time is a central factor in declining mental
    health, saying that studies have yielded mixed results and that what seems to matter is what young people do online, not how much
    time they spend there.

    Several psychologists said the new study was of limited value because its design allowed for bias.

    It was not a randomized controlled trial, in which subjects were assigned to a treatment group (one that reduced social media use)
    and a control group (one that continued their usual social media habits). Instead, the participants opted to take a break from social
    media — and may have anticipated improvement.

    “The subjects would have known how they were expected to behave, and likely simply changed their responses accordingly,” said
    Christopher Ferguson, a professor of psychology at Stetson University, who was not involved in the study. Without comparison to a
    control group, he added, “these numbers are literally meaningless.”

    In a period of “technology moral panic,” he said, studies that find an effect receive far more attention than those that do not,
    something that he said could “distort public perceptions.”

    Candice L. Odgers, a professor of psychological science in informatics at the University of California, who was not involved in the
    study, said it was hardly surprising that “if we constantly tell people social media is bad for them and that taking a break is good, and
    then ask them to take a break and report how they feel after, this is what we see.”

    But others were cautiously optimistic about the results. Mitch Prinstein, chief science officer at the American Psychological
    Association, who was not involved in the study, said the findings added to existing evidence that, on average, “depression, anxiety,
    loneliness often go down” for those who go off social media for a while.

    Social media breaks are “a simple and free solution that seems to lead to quick improvement,” unlike psychotherapy, which can take
    weeks to have an effect, Dr. Prinstein said. “This is a solution that will empower most parents and young people themselves,” he said.
    “Use far less social media, and there is a reasonable chance that young people will start to feel a lot better.”

    Still, prior studies seeking to quantify the effects of “digital detoxes” have yielded mixed results. Dr. Ferguson last year published a
    meta-analysis of 27 experiments linking social media breaks to mental health, concluding that the average effect was “statistically no
    different than zero.” A review of 10 studies published in March in Scientific Reports also found no effects.

    Another meta-analysis examining 32 such experiments, published this year in the journal SSM-Mental Health, found that social media
    restriction “yields significant but small positive effects on subjective well-being.”

    Dr. Torous attributed the variation to the low quality of the existing research studies. He said he hoped further research would allow
    clinicians to tailor social media breaks to individuals who will benefit from them. He was not enthusiastic about banning social media
    use altogether, saying that it “could cause unintended consequences.”

    “It’s certainly possible to ban it, but that’s a very blunt, crude approach, at least for mental health,” he said.

    Academics who have called for strict limits on social media use greeted the new study as evidence that swift action is necessary.
    Jean Twenge, a professor of psychology at San Diego State University, who was not involved in the new study, described it as “the
    latest to show that cutting back on social media use can have mental health benefits.”

    Because improvements were most notable in people who were already depressed, she said, the finding “suggests that cutting back
    on social media for a week or two may be an effective treatment for people struggling with depression.”

    Dr. Twenge, the author of “10 Rules for Raising Kids in a High-Tech World,” said the study helped discount the longstanding
    argument that people experiencing mental health struggles simply use social media more.

    She noted, however, that more research was necessary to shed light on whether the effects were long-lasting. “The key would be to
    see how long people can keep up light use of social media,” she said. “If they slide back into old habits, the detox won’t have long-
    lasting effects. “

    PHOTO: On average, symptoms of anxiety dropped by 16.1 percent; symptoms of depression by 24.8 percent; and symptoms of
    insomnia by 14.5 percent. (PHOTOGRAPH BY Bee Trofort for The New York Times FOR THE NEW YORK TIMES)On average,
    symptoms of anxiety dropped by 16.1 percent; symptoms of depression by 24.8 percent; and symptoms of insomnia by 14.5
    percent.Bee Trofort for The New York Times

    Copyright: COPYRIGHT 2025 The New York Times
    https://www.nytimes.com/
    Source Citation (MLA 9th Edition)

    [https://www.nytimes.com/2025/04/01/opinion/ezra-klein-podcast-jonathan-haidt.html](https://www.nytimes.com/2025/04/01/opinion/ezra-klein-podcast-jonathan-haidt.html)

    [https://ballotpedia.org/State_policies_on_cellphone_use_in_K-12_public_schools](https://ballotpedia.org/State_policies_on_cellphone_use_in_K-12_public_schools)

    [https://ballotpedia.org/State_policies_on_cellphone_use_in_K-12_public_schools](https://ballotpedia.org/State_policies_on_cellphone_use_in_K-12_public_schools)

    [https://www.nytimes.com/2024/06/19/health/social-media-kids-mental-health.html](https://www.nytimes.com/2024/06/19/health/social-media-kids-mental-health.html)

    [https://www.christopherjferguson.com/Social%20Media%20Experiments%20Meta.pdf](https://www.christopherjferguson.com/Social%20Media%20Experiments%20Meta.pdf)

    [https://pdf.sciencedirectassets.com/777253/1-s2.0-S2666560324X00031/1-s2.0-S2666560325000714/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEGMaCXVzLWVhc3QtMSJHMEUCIF0v81iqVacaksH6M%2FTQsNhuUp3CB2OiC1b5gB2XZGPgAiEAra5yYXrl9Rn5bjeY8ISgBHLPIMncPKx%2Bho%2B9oCZNe%2B4qswUILBAFGgwwNTkwMDM1NDY4NjUiDJXkoo%2FCIMtghnmGASqQBcePih9so8lsgpyTn6IixH4fKFdtcrPeJqNfgovNDy%2B81H%2BARVJtyYTr4v%2FJFTGsugb%2FuNPHNalu%2BCyDJYjFDyNkm1ZZjb1zB1RpS%2FcM1GZrnBYt5%2F2XnsuH8hk14CmkRhxf0moCtLUTi8txSTia%2FD8XSGsvkDUCAaMCqmiZ4log8PJm6CJnFzqWn15kc3lbHX6DoE8WPXtAVsxHtD0LjJYaSMKqEf8YYZ%2BvQHRQo3aDhxo5NfErpumDlQobmIcA1%2F9Tnc6hT6uxapfhx7wXDHQFM9ZFXGRaUAT7Hyl83LgRypQoXUEB22H2D%2BGhaM78VjwpCER6ngTLU7k5syVFsbwGVl4HDWnLJ8CWQxwSdINBa20F97Nw9NTObBjYObc292pEqVjPseEfXkvWH6jMiesNajsxkVvp4VzVTReOqVbOIYdr1EQi%2FH%2FDJM5VVTAC4HpAsHcQ22gYX5CbNLNxbv%2FAUMqI52OjF%2FQ3N1%2B2dJpT3%2F0cEvqNV95ambnzRQ%2BkPE7SY7L5ppXIMC%2FjxTlZqzPr5gDKg%2FSIQUcKbRtybOpliel1v5TJcEo1Qnel2d10QvJkVIkfTDke5KEvz8i6Rz%2BVgK72DPj6m%2FYg0kgm7lSfGMS9n4ZpQQpRkCwL9NMomQ6FcUljsc5iGz4viIutsqJ4xPNf8rqYvv01U5Q7q7kBtceyypPSOVKLSjGGXFKL65Vv1KAU%2FE%2Fh%2Fg81dpiU7YnhLcl2gpGZja3Yr1lz48GQghj28FBSwinGTaI9BIuPjjaSgBl9BxGLxVGNsr%2F54S%2B%2FUA60TAnyVzp6eHTuU%2FERWcAHXD6legbt35l12xK6R%2BHGCPjuuXUmfRqe4ZMD9EbkUsmvx%2Biw%2B5MSLpCGKJ8nMLCDiMkGOrEBRlugUaytcH3oi9FUeq5U7iWiiKt479qrm5zCXJQokT6XgHz2mUwOKejEMYHzCAU3KxOYpP8AljUbnEMeOUDIVWgxRqismjHafEn64KRCe%2BDbsDb7hTVF8LYWOo%2FFcBfZ4R4VsZdRcXoZkcVPMb9JpVP33epA9gUpAxXlUdO8YQ2oontdKx94xEjfDbuDVam8MvT2sF87LWgkeaXAN%2FSe257WuR5S3%2B32xBCXS14pNmd%2F&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20251122T190035Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTY46JSLDRN%2F20251122%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=58bd1c870db4f3f937242a461186f6541315e6b24ceec6beef37b108be8a7f3d&hash=9c60e4f6c07eff3e53e58265e9e266df36824712654acb6bc18d1459bc639803&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S2666560325000714&tid=spdf-bc8b714c-f75b-4f31-932e-78c80035a77e&sid=f4ef5a065a89334e221911b9097f96b2f343gxrqa&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=1315560254010402050e&rr=9a2aabaa3bfc303a&cc=us](https://pdf.sciencedirectassets.com/777253/1-s2.0-S2666560324X00031/1-s2.0-S2666560325000714/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEGMaCXVzLWVhc3QtMSJHMEUCIF0v81iqVacaksH6M%2FTQsNhuUp3CB2OiC1b5gB2XZGPgAiEAra5yYXrl9Rn5bjeY8ISgBHLPIMncPKx%2Bho%2B9oCZNe%2B4qswUILBAFGgwwNTkwMDM1NDY4NjUiDJXkoo%2FCIMtghnmGASqQBcePih9so8lsgpyTn6IixH4fKFdtcrPeJqNfgovNDy%2B81H%2BARVJtyYTr4v%2FJFTGsugb%2FuNPHNalu%2BCyDJYjFDyNkm1ZZjb1zB1RpS%2FcM1GZrnBYt5%2F2XnsuH8hk14CmkRhxf0moCtLUTi8txSTia%2FD8XSGsvkDUCAaMCqmiZ4log8PJm6CJnFzqWn15kc3lbHX6DoE8WPXtAVsxHtD0LjJYaSMKqEf8YYZ%2BvQHRQo3aDhxo5NfErpumDlQobmIcA1%2F9Tnc6hT6uxapfhx7wXDHQFM9ZFXGRaUAT7Hyl83LgRypQoXUEB22H2D%2BGhaM78VjwpCER6ngTLU7k5syVFsbwGVl4HDWnLJ8CWQxwSdINBa20F97Nw9NTObBjYObc292pEqVjPseEfXkvWH6jMiesNajsxkVvp4VzVTReOqVbOIYdr1EQi%2FH%2FDJM5VVTAC4HpAsHcQ22gYX5CbNLNxbv%2FAUMqI52OjF%2FQ3N1%2B2dJpT3%2F0cEvqNV95ambnzRQ%2BkPE7SY7L5ppXIMC%2FjxTlZqzPr5gDKg%2FSIQUcKbRtybOpliel1v5TJcEo1Qnel2d10QvJkVIkfTDke5KEvz8i6Rz%2BVgK72DPj6m%2FYg0kgm7lSfGMS9n4ZpQQpRkCwL9NMomQ6FcUljsc5iGz4viIutsqJ4xPNf8rqYvv01U5Q7q7kBtceyypPSOVKLSjGGXFKL65Vv1KAU%2FE%2Fh%2Fg81dpiU7YnhLcl2gpGZja3Yr1lz48GQghj28FBSwinGTaI9BIuPjjaSgBl9BxGLxVGNsr%2F54S%2B%2FUA60TAnyVzp6eHTuU%2FERWcAHXD6legbt35l12xK6R%2BHGCPjuuXUmfRqe4ZMD9EbkUsmvx%2Biw%2B5MSLpCGKJ8nMLCDiMkGOrEBRlugUaytcH3oi9FUeq5U7iWiiKt479qrm5zCXJQokT6XgHz2mUwOKejEMYHzCAU3KxOYpP8AljUbnEMeOUDIVWgxRqismjHafEn64KRCe%2BDbsDb7hTVF8LYWOo%2FFcBfZ4R4VsZdRcXoZkcVPMb9JpVP33epA9gUpAxXlUdO8YQ2oontdKx94xEjfDbuDVam8MvT2sF87LWgkeaXAN%2FSe257WuR5S3%2B32xBCXS14pNmd%2F&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20251122T190035Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTY46JSLDRN%2F20251122%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=58bd1c870db4f3f937242a461186f6541315e6b24ceec6beef37b108be8a7f3d&hash=9c60e4f6c07eff3e53e58265e9e266df36824712654acb6bc18d1459bc639803&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S2666560325000714&tid=spdf-bc8b714c-f75b-4f31-932e-78c80035a77e&sid=f4ef5a065a89334e221911b9097f96b2f343gxrqa&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=1315560254010402050e&rr=9a2aabaa3bfc303a&cc=us)

    [https://www-sciencedirect-com.proxy055.nclive.org/science/article/pii/S2666560325000714](https://www-sciencedirect-com.proxy055.nclive.org/science/article/pii/S2666560325000714)

    [https://static01.nyt.com/images/2025/11/24/multimedia/24hs-social-detox-cbkm/24hs-social-detox-cbkm-articleLarge.jpg](https://static01.nyt.com/images/2025/11/24/multimedia/24hs-social-detox-cbkm/24hs-social-detox-cbkm-articleLarge.jpg)

    [https://static01.nyt.com/images/2025/11/24/multimedia/24hs-social-detox-cbkm/24hs-social-detox-cbkm-articleLarge.jpg](https://static01.nyt.com/images/2025/11/24/multimedia/24hs-social-detox-cbkm/24hs-social-detox-cbkm-articleLarge.jpg)

    [https://www.nytimes.com/](https://www.nytimes.com/)

    Barry, Ellen. "Study Finds Mental Health Benefit to One-Week Social Media Break." New York Times [Digital Edition], 24 Nov. 2025.
    Gale In Context: U.S. History, link.gale.com/apps/doc/A865160795/UHIC?u=durham_tccl&sid=summon&xid=3545f00b.
    Accessed 20 Jan. 2026.

    Gale Document Number: GALE|A865160795

    **## Study_Finds_Mental_Health_Bene.pdf**

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    Study Finds Mental Health Benefit to One-Week Social Media
    Break.
    Author: Ellen Barry
    Date: Nov. 24, 2025
    From: The New York Times (Digital Edition)
    Publisher: The New York Times Company
    Document Type: Article
    Length: 1,383 words
    Content Level: 3
    Lexile Measure: 900L

    Full Text:
    Young adults who engaged in a social media “detox” reported reductions in depression, anxiety and insomnia, though it was unclear
    how long the effects would last.

    Dialing down the use of social media for a week reduced symptoms of anxiety, depression and insomnia in young adults, according
    to a study published on Monday in the journal JAMA Network Open.

    Researchers followed 295 volunteers, ages 18 to 24, who opted to take a break from social media. Instructed to stay off social media
    as much as possible, the group on average reduced it to a half-hour per day from just under two hours. Before and after, the
    participants answered surveys measuring depression, anxiety, insomnia, loneliness and a number of problematic social media
    behaviors.

    Overall, they reported positive changes: On average, symptoms of anxiety dropped by 16.1 percent; symptoms of depression by 24.8
    percent; and symptoms of insomnia by 14.5 percent. The improvement was most pronounced in subjects with more severe
    depression. At the same time, there was no change in reported loneliness — perhaps, the authors wrote, because the platforms play
    a constructive social role.

    Dr. John Torous, an associate professor of psychiatry at Harvard Medical School and a co-author of the study, said reducing social
    media “certainly would not be your first-line or your only form of care,” but the study showed it could be useful as an adjunct
    treatment.

    “If you’re struggling with a mental health condition, and you have treatment already,” he said, “it’s likely worth experimenting to see
    whether reducing social media helps you feel better.”

    Dr. Torous urged caution in interpreting the results as treatment advice. The subjects had volunteered for the detox, and they had
    minimal mental health symptoms to begin with, so the magnitude of the improvement was not drastic. Also, there was, he said,
    “tremendous heterogeneity in the differences in how people responded,” and not everyone benefited.

    “The averages are encouraging,” he said, “but they definitely don’t tell the full story, the variance was just so tremendous.”

    Dr. Torous, who heads a digital mental health clinic at Beth Israel Deaconess Medical Center in Boston, said he became curious
    about the effects of reduced social media use because many of his college-aged patients reported benefiting from social media
    breaks.

    When he sought out research literature on the subject, he found that it was “confusing” and “mixed.” His team decided to begin a
    study using “digital phenotyping,” a method that collects real-time information about subjects’ behavior from their devices.

    He said young people eagerly came forward to volunteer for the study, which paid $150. “People are naturally interested, which I
    think is a good sign,” he said. Participants were asked to stop using Facebook and X, which they mostly did successfully, he said,
    and also Instagram, TikTok and Snapchat, which proved more difficult.

    The mental health benefit seemed to come from avoiding problematic social media behaviors, like addictive use and negative social
    comparison, rather than a change in overall screen time, the authors said. Indeed, the participants, on average, spent slightly more
    time on their phones during the detox week.

    [https://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2025.45245?guestAccessKey=1b34668e-afe8-4888-aa3d-dd05b3b83eff&utm_source=for_the_media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=112425](https://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2025.45245?guestAccessKey=1b34668e-afe8-4888-aa3d-dd05b3b83eff&utm_source=for_the_media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=112425)

    The findings land in the midst of an intense academic debate over whether excessive screen time causes mental health problems.

    One group of psychologists, including the social psychologist Jonathan Haidt, have identified the smartphone as the cause of
    deteriorating mental health among young people, and many communities have already taken steps to limit social media use or screen
    time, especially during school hours.

    At the same time, many specialists have urged caution about concluding that screen time is a central factor in declining mental
    health, saying that studies have yielded mixed results and that what seems to matter is what young people do online, not how much
    time they spend there.

    Several psychologists said the new study was of limited value because its design allowed for bias.

    It was not a randomized controlled trial, in which subjects were assigned to a treatment group (one that reduced social media use)
    and a control group (one that continued their usual social media habits). Instead, the participants opted to take a break from social
    media — and may have anticipated improvement.

    “The subjects would have known how they were expected to behave, and likely simply changed their responses accordingly,” said
    Christopher Ferguson, a professor of psychology at Stetson University, who was not involved in the study. Without comparison to a
    control group, he added, “these numbers are literally meaningless.”

    In a period of “technology moral panic,” he said, studies that find an effect receive far more attention than those that do not,
    something that he said could “distort public perceptions.”

    Candice L. Odgers, a professor of psychological science in informatics at the University of California, who was not involved in the
    study, said it was hardly surprising that “if we constantly tell people social media is bad for them and that taking a break is good, and
    then ask them to take a break and report how they feel after, this is what we see.”

    But others were cautiously optimistic about the results. Mitch Prinstein, chief science officer at the American Psychological
    Association, who was not involved in the study, said the findings added to existing evidence that, on average, “depression, anxiety,
    loneliness often go down” for those who go off social media for a while.

    Social media breaks are “a simple and free solution that seems to lead to quick improvement,” unlike psychotherapy, which can take
    weeks to have an effect, Dr. Prinstein said. “This is a solution that will empower most parents and young people themselves,” he said.
    “Use far less social media, and there is a reasonable chance that young people will start to feel a lot better.”

    Still, prior studies seeking to quantify the effects of “digital detoxes” have yielded mixed results. Dr. Ferguson last year published a
    meta-analysis of 27 experiments linking social media breaks to mental health, concluding that the average effect was “statistically no
    different than zero.” A review of 10 studies published in March in Scientific Reports also found no effects.

    Another meta-analysis examining 32 such experiments, published this year in the journal SSM-Mental Health, found that social media
    restriction “yields significant but small positive effects on subjective well-being.”

    Dr. Torous attributed the variation to the low quality of the existing research studies. He said he hoped further research would allow
    clinicians to tailor social media breaks to individuals who will benefit from them. He was not enthusiastic about banning social media
    use altogether, saying that it “could cause unintended consequences.”

    “It’s certainly possible to ban it, but that’s a very blunt, crude approach, at least for mental health,” he said.

    Academics who have called for strict limits on social media use greeted the new study as evidence that swift action is necessary.
    Jean Twenge, a professor of psychology at San Diego State University, who was not involved in the new study, described it as “the
    latest to show that cutting back on social media use can have mental health benefits.”

    Because improvements were most notable in people who were already depressed, she said, the finding “suggests that cutting back
    on social media for a week or two may be an effective treatment for people struggling with depression.”

    Dr. Twenge, the author of “10 Rules for Raising Kids in a High-Tech World,” said the study helped discount the longstanding
    argument that people experiencing mental health struggles simply use social media more.

    She noted, however, that more research was necessary to shed light on whether the effects were long-lasting. “The key would be to
    see how long people can keep up light use of social media,” she said. “If they slide back into old habits, the detox won’t have long-
    lasting effects. “

    PHOTO: On average, symptoms of anxiety dropped by 16.1 percent; symptoms of depression by 24.8 percent; and symptoms of
    insomnia by 14.5 percent. (PHOTOGRAPH BY Bee Trofort for The New York Times FOR THE NEW YORK TIMES)On average,
    symptoms of anxiety dropped by 16.1 percent; symptoms of depression by 24.8 percent; and symptoms of insomnia by 14.5
    percent.Bee Trofort for The New York Times

    Copyright: COPYRIGHT 2025 The New York Times
    https://www.nytimes.com/
    Source Citation (MLA 9th Edition)

    [https://www.nytimes.com/2025/04/01/opinion/ezra-klein-podcast-jonathan-haidt.html](https://www.nytimes.com/2025/04/01/opinion/ezra-klein-podcast-jonathan-haidt.html)

    [https://ballotpedia.org/State_policies_on_cellphone_use_in_K-12_public_schools](https://ballotpedia.org/State_policies_on_cellphone_use_in_K-12_public_schools)

    [https://ballotpedia.org/State_policies_on_cellphone_use_in_K-12_public_schools](https://ballotpedia.org/State_policies_on_cellphone_use_in_K-12_public_schools)

    [https://www.nytimes.com/2024/06/19/health/social-media-kids-mental-health.html](https://www.nytimes.com/2024/06/19/health/social-media-kids-mental-health.html)

    [https://www.christopherjferguson.com/Social%20Media%20Experiments%20Meta.pdf](https://www.christopherjferguson.com/Social%20Media%20Experiments%20Meta.pdf)

    [https://pdf.sciencedirectassets.com/777253/1-s2.0-S2666560324X00031/1-s2.0-S2666560325000714/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEGMaCXVzLWVhc3QtMSJHMEUCIF0v81iqVacaksH6M%2FTQsNhuUp3CB2OiC1b5gB2XZGPgAiEAra5yYXrl9Rn5bjeY8ISgBHLPIMncPKx%2Bho%2B9oCZNe%2B4qswUILBAFGgwwNTkwMDM1NDY4NjUiDJXkoo%2FCIMtghnmGASqQBcePih9so8lsgpyTn6IixH4fKFdtcrPeJqNfgovNDy%2B81H%2BARVJtyYTr4v%2FJFTGsugb%2FuNPHNalu%2BCyDJYjFDyNkm1ZZjb1zB1RpS%2FcM1GZrnBYt5%2F2XnsuH8hk14CmkRhxf0moCtLUTi8txSTia%2FD8XSGsvkDUCAaMCqmiZ4log8PJm6CJnFzqWn15kc3lbHX6DoE8WPXtAVsxHtD0LjJYaSMKqEf8YYZ%2BvQHRQo3aDhxo5NfErpumDlQobmIcA1%2F9Tnc6hT6uxapfhx7wXDHQFM9ZFXGRaUAT7Hyl83LgRypQoXUEB22H2D%2BGhaM78VjwpCER6ngTLU7k5syVFsbwGVl4HDWnLJ8CWQxwSdINBa20F97Nw9NTObBjYObc292pEqVjPseEfXkvWH6jMiesNajsxkVvp4VzVTReOqVbOIYdr1EQi%2FH%2FDJM5VVTAC4HpAsHcQ22gYX5CbNLNxbv%2FAUMqI52OjF%2FQ3N1%2B2dJpT3%2F0cEvqNV95ambnzRQ%2BkPE7SY7L5ppXIMC%2FjxTlZqzPr5gDKg%2FSIQUcKbRtybOpliel1v5TJcEo1Qnel2d10QvJkVIkfTDke5KEvz8i6Rz%2BVgK72DPj6m%2FYg0kgm7lSfGMS9n4ZpQQpRkCwL9NMomQ6FcUljsc5iGz4viIutsqJ4xPNf8rqYvv01U5Q7q7kBtceyypPSOVKLSjGGXFKL65Vv1KAU%2FE%2Fh%2Fg81dpiU7YnhLcl2gpGZja3Yr1lz48GQghj28FBSwinGTaI9BIuPjjaSgBl9BxGLxVGNsr%2F54S%2B%2FUA60TAnyVzp6eHTuU%2FERWcAHXD6legbt35l12xK6R%2BHGCPjuuXUmfRqe4ZMD9EbkUsmvx%2Biw%2B5MSLpCGKJ8nMLCDiMkGOrEBRlugUaytcH3oi9FUeq5U7iWiiKt479qrm5zCXJQokT6XgHz2mUwOKejEMYHzCAU3KxOYpP8AljUbnEMeOUDIVWgxRqismjHafEn64KRCe%2BDbsDb7hTVF8LYWOo%2FFcBfZ4R4VsZdRcXoZkcVPMb9JpVP33epA9gUpAxXlUdO8YQ2oontdKx94xEjfDbuDVam8MvT2sF87LWgkeaXAN%2FSe257WuR5S3%2B32xBCXS14pNmd%2F&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20251122T190035Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTY46JSLDRN%2F20251122%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=58bd1c870db4f3f937242a461186f6541315e6b24ceec6beef37b108be8a7f3d&hash=9c60e4f6c07eff3e53e58265e9e266df36824712654acb6bc18d1459bc639803&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S2666560325000714&tid=spdf-bc8b714c-f75b-4f31-932e-78c80035a77e&sid=f4ef5a065a89334e221911b9097f96b2f343gxrqa&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=1315560254010402050e&rr=9a2aabaa3bfc303a&cc=us](https://pdf.sciencedirectassets.com/777253/1-s2.0-S2666560324X00031/1-s2.0-S2666560325000714/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEGMaCXVzLWVhc3QtMSJHMEUCIF0v81iqVacaksH6M%2FTQsNhuUp3CB2OiC1b5gB2XZGPgAiEAra5yYXrl9Rn5bjeY8ISgBHLPIMncPKx%2Bho%2B9oCZNe%2B4qswUILBAFGgwwNTkwMDM1NDY4NjUiDJXkoo%2FCIMtghnmGASqQBcePih9so8lsgpyTn6IixH4fKFdtcrPeJqNfgovNDy%2B81H%2BARVJtyYTr4v%2FJFTGsugb%2FuNPHNalu%2BCyDJYjFDyNkm1ZZjb1zB1RpS%2FcM1GZrnBYt5%2F2XnsuH8hk14CmkRhxf0moCtLUTi8txSTia%2FD8XSGsvkDUCAaMCqmiZ4log8PJm6CJnFzqWn15kc3lbHX6DoE8WPXtAVsxHtD0LjJYaSMKqEf8YYZ%2BvQHRQo3aDhxo5NfErpumDlQobmIcA1%2F9Tnc6hT6uxapfhx7wXDHQFM9ZFXGRaUAT7Hyl83LgRypQoXUEB22H2D%2BGhaM78VjwpCER6ngTLU7k5syVFsbwGVl4HDWnLJ8CWQxwSdINBa20F97Nw9NTObBjYObc292pEqVjPseEfXkvWH6jMiesNajsxkVvp4VzVTReOqVbOIYdr1EQi%2FH%2FDJM5VVTAC4HpAsHcQ22gYX5CbNLNxbv%2FAUMqI52OjF%2FQ3N1%2B2dJpT3%2F0cEvqNV95ambnzRQ%2BkPE7SY7L5ppXIMC%2FjxTlZqzPr5gDKg%2FSIQUcKbRtybOpliel1v5TJcEo1Qnel2d10QvJkVIkfTDke5KEvz8i6Rz%2BVgK72DPj6m%2FYg0kgm7lSfGMS9n4ZpQQpRkCwL9NMomQ6FcUljsc5iGz4viIutsqJ4xPNf8rqYvv01U5Q7q7kBtceyypPSOVKLSjGGXFKL65Vv1KAU%2FE%2Fh%2Fg81dpiU7YnhLcl2gpGZja3Yr1lz48GQghj28FBSwinGTaI9BIuPjjaSgBl9BxGLxVGNsr%2F54S%2B%2FUA60TAnyVzp6eHTuU%2FERWcAHXD6legbt35l12xK6R%2BHGCPjuuXUmfRqe4ZMD9EbkUsmvx%2Biw%2B5MSLpCGKJ8nMLCDiMkGOrEBRlugUaytcH3oi9FUeq5U7iWiiKt479qrm5zCXJQokT6XgHz2mUwOKejEMYHzCAU3KxOYpP8AljUbnEMeOUDIVWgxRqismjHafEn64KRCe%2BDbsDb7hTVF8LYWOo%2FFcBfZ4R4VsZdRcXoZkcVPMb9JpVP33epA9gUpAxXlUdO8YQ2oontdKx94xEjfDbuDVam8MvT2sF87LWgkeaXAN%2FSe257WuR5S3%2B32xBCXS14pNmd%2F&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20251122T190035Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTY46JSLDRN%2F20251122%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=58bd1c870db4f3f937242a461186f6541315e6b24ceec6beef37b108be8a7f3d&hash=9c60e4f6c07eff3e53e58265e9e266df36824712654acb6bc18d1459bc639803&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S2666560325000714&tid=spdf-bc8b714c-f75b-4f31-932e-78c80035a77e&sid=f4ef5a065a89334e221911b9097f96b2f343gxrqa&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=1315560254010402050e&rr=9a2aabaa3bfc303a&cc=us)

    [https://www-sciencedirect-com.proxy055.nclive.org/science/article/pii/S2666560325000714](https://www-sciencedirect-com.proxy055.nclive.org/science/article/pii/S2666560325000714)

    [https://static01.nyt.com/images/2025/11/24/multimedia/24hs-social-detox-cbkm/24hs-social-detox-cbkm-articleLarge.jpg](https://static01.nyt.com/images/2025/11/24/multimedia/24hs-social-detox-cbkm/24hs-social-detox-cbkm-articleLarge.jpg)

    [https://static01.nyt.com/images/2025/11/24/multimedia/24hs-social-detox-cbkm/24hs-social-detox-cbkm-articleLarge.jpg](https://static01.nyt.com/images/2025/11/24/multimedia/24hs-social-detox-cbkm/24hs-social-detox-cbkm-articleLarge.jpg)

    [https://www.nytimes.com/](https://www.nytimes.com/)

    Barry, Ellen. "Study Finds Mental Health Benefit to One-Week Social Media Break." New York Times [Digital Edition], 24 Nov. 2025.
    Gale In Context: U.S. History, link.gale.com/apps/doc/A865160795/UHIC?u=durham_tccl&sid=summon&xid=3545f00b.
    Accessed 20 Jan. 2026.

    Gale Document Number: GALE|A865160795

    **## Rhetorical-Analysis-Thesis.pdf**

    Created by the Virginia Wesleyan College Learning Center
    Clarke Hall, Room 223

    Need help from a tutor? Visit http://vwc.mywconline.com

    Rhetorical Analysis Thesis Statements

    A strong thesis statement for a rhetorical analysis essay…

     Avoids using the first person or phrases like “I believe” or “I think”

     Serves as a guide to your essay for your reader

     Asserts your conclusion and takes a stand on the author’s rhetorical strategies

     States what techniques you will be analyzing, and the impact of these techniques on the
    effectiveness of the text.

    Examples of strong thesis statements for rhetorical analysis:

     Jones effectively convinces his audience that —- through the use of statistics and surveys paired
    with emotional stories.

     Although Myers includes many convincing logical arguments through the use of historical facts,
    her readers may doubt her objectivity because of her sarcastic tone.

     Thompson uses personal stories and tells of his extensive research in the area to make his
    readers believe in his credibility. These appeals to ethos, combined with his friendly tone,
    creates an effective argument for —-.

     Roberts employs the rhetorical appeals of pathos and ethos effectively. However, his use of
    unsupported logical appeals causes his readers to doubt his claim that —- is supported by
    research.

     Mitchell’s attempt to convince the audience that —– is unsuccessful because of his insensitive
    word choice and angry tone.

    Note: The above thesis statements all include the original author’s purpose/thesis. Your thesis does not

    have to include this as long as it appears in your introduction.

    A strong thesis statement for a rhetorical analysis is NOT…

     A simple statement of your topic

     A broad statement

     A statement of facts or statistics

     A summary of the author’s essay you are analyzing

     A statement of what you’re going to do in the essay

    Examples of weak rhetorical analysis thesis statements:

     Abortion is a big issue in the United States.

     The author claims abortion is a big issue in the United States.

     I’m going to examine how this author uses pathos, ethos, and logos to convince his audience.

     The author uses pathos, ethos and logos.

    **## Brandeupdate.docx**

    Part I

    SUBMIT: SUMMARY (with Work Cited page) of "Your Children's Smartphones Aren't Making Them Smarter"

    ·
    **Available** Feb 2 at 6am – Feb 7 at 11:59pm

    **AI warning:**
    **Please do not use AI to to compose the summary. You should create your own summary of the article and the wording should be yours and yours only. If you take any information word for word from the article, you must place that information in quotation marks.  However, in a summary, it is best not to use quoted material, if possible. Use of AI means a failing grade- see course policy.  Thank you.**

    · Using the plan of the paragraph that you outlined last week, create a draft of a summary paragraph. Edit, proofread, and fine tune the draft and then submit your
    **final MLA formatted summary** of "Your Children's Smartphones Aren't Making Them Smarter".

    · Your summary should include an MLA style header, heading, and the centered title:

    · Summary of  "Your Children's Smartphones Aren't Making Them Smarter"

    · For the summary submission, use the title that I have provided after the colon (above), and be sure that you center the title.

    · Indent the first sentence (tab once)

    · Be sure that your topic sentence includes at the very least th
    **e author's full name**,
    **title of the article**, and the
    **main idea.** Use the completed template from last week's assignment for the topic sentence.

    · Be sure that you have at least 3-4 major supporting points for the main idea.

    · Connect your summary major points with transition words (see document posted or your text for a list)

    · You will add a
    **Work Cited page in MLA format for this assignment.**  You may copy and paste the source information below on your Work Cited page.
    Please see the sample MLA formatted essay posted.

    "Your Children's Smartphones Aren't Making Them Smarter."
    _CNN Wire_, 2 Sept. 2024.
    _Gale In Context:_

    _College_, link.gale.com/apps/doc/A806893299/CSIC?u=durham_tccl&sid=summon&xid=e814ac0d

    **Part 2**

    Thesis Statement Submission Assignment

    Article Choices for Essay 1

    Article Choices

    These are the three articles from which you will choose ONE to read and analyze for your first essay.

    ["Study Finds Mental Health Benefit to One-Week Social Media Break"](https://durhamtech.instructure.com/courses/17136/files/2404365?wrap=1) [Download "Study Finds Mental Health Benefit to One-Week Social Media Break"](https://durhamtech.instructure.com/courses/17136/files/2404365/download?download_frd=1)

    ["Who Really Benefits from AI?"](https://durhamtech.instructure.com/courses/17136/files/2404368?wrap=1) [Download "Who Really Benefits from AI?"](https://durhamtech.instructure.com/courses/17136/files/2404368/download?download_frd=1)

    ["Why Aren't We Losing Our Minds Over the Plastic in Our Brains?"Links to an external site.](https://www.scientificamerican.com/article/why-arent-we-losing-our-minds-over-the-plastic-in-our-brains/)

    For this assignment, you will want to write up your actual thesis statement for Essay #1. Remember:

    1. Your thesis should be one sentence.

    2. Your thesis is your claim about the author's use of rhetoric.

    3. Your thesis needs to contain an argument.

    4. Your thesis is not a statement of summary about the author's main point.

    5. Use the PDF attached below for guidance.

    **## Study_Finds_Mental_Health_Bene.pdf**

    Disclaimer: This is a machine generated PDF of selected content from our products. This functionality is provided solely for your
    convenience and is in no way intended to replace original scanned PDF. Neither Cengage Learning nor its licensors make any
    representations or warranties with respect to the machine generated PDF. The PDF is automatically generated "AS IS" and "AS
    AVAILABLE" and are not retained in our systems. CENGAGE LEARNING AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY
    AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY,
    ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGEMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR
    PURPOSE. Your use of the machine generated PDF is subject to all use restrictions contained in The Cengage Learning
    Subscription and License Agreement and/or the Gale In Context: U.S. History Terms and Conditions and by using the machine
    generated PDF functionality you agree to forgo any and all claims against Cengage Learning or its licensors for your use of the
    machine generated PDF functionality and any output derived therefrom.

    Study Finds Mental Health Benefit to One-Week Social Media
    Break.
    Author: Ellen Barry
    Date: Nov. 24, 2025
    From: The New York Times (Digital Edition)
    Publisher: The New York Times Company
    Document Type: Article
    Length: 1,383 words
    Content Level: 3
    Lexile Measure: 900L

    Full Text:
    Young adults who engaged in a social media “detox” reported reductions in depression, anxiety and insomnia, though it was unclear
    how long the effects would last.

    Dialing down the use of social media for a week reduced symptoms of anxiety, depression and insomnia in young adults, according
    to a study published on Monday in the journal JAMA Network Open.

    Researchers followed 295 volunteers, ages 18 to 24, who opted to take a break from social media. Instructed to stay off social media
    as much as possible, the group on average reduced it to a half-hour per day from just under two hours. Before and after, the
    participants answered surveys measuring depression, anxiety, insomnia, loneliness and a number of problematic social media
    behaviors.

    Overall, they reported positive changes: On average, symptoms of anxiety dropped by 16.1 percent; symptoms of depression by 24.8
    percent; and symptoms of insomnia by 14.5 percent. The improvement was most pronounced in subjects with more severe
    depression. At the same time, there was no change in reported loneliness — perhaps, the authors wrote, because the platforms play
    a constructive social role.

    Dr. John Torous, an associate professor of psychiatry at Harvard Medical School and a co-author of the study, said reducing social
    media “certainly would not be your first-line or your only form of care,” but the study showed it could be useful as an adjunct
    treatment.

    “If you’re struggling with a mental health condition, and you have treatment already,” he said, “it’s likely worth experimenting to see
    whether reducing social media helps you feel better.”

    Dr. Torous urged caution in interpreting the results as treatment advice. The subjects had volunteered for the detox, and they had
    minimal mental health symptoms to begin with, so the magnitude of the improvement was not drastic. Also, there was, he said,
    “tremendous heterogeneity in the differences in how people responded,” and not everyone benefited.

    “The averages are encouraging,” he said, “but they definitely don’t tell the full story, the variance was just so tremendous.”

    Dr. Torous, who heads a digital mental health clinic at Beth Israel Deaconess Medical Center in Boston, said he became curious
    about the effects of reduced social media use because many of his college-aged patients reported benefiting from social media
    breaks.

    When he sought out research literature on the subject, he found that it was “confusing” and “mixed.” His team decided to begin a
    study using “digital phenotyping,” a method that collects real-time information about subjects’ behavior from their devices.

    He said young people eagerly came forward to volunteer for the study, which paid $150. “People are naturally interested, which I
    think is a good sign,” he said. Participants were asked to stop using Facebook and X, which they mostly did successfully, he said,
    and also Instagram, TikTok and Snapchat, which proved more difficult.

    The mental health benefit seemed to come from avoiding problematic social media behaviors, like addictive use and negative social
    comparison, rather than a change in overall screen time, the authors said. Indeed, the participants, on average, spent slightly more
    time on their phones during the detox week.

    [https://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2025.45245?guestAccessKey=1b34668e-afe8-4888-aa3d-dd05b3b83eff&utm_source=for_the_media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=112425](https://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2025.45245?guestAccessKey=1b34668e-afe8-4888-aa3d-dd05b3b83eff&utm_source=for_the_media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=112425)

    The findings land in the midst of an intense academic debate over whether excessive screen time causes mental health problems.

    One group of psychologists, including the social psychologist Jonathan Haidt, have identified the smartphone as the cause of
    deteriorating mental health among young people, and many communities have already taken steps to limit social media use or screen
    time, especially during school hours.

    At the same time, many specialists have urged caution about concluding that screen time is a central factor in declining mental
    health, saying that studies have yielded mixed results and that what seems to matter is what young people do online, not how much
    time they spend there.

    Several psychologists said the new study was of limited value because its design allowed for bias.

    It was not a randomized controlled trial, in which subjects were assigned to a treatment group (one that reduced social media use)
    and a control group (one that continued their usual social media habits). Instead, the participants opted to take a break from social
    media — and may have anticipated improvement.

    “The subjects would have known how they were expected to behave, and likely simply changed their responses accordingly,” said
    Christopher Ferguson, a professor of psychology at Stetson University, who was not involved in the study. Without comparison to a
    control group, he added, “these numbers are literally meaningless.”

    In a period of “technology moral panic,” he said, studies that find an effect receive far more attention than those that do not,
    something that he said could “distort public perceptions.”

    Candice L. Odgers, a professor of psychological science in informatics at the University of California, who was not involved in the
    study, said it was hardly surprising that “if we constantly tell people social media is bad for them and that taking a break is good, and
    then ask them to take a break and report how they feel after, this is what we see.”

    But others were cautiously optimistic about the results. Mitch Prinstein, chief science officer at the American Psychological
    Association, who was not involved in the study, said the findings added to existing evidence that, on average, “depression, anxiety,
    loneliness often go down” for those who go off social media for a while.

    Social media breaks are “a simple and free solution that seems to lead to quick improvement,” unlike psychotherapy, which can take
    weeks to have an effect, Dr. Prinstein said. “This is a solution that will empower most parents and young people themselves,” he said.
    “Use far less social media, and there is a reasonable chance that young people will start to feel a lot better.”

    Still, prior studies seeking to quantify the effects of “digital detoxes” have yielded mixed results. Dr. Ferguson last year published a
    meta-analysis of 27 experiments linking social media breaks to mental health, concluding that the average effect was “statistically no
    different than zero.” A review of 10 studies published in March in Scientific Reports also found no effects.

    Another meta-analysis examining 32 such experiments, published this year in the journal SSM-Mental Health, found that social media
    restriction “yields significant but small positive effects on subjective well-being.”

    Dr. Torous attributed the variation to the low quality of the existing research studies. He said he hoped further research would allow
    clinicians to tailor social media breaks to individuals who will benefit from them. He was not enthusiastic about banning social media
    use altogether, saying that it “could cause unintended consequences.”

    “It’s certainly possible to ban it, but that’s a very blunt, crude approach, at least for mental health,” he said.

    Academics who have called for strict limits on social media use greeted the new study as evidence that swift action is necessary.
    Jean Twenge, a professor of psychology at San Diego State University, who was not involved in the new study, described it as “the
    latest to show that cutting back on social media use can have mental health benefits.”

    Because improvements were most notable in people who were already depressed, she said, the finding “suggests that cutting back
    on social media for a week or two may be an effective treatment for people struggling with depression.”

    Dr. Twenge, the author of “10 Rules for Raising Kids in a High-Tech World,” said the study helped discount the longstanding
    argument that people experiencing mental health struggles simply use social media more.

    She noted, however, that more research was necessary to shed light on whether the effects were long-lasting. “The key would be to
    see how long people can keep up light use of social media,” she said. “If they slide back into old habits, the detox won’t have long-
    lasting effects. “

    PHOTO: On average, symptoms of anxiety dropped by 16.1 percent; symptoms of depression by 24.8 percent; and symptoms of
    insomnia by 14.5 percent. (PHOTOGRAPH BY Bee Trofort for The New York Times FOR THE NEW YORK TIMES)On average,
    symptoms of anxiety dropped by 16.1 percent; symptoms of depression by 24.8 percent; and symptoms of insomnia by 14.5
    percent.Bee Trofort for The New York Times

    Copyright: COPYRIGHT 2025 The New York Times
    https://www.nytimes.com/
    Source Citation (MLA 9th Edition)

    [https://www.nytimes.com/2025/04/01/opinion/ezra-klein-podcast-jonathan-haidt.html](https://www.nytimes.com/2025/04/01/opinion/ezra-klein-podcast-jonathan-haidt.html)

    [https://ballotpedia.org/State_policies_on_cellphone_use_in_K-12_public_schools](https://ballotpedia.org/State_policies_on_cellphone_use_in_K-12_public_schools)

    [https://ballotpedia.org/State_policies_on_cellphone_use_in_K-12_public_schools](https://ballotpedia.org/State_policies_on_cellphone_use_in_K-12_public_schools)

    [https://www.nytimes.com/2024/06/19/health/social-media-kids-mental-health.html](https://www.nytimes.com/2024/06/19/health/social-media-kids-mental-health.html)

    [https://www.christopherjferguson.com/Social%20Media%20Experiments%20Meta.pdf](https://www.christopherjferguson.com/Social%20Media%20Experiments%20Meta.pdf)

    [https://pdf.sciencedirectassets.com/777253/1-s2.0-S2666560324X00031/1-s2.0-S2666560325000714/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEGMaCXVzLWVhc3QtMSJHMEUCIF0v81iqVacaksH6M%2FTQsNhuUp3CB2OiC1b5gB2XZGPgAiEAra5yYXrl9Rn5bjeY8ISgBHLPIMncPKx%2Bho%2B9oCZNe%2B4qswUILBAFGgwwNTkwMDM1NDY4NjUiDJXkoo%2FCIMtghnmGASqQBcePih9so8lsgpyTn6IixH4fKFdtcrPeJqNfgovNDy%2B81H%2BARVJtyYTr4v%2FJFTGsugb%2FuNPHNalu%2BCyDJYjFDyNkm1ZZjb1zB1RpS%2FcM1GZrnBYt5%2F2XnsuH8hk14CmkRhxf0moCtLUTi8txSTia%2FD8XSGsvkDUCAaMCqmiZ4log8PJm6CJnFzqWn15kc3lbHX6DoE8WPXtAVsxHtD0LjJYaSMKqEf8YYZ%2BvQHRQo3aDhxo5NfErpumDlQobmIcA1%2F9Tnc6hT6uxapfhx7wXDHQFM9ZFXGRaUAT7Hyl83LgRypQoXUEB22H2D%2BGhaM78VjwpCER6ngTLU7k5syVFsbwGVl4HDWnLJ8CWQxwSdINBa20F97Nw9NTObBjYObc292pEqVjPseEfXkvWH6jMiesNajsxkVvp4VzVTReOqVbOIYdr1EQi%2FH%2FDJM5VVTAC4HpAsHcQ22gYX5CbNLNxbv%2FAUMqI52OjF%2FQ3N1%2B2dJpT3%2F0cEvqNV95ambnzRQ%2BkPE7SY7L5ppXIMC%2FjxTlZqzPr5gDKg%2FSIQUcKbRtybOpliel1v5TJcEo1Qnel2d10QvJkVIkfTDke5KEvz8i6Rz%2BVgK72DPj6m%2FYg0kgm7lSfGMS9n4ZpQQpRkCwL9NMomQ6FcUljsc5iGz4viIutsqJ4xPNf8rqYvv01U5Q7q7kBtceyypPSOVKLSjGGXFKL65Vv1KAU%2FE%2Fh%2Fg81dpiU7YnhLcl2gpGZja3Yr1lz48GQghj28FBSwinGTaI9BIuPjjaSgBl9BxGLxVGNsr%2F54S%2B%2FUA60TAnyVzp6eHTuU%2FERWcAHXD6legbt35l12xK6R%2BHGCPjuuXUmfRqe4ZMD9EbkUsmvx%2Biw%2B5MSLpCGKJ8nMLCDiMkGOrEBRlugUaytcH3oi9FUeq5U7iWiiKt479qrm5zCXJQokT6XgHz2mUwOKejEMYHzCAU3KxOYpP8AljUbnEMeOUDIVWgxRqismjHafEn64KRCe%2BDbsDb7hTVF8LYWOo%2FFcBfZ4R4VsZdRcXoZkcVPMb9JpVP33epA9gUpAxXlUdO8YQ2oontdKx94xEjfDbuDVam8MvT2sF87LWgkeaXAN%2FSe257WuR5S3%2B32xBCXS14pNmd%2F&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20251122T190035Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTY46JSLDRN%2F20251122%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=58bd1c870db4f3f937242a461186f6541315e6b24ceec6beef37b108be8a7f3d&hash=9c60e4f6c07eff3e53e58265e9e266df36824712654acb6bc18d1459bc639803&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S2666560325000714&tid=spdf-bc8b714c-f75b-4f31-932e-78c80035a77e&sid=f4ef5a065a89334e221911b9097f96b2f343gxrqa&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=1315560254010402050e&rr=9a2aabaa3bfc303a&cc=us](https://pdf.sciencedirectassets.com/777253/1-s2.0-S2666560324X00031/1-s2.0-S2666560325000714/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEGMaCXVzLWVhc3QtMSJHMEUCIF0v81iqVacaksH6M%2FTQsNhuUp3CB2OiC1b5gB2XZGPgAiEAra5yYXrl9Rn5bjeY8ISgBHLPIMncPKx%2Bho%2B9oCZNe%2B4qswUILBAFGgwwNTkwMDM1NDY4NjUiDJXkoo%2FCIMtghnmGASqQBcePih9so8lsgpyTn6IixH4fKFdtcrPeJqNfgovNDy%2B81H%2BARVJtyYTr4v%2FJFTGsugb%2FuNPHNalu%2BCyDJYjFDyNkm1ZZjb1zB1RpS%2FcM1GZrnBYt5%2F2XnsuH8hk14CmkRhxf0moCtLUTi8txSTia%2FD8XSGsvkDUCAaMCqmiZ4log8PJm6CJnFzqWn15kc3lbHX6DoE8WPXtAVsxHtD0LjJYaSMKqEf8YYZ%2BvQHRQo3aDhxo5NfErpumDlQobmIcA1%2F9Tnc6hT6uxapfhx7wXDHQFM9ZFXGRaUAT7Hyl83LgRypQoXUEB22H2D%2BGhaM78VjwpCER6ngTLU7k5syVFsbwGVl4HDWnLJ8CWQxwSdINBa20F97Nw9NTObBjYObc292pEqVjPseEfXkvWH6jMiesNajsxkVvp4VzVTReOqVbOIYdr1EQi%2FH%2FDJM5VVTAC4HpAsHcQ22gYX5CbNLNxbv%2FAUMqI52OjF%2FQ3N1%2B2dJpT3%2F0cEvqNV95ambnzRQ%2BkPE7SY7L5ppXIMC%2FjxTlZqzPr5gDKg%2FSIQUcKbRtybOpliel1v5TJcEo1Qnel2d10QvJkVIkfTDke5KEvz8i6Rz%2BVgK72DPj6m%2FYg0kgm7lSfGMS9n4ZpQQpRkCwL9NMomQ6FcUljsc5iGz4viIutsqJ4xPNf8rqYvv01U5Q7q7kBtceyypPSOVKLSjGGXFKL65Vv1KAU%2FE%2Fh%2Fg81dpiU7YnhLcl2gpGZja3Yr1lz48GQghj28FBSwinGTaI9BIuPjjaSgBl9BxGLxVGNsr%2F54S%2B%2FUA60TAnyVzp6eHTuU%2FERWcAHXD6legbt35l12xK6R%2BHGCPjuuXUmfRqe4ZMD9EbkUsmvx%2Biw%2B5MSLpCGKJ8nMLCDiMkGOrEBRlugUaytcH3oi9FUeq5U7iWiiKt479qrm5zCXJQokT6XgHz2mUwOKejEMYHzCAU3KxOYpP8AljUbnEMeOUDIVWgxRqismjHafEn64KRCe%2BDbsDb7hTVF8LYWOo%2FFcBfZ4R4VsZdRcXoZkcVPMb9JpVP33epA9gUpAxXlUdO8YQ2oontdKx94xEjfDbuDVam8MvT2sF87LWgkeaXAN%2FSe257WuR5S3%2B32xBCXS14pNmd%2F&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20251122T190035Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTY46JSLDRN%2F20251122%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=58bd1c870db4f3f937242a461186f6541315e6b24ceec6beef37b108be8a7f3d&hash=9c60e4f6c07eff3e53e58265e9e266df36824712654acb6bc18d1459bc639803&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S2666560325000714&tid=spdf-bc8b714c-f75b-4f31-932e-78c80035a77e&sid=f4ef5a065a89334e221911b9097f96b2f343gxrqa&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=1315560254010402050e&rr=9a2aabaa3bfc303a&cc=us)

    [https://www-sciencedirect-com.proxy055.nclive.org/science/article/pii/S2666560325000714](https://www-sciencedirect-com.proxy055.nclive.org/science/article/pii/S2666560325000714)

    [https://static01.nyt.com/images/2025/11/24/multimedia/24hs-social-detox-cbkm/24hs-social-detox-cbkm-articleLarge.jpg](https://static01.nyt.com/images/2025/11/24/multimedia/24hs-social-detox-cbkm/24hs-social-detox-cbkm-articleLarge.jpg)

    [https://static01.nyt.com/images/2025/11/24/multimedia/24hs-social-detox-cbkm/24hs-social-detox-cbkm-articleLarge.jpg](https://static01.nyt.com/images/2025/11/24/multimedia/24hs-social-detox-cbkm/24hs-social-detox-cbkm-articleLarge.jpg)

    [https://www.nytimes.com/](https://www.nytimes.com/)

    Barry, Ellen. "Study Finds Mental Health Benefit to One-Week Social Media Break." New York Times [Digital Edition], 24 Nov. 2025.
    Gale In Context: U.S. History, link.gale.com/apps/doc/A865160795/UHIC?u=durham_tccl&sid=summon&xid=3545f00b.
    Accessed 20 Jan. 2026.

    Gale Document Number: GALE|A865160795

    **## Rhetorical-Analysis-Thesis.pdf**

    Created by the Virginia Wesleyan College Learning Center
    Clarke Hall, Room 223

    Need help from a tutor? Visit http://vwc.mywconline.com

    Rhetorical Analysis Thesis Statements

    A strong thesis statement for a rhetorical analysis essay…

     Avoids using the first person or phrases like “I believe” or “I think”

     Serves as a guide to your essay for your reader

     Asserts your conclusion and takes a stand on the author’s rhetorical strategies

     States what techniques you will be analyzing, and the impact of these techniques on the
    effectiveness of the text.

    Examples of strong thesis statements for rhetorical analysis:

     Jones effectively convinces his audience that —- through the use of statistics and surveys paired
    with emotional stories.

     Although Myers includes many convincing logical arguments through the use of historical facts,
    her readers may doubt her objectivity because of her sarcastic tone.

     Thompson uses personal stories and tells of his extensive research in the area to make his
    readers believe in his credibility. These appeals to ethos, combined with his friendly tone,
    creates an effective argument for —-.

     Roberts employs the rhetorical appeals of pathos and ethos effectively. However, his use of
    unsupported logical appeals causes his readers to doubt his claim that —- is supported by
    research.

     Mitchell’s attempt to convince the audience that —– is unsuccessful because of his insensitive
    word choice and angry tone.

    Note: The above thesis statements all include the original author’s purpose/thesis. Your thesis does not

    have to include this as long as it appears in your introduction.

    A strong thesis statement for a rhetorical analysis is NOT…

     A simple statement of your topic

     A broad statement

     A statement of facts or statistics

     A summary of the author’s essay you are analyzing

     A statement of what you’re going to do in the essay

    Examples of weak rhetorical analysis thesis statements:

     Abortion is a big issue in the United States.

     The author claims abortion is a big issue in the United States.

     I’m going to examine how this author uses pathos, ethos, and logos to convince his audience.

     The author uses pathos, ethos and logos.

    **## Brandeupdate.docx**

    Part I

    SUBMIT: SUMMARY (with Work Cited page) of "Your Children's Smartphones Aren't Making Them Smarter"

    ·
    **Available** Feb 2 at 6am – Feb 7 at 11:59pm

    **AI warning:**
    **Please do not use AI to to compose the summary. You should create your own summary of the article and the wording should be yours and yours only. If you take any information word for word from the article, you must place that information in quotation marks.  However, in a summary, it is best not to use quoted material, if possible. Use of AI means a failing grade- see course policy.  Thank you.**

    · Using the plan of the paragraph that you outlined last week, create a draft of a summary paragraph. Edit, proofread, and fine tune the draft and then submit your
    **final MLA formatted summary** of "Your Children's Smartphones Aren't Making Them Smarter".

    · Your summary should include an MLA style header, heading, and the centered title:

    · Summary of  "Your Children's Smartphones Aren't Making Them Smarter"

    · For the summary submission, use the title that I have provided after the colon (above), and be sure that you center the title.

    · Indent the first sentence (tab once)

    · Be sure that your topic sentence includes at the very least th
    **e author's full name**,
    **title of the article**, and the
    **main idea.** Use the completed template from last week's assignment for the topic sentence.

    · Be sure that you have at least 3-4 major supporting points for the main idea.

    · Connect your summary major points with transition words (see document posted or your text for a list)

    · You will add a
    **Work Cited page in MLA format for this assignment.**  You may copy and paste the source information below on your Work Cited page.
    Please see the sample MLA formatted essay posted.

    "Your Children's Smartphones Aren't Making Them Smarter."
    _CNN Wire_, 2 Sept. 2024.
    _Gale In Context:_

    _College_, link.gale.com/apps/doc/A806893299/CSIC?u=durham_tccl&sid=summon&xid=e814ac0d

    **Part 2**

    Thesis Statement Submission Assignment

    Article Choices for Essay 1

    Article Choices

    These are the three articles from which you will choose ONE to read and analyze for your first essay.

    ["Study Finds Mental Health Benefit to One-Week Social Media Break"](https://durhamtech.instructure.com/courses/17136/files/2404365?wrap=1) [Download "Study Finds Mental Health Benefit to One-Week Social Media Break"](https://durhamtech.instructure.com/courses/17136/files/2404365/download?download_frd=1)

    ["Who Really Benefits from AI?"](https://durhamtech.instructure.com/courses/17136/files/2404368?wrap=1) [Download "Who Really Benefits from AI?"](https://durhamtech.instructure.com/courses/17136/files/2404368/download?download_frd=1)

    ["Why Aren't We Losing Our Minds Over the Plastic in Our Brains?"Links to an external site.](https://www.scientificamerican.com/article/why-arent-we-losing-our-minds-over-the-plastic-in-our-brains/)

    For this assignment, you will want to write up your actual thesis statement for Essay #1. Remember:

    1. Your thesis should be one sentence.

    2. Your thesis is your claim about the author's use of rhetoric.

    3. Your thesis needs to contain an argument.

    4. Your thesis is not a statement of summary about the author's main point.

    5. Use the PDF attached below for guidance.

    **## Study_Finds_Mental_Health_Bene.pdf**

    Disclaimer: This is a machine generated PDF of selected content from our products. This functionality is provided solely for your
    convenience and is in no way intended to replace original scanned PDF. Neither Cengage Learning nor its licensors make any
    representations or warranties with respect to the machine generated PDF. The PDF is automatically generated "AS IS" and "AS
    AVAILABLE" and are not retained in our systems. CENGAGE LEARNING AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY
    AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY,
    ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGEMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR
    PURPOSE. Your use of the machine generated PDF is subject to all use restrictions contained in The Cengage Learning
    Subscription and License Agreement and/or the Gale In Context: U.S. History Terms and Conditions and by using the machine
    generated PDF functionality you agree to forgo any and all claims against Cengage Learning or its licensors for your use of the
    machine generated PDF functionality and any output derived therefrom.

    Study Finds Mental Health Benefit to One-Week Social Media
    Break.
    Author: Ellen Barry
    Date: Nov. 24, 2025
    From: The New York Times (Digital Edition)
    Publisher: The New York Times Company
    Document Type: Article
    Length: 1,383 words
    Content Level: 3
    Lexile Measure: 900L

    Full Text:
    Young adults who engaged in a social media “detox” reported reductions in depression, anxiety and insomnia, though it was unclear
    how long the effects would last.

    Dialing down the use of social media for a week reduced symptoms of anxiety, depression and insomnia in young adults, according
    to a study published on Monday in the journal JAMA Network Open.

    Researchers followed 295 volunteers, ages 18 to 24, who opted to take a break from social media. Instructed to stay off social media
    as much as possible, the group on average reduced it to a half-hour per day from just under two hours. Before and after, the
    participants answered surveys measuring depression, anxiety, insomnia, loneliness and a number of problematic social media
    behaviors.

    Overall, they reported positive changes: On average, symptoms of anxiety dropped by 16.1 percent; symptoms of depression by 24.8
    percent; and symptoms of insomnia by 14.5 percent. The improvement was most pronounced in subjects with more severe
    depression. At the same time, there was no change in reported loneliness — perhaps, the authors wrote, because the platforms play
    a constructive social role.

    Dr. John Torous, an associate professor of psychiatry at Harvard Medical School and a co-author of the study, said reducing social
    media “certainly would not be your first-line or your only form of care,” but the study showed it could be useful as an adjunct
    treatment.

    “If you’re struggling with a mental health condition, and you have treatment already,” he said, “it’s likely worth experimenting to see
    whether reducing social media helps you feel better.”

    Dr. Torous urged caution in interpreting the results as treatment advice. The subjects had volunteered for the detox, and they had
    minimal mental health symptoms to begin with, so the magnitude of the improvement was not drastic. Also, there was, he said,
    “tremendous heterogeneity in the differences in how people responded,” and not everyone benefited.

    “The averages are encouraging,” he said, “but they definitely don’t tell the full story, the variance was just so tremendous.”

    Dr. Torous, who heads a digital mental health clinic at Beth Israel Deaconess Medical Center in Boston, said he became curious
    about the effects of reduced social media use because many of his college-aged patients reported benefiting from social media
    breaks.

    When he sought out research literature on the subject, he found that it was “confusing” and “mixed.” His team decided to begin a
    study using “digital phenotyping,” a method that collects real-time information about subjects’ behavior from their devices.

    He said young people eagerly came forward to volunteer for the study, which paid $150. “People are naturally interested, which I
    think is a good sign,” he said. Participants were asked to stop using Facebook and X, which they mostly did successfully, he said,
    and also Instagram, TikTok and Snapchat, which proved more difficult.

    The mental health benefit seemed to come from avoiding problematic social media behaviors, like addictive use and negative social
    comparison, rather than a change in overall screen time, the authors said. Indeed, the participants, on average, spent slightly more
    time on their phones during the detox week.

    [https://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2025.45245?guestAccessKey=1b34668e-afe8-4888-aa3d-dd05b3b83eff&utm_source=for_the_media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=112425](https://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2025.45245?guestAccessKey=1b34668e-afe8-4888-aa3d-dd05b3b83eff&utm_source=for_the_media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=112425)

    The findings land in the midst of an intense academic debate over whether excessive screen time causes mental health problems.

    One group of psychologists, including the social psychologist Jonathan Haidt, have identified the smartphone as the cause of
    deteriorating mental health among young people, and many communities have already taken steps to limit social media use or screen
    time, especially during school hours.

    At the same time, many specialists have urged caution about concluding that screen time is a central factor in declining mental
    health, saying that studies have yielded mixed results and that what seems to matter is what young people do online, not how much
    time they spend there.

    Several psychologists said the new study was of limited value because its design allowed for bias.

    It was not a randomized controlled trial, in which subjects were assigned to a treatment group (one that reduced social media use)
    and a control group (one that continued their usual social media habits). Instead, the participants opted to take a break from social
    media — and may have anticipated improvement.

    “The subjects would have known how they were expected to behave, and likely simply changed their responses accordingly,” said
    Christopher Ferguson, a professor of psychology at Stetson University, who was not involved in the study. Without comparison to a
    control group, he added, “these numbers are literally meaningless.”

    In a period of “technology moral panic,” he said, studies that find an effect receive far more attention than those that do not,
    something that he said could “distort public perceptions.”

    Candice L. Odgers, a professor of psychological science in informatics at the University of California, who was not involved in the
    study, said it was hardly surprising that “if we constantly tell people social media is bad for them and that taking a break is good, and
    then ask them to take a break and report how they feel after, this is what we see.”

    But others were cautiously optimistic about the results. Mitch Prinstein, chief science officer at the American Psychological
    Association, who was not involved in the study, said the findings added to existing evidence that, on average, “depression, anxiety,
    loneliness often go down” for those who go off social media for a while.

    Social media breaks are “a simple and free solution that seems to lead to quick improvement,” unlike psychotherapy, which can take
    weeks to have an effect, Dr. Prinstein said. “This is a solution that will empower most parents and young people themselves,” he said.
    “Use far less social media, and there is a reasonable chance that young people will start to feel a lot better.”

    Still, prior studies seeking to quantify the effects of “digital detoxes” have yielded mixed results. Dr. Ferguson last year published a
    meta-analysis of 27 experiments linking social media breaks to mental health, concluding that the average effect was “statistically no
    different than zero.” A review of 10 studies published in March in Scientific Reports also found no effects.

    Another meta-analysis examining 32 such experiments, published this year in the journal SSM-Mental Health, found that social media
    restriction “yields significant but small positive effects on subjective well-being.”

    Dr. Torous attributed the variation to the low quality of the existing research studies. He said he hoped further research would allow
    clinicians to tailor social media breaks to individuals who will benefit from them. He was not enthusiastic about banning social media
    use altogether, saying that it “could cause unintended consequences.”

    “It’s certainly possible to ban it, but that’s a very blunt, crude approach, at least for mental health,” he said.

    Academics who have called for strict limits on social media use greeted the new study as evidence that swift action is necessary.
    Jean Twenge, a professor of psychology at San Diego State University, who was not involved in the new study, described it as “the
    latest to show that cutting back on social media use can have mental health benefits.”

    Because improvements were most notable in people who were already depressed, she said, the finding “suggests that cutting back
    on social media for a week or two may be an effective treatment for people struggling with depression.”

    Dr. Twenge, the author of “10 Rules for Raising Kids in a High-Tech World,” said the study helped discount the longstanding
    argument that people experiencing mental health struggles simply use social media more.

    She noted, however, that more research was necessary to shed light on whether the effects were long-lasting. “The key would be to
    see how long people can keep up light use of social media,” she said. “If they slide back into old habits, the detox won’t have long-
    lasting effects. “

    PHOTO: On average, symptoms of anxiety dropped by 16.1 percent; symptoms of depression by 24.8 percent; and symptoms of
    insomnia by 14.5 percent. (PHOTOGRAPH BY Bee Trofort for The New York Times FOR THE NEW YORK TIMES)On average,
    symptoms of anxiety dropped by 16.1 percent; symptoms of depression by 24.8 percent; and symptoms of insomnia by 14.5
    percent.Bee Trofort for The New York Times

    Copyright: COPYRIGHT 2025 The New York Times
    https://www.nytimes.com/
    Source Citation (MLA 9th Edition)

    [https://www.nytimes.com/2025/04/01/opinion/ezra-klein-podcast-jonathan-haidt.html](https://www.nytimes.com/2025/04/01/opinion/ezra-klein-podcast-jonathan-haidt.html)

    [https://ballotpedia.org/State_policies_on_cellphone_use_in_K-12_public_schools](https://ballotpedia.org/State_policies_on_cellphone_use_in_K-12_public_schools)

    [https://ballotpedia.org/State_policies_on_cellphone_use_in_K-12_public_schools](https://ballotpedia.org/State_policies_on_cellphone_use_in_K-12_public_schools)

    [https://www.nytimes.com/2024/06/19/health/social-media-kids-mental-health.html](https://www.nytimes.com/2024/06/19/health/social-media-kids-mental-health.html)

    [https://www.christopherjferguson.com/Social%20Media%20Experiments%20Meta.pdf](https://www.christopherjferguson.com/Social%20Media%20Experiments%20Meta.pdf)

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    [https://www-sciencedirect-com.proxy055.nclive.org/science/article/pii/S2666560325000714](https://www-sciencedirect-com.proxy055.nclive.org/science/article/pii/S2666560325000714)

    [https://static01.nyt.com/images/2025/11/24/multimedia/24hs-social-detox-cbkm/24hs-social-detox-cbkm-articleLarge.jpg](https://static01.nyt.com/images/2025/11/24/multimedia/24hs-social-detox-cbkm/24hs-social-detox-cbkm-articleLarge.jpg)

    [https://static01.nyt.com/images/2025/11/24/multimedia/24hs-social-detox-cbkm/24hs-social-detox-cbkm-articleLarge.jpg](https://static01.nyt.com/images/2025/11/24/multimedia/24hs-social-detox-cbkm/24hs-social-detox-cbkm-articleLarge.jpg)

    [https://www.nytimes.com/](https://www.nytimes.com/)

    Barry, Ellen. "Study Finds Mental Health Benefit to One-Week Social Media Break." New York Times [Digital Edition], 24 Nov. 2025.
    Gale In Context: U.S. History, link.gale.com/apps/doc/A865160795/UHIC?u=durham_tccl&sid=summon&xid=3545f00b.
    Accessed 20 Jan. 2026.

    Gale Document Number: GALE|A865160795