Follow the outline below for your paper; you can use the Assessment 4 Paper Template [DOCX] to help organize your writing. Page and paragraph lengths are provided to help you gauge if you’ve written enough or too much—use them as a guide to help you stay on track.
- Introduction. (1–1.5 pages.)
- Write 2–4 paragraphs summarizing the six peer-reviewed journal articles you found on your topic. Use the Bachelor’s in Psychology Library Research Guide: Finding Articles page for assistance.
- Hypothesis.
- Include both your null and alternative hypotheses that you created in a previous assessment.
- Methods. (1.5–2 pages.)
- Participants. (1 paragraph.).
- Describe the number of participants in the study.
- For this archival data project, the number of participants refers to the number of participants who responded to both of your selected variables.
- Describe the number of participants in the study.
- Measures. (1–2 paragraphs.) See your Assessment 2 and any feedback you received.
- Describe the GSS.
- Discuss its reliability and validity.
- Discuss the measurement (variable questions) you chose from your work throughout the course.
- Be sure to revise based on any faculty feedback you received.
- Describe the GSS.
- Data Analysis Approach. (1–2 paragraphs.)
- Explain the form of analysis you used to manipulate your data. Consider the following questions in your explanation.
- From the point that you had the raw data, what tests did you run?
- Why did you select that test (or those tests)?
- How did you manipulate the data (for example, cleaning the data)?
- Why did you choose to manipulate the data?
- What results did you desire?
- Note: Don’t put your actual results here (those come next), instead discuss what you expected to find.
- Explain the form of analysis you used to manipulate your data. Consider the following questions in your explanation.
- Participants. (1 paragraph.).
- Results. (1–1.5 pages.)
- Report the results of your statistical analysis. (1 paragraph.)
- Use APA style format for reporting your results.
- Reflect on whether your null hypothesis or alternative hypothesis is correct. (1–2 paragraphs.)
- Conclude if the null hypothesis or alternative hypothesis is correct.
- Explain how you reached this conclusion.
- Make a conclusion about the relationship between the variables and explain how you reached this conclusion. (1–2 paragraphs.)
- Include a chart or graph (for example, a scatterplot for correlations) to show your data.
- Report the results of your statistical analysis. (1 paragraph.)
- Discussion. (1–2 pages.)
- Discuss your results in relation to the following:
- How do your results compare to other research studies? (1–2 paragraphs.)
- How can your results be generalized? (1–2 paragraphs.)
- What were the limitations of the study? (1–2 paragraphs.)
- Is your research valid and reliable—see Lameck’s 2013 article in the General Social Survey (GSS) reading list? How would you evaluate the validity and reliability of your study? (1–2 paragraphs.)
- What might you do as a next step in research?
Step one: find six articles related to the variables wwwhr and mntlhlth
Wwwhr: hours spent on the internet per week
Mntlhlth: number of days of poor mental health in the last 30 days
Step two: analyze the data in JASP using the test you identified in assessment 3 (Pearson’s correlation)
Research question: Does an increased amount of time spent per week on the internet lead to an increased reported number of days of poor mental health over the span of one month?
Null Hypothesis: The amount of time per week spent on the internet has no effect on the amount of reported poor mental health days.
Hypothesis: the more time reported spent utilizing the internet every week shows a correlation in more reported days of poor mental health over the span of one month.
Peer-reviewed sources:
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Supports null hypothesis/ opposite of original hypothesis
Chen, Q., Zhao, Z., Bao, J., Lin, J., Li, W., & Zang, Y. (2024). Digital empowerment in mental health: A meta-analysis of internet-based interventions for enhancing mental health literacy. International journal of clinical and health psychology : IJCHP, 24(3), 100489. https://doi.org/10.1016/j.ijchp.2024.100489
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Roberti, M. (1998). Those too-much-time-online blues. InformationWeek, (699), 16. https://library.capella.edu/login?url=https://www.proquest.com/trade-journals/those-too-much-time-online-blues/docview/229061565/se-2
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Ergün, N., Özkan, Z., & Griffiths, M. D. (2023). Social media addiction and poor mental health: Examining the mediating roles of internet addiction and phubbing. Psychological Reports, , 332941231166609-332941231166609. https://doi.org/10.1177/00332941231166609
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Kim, K., Lee, H., Hong, J. P., Cho, M. J., Fava, M., Mischoulon, D., Kim, D. J., & Jeon, H. J. (2017). Poor sleep quality and suicide attempt among adults with internet addiction: A nationwide community sample of Korea. PloS one, 12(4), e0174619. https://doi.org/10.1371/journal.pone.0174619
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Shadzi, M. R., Salehi, A., & Vardanjani, H. M. (2020). Problematic Internet Use, Mental Health, and Sleep Quality among Medical Students: A Path-Analytic Model. Indian journal of psychological medicine, 42(2), 128–135. https://doi.org/10.4103/IJPSYM.IJPSYM_238_19
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Kim, Y. J., Jang, H. M., Lee, Y., Lee, D., & Kim, D. J. (2018). Effects of Internet and Smartphone Addictions on Depression and Anxiety Based on Propensity Score Matching Analysis. International journal of environmental research and public health, 15(5), 859. https://doi.org/10.3390/ijerph15050859
6. Hossin, M. Z., Islam, A., Billah, M., Haque, M., & Uddin, J. (2022). Is there a gradient in the association between internet addiction and health?. PloS one, 17(3), e0264716. https://doi.org/10.1371/journal.pone.0264716