Pa652 Unit 7 Application And Integration #4

Assignment Information The purpose of these assignments is to get you actively engaged in the content, with hands-on experience working with data and data visualizations. These assignments will include utilizing R and R Studio to visualize data and run stats. It will also help prepare you for the lab experiences, so please consider reviewing and attempting this assignment prior to live class/lab. You are encouraged to work together on these assignments but you are required to submit work that represents your unique, individual work and contributions. Any work that is exactly the same as a peers is unacceptable and will result in a zero. The value in working with others is to hear alternative explanations or understanding. Moving through difficulties together. We are a team, work together but be sure you are turning in work that represents your own work and work product. Application and Integration 4 Instructions Please complete the following and turn in both the .R script and the worksheet to this submission. 1. Read the following article: • Griffith AK, Bedard KE, Eaton A, Ackerlund Brandt JA, Jha P. Effects of the COVID-19 Pandemic on Parental Burnout and Parenting Practices: Analyses Using a Retrospective Pretest. Chronic Stress. 2022;6. Answer the following questions using this document Download this document and submit with your complete answers in the space provided in the document. 1. What is the research question. 2. Identify the IVs and DVs. 3. How do the researchers attempt to answer this question? DO NOT state the statistical analyses that were done, explain what specific comparisons were made, and why these comparisons were made (i.e. how this relates to the overall research question). Write this out in a way that someone unfamiliar with the study could comprehend. 4. What is a t-test? Differentiate between paired and independent t-tests (both used in this paper). Why is that an appropriate method to use in this study? Indicate why each type of t-test was used for the groups they were used to compare. 5. Reflect on the statement made in the paper: • “To control for the number of t-tests that were conducted, the Bonferroni correction method was used to adjust the alpha values (adjusted alpha = .006).” • What is a Bonferroni correction and why is it necessary? Your answer should include the logic behind this and an explanation of Type I error. Assignment Guidelines For credit for this assignment you need to: In R, create a .R script that has: • the appropriate header • is appropriately commented throughout • In this script, include all the code that is presented in this section of the book. • Please watch the Code with Me video for additional support and information. The submission for this assignment will be a .R file and will be graded using the following rubric.