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This week is dedicated exclusively to engaging in two research projects that willenable you to apply the various concepts you learned primarily from the previous

This week is dedicated exclusively to engaging in two research projects that willenable you to apply the various concepts you learned primarily from the previous 4 weeks,butalsothroughout theentirecoursethus far:

  • The first project (Project 1) uses the same dataset from Research Project 1(Week 4), which contains actual research data collected from a random sample ofN= 340 certified flight instructors (CFIs). This dataset is given as the Excel file"Project 1 Data."
  • The second project(Project 2) uses a subset of the same dataset and but focuseson CFIs' experience as a flight instructor. The dataset for the second project isgiven in the Excel file "Project 2 Data" and consists of two sets of complacencyscores. The first set of scores wascollectedfrom a groupof first-?year CFIs. The second set of scores was collected from the same group of CFIs 10years later to see if their tendency toward complacency as a flight instructorchangedasaresult oftheexperiencetheygainedoverthe past10 years.

Both projects have their own set of questions for you to complete. As a reminder, the initialdata set consists of the following 10 independent variables (IVs) and one dependentvariable (DV):

X1=Participants'gender

X2 = Participants' age in yearsX3 =Participants' race/ethnicityX4=Participants'maritalstatus

X5=Participants' highest level of education

X6=Totalyears participants haveheld a CFIcertificate

X7=Participants'total hoursdualgiven

X8=Participants'totalhoursdualgiveninprevious90days

X9=Participants'totalflighttime(inhours)

X10=Typesofcertificatesparticipantscurrenthold

Y= Complacency scores, which weremeasured on a 7-?item Likert scale ranging from 1 = Strongly Disagree to 5 = Strongly Agree. Thus, scores could rangefrom 7 to 35, with higher scores indicating a greater likelihood towardcomplacencyasaflight instructor.

image text in transcribedimage text in transcribed
Project 2 1. What is the intervention and why is this considered a repeated measures design? 2. What is the overall RQ? 3. What research methodology do you think is appropriate for this study? Explain. 4. Summarize the descriptive statistics for this study using the following APA compliant table. (Round to two decimal places.) Group N M SD Range (L-H) Pre-Assessment Post-Assessment Overall 5. Perform an a priori power analysis to determine the minimum sample size needed. Is the given data set sufficient relative to this minimum sample size? In what way do you think the size of the given sample will impact the results? 6. Conduct a corresponding hypothesis test as follows: a. Formulate the null and alternative hypotheses in symbols and words. b. Determine the test criteria. c. Test for the assumptions of the repeated measures t test. d. Run the analysis and record the results. e. Make a decision to reject or fail to reject the null hypothesis and write a concluding statement. 7. Determine and interpret the estimated effect size, d. S. Determine and interpret the power of the study. 9. Determine and interpret the 95% confidence interval. 10. Present at least three plausible explanations for the results. 11. Conduct an outlier analysis on the difference scores using Jackknife distances, eliminate the outliers (there should be seven outliers), and rerun the analysis. Do you get the same (or similar) results? For your final report, would you keep or delete the outliers? Why/Why not?Project 1 Questions 1. Create a new categorical variable, Yil, which represents the partitioning of X6 into two groups: Group 1 = CFIs who have held a CFI certificate for less than 20 years and Group 2 = CFIs who have held a CFI certificate for 20 years or more. 2. What is the overall RQ? 3. What research methodology do you think is appropriate for this study? Explain. 4. Summarize the descriptive statistics for Complacency scores using the following APA compliant table. (Round to two decimal places.) Group N M SD Range (L-H) Less than 20 years 20 or more years Overall 5. Perform an a priori power analysis to determine the minimum sample size needed. Is the given data set sufficient relative to this minimum sample size? In what way do you think the size of the given sample will impact the results? 6. Conduct a corresponding hypothesis test as follows: a. Formulate the null and alternative hypotheses in symbols and words. b. Determine the test criteria c. Test for the assumptions of independent samples { test and indicate if you will use the pooled variance t, separate variances t, or Welch's t, and why. d. Run the analysis and record the results. e. Make a decision to reject or fail to reject the null hypothesis and write a concluding statement. 7. Determine and interpret the estimated effect size, d. 8. Determine and interpret the power of the study. 9. Determine and interpret the 95% confidence interval. 10. Present at least three plausible explanations for the results

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