Perform the following tasks to complete this assignment:
Conduct necessary analyses using SPSS so you can answer the questions listed in the exercise.
Submit your responses to the exercise questions as a Word document.
Submit the SPSS Output files showing the analyses you performed in SPSS to compute the answers for related questions. NOTE: You will need to copy the SPSS file to a Word doc for submission.
Perform the following tasks to complete this assignment:
GAF, Consumer Satisfaction, and Type of Clinical Agency (Public or Private)
A researcher wants to know if mental health clients of private versus public service agencies differ on Global Assessment of Functioning (GAF) scores and on Satisfaction with Services (Satisfaction). She has collected data for 34 clients from a private agency and for 47 clients of a public agency.
Directions:
Use the SPSS data file for Module 3 (located in Topic Materials) to answer the following questions:
1. What is the independent variable in this study? What are the dependent variables?
2. The first step for the researcher will be to clean and screen the data. Please do this for the researcher and report your findings. Be sure to check it for possible coding errors, as well as complete the screening of the data to see if the data meet assumptions for parametric tests. Did you find any errors that the researcher made when setting up the SPSS data file (check the variable view)? If so, what did you find? How did you correct it?
3. Were there missing values on any of the variables? If so, what might you do for those for the independent variable? What about those for each of the dependent variables? Explain your reasoning.
4. Did you find any outliers on the dependent variables that were due to errors of coding? If so, what and why? How would you correct an error of coding?3
5. How might you deal with outliers that are not due to coding errors? Explain your reasoning.
6. Check the descriptive statistics, histograms, stem-and-leaf plots, and the tests for normality that you obtained from your analyses (see box to check in "Plots" when using Explore to analyze descriptive statistics of your data). Considering the skewness and kurtosis values, as well as the Shapiro-Wilk's results (preferred for small sample sizes), did the distribution of scores on either of the dependent variables violate the assumption of normality? How can you tell from the information you obtained from your analyses?
7. If in #6, you identified any distributions that violate the assumption of normality, what are some options you might use to try to correct the distribution to get closer to normality? (You do not need to do these steps. Just describe them.)
8. Write a sample result section, discussing your data screening activity.