Mathematics
PSY-845 Module 2 Problem Set

### Question Description

Details:

This problem set introduces you to an SPSS data set. You will perform some initial data screening activities and report your output.

General Requirements:

Use the following information to ensure successful completion of the assignment:

• Review "SPSS Access Instructions" for information on how to access SPSS for this assignment.
• Download “Module 2 SPSS Data File" and use it for this assignment.
• Download "Module 2 Problem Set" and use it for this assignment.

Directions:

Perform the following tasks to complete this assignment:

1. Conduct necessary analyses using SPSS so you can answer the questions listed in the exercise.
2. Submit your responses to the exercise questions as a Word document.
3. 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.)

Please complete the assignment as required and please use the appropriate references , if applicable, and cite in APA 6th edition format.

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Module 2 Problem Set- Data Evaluation in SPSS
Student’s Name
Institutional Affiliation

DATA ANALYSIS

2
Module 2 Problem Set- Data Evaluation in SPSS

The primary objective of the study was to evaluate if there are exist differences between
GAF and consumer satisfaction between public or private clinical agencies.
Q1. Identify the independent variable. Identify the dependent variable(s).
The independent variable in the study is the Agency element. On the other hand, the dependent
variables in the study are GAF and consumer satisfaction.
Q2. Are there any missing values for any of the variables? If there are, what do you
recommend doing to address this issue?
The variables in the data reveal a number of missing cases. Based on the missing cases in the
variable GAF, consumer satisfaction as well as the agency, it is recommendable to utilize
Average imputation method to address the issue of missing data in the dataset. Average
imputation method entails replacing the missing cases with an average variable for the element
mostly adopted when the sample size is small (Little, & Rubin, 2014). On the other hand, for the
cases where data are missing for an entir...

ephykam (8147)
Purdue University
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