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Data Screening and Analysis of GAF Scores and Consumer Satisfaction Across Health Agencies � Grand Canyon University

Comparative analysis of GAF scores and consumer satisfaction in mental health agencies.

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    College of Doctoral Studies © 2013. Grand Canyon University. All Rights Reserved. Data Screening and Analysis of GAF Scores and Consumer Satisfaction Across Public and Private Mental Health Agencies – Grand Canyon University 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 (Satisf action). 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? Solution: The in dependent variable in the study is the GAF (Global Assessment of Functioning ) and satisfaction level with the services named as Satisfaction. There is also a dummy variable which is of value 2 for public and 1 for private. 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 f ile (check the variable view)? If so, what did you find? How did you correct it? Solution: The measure of a dummy variable cannot be as scale, so the category must be changed to ordinal. Data doesn’t meet the requirements of parametric test as the parameters have too many missing values. For correcting definition of the variables the data can be selected from the panel and from the drop box menu required value can be selected.

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    © 201 2 . Grand Canyon University. All Rights Reserved. 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 ea ch of the dependent variables? Explain your reasoning. Solution: Yes, there are missing values. Yes there are missing values for independent and dependent values as well. There are 9 values missing in 82 entries of in dependent variable GAF which is 10.9%. There are 11 missing values for independent variable satisfaction out of 82 which is 13.4%. There is one missing value for dummy variable also. The entry which has missing values for all the variables can be deleted. Now, we have in dependent variable GAF with 8 missing value s and independent variable Satisfaction with 10 missing value. 4. Did you find any outliers on the dependent variables tha t were due to errors of coding? If so, what and why? How would you correct an error of coding? Solution: Yes, in dependent variable GAF has a value of 201 which can be regarded as an outlier. The entries with outlier values for coding errors must be deleted to get the accurate results. 5. How might you deal with outliers that are not due to coding errors? Explain your reasoning. Solution: Outlier without the coding error generally have a significant role in forming the results and thus must be left unchanged, they might vary the descriptive statistics but gives additional information regarding our model.

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    © 201 2 . Grand Canyon University. All Rights Reserved. 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 descrip tive 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 norm ality? How can you tell from the information you obtained from your analyses? Solution: Descriptive Statistics N Range Minimum Maximum Mean Std. Deviation Variance Skewness Kurtosis Statistic Statistic Statistic Statistic Statistic Std. Error Statistic Statistic Statistic Std. Error Statistic Std. Error GAF 73 185 16 201 54.58 2.563 21.899 479.581 4.257 .281 27.455 .555 Satisfaction 70 4 1 5 3.01 .167 1.399 1.956 - .092 .287 - 1.087 .566 Valid N (listwise) 62

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