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 andPrivate Mental Health AgenciesGrand Canyon UniversityAssignmentGAF, Consumer Satisfaction, and Type of Clinical Agency (Public or Private)Aresearcher wants to know if mental health clients of private versus public service agenciesdiffer 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 apublic agency.Directions:Use the SPSS data file forModule 3(locatedin Topic Materials) to answer the followingquestions:1.What isthe independent variablein this study?What are the dependent variables?Solution:Theindependent variable in the study is the GAF (Global Assessment of Functioning)andsatisfaction level with the services named as Satisfaction. There is also a dummy variablewhich is of value 2 for public and 1 for private.2.The first step for the researcher will be to clean and screenthe data.Please do this fortheresearcher and report your findings.Be sure to check it for possible coding errors, as well ascomplete the screening of the data to see if the data meet assumptions for parametric tests.Didyou find any errors that the researcher made when setting up the SPSS data file (check thevariable 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 changedto ordinal. Data doesn’t meet the requirements of parametric test as the parameters have toomany missing values. For correcting definition of the variables the data can be selected from thepanel and from the drop box menu required value can be selected.

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© 2012. Grand Canyon University. All Rights Reserved.3.Were there missingvalues on any of the variables?If so, what might you do for thosefor theindependent variable?What about those for each of the dependent variables?Explain yourreasoning.Solution:Yes, there are missing values. Yes there are missing values for independent anddependent values as well. There are 9 values missing in 82 entries ofindependentvariable GAFwhich is 10.9%. There are 11 missing values for independentvariable satisfactionout of 82which is 13.4%. There is one missing value for dummy variable also. The entry which hasmissing values for all the variables can be deleted. Now, we haveindependent variableGAFwith 8 missing valuesand independent variableSatisfactionwith 10 missing value.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?Solution:Yes,independent variableGAFhas a value of 201 which can be regarded as an outlier.The entries with outlier valuesfor coding errorsmust be deleted to get the accurate results.5.How might you deal with outliers thatare not due to coding errors?Explain your reasoning.Solution:Outlier without the coding error generally have a significant role in forming the resultsand thus must be left unchanged, they might vary the descriptive statistics but gives additionalinformation regarding our model.

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© 2012. Grand Canyon University. All Rights Reserved.6.Check thedescriptive statistics, histograms, stem-and-leaf plots, and the tests for normalitythat you obtained from your analyses (see box to check in "Plots" when using Explore to analyzedescriptive statistics of your data).Considering the skewness and kurtosis values, as well as theShapiro-Wilk's results (preferred for small sample sizes), did the distribution of scores on eitherof the dependent variables violate the assumption of normality?How can you tell from theinformation you obtained from your analyses?Solution:Descriptive StatisticsNRangeMinimumMaximumMeanStd.DeviationVarianceSkewnessKurtosisStatisticStatisticStatisticStatisticStatisticStd.ErrorStatisticStatisticStatisticStd.ErrorStatisticStd.ErrorGAF731851620154.582.56321.899479.5814.257.28127.455.555Satisfaction704153.01.1671.3991.956-.092.287-1.087.566Valid N(listwise)62
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