PSY 870: Module 5 Problem Set Answers

PSY 870: Module 5 Problem Set Answers

Author: hillain george

PSY 870: Module 5 Problem Set Answers


Anxiety and Country

This study examined differences in anxiety level between an industrial country and a nonindustrial country. Anxiety is assessed three ways—cognitive, affective, and behavioral—with higher scores indicating higher levels of the anxiety dimensions.


Using the SPSS data file for Module 5 (located in Topic Materials), answer the following questions. NOTE: Helpful hints are provided here for you to use while answering these questions.

1. What is the ONE independent variable in this study? What are the dependent variables?

2. Why is a one-way between-subjects MANOVA appropriate to use for this research design?


Consider the number of IVs and the number of DVs for your answer.

3. Did you find any errors that the researcher made when setting up the SPSS data file (don’t forget to check the variable view)? If so, what did you find? How did you correct it?


YES! The Measures (for scale of measurement) is wrong for each of the 4 variables! You need to indicate what was wrong and what should be the correct measures.

4. Perform Initial Data Screening. What did you find regarding missing values, univariate outliers, multivariate outliers, normality? Although you are not asked to make adjustments, what should you consider when you find these kinds of outcomes?


• For missing values, see Case Processing Summary

• Univariate outliers: inspect boxplots

• Multivariate outliers: Don’t forget to create the Case ID variable to do this analysis. Then, perform a regression analysis with CaseID as the DV and Country as the IV in order to compute the Mahalanobis distance measures. Be sure to click Save when you are setting up the regression so the regression scores will be saved to a new variable (automatically named MAH_1). Then, Explore MAH_1 scores, remembering to check the “Outliers” box that is found with Plots. This will give you information about multivariate outliers.

• Normality:

 Examine the skewness and kurtosis values for each dependent variable:§

 Examining the histograms§

 Examine the Sha

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