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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 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?
The independent variable is COUNTRY (Industrial and Non-Industrial).
The dependent variables are Cognitive (COG), Affective (AFFECT) and Behavioral (BEHAVE).
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What have you found about whether the data meet these additional assumptions for the MANOVA and follow up ANOVAs?
Be sure to read the instructions very carefully in the textbook for what to check to get these results for these tests of assumptions (e.g., you have to check Residual SSCP matrix within Options to get the results of the Bartlett’s Test of Sphericity).
Be sure to review what a statistically significant outcome means for each test: in some cases, it means a violation, but in others it means an assumption is met.
SPSS Output for above question is given below:

Box’s test of Equality of Covariance Matrices P-value=0.388 is not significant. There is no violation of assumptions. The observed covariance matrices of the dependent variables are equal across groups. Bartlett’s Test of Sphericity p-value = 0.000 is significant. It means that the residual covariance matrix is not proportional to an identity matrix. There is a violation of the assumption. Levene’s Test of equality of variances are not significant for Cognitive and Affective but it is significant for Behavioral variable because p-value is smaller than 0.05 for this group. We can conclude that the error variance of the dependent variable is not equal across groups for Behavioral group. The "multivariate tests"