A One-Way Between-Subjects MANOVA Analysis of Cognitive, Affective, and Behavioral Dimensions
- Psychology
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Study using MANOVA to compare anxiety differences across countries.
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Exploring Cross - Country Differences in Anxiety: A One - Way Between - Subjects MANOVA Analysis of Cognitive, Affective, and Behavioral Dimensions 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 ) . 2. Why is a one - way between - subject MANOVA appropriate to use for this research design? HINT: Consider the number of IVs and the number of DVs for your answer. Here the number of independent variable is 1 but the numbers of dependent variables are more than 1 so when the number of dependent is more than 1, the appropriate technique is one - way between - subjects MANOVA 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? HINT: 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. All the four variables are shown as Nominal variable but in actual t he COUNTRY should be a nominal variable and Cognitive (COG), Affective (AFFECT) and Behavioral (BEHAVE) should be scale variables. The scale of these variables are changed before the analysis.
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4. Perform Initial Data Screening. What did you find regarding missing values, univariate outliers, multivariate outliers, normality? a. What should you consider when you find these kinds of outcomes? HINTS: 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 Shapiro - Wilks’ results SPSS Output is given below for above question:
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