A One-Way Between-Subjects MANOVA Analysis of Cognitive, Affective, and Behavioral Dimensions

Study using MANOVA to compare anxiety differences across countries.

Benjamin Fisher
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Exploring Cross-Country Differences in Anxiety: A One-Way Between-Subjects MANOVA Analysis of Cognitive, Affective, and BehavioralDimensions1.What is the ONE independent variable in this study?What are the dependentvariables?Theindependent variable isCOUNTRY (Industrial and Non-Industrial).The dependent variables areCognitive (COG),Affective (AFFECT)andBehavioral(BEHAVE).2.Why is a one-waybetween-subjectMANOVA appropriate to use for this researchdesign?HINT:Consider the number of IVs and the number of DVs for your answer.Here the number of independent variable is 1 but thenumbers of dependent variablesaremore than 1 so when the number of dependentismore than 1, the appropriatetechnique is one-way between-subjects MANOVA3.Did you find any errors that the researcher made when setting up the SPSS data file(don’t forget to check the variableview)?If so, what did you find? How did youcorrect it?HINT:YES! The Measures (for scale of measurement) is wrong for each of the 4 variables! Youneed to indicate what was wrong and what should be the correct measures.All the four variables are shown as Nominal variable but in actual the COUNTRYshould be a nominal variable and Cognitive (COG), Affective (AFFECT) andBehavioral (BEHAVE) should bescalevariables.The scale of these variables arechanged 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.Whatshould you consider when you find these kinds of outcomes?HINTS:For missing values, see Case Processing SummaryUnivariate outliers: inspect boxplotsMultivariate 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 inorder to compute the Mahalanobis distance measures. Be sure to click Save when youare 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 multivariateoutliers.Normality:Examine the skewness and kurtosis values for each dependent variable:Examining the histogramsExamine the Shapiro-Wilks’ resultsSPSS Output is given below for above question:

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