# 2 × 3 Between-Subjects Factorial ANOVA: Study Environments by Gender

Jul 19th, 2016
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SPSS data analysis

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Question oneIndependent VariablesI.II.SexStudy EnvironmentDependent VariableGPA ImprovementQuestion twoFactorial MANOVA is appropriate in this design because this able to detect the differences indata sets in the case where such variations exist which is not possible in ANOVA. It alsoprovides a way to control inflated type 1 errors.Question threeYes. In the SPSS data file, the data measurements for Sex was recorded as Scale while it oughtto be Nominal. I changed it to Nominal ScaleQuestion fourSkewness: 0.652This is a positive value which shows a greater number of smaller values on deviance fromsymmetry around the mean.Kurtosis: -0.63This is a negative value indicating the distribution is more peaked than normal.Question fivea.Levenes testSignificant Result p =0.032,This is less than 0.05 (0.032< 0.05), this shows that the error variance of the dependentvariable is not equal across the groups. The assumption of the ANOVA has not been met.Test between-subjectsThe sig column for Sex and envir*sex are significant since sig is less than 0.05 (<0.05), butthere is no effect on Sex (>0.05) However, this does not tell us which environment affects GPAi

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