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Instruction videos for statistical techniques

Below you will find different instructional videos on how to perform various analysis techniques in SPSS (in the future, videos about different programs such as R will be added).

 If you are unsure which analysis technique is suitable for your design, then first go to the section Choice of Analysis to help you decide which technique suits your design best. 

  • Univariate analyses (analyses with only one variable)
            One-sample t-test for a mean
            One-sample z-test for a proportion
            Chi-square test for one categorical variable (goodness of fit)

  • Bivariate analyses (analyses with two variables)
            Independent samples t-test
            Paired samples t-test
            One-Way ANOVA
            Repeated measures ANOVA with one independent variable
            Pearson correlation
            Simple linear regression
            Spearman's Rho
            Chi-square test for independence
            Binary logistic regression with one independent variable
            Ordinal logistic regression with one independent variable
            Multinomial logistic regression with one independent variable

  • Multivariate analyses (analyses with three or more variables)
            Multiple linear regression without interaction among independent variables
            Multiple linear regression with interaction among independent variables
            Factorial ANOVA
            ANCOVA
            Repeated measures ANOVA with more than one independent variable
            Linear mixed model (Mixed ANOVA)
            Generalized mixed model
            MANOVA
            Moderation and Mediation via Process
            Binary logistic regression with more than one independent variable
            Ordinal logistic regression with more than one independent variable
            Multinomial logistic regression with more than one independent variable

  • Psychometric analyses
            Factor analysis         
            Principal Component Analysis (PCA)
            Reliability analysis (Cronbach's alpha)

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