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)