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)