Free tool
Which statistical test should I use?
Answer a few questions about your hypothesis and your data, and get the test that fits, with a guide on how to run and report it.
The test for you
Not sure you chose right?
Get a quote
Send your hypotheses and a description of your data, and a statistician will tell you which analysis fits and how to report it.
All tests at a glance
| Test | When to use it |
|---|---|
| Independent-samples t-test Independent, Paired or One-Sample t-Test: Which One Fits Your Paper | Comparing the mean of a continuous variable between two separate groups, e.g. men and women. |
| Paired-samples t-test Independent, Paired or One-Sample t-Test: Which One Fits Your Paper | Comparing the mean of the same participants at two measurements, e.g. before and after an intervention. |
| One-way ANOVA One-Way ANOVA and Post-Hoc Tests: A Guide for Your Seminar Paper | Comparing means across three or more separate groups, followed by post hoc tests. |
| Repeated-measures ANOVA How to choose a statistical test: a quick guide for your paper or thesis | The same participants at three or more measurements, e.g. three time points. |
| Two-way ANOVA Two-Way ANOVA and Interactions: How to Read, Interpret and Report Them | The effect of two independent variables, and their interaction, on a continuous variable. |
| Mann-Whitney U test When to use the Mann–Whitney test, and how to report it | The non-parametric alternative to the independent t-test: two groups, an ordinal variable or a non-normal distribution. |
| Wilcoxon signed-rank test Non-Parametric Tests: Wilcoxon, Kruskal-Wallis, Friedman and Spearman - When and How | The non-parametric alternative to the paired t-test: the same participants at two measurements. |
| Kruskal-Wallis test Non-Parametric Tests: Wilcoxon, Kruskal-Wallis, Friedman and Spearman - When and How | The non-parametric alternative to one-way ANOVA: three or more separate groups. |
| Friedman test Non-Parametric Tests: Wilcoxon, Kruskal-Wallis, Friedman and Spearman - When and How | The non-parametric alternative to repeated-measures ANOVA. |
| Chi-square test of independence The Chi-Square Test (χ²): When to Use It, How to Run It in SPSS and How to Report It | A relationship between two categorical variables, e.g. gender and choice of track. |
| McNemar test The Chi-Square Test (χ²): When to Use It, How to Run It in SPSS and How to Report It | A yes/no variable measured twice in the same participants, before and after. |
| Pearson correlation Correlation or Regression? The Difference, When to Use Each and How to Report It | A linear relationship between two continuous variables. |
| Spearman correlation Correlation or Regression? The Difference, When to Use Each and How to Report It | A relationship between ordinal variables, or when the distribution is far from normal or there are outliers. |
| Mediation or moderation model (PROCESS) Mediation and Moderation with PROCESS in SPSS: A Guide for Your Thesis | Mediation: a variable that explains how the relationship works. Moderation: a variable that changes its strength or direction. |
| Multiple linear regression Correlation or Regression? The Difference, When to Use Each and How to Report It | Predicting a continuous variable from several predictors, including control variables. |
| Logistic regression Logistic regression in SPSS: how to read the output | Predicting a yes/no outcome from several predictors, with odds ratios (OR). |
| Structural equation modeling (SEM) What Is SEM? Structural Equation Modeling, Path Analysis and Latent Variables - A Thesis Guide | A full model of latent variables and the relationships between them, including confirmatory factor analysis. |
| Cronbach's alpha Low Cronbach's alpha: what to do | Checking the internal consistency of a scale before computing a score from it. |