Resources for Jamovi

Jamovi is a free easy to use statistical software which you can download from the Jamovi website. Choose the appropriate test depending on whether you have continuous , ordinal or nominal data and whether you are comparing different groups or repeated measurements of the same variable . For explanations of terminology for choosing the right test use our helpsheet, video or online test chooser . Download a list of links for all our Jamovi resources here .

Type of test	Dependent (outcome) variable (s)	Independent (explanatory) variable	Parametric Test (assumptions met)	Non-parametric (ordinal dependent or skewed)	Two independent variables of the same type
Test for a difference between two measurements of the same variable per subject	Continuous Summary stats	Time point (before/after) or condition	Paired t-test sheet	Wilcoxon signed rank sheet	Two-way repeated measures ANOVA or mixed between-within ANOVA if comparing groups
Test for a difference 3+ measurements of the same variable e.g. three time points	Continuous	3+ Time points or conditions	Repeated measures ANOVA	Freidman test	Two-way repeated measures ANOVA
Comparison of two independent groups	Continuous Summary stats	2 different groups (binary)	Independent t-test video or sheet	Mann-Whitney video or sheet	Two-way ANOVA video 1 , part 2, part 3
Comparison of 3+ independent groups	Continuous Summary stats	3+ different groups (nominal)	One way ANOVA ANOVA video or sheet, ANOVA assumptions	Kruskal-wallis video	Two-way ANOVA video 1 , part 2, part 3
Comparison of two or more independent groups	2+ different groups	2+ different groups	Chi-squared test & data summary video	Mann-Whitney (2 groups) or Kruskal-wallis (3+)	Logistic regression (DV:binary, IV:binary or continuous)
Strength & significance of relationship	Continuous	Continuous (Correlation and scatterplot)	Simple linear regression video or sheet	Spearman's correlation but no regression alternative	Multiple linear regression video (IV:binary or continuous)

Notes:A dependent variable is your main outcome of interest and most standard tests look at how one or more independent (explanatory or predictor) variables impact on a continuous dependent variable. Parametric tests usually assume that something is normally distributed whereas non-parametric tests can be used for ordinal dependent variables or very skewed data. Repeated measurements are when you have collected more than one measurement of the same variable at different time points or under different conditions e.g. weight before/after a diet or each person giving a taste score for two different cakes.