Overview: The between-subjects ANOVA (Analysis of Variance) is a very common statistical method used to look at independent variables with more than 2 groups (levels). When to use an ANOVA A continuous dependent (Y) variable and 1 or more categorical unpaired, independent, (X) variables. If you’re dealing with 1 X variable with only 2 levels,...Read More

Overview: T-tests are the perhaps one of the most simple types of statistical tests. The goal here is simply determining if one mean is statistically different than another mean. When to use an independent samples t-test: You perform an independent samples t-test (also known as a between subjects t-test) when comparing two continuous, unpaired means....Read More

Overview The within-subjects (or repeated measures or paired-samples) t-test is a very common statistical method used to compare mean differences between two dependent groups. This is different than the between-subjects t-test because individuals are in both of the two comparison groups. For example, math achievement of students before and after an intervention. If the same...Read More

When to use a chi-square test: ​A chi square analysis is used when we have a categorical dependent and independent variable. Basically, we’re going to compute a cross-tabulation to ask if there’s a greater frequency of some kind of outcome event in group A compared to group B. Assumptions of the chi-square test: ​1. The...Read More