Which statistical test is used for experiments with repeated measures?

The paired t test is specifically designed for scenarios where measurements are taken from the same subjects under different conditions or at different times. This is common in experiments that involve repeated measures, where the same participants are assessed multiple times to evaluate changes or effects.

In using the paired t test, researchers can compare the means of two related groups, making it particularly effective for determining if there are statistically significant differences due to the intervention or condition being studied. The focus on the same subjects ensures that individual variability is minimized, as the test accounts for intra-subject correlation, leading to more reliable results.

In contrast, the unpaired t test handles comparisons between two independent groups, while ANOVA is generally utilized for comparing means across three or more groups, without necessarily focusing on repeated measures. Correlation analysis, on the other hand, investigates the relationship between two variables rather than testing for differences in means. This makes the paired t test the most suitable choice when analyzing data from repeated measures experiments.