Significant difference between a control and experimental group before and after an intervention. What data are relevant and what statistical tool/s are appropriate?

To determine the significance of a difference between a control and experimental group before and after an intervention, both groups' pre- and post-intervention measures are important. To assess changes within each group over time, do a paired t-test or repeated measures ANOVA. To assess the magnitude of change across groups, employ independent t-tests or ANCOVA using pre-intervention scores as variables. Ensure that the data fit the normality and variance homogeneity assumptions. Consider effect size measurements such as Cohen's d to assess the practical importance of observed changes.

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