This chapter begins with a brief review of why effect sizes and their variances are more informative than P-values. It then discusses how meta-analysis promotes “effective thinking” that can change approaches to several commonplace problems. Specifically, it addresses the issues of (1) exemplar studies versus average trends, (2) resolving “conflict” between specific studies, (3) presenting results, (4) deciding on the level at which to replicate studies, (5) understanding the constraints imposed by low statistical power, and (6) asking broad-scale questions that cannot be resolved in a single study. The chapter focuses on estimating effect sizes as a key outcome of meta-analysis, but acknowledges that other outcomes might be of more interest in other situations.
Imported from OpenAlex (CC0) — nothing here is generated.