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“Effect Size” books focus on the statistical quantification of how large a difference or association is, emphasizing practical significance beyond p-values. This category covers foundational and advanced measures such as Cohen’s d, Hedges’ g, Pearson’s r, odds ratios, and risk ratios; how to compute, interpret, and report them with confidence intervals; and their roles in meta-analysis, power and sample-size planning, and replication. Titles often include real-data examples, visualization tools (e.g., forest plots), and software workflows in R, SPSS, or Stata, with applications across psychology, education, medicine, and the social sciences. Ideal for researchers, students, and evidence-based practitioners, these books provide clear, comparable metrics to inform study design, evaluate interventions, and communicate meaningful results.

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