Child Development · 2000 · 433 citations · 21 references
Public HealthPublic PolicySocial PolicyCausal InferenceMeta-analysisPolicy AnalysisEarly Childhood Policy EvaluationEffect Size EstimationEffect SizeEffect Size AnalysisEffect Size InterpretationPublic Policy DebateSocial Policy Design
Research on children often shapes policy decisions, yet social scientists rarely analyze data in ways that are most useful to policymakers, and the practical importance of effect sizes depends on both scientific and empirical context. The paper presents three ideas for evaluating practical importance: (1) accompany significance tests with effect size estimates, (2) use all existing data via meta‑analyses, and (3) be cautious about interpreting null or small findings as evidence of no effect. To operationalize these ideas, the authors recommend that significance tests be reported alongside effect size estimates and that meta‑analyses be employed to synthesize all available data.
Real decisions for real children are influenced by the papers developmentalists write, regardless of whether we ever intended our papers to be used in the policy arena. Yet most social scientists seldom analyze data in ways that are most useful to policymakers. The primary purpose of this paper is to share three ideas concerning how to evaluate the practical importance of a finding or set of findings. First, for research to be most useful not only in the policy arena but also more generally, significance tests need to be accompanied by effect size estimates. The practical importance of an effect size depends on the scientific context (i.e., measurement, design, and method) as well as the empirical literature context. Second, researchers need to use all existing data when weighing in on a policy debate; here, meta‐analyses are particularly useful. Finally, researchers need to be careful about embracing null or small findings, because effects may well be small due to measurement problems alone, particularly early in the history of a research domain.
21
The earth is round (p < .05).
Jacob Cohen · American Psychologist · 1994 · 3.9K citations
The Handbook of Research Synthesis.
D. Howel, H. Cooper, Larry V. Hedges · Biometrics · 1995 · 3.7K citations
Parametric measures of effect size.
Robert Rosenthal · 1994 · 1.6K citations