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Statistical Significance is not a “Kosher Certificate” for Observed Effects: A Critical Analysis of the Two-Step Approach to the Evaluation of Empirical Results

Datos Bibliográficos

ID9733189
AutoresSorel Cahan (autor de correspondencia)
Año2000
Volumen29
Número1
Páginas31-34
Fecha de publicación2000-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaEducational Researcher (JOURNAL)
Identificadores de la revistaISSN: 0013-189X • E-ISSN: 1935-102X
EditorialAmerican Educational Research Association (AERA) (PUBLISHER)
DOI10.3102/0013189x029001031
OpenAlexW2072103227
IdiomaEN
Citas recibidas2
Referencias citadas10

In order to prevent misleading conclusions based on spurious observed effects—especially seductively large ones—Robinson and Levin (1997) suggested a two step approach to the reporting and evaluation of empirical results. According to the two-step model, the evaluation of the magnitude and substantive significance of obtained effects should be conditional upon their statistical significance: Author should first indicate whether the observed effect is statistically improbable, and only if it is should they then indicate how large or important it is. The purpose of their paper is (a) to show that even through the underlying intention—to prevent unwarranted evaluation of spurious observed effects—is a laudable one, the two-step approach is inappropriate for this purpose, and (b) to reiterate the preferred approach, namely increased sample size and computation of confidence intervals

Algorithm · Certificate · Confidence interval · Econometrics · Empirical research · Sample (material · Sample size determination · Spurious relationship · Statistical analysis · Statistical significance · Statistics · Computer Science · Data Analysis with R · Mathematics · Meta-analysis and systematic reviews · Psychology · Statistical Methods in Clinical Trials