Process / pipelinestatistical-magnitude
效应量
效应量量化了研究发现的幅度,独立于样本量。p值告诉你结果是否具有统计学意义,而效应量告诉你结果的大小。Jacob Cohen在行为科学领域(1988年)正式确立了效应量测量,并建立了标准基准(Cohen's d的小效应量=0.2,中等效应量=0.5,大效应量=0.8)。效应量对于元分析、功效分析以及沟通研究发现的实际重要性至关重要。
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来源
- Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 0-8058-0283-5
- Cumming, G. (2012). Understanding the New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis. Routledge. ISBN: 0-415-87968-8
- Lakens, D. (2013). Calculating and Reporting Effect Sizes to Facilitate Cumulative Science: A Practical Primer for t-Tests and ANOVAs. Frontiers in Psychology, 4, 863. DOI: 10.3389/fpsyg.2013.00863 ↗
如何引用本页
ScholarGate. (2026, June 3). Effect Size: Quantifying the Magnitude of Research Findings. ScholarGate. https://scholargate.app/zh/research-statistics/effect-size
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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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