دورية أكاديمية

Better Accuracy for Better Science . . . Through Random Conclusions.

التفاصيل البيبلوغرافية
العنوان: Better Accuracy for Better Science . . . Through Random Conclusions.
المؤلفون: Davis-Stober CP; Department of Psychological Sciences, MU Institute for Data Science and Informatics, University of Missouri., Dana J; Yale School of Management, Yale University., Kellen D; Department of Psychology, Syracuse University., McMullin SD; Department of Psychological Sciences, University of Missouri., Bonifay W; Missouri Prevention Science Institute, Educational, School & Counseling Psychology, University of Missouri.
المصدر: Perspectives on psychological science : a journal of the Association for Psychological Science [Perspect Psychol Sci] 2024 Jan; Vol. 19 (1), pp. 223-243. Date of Electronic Publication: 2023 Jul 19.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Sage Country of Publication: United States NLM ID: 101274347 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1745-6924 (Electronic) Linking ISSN: 17456916 NLM ISO Abbreviation: Perspect Psychol Sci Subsets: MEDLINE
أسماء مطبوعة: Publication: 2010- : Thousand Oaks, CA : Sage
Original Publication: [Washington, D.C.] : Association for Psychological Science, 2006-
مواضيع طبية MeSH: Research Design* , Neurosciences*, Humans ; Sample Size
مستخلص: Conducting research with human subjects can be difficult because of limited sample sizes and small empirical effects. We demonstrate that this problem can yield patterns of results that are practically indistinguishable from flipping a coin to determine the direction of treatment effects. We use this idea of random conclusions to establish a baseline for interpreting effect-size estimates, in turn producing more stringent thresholds for hypothesis testing and for statistical-power calculations. An examination of recent meta-analyses in psychology, neuroscience, and medicine confirms that, even if all considered effects are real, results involving small effects are indeed indistinguishable from random conclusions.
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معلومات مُعتمدة: K25 AA024182 United States AA NIAAA NIH HHS
فهرسة مساهمة: Keywords: benchmarks; estimation; hypothesis testing; random conclusions; t tests
تواريخ الأحداث: Date Created: 20230719 Date Completed: 20240116 Latest Revision: 20240218
رمز التحديث: 20240218
مُعرف محوري في PubMed: PMC10796851
DOI: 10.1177/17456916231182097
PMID: 37466102
قاعدة البيانات: MEDLINE
الوصف
تدمد:1745-6924
DOI:10.1177/17456916231182097