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• Effect_size abstract "In statistics, an effect size is a measure of the strength of a phenomenon (for example, the change in an outcome after experimental intervention). An effect size calculated from data is a descriptive statistic that conveys the estimated magnitude of a relationship without making any statement about whether the apparent relationship in the data reflects a true relationship in the population. In that way, effect sizes complement inferential statistics such as p-values. Among other uses, effect size measures play an important role in meta-analysis studies that summarize findings from a specific area of research, and in statistical power analyses.The concept of effect size already appears in everyday language. For example, a weight loss program may boast that it leads to an average weight loss of 30 pounds. In this case, 30 pounds is the claimed effect size. Another example is that a tutoring program may claim that it raises school performance by one letter grade. This grade increase is the claimed effect size of the program. These are both examples of "absolute effect sizes", meaning that they convey the average difference between two groups without any discussion of the variability within the groups. For example, if the weight loss program results in an average loss of 30 pounds, it is possible that every participant loses exactly 30 pounds, or half the participants lose 60 pounds and half lose no weight at all.Reporting effect sizes is considered good practice when presenting empirical research findings in many fields. The reporting of effect sizes facilitates the interpretation of the substantive, as opposed to the statistical, significance of a research result.Effect sizes are particularly prominent in social and medical research. Relative and absolute measures of effect size convey different information, and can be used complementarily. A prominent task force in the psychology research community expressed the following recommendation: Always present effect sizes for primary outcomes...If the units of measurement are meaningful on a practical level (e.g., number of cigarettes smoked per day), then we usually prefer an unstandardized measure (regression coefficient or mean difference) to a standardized measure (r or d). — L. Wilkinson and APA Task Force on Statistical Inference (1999, p. 599)".
• Effect_size wikiPageExternalLink index.html.
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• Effect_size wikiPageExternalLink effect-size-for-dependent-sample-t-test.
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• Effect_size wikiPageExternalLink www.gpower.hhu.de.
• Effect_size wikiPageExternalLink hlthsvyeng2004upd.
• Effect_size wikiPageExternalLink paper.
• Effect_size wikiPageExternalLink vista.htm.
• Effect_size wikiPageExternalLink www.meta-analysis-made-easy.com.
• Effect_size wikiPageExternalLink effect_size.html.
• Effect_size wikiPageExternalLink p25-34.pdf.
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• Effect_size wikiPageExternalLink ncp.
• Effect_size wikiPageID "437276".
• Effect_size wikiPageRevisionID "606175332".
• Effect_size hasPhotoCollection Effect_size.
• Effect_size subject Category:Clinical_research.
• Effect_size subject Category:Educational_psychology_research_methods.
• Effect_size subject Category:Effect_size.
• Effect_size subject Category:Hypothesis_testing.
• Effect_size subject Category:Medical_statistics.
• Effect_size subject Category:Meta-analysis.
• Effect_size subject Category:Pharmaceutical_industry.
• Effect_size type Ability105616246.
• Effect_size type Abstraction100002137.
• Effect_size type Cognition100023271.
• Effect_size type EducationalPsychologyResearchMethods.
• Effect_size type Know-how105616786.
• Effect_size type Method105660268.
• Effect_size type PsychologicalFeature100023100.
• Effect_size comment "In statistics, an effect size is a measure of the strength of a phenomenon (for example, the change in an outcome after experimental intervention). An effect size calculated from data is a descriptive statistic that conveys the estimated magnitude of a relationship without making any statement about whether the apparent relationship in the data reflects a true relationship in the population. In that way, effect sizes complement inferential statistics such as p-values.".
• Effect_size label "Effect size".
• Effect_size label "Effectgrootte".
• Effect_size label "Effektstärke".
• Effect_size label "Taille d'effet".
• Effect_size label "Tamaño del efecto".
• Effect_size sameAs Effektstärke.
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• Effect_size sameAs Taille_d'effet.
• Effect_size sameAs Ukuran_efek.
• Effect_size sameAs Effectgrootte.
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• Effect_size wasDerivedFrom Effect_size?oldid=606175332.
• Effect_size isPrimaryTopicOf Effect_size.