2004
DOI: 10.1519/14403.1
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Determining the Magnitude of Treatment Effects in Strength Training Research Through the Use of the Effect Size

Abstract: In order to improve the applicability of research to exercise professionals, it is suggested that researchers analyze and report data in intervention studies that can be interpreted in relation to other studies. The effect size and proposed scale for determining the magnitude of the treatment effect can assist strength and conditioning professionals in interpreting and applying the findings of the strength training studies.

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Cited by 531 publications
(471 citation statements)
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“…Partial Eta squared statistics ( 2 ) were analyzed to determine the magnitude of an effect independent of sample size. Pre/Post effect sizes were calculated for each group and performance measure [20]. The coefficient of the transfer was then calculated from squat result gains to vertical jump and sprinting speed via a calculation reported by Zatsiorsky [21]: Transfer = Result Gain in nontrained exercise/Result Gain in trained exercise…”
Section: Statistical Analysesmentioning
confidence: 99%
“…Partial Eta squared statistics ( 2 ) were analyzed to determine the magnitude of an effect independent of sample size. Pre/Post effect sizes were calculated for each group and performance measure [20]. The coefficient of the transfer was then calculated from squat result gains to vertical jump and sprinting speed via a calculation reported by Zatsiorsky [21]: Transfer = Result Gain in nontrained exercise/Result Gain in trained exercise…”
Section: Statistical Analysesmentioning
confidence: 99%
“…where M E =the mean of the experimental group, M C =the mean of the control group, and SD C =the standard deviation of the control group (Rhea 2004). For determination of the magnitude of effect sizes, we considered the following values for untrained individuals (Rhea 2004).…”
Section: Statistical Analysesmentioning
confidence: 99%
“…For determination of the magnitude of effect sizes, we considered the following values for untrained individuals (Rhea 2004). Trivial (<0.50), small (0.50-1.25), moderate (1.25-1.9), and large (>2.0).…”
Section: Statistical Analysesmentioning
confidence: 99%
“…Foram utilizados os seguintes critérios para o CCI: < 0,4 pobre; 0,4 -< 0,75 satisfatório; ≥ 0,75 excelente 25 . O cálculo do efeito do tamanho (Effect Size, ES) foi realizado através da formula de Cohen e os resultados se basearam nos seguintes critérios: <0,35 efeito trivial; 0,35-0,80 pequeno efeito; 0,80-1,50 efeito moderado; e >1,5 grande efeito, para sujeitos treinados de forma recreacional baseando em Rhea 26 . Uma significância (α) de 5% foi utilizada para todos os testes estatísticos, através do software SPSS versão 18.0.…”
Section: Análise Estatísticaunclassified