2020
DOI: 10.1016/j.apmr.2020.02.017
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Novel Effect Size Interpretation Guidelines and an Evaluation of Statistical Power in Rehabilitation Research

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Cited by 81 publications
(68 citation statements)
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“…Of note, this approach was done to establish specific within-modality information only. ES were interpreted as follows: small = 0.14, moderate = 0.31, large = 0.61 based on empirical data from 99 meta-analyses examining the effects of rehabilitation/exercise 41 . Statistical heterogeneity was quantified using Higgins' I 2 statistic, and was interpreted as follows: heterogeneity: > 50%, no or limited heterogeneity: < 50% 42 .…”
Section: Synthesis Of Resultsmentioning
confidence: 99%
“…Of note, this approach was done to establish specific within-modality information only. ES were interpreted as follows: small = 0.14, moderate = 0.31, large = 0.61 based on empirical data from 99 meta-analyses examining the effects of rehabilitation/exercise 41 . Statistical heterogeneity was quantified using Higgins' I 2 statistic, and was interpreted as follows: heterogeneity: > 50%, no or limited heterogeneity: < 50% 42 .…”
Section: Synthesis Of Resultsmentioning
confidence: 99%
“…While NHST statistics is about statistical significance, effect size statistic talks about the practical importance of studies' results. Effect size indices are widely interpreted in terms of "small," "medium," or "large" for application purposes (García, 2017;Kinney et al, 2020).…”
Section: Results and Indices Reportingmentioning
confidence: 99%
“…We computed the effect size using Hedges' g, as this approach is recommended for small samples [38]. Effect sizes were interpreted per recommendations for rehabilitation studies as small effects: 0.08 to 0.15, medium effects: 0.19 to 0.36, and large effects: 0.41 to 0.67 [40].…”
Section: Discussionmentioning
confidence: 99%