2003
DOI: 10.4324/9781410609267
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Statistical Power Analysis

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Cited by 118 publications
(96 citation statements)
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“…We used this formula to compute Cohen’s effect sizes: eta 2 /(1- eta 2 )= Cohen's f 2 . An f 2 = .02 is small effect, an f 2 = .15 is medium effect and an f 2 =.35 is large effect (see Murphy et al, 2009). …”
Section: Resultsmentioning
confidence: 97%
See 1 more Smart Citation
“…We used this formula to compute Cohen’s effect sizes: eta 2 /(1- eta 2 )= Cohen's f 2 . An f 2 = .02 is small effect, an f 2 = .15 is medium effect and an f 2 =.35 is large effect (see Murphy et al, 2009). …”
Section: Resultsmentioning
confidence: 97%
“…We report results of paired t -tests, for which two time points yield the same results as repeated measures within-subjects ANOVA. To estimate effect sizes we used Cohen’s f 2 , the ratio of partial eta 2 / (1-partial eta 2 ) and descriptive language (small, medium, or large effect) as recommended by Murphy, Myors, and Wolach (2009).…”
Section: Resultsmentioning
confidence: 99%
“…power wheelchair). Interrater reliability is 0.75 and content and predictive validity are well-demonstrated in child and adult populations [9,29,30]. …”
Section: Methodsmentioning
confidence: 99%
“…Only variables that were statistically significant ( p <.05) in these individual comparisons were then entered into linear regression models for each of the two‐factor scores, to allow consideration of the relative impacts of these variables in concert. The criteria suggested by Murphy and Myors (2004) were utilized in this context, which classify R 2 values less than .10 as small in magnitude, R 2 values between .10 and .25 as medium, and R 2 values greater than .25 as large.…”
Section: Methodsmentioning
confidence: 99%