2019
DOI: 10.1007/s00362-019-01098-8
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Power calculation in multiply imputed data

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Cited by 11 publications
(12 citation statements)
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“…Multiple imputations were used to handle missing data (see Table 1 for percentages of missing data per variable) to ensure sufficient statistical power ( Zha & Harel, 2021 ). We assumed missing data to be completely at random, which was supported by a non-significant Little's MCAR Test, χ 2 (99) = 108.00, p = .258.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Multiple imputations were used to handle missing data (see Table 1 for percentages of missing data per variable) to ensure sufficient statistical power ( Zha & Harel, 2021 ). We assumed missing data to be completely at random, which was supported by a non-significant Little's MCAR Test, χ 2 (99) = 108.00, p = .258.…”
Section: Resultsmentioning
confidence: 99%
“…Thus, sample size was not planned to be sufficiently powered for the current analyses. Since power analyses for multiple imputed data and single regression coefficients are not yet well established ( Zha & Harel, 2021 ), we based our post-hoc power analysis on complete cases ( n = 80) and calculated the statistical power ( α = .05) to detect an at least small effect ( d = .20, Cohen (1992) ) of agency, communion, physical or emotional health on SPA ongoing development or SPA physical losses. Results indicate that analyses based on complete data would have been sufficiently powered, β – 1 = .80.…”
Section: Resultsmentioning
confidence: 99%
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“…In practice we might expect missing data to be addressed through multiple imputation methods, which would typically lead to more power than the assumed complete case approach. A potential extension of the methods proposed could formally model the effect of multiple imputation on power 27 and incorporate this when defining pilot trial hypotheses.…”
Section: Discussionmentioning
confidence: 99%
“…Although we applied ITT with the imputation of missing values and thus reached the calculated sample size of 25 participants per group, there is some evidence that we lost power compared with the calculation of a full dataset. 75 3) Unlike pharmaceutic agents, exercise is a comprehensive tool which, if properly designed and applied, might positively address a large variety of biomedical variables. Thus, it is challenging to design and evaluate exercise protocols that aimed to address several aims important for health and performance.…”
Section: Dovepressmentioning
confidence: 99%