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Date of Award
Education Evaluation and Research
THE IMPACT OF MULTIPLE IMPUTATION ON THE TYPE II ERROR RATE OF
THE T TEST
TAMMY A. GRACE
Advisor: Shlomo Sawilowsky, PhD
Major: Evaluation and Research
Degree: Doctor of Philosophy
The National Academy of Science identified numerous high priority areas for missing data research. This study addresses several of those areas by systematically investigating the impact of multiple imputation on the rejection rate of the independent samples t test under varying conditions of sample size, effect size, fraction of missing data, distribution shape, and alpha. In addition to addressing gaps in the missing data literature, this study also provides an overview of the multiple imputation procedure, as implemented in SPSS, with a focus on the practical aspects and challenges of using this method.
Grace, Tammy A., "The Impact Of Multiple Imputation On The Type Ii Error Rate Of The T Test" (2016). Wayne State University Dissertations. 1536.