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The Dependent Samples T And Wilcoxon Sign Rank Maximum Test, Saverpierre Maggio
The Dependent Samples T And Wilcoxon Sign Rank Maximum Test, Saverpierre Maggio
Wayne State University Dissertations
A maximum test using the parametric dependent samples t-test and the non-parametric Wilcoxon sign rank test was created using a FORTRAN program and various subroutines of the International Mathematical and Statistical Libraries (IMSL, 1980). Two tailed critical values were derived from a mixed normal distribution. Critical values obtained were at the 0.05, 0.025, 0.01 and 0.005 alpha levels via sample sizes (n) 8 through 30, 45, 60, 90 and 120. Critical values were compared to values obtained through the application of the Bonferroni correction method. It was concluded that the Bonferroni is an unnecessary method. Findings of the study are …
Planned Missingness Study Design: Two Methods To Developing The Study Survey Versions, E. Whitney G. Moore
Planned Missingness Study Design: Two Methods To Developing The Study Survey Versions, E. Whitney G. Moore
Kinesiology, Health and Sport Studies
A planned missingness data study design takes advantage of modern techniques for handling data missingness that is MCAR (Missing Completely at Random) and MAR (Missing at Random) (Brown, 2006; Enders, 2010). As modern data imputation techniques have improved, this study design option has become a powerful, cost-effective option for collecting the most data across the largest sample possible, while keeping the fatigue effect and expense of the study minimized (Little, 2010a, 2010b, 2012). The purpose of this guide is to provide an applied example for designing the surveys necessary when conducting a planned missingness research study design.