Advisor
Mundfrom, Daniel
Committee Member
Heiny, Robert
Committee Member
Schaffer, Jay
Committee Member
Perrett, Jamis
Department
Applied Statistics & Research Methods
Institution
University of Northern Colorado
Type of Resources
Text
Place of Publication
Greeley (Colo.)
Publisher
University of Northern Colorado
Date Created
5-1-2011
Genre
Thesis
Extent
102 pages
Digital Origin
Born digital
Abstract
Three multivariate methods for measuring change from pretest to posttest are compared with respect to statistical power over various levels and combinations of effect size, alpha level, sample size, number of dependent variables, number of significantly different dependent variables, correlation between corresponding pretest and posttest scores, and correlation between unrelated pretest and posttest scores. The method utilizing posttests as the dependent variables and pretests as covariates was found to have superior statistical power in the majority of the scenarios examined. However, there were scenarios where the method utilizing change scores as dependent variables and the method utilizing only posttests as the dependent variables displayed greater power. Using results from the Monte Carlo simulations, comparisons are presented that reveal the conditions under which each of the three multivariate methods displayed greater statistical power than the other two. In addition to the immediate implications of the current study, suggested future avenues of research that could expand upon the current findings are discussed.
Degree type
PhD
Degree Name
Doctoral
Language
English
Local Identifiers
Rogers_unco_0161D_10074
Rights Statement
Copyright is held by author.
