Date of Award

2000

Document Type

Thesis

Degree Name

Master of Science in Psychology

Department

Psychology

Abstract

A study into the factors that affect power in an analysis of covariance (ANCOVA) design were examined. Four factors - sample size, significance level, dependent variable-covariate correlations and homogeneity of regression - were varied in a population study. Results indicate that power increased when the dependent variable-covariate correlations increased and when sample size increased. Power also increased when a less stringent alpha level was used. Homogeneity of regression did not effect power. Implications and recommendations for the applied researcher are discussed.

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