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Abstract
The authors empirically examined whether the validity of a residualized dependent variable after covariance adjustment is comparable to that of the original variable of interest. When variance of a dependent variable is removed as a result of one or more covariates, the residual variance may not reflect the same meaning. Using the pretest–posttest design as a general framework, the authors compared the nomological validity network for the (a) original dependent variable scores and (b) residualized dependent variable scores after having covaried-out variance explainable by a pretest. Heuristic and empirical examples are provided that demonstrate potential variation in construct validity of residualized dependent variables is a function of correlations among dependent, covariate, and validity variables.
Additional information
Notes on contributors
Kim Nimon
Kim Nimon has Ph.D. degrees in Applied Technology and Performance Improvement and Educational Research from University of North Texas. Her research interests include quantitative analytical methodologies and workforce development.
Robin K. Henson
Robin K. Henson has a Ph.D. in Educational Psychology from Texas A&M University. His research interests include applied statistics, measurement, and self-efficacy theory.