Article
Validity of a Residualized Dependent Variable After Pretest Covariance Adjustments: Still the Same Variable?
Journal of Experimental Education
(2015)
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.
Keywords
- Statistical Analysis,
- Construct Validity,
- Pretesting,
- Pretests Posttests,
- Scores,
- Heuristics,
- Correlation,
- Psychometrics,
- Structural Equation Models,
- Factor Structure,
- Goodness of Fit,
- Depression (Psychology),
- College Students
Disciplines
Publication Date
July 3, 2015
DOI
10.1080/00220973.2014.907228
Citation Information
Kim Nimon and Robin K. Henson. "Validity of a Residualized Dependent Variable After Pretest Covariance Adjustments: Still the Same Variable?" Journal of Experimental Education Vol. 83 Iss. 3 (2015) p. 405 - 422 Available at: http://works.bepress.com/kim-nimon/31/