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Despite self-control being firmly established as a significant predictor of crime and victimization, persistent concerns over the factor structure have led to ongoing debates about whether to treat self-control as a unidimensional construct or as six correlated traits. The current study utilizes bifactor models to explicitly disentangle self-control from its individual elements, resulting in several new insights into the measurement debate. Specifically, we document the proportion explained variance in scale items by self-control and its elements, discuss the sources of reliability in the overall scale and six subscales to inform the viability of using a total score and individual scores to measure self-control and its elements in observed variable analyses, and assess the unique effects of general (self-control) and specific (elements) latent factors on crime and victimization. Implications for theory, measurement, and future research are discussed.
Jeffrey T. Ward, University of Texas at San Antonio
Matt R. Nobles, Sam Houston State University
Kathleen A. Fox, Arizona State University