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Author: Hoffmann, John P.
Resulting in 2 citations.
1. Hoffmann, John P.
Dufur, Mikaela J.
Huang, Lynn
Drug Use and Job Quits: A Longitudinal Analysis
Journal of Drug Issues 37,3 (Summer 2007): 569-596
Cohort(s): NLSY79
Publisher: College of Criminology and Criminal Justice
Keyword(s): Drug Use; Gender Differences; Mobility, Job; Quits; Unemployment

Permission to reprint the abstract has not been received from the publisher.

Voluntary job separation, or quitting, occurs for a variety of reasons. Although it is often a positive move, it may also lead to periods of unemployment. Studies suggest that one factor that may be implicated in the likelihood of quitting is illicit drug use: Adult drug users may not only quit more frequently but also have a heightened probability of unemployment following a quit. Yet, prior research has not taken a sufficient longitudinal perspective, considered contemporary research on job mobility, nor examined gender differences. We assessed the association using longitudinal data on 8,512 individuals followed from 1984 to 1995. The results indicated that marijuana and cocaine use were associated with a higher probability of quitting. Moreover, marijuana use among males, but not females, was associated with a higher likelihood of experiencing periods of unemployment following a quit. We discuss the implications of these results for understanding gender-distinct patterns of drug use and occupational trajectories. [ABSTRACT FROM AUTHOR]

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Bibliography Citation
Hoffmann, John P., Mikaela J. Dufur and Lynn Huang. "Drug Use and Job Quits: A Longitudinal Analysis." Journal of Drug Issues 37,3 (Summer 2007): 569-596.
2. Wolfe, Scott E.
Hoffmann, John P.
On the Measurement of Low Self-Control in Add Health and NLSY79
Psychology, Crime and Law 22,7 (2016): 619-650.
Also: http://www.tandfonline.com/doi/abs/10.1080/1068316X.2016.1168428
Cohort(s): NLSY79
Publisher: Taylor & Francis Group
Keyword(s): National Longitudinal Study of Adolescent Health (AddHealth); Scale Construction; Self-Control/Self-Regulation

Permission to reprint the abstract has not been received from the publisher.

Limited attention has been devoted to the dimensionality of the low self-control scales commonly constructed in two nationally representative datasets routinely used to test self-control theory—Add Health and NLSY79. We assess the measurement properties of the low self-control scales by comparing a series of exploratory and confirmatory models that are appropriate for the categorical nature of the observed items, including unidimensional, correlated factors, second-order factor, and bifactor models. Additionally, based on these results we explore the predictive validity of the respective scales on adolescents' delinquent behavior. The results indicate that the low self-control scales in these data have acceptable levels of internal consistency but do not represent unidimensional latent factors. Rather, scales are best represented by a second-order factor structure. When measured this way, our Add Health scale is associated with delinquency in a cross-sectional context and our NLSY79 scale predicts delinquency longitudinally. This study reveals that low self-control is best conceptualized as a multidimensional construct within these data. The results of this study provide guidance to researchers measuring low self-control in either dataset (or other data sources) and inform the larger self-control theory measurement literature.
Bibliography Citation
Wolfe, Scott E. and John P. Hoffmann. "On the Measurement of Low Self-Control in Add Health and NLSY79." Psychology, Crime and Law 22,7 (2016): 619-650.