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Literature DB >> 8853237

Pattern reliability of narcotics addicts' self-reported data: a confirmatory assessment of construct validity and consistency.

Abstract

Pattern reliability, or the invariance of relationships among variables, was investigated in this study. The consistency of theoretical constructs reflected by measures taken at two separate occasions can be tested using confirmatory factor analysis. Self-report data were obtained from 323 narcotics addicts in two face-to-face interviews conducted in 1974/75 and 1985/86. The two interviews overlapped approximately 4 years between 1970 and 1974/75. Through the testing of the invariance of measurement and structural models, pattern reliability was confirmed in one of the models developed. Explication of pattern reliability offers an alternative means of assessing validity of self-report data.

Mesh：

Year: 1996 PMID： 8853237 DOI： 10.3109/10826089609063972

Source DB: PubMed Journal: Subst Use Misuse ISSN： 1082-6084 Impact factor: 2.164

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Cited

18 in total

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3. Characterizing durations of heroin abstinence in the California Civil Addict Program: results from a 33-year observational cohort study.

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4. A Marginal Structural Modeling Approach to Assess the Cumulative Effect of Drug Treatment on the Later Drug Use Abstinence.

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5. Estimating the causal effects of cumulative treatment episodes for adolescents using marginal structural models and inverse probability of treatment weighting.

Authors: Beth Ann Griffin; Rajeev Ramchand; Daniel Almirall; Mary E Slaughter; Lane F Burgette; Daniel F McCaffery
Journal: Drug Alcohol Depend Date: 2014-01-03 Impact factor: 4.492

Pattern reliability of narcotics addicts' self-reported data: a confirmatory assessment of construct validity and consistency.

1. Self-report of Longitudinal Substance Use: A Comparison of the UCLA Natural History Interview and the Addiction Severity Index.

2. Patterns of Crime and Drug Use Trajectories in Relation to Treatment Initiation and 5-Year Outcomes: An Application of Growth Mixture Modeling Across Three Datasets.

3. Characterizing durations of heroin abstinence in the California Civil Addict Program: results from a 33-year observational cohort study.

4. A Marginal Structural Modeling Approach to Assess the Cumulative Effect of Drug Treatment on the Later Drug Use Abstinence.

5. Estimating the causal effects of cumulative treatment episodes for adolescents using marginal structural models and inverse probability of treatment weighting.

6. Contrasting trajectories of heroin, cocaine, and methamphetamine use.

7. Patterns of treatment utilization and methamphetamine use during first 10 years after methamphetamine initiation.

8. Methamphetamine Use and Violent Behavior: User Perceptions and Predictors.

9. Consistency in Self-Reports of Drug Use Frequency by High-Risk Offenders Over a 5-Year Interval.

10. Comparing the dynamic course of heroin, cocaine, and methamphetamine use over 10 years.