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Related Experiment Videos

Structural-equation models of current drug use: are appropriate models so simple(x)?

R D Hays, K F Widaman, M R DiMatteo

    Journal of Personality and Social Psychology
    |January 1, 1987
    PubMed
    Summary

    The common-factor model better represents current drug use patterns than the simplex model in diverse populations. Ordinal measures are as effective as quantitative ones in latent variable drug use models.

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    Area of Science:

    • Psychology
    • Psychometrics
    • Substance Abuse Research

    Background:

    • Latent variable models are used to understand complex phenomena like drug use.
    • Previous research suggested different models for cumulative versus current drug use data.

    Purpose of the Study:

    • To compare the simplex and common-factor models for representing current drug use.
    • To evaluate the utility of ratio-scale versus ordinal-scale measures in latent variable models of drug use.

    Main Methods:

    • Maximum-likelihood estimation of latent variable structural models.
    • Analysis of two distinct samples: high school students (ratio-scale data) and industrial workers/college students (ordinal-scale data).
    • Specification of latent variables including alcohol, marijuana, enhancer hard drugs, and dampener hard drugs.

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    Main Results:

    • The common-factor model demonstrated a more acceptable fit to the observed current-use data than the simplex model in both samples.
    • Results were consistent across samples with different measurement scales (ratio vs. ordinal).

    Conclusions:

    • The common-factor model is a more suitable representation for current drug use patterns compared to the simplex model.
    • Ordinal measures of drug use are as effective as quantitative measures in latent variable modeling, challenging previous assumptions.