Work

Psychometric approaches for developing commensurate measures across independent studies: Traditional and new models.

Year: 2009

Type: article

Abstract: When conducting an integrative analysis of data obtained from multiple independent studies, a fundamental problem is to establish commensurate measures for the constructs of interest. Fortunately, procedures for evaluating and establishing measurement equivalence across samples are well developed for the linear factor model and commonly used item response theory models. A newly proposed moderated nonlinear factor analysis model generalizes these models and procedures, allowing for items of different scale types (continuous or discrete) and differential item functioning across levels of categorical and/or continuous variables. The potential of this new model to resolve the problem of measurement in integrative data analysis is shown via an empirical example examining changes in alcohol involvement from ages 10 to 22 years across 2 longitudinal studies.

Source: Psychological Methods

DOI: 10.1037/a0015583

Authors: Daniel J. Bauer, Andrea M. Hussong

Institution: University of North Carolina at Chapel Hill

Language: English

Topic: Psychometric Methodologies and Testing

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funders: National Science Foundation, National Institute on Alcohol Abuse and Alcoholism, National Institute on Drug Abuse, Division of Mathematical Sciences

Awards: SUBSTANCE USE AMONG CHILDREN OF ALCOHOLICS, Long Term Consequences of Collegiate Alcohol Involvement, Diagnosing and Estimating Nonlinear Effects in Latent Variable Models, Substance Use Among Children of Alcoholics, Internalizing pathways to drug use: A multi-sample analysis