Comprehensive measurement invariance of alcohol outcome expectancies among adolescents using regularized moderated nonlinear factor analysis
- PMID: 34487979
- PMCID: PMC8805203
- DOI: 10.1016/j.addbeh.2021.107088
Comprehensive measurement invariance of alcohol outcome expectancies among adolescents using regularized moderated nonlinear factor analysis
Abstract
Alcohol outcomes expectancies (AOEs) are robust predictors of alcohol initiation and escalation of drinking behavior among adolescents. Although measurement invariance is a prerequisite for inferring valid comparisons of AOEs across groups (e.g., age), empirical evidence is lacking. In a secondary data analysis study, we employed regularized moderated nonlinear factor analysis (MNLFA) to simultaneously test differential item functioning (DIF) across age, sex, race, ethnicity, socioeconomic status (SES), and alcohol initiation for a 22-item, two-factor measure of positive and negative AOEs among adolescents (analytic n = 936 drawn from a parent study of 1023 adolescents). Evidence of DIF was minimal, with no DIF for the negative AOE factor and DIF for only two items of the positive AOE factor. The item "feel grown up" exhibited DIF by age, and the item "feel romantic" exhibited DIF by SES. After accounting for DIF, the positive AOE latent factor mean differed by SES, age, and alcohol initiation, and exhibited lower variability by alcohol initiation. The negative AOE latent factor mean differed by sex and SES, with greater variability by SES and age and lower variability by alcohol initiation. Group-differences findings for age and alcohol initiation are consistent with prior work, and differences by sex and SES are a new contribution to the literature that should prompt additional research to ensure replicability. The present study demonstrates the utility of the MNLFA technique for examining comprehensive measurement invariance, particularly for applied researchers who seek to examine substantive research questions while accounting for any DIF present in the scales used.
Keywords: Adolescents; Alcohol initiation; Alcohol outcome expectancies; Measurement invariance; Moderated nonlinear factor analysis.
Copyright © 2021. Published by Elsevier Ltd.
Conflict of interest statement
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
References
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- Bauer DJ, Belzak WCM, & Cole VT (2020). Simplifying the assessment of measurement invariance over multiple background variables: Using regularized moderated nonlinear factor analysis to detect differential item functioning. Structural Equation Modeling, 27(1), 43–55. 10.1080/10705511.2019.1642754. - DOI - PMC - PubMed
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- Belzak WCM (2021a). regDIF: Regularized differential item functioning (Version 0.0.1) [Software]. <https://github.com/wbelzak/regDIF>.
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- Belzak WCM (2021b). Using regularization to evaluate differential item functioning among multiple covariates: A penalized expectation-maximization algorithm via coordinate descent and soft-thresholding [Unpublished doctoral dissertation]. University of North Carolina Chapel Hill.
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