ArticlePsychological assessment2020
Social determinants of alcohol and cigarette use by race/ethnicity: Can we ignore measurement issues?
Article in Psychological assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Experiences of Discrimination and Alcohol Involvement Among Young Adults at the Intersection of Race/Ethnicity and Gender.Journal of racial and ethnic health disparities · 2025Article
- The cultural equivalence of measurement in substance use research.Experimental and clinical psychopharmacology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Psychometric critiques of cross-cultural research emphasize testing whether instruments measure the same construct across cultural groups. We tested for measurement invariance (by race/ethnicity) of instruments used to evaluate the relationship between alcohol and tobacco use with perceived discrimination and socioeconomic status (SES). Tests of psychometric equivalence across race/ethnicity focused on: the latent organization of constructs (configural invariance); if observed indicators have equal factor loadings or "true score" variance (metric invariance); and whether manifest indicators change uniformly contingent on change in the latent variable (scalar invariance). A cross-sectional survey of 2,376 cigarette smokers (794 Black, 786 Latinx, 796 White; mean age = 43 [SD = 12]; 58% female) was recruited via an online research panel. Discrimination was indicated by self-report; SES was indicated by self-reported education, employment, income, and the "SES Ladder;" alcohol use was indicated by frequency and typical quantity of drinking, and frequency of heavy drinking; tobacco use was indicated by frequency of smoking, cigarettes per smoking day, and time to first cigarette. All instruments demonstrated configural invariance; either full metric invariance (alcohol and discrimination) or partial metric invariance (tobacco and SES); and all constructs demonstrated partial scalar invariance. Results support psychometric critiques; for example, all of the SES indicators violated assumptions of classical measurement theory for valid between group comparisons. All of our instruments displayed some degree of systematic bias in measurement across race/ethnicity. Studies testing ethnic/racial differences may need to move beyond classical measurement theory, and may benefit from using statistical approaches that can test for (and model) bias in measurement. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.