Evidence map›Paper›PMID 42847354›Full record

ArticleAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2026

Assessing measurement invariance of scales of likelihood and barriers to bystander intervention for problematic alcohol use among college students.

Erika Montanaro, Michael Brienzo, Jasmine Temple, Kennicia Fortson, Nicole Schwab, Annelise Mennicke

Abstract read
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Article in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Erika MontanaroDepartment of Psychological Science, University of North Carolina at Charlotte, United States.ORCID 0000-0001-8936-6372
Michael BrienzoDepartment of Psychological Science, University of North Carolina at Charlotte, United States.ORCID 0000-0001-6844-5741
Jasmine TempleDepartment of Psychological Science, University of North Carolina at Charlotte, United States.ORCID 0000-0001-5356-713X
Kennicia FortsonDepartment of Psychological Science, University of North Carolina at Charlotte, United States.ORCID 0000-0002-0012-1561
Nicole SchwabDepartment of Psychological Science, University of North Carolina at Charlotte, United States.ORCID 0000-0001-9182-8003
Annelise MennickeDepartment of Psychological Science, University of North Carolina at Charlotte, United States.ORCID 0000-0003-4259-4356

Funding

Development and Validation of Remaining Measures to Assess the Bystander Intervention for Problematic Alcohol Use Model (BIPAUM)R15AA031833 · NIAAA · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI MENNICKE, ANNELISE, MONTANARO, ERIKA ANN · 2024 to 2024
$416k
National Institutes of Alcohol Abuse and Alcoholism 1R15AA028910-01NIAAA NIH HHS R15 AA031833
6 · The paper itself

Abstract

backgroundProblematic drinking among college students is a serious issue that leads to dire consequences. Bystander intervention (BI) for problematic alcohol use (PAU) is a promising approach that capitalizes on social networks to prevent PAU. Reliable and valid measures of BI for PAU that operate equivalently across demographic groups are needed. PURPOSE: The purpose of this investigation is to assess the measurement invariance of 2 validated scales of BI for Plikelihood to intervene and self-confidence to overcome barriers to intervention. Measurement invariance was tested across 6 groups, including (1) student athletes, (2) Black, Indigenous, and People of Color, (3) Greek affiliation, (4) sexual and gender minority students, (5) first year in college, and (6) men. Each target group was compared to a random sample of people not in the target group.

methodsParticipants (n = 1190) were recruited via Prime Panels to complete the Bystander Alcohol Likelihood to Intervene (BALI) and Overcoming Bystander Alcohol Barriers to Intervene (OBABI) scales. Random subsamples of groups of interest were created to ensure equal size within subgroups. Assessments of measurement invariance occur in a stepwise process: (1) configural, (2) metric, and (3) scalar.

resultsConfigural invariance was established for each group. Metric invariance was not established, so scalar invariance was not investigated.

conclusionsEstablishing configural invariance means that constructs and subfactors of BALI and OBABI operate equivalently between groups. However, the lack of metric invariance suggests that the items are not endorsed equivalently between these different risk groups. Further research should interrogate where discrepancies lie for items on the BALI and OBABI.

Indexed as

Alcohol Drinking in CollegeHelping BehaviorStudentsAdolescentAdultAlcohol DrinkingFemaleHumansMaleUniversitiesYoung Adultalcohol usebystander interventioncollege studentsmeasurement invariance

Identifiers

PMID42847354
PMCPMC13650274

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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.