ArticleBehavior research methods2021
Harmonizing altered measures in integrative data analysis: A methods analogue study.
Article in Behavior research methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed.
- Project Harmony 2.0: protocol for an updated and expanded individual patient data meta-analysis and virtual clinical trial of treatments for comorbid PTSD and substance use disorders.European journal of psychotraumatology · 2026Article
- A data integration method for new advances in development cognitive neuroscience.Developmental cognitive neuroscience · 2024Article
- Problematic Substance Use among Sexual Minority and Heterosexual Young Adults during COVID-19.Behavioral sciences (Basel, Switzerland) · 2023Article
- Future Orientation Among Children Affected by Parental HIV in China: An Exploratory Analysis of Complex Interactions.Frontiers in sociology · 2022Article
- Sleep Quality and the Edge-On Edge-Off Cycle of Caffeine and Alcohol Use.Substance use : research and treatmentArticle
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Authors and funding
4 authors.
Funding
Abstract
In the current study, we used an analogue integrative data analysis (IDA) design to test optimal scoring strategies for harmonizing alcohol- and drug-use consequence measures with varying degrees of alteration across four study conditions. We evaluated performance of mean, confirmatory factor analysis (CFA), and moderated nonlinear factor analysis (MNLFA) scores based on traditional indices of reliability (test-retest, internal, and score recovery or parallel forms) and validity. Participants in the analogue study included 854 college students (46% male; 21% African American, 5% Hispanic/Latino, 56% European American) who completed two versions of the altered measures at two sessions, separated by 2 weeks. As expected, mean, CFA, and MNLFA scores all resulted in scales with lower reliability given increasing scale alteration (with less fidelity to formerly developed scales) and shorter scale length. MNLFA and CFA scores, however, showed greater validity than mean scores, demonstrating stronger relationships with external correlates. Implications for measurement harmonization in the context of IDA are discussed.
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Registered trials
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