ArticlePsychological assessment2019
Evaluating construct equivalence of youth depression measures across multiple measures and multiple studies.
Article in Psychological assessment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Addressing Methodological Challenges in Follow-Up RCTs During the COVID-19 Pandemic: The Impact of the Good Behavior Game and MyTeachingPartner™ on Teacher Burnout and Self-Efficacy.Prevention science : the official journal of the Society for Prevention Research · 2026Trial
- The Impact of Sparse Datasets When Harmonizing Data from Studies with Different Measures of the Same Construct.Prevention science : the official journal of the Society for Prevention Research · 2024Article
- Harmonizing Social, Emotional, and Behavioral Constructs in Prevention Science: Digging into the Weeds of Aligning Disparate Measures.Prevention science : the official journal of the Society for Prevention Research · 2023Article
- Retrospective Psychometrics and Effect Heterogeneity in Integrated Data Analysis: Commentary on the Special Issue.Prevention science : the official journal of the Society for Prevention Research · 2023Article
- Design and methodology for an integrative data analysis of coping power: Direct and indirect effects on adolescent suicidality.Contemporary clinical trials · 2022Article
- Trends in parent-rated emotional symptoms, conduct problems, and hyperactivity/inattention among U.S. children and adolescents, 2004-2019.Journal of affective disorders · 2022Article
- Conceptual, methodological, and measurement factors that disqualify use of measurement invariance techniques to detect informant discrepancies in youth mental health assessments.Frontiers in psychology · 2022Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Construct equivalence of measures across studies is necessary for synthesizing results when combining data in meta-analysis or integrative data analysis. We discuss several assumptions required for construct equivalence, and review methods using individual-level data and item response theory (IRT) analysis for detecting or adjusting for violations of these assumptions. We apply IRT to data from 7 measures of depressive symptoms for 4,283 youth from 16 randomized prevention trials. Findings indicate that these data violate assumptions of conditional independence. Bifactor IRT models find that depression measures contain substantial reporter variance, and indicate that a single common factor model would be substantially biased. Separate analyses of ratings by youth find stronger evidence for construct equivalence, but factor invariance across sex and age does not hold. We conclude that data synthesis studies employing measures of youth depression should analyze results separately by reporter, explore more complex approaches to integrate these different perspectives, and explore methods that adjust for sex and age differences in item functioning. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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