Evidence map›Paper›PMID 36753042›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2023

Harmonizing Social, Emotional, and Behavioral Constructs in Prevention Science: Digging into the Weeds of Aligning Disparate Measures.

Heather L McDaniel, Lissette M Saavedra, Antonio A Morgan-López, Catherine P Bradshaw, John E Lochman, Chelsea A Kaihoi, Nicole P Powell, Lixin Qu, Anna C Yaros

Abstract read
PubMed Publisher
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Indirect Effects of the Coping Power Intervention on Latent Suicidal Thoughts and Behaviors: an Integrative Data Analysis.Prevention science : the official journal of the Society for Prevention Research · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Advancing Intervention and Prevention Research for Behavioral Health Problems Through Data Synthesis.Prevention science : the official journal of the Society for Prevention Research · 2023
    Article
  9. 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 · 2023
    Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Heather L McDanielSchool of Education and Human Development, University of Virginia, Charlottesville, VA, USA. hm8tc@virginia.edu.ORCID 0000-0001-8214-9551
Lissette M SaavedraCommunity Health Research Division, RTI International, Research Triangle Park, NC, USA.
Antonio A Morgan-LópezCommunity Health Research Division, RTI International, Research Triangle Park, NC, USA.
Catherine P BradshawSchool of Education and Human Development, University of Virginia, Charlottesville, VA, USA.
John E LochmanCenter for Youth Development and Intervention, University of Alabama, Tuscaloosa, AL, USA.
Chelsea A KaihoiSchool of Education and Human Development, University of Virginia, Charlottesville, VA, USA.
Nicole P PowellCenter for Youth Development and Intervention, University of Alabama, Tuscaloosa, AL, USA.
Lixin QuCenter for Youth Development and Intervention, University of Alabama, Tuscaloosa, AL, USA.
Anna C YarosCommunity Health Research Division, RTI International, Research Triangle Park, NC, USA.

Funding

Integrative Data Analysis of Coping Power: Effects on Adolescent SuicidalityR01MH124438 · NIMH · RESEARCH TRIANGLE INSTITUTE · PI LOCHMAN, JOHN E, MORGAN-LOPEZ, ANTONIO A · 2020 to 2022
$1.7M
NIMH NIH HHS R01MH124438
6 · The paper itself

Abstract

While integrative data analysis (IDA) presents great opportunity, it also necessitates a myriad of methodological decisions related to harmonizing disparate measures collected across multiple studies. There is a lack of step-by-step methodological guidance for harmonizing disparate measures of latent constructs differently conceptualized or operationalized across studies, such as social, emotional, and behavioral constructs often utilized in prevention science. The current paper addressed this gap by providing methodological guidance and a case illustration focused on harmonizing measures of disparately conceptualized and operationalized constructs. We do so by outlining a five-phased harmonization approach paired with an illustrative example of the approach as applied to harmonization of broadband latent emotional and behavioral health constructs assessed with different measures across studies. This approach builds on and expands upon procedures currently recommended in the IDA literature with parallels to best practices in test development procedures. The illustrative example of our phased approach is drawn from an IDA study of 11 randomized controlled trials of Coping Power (Lochman & Wells, 2004), an evidence-based preventive intervention. We demonstrate the harmonization of two constructs, internalizing and externalizing problems, as harmonized across the teacher-reported scales of the Achenbach System of Empirically Based Assessment (Achenbach, 1991a) and the Behavior Assessment System for Children (Reynolds & Kamphaus, 2004). Finally, we consider the potential strengths and limitations of this phased approach, underscoring areas for future methodological research and conclude with some recommendations.

Indexed as

Adaptation, PsychologicalEmotionsChildData AnalysisHumansRandomized Controlled Trials as TopicAssessmentHarmonizationIntegrative data analysisMeasurementRandomized controlled trials

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.