Measurement bias in caregiver-report of early childhood behavior problems across demographic factors in an ECHO-wide diverse sample.

behavior problems behavioral measures pre‐school children psychometrics

Journal

JCPP advances
ISSN: 2692-9384
Titre abrégé: JCPP Adv
Pays: United States
ID NLM: 9918250414706676

Informations de publication

Date de publication:
Mar 2024
Historique:
received: 13 01 2023
accepted: 11 08 2023
medline: 15 3 2024
pubmed: 15 3 2024
entrez: 15 3 2024
Statut: epublish

Résumé

Research and clinical practice rely heavily on caregiver-report measures, such as the Child Behavior Checklist 1.5-5 (CBCL/1.5-5), to gather information about early childhood behavior problems and to screen for child psychopathology. While studies have shown that demographic variables influence caregiver ratings of behavior problems, the extent to which the CBCL/1.5-5 functions equivalently at the item level across diverse samples is unknown. Item-level data of CBCL/1.5-5 from a large sample of young children ( Items with the most impactful DIF across child and caregiver groupings were identified for Internalizing, Externalizing, and Total Problems. The robust item sets, excluding the high DIF items, showed good reliability and high correlation with the original Internalizing and Total Problems scales, with lower reliability for Externalizing. Language version of CBCL administration, education level and sex of the caregiver respondent showed the most significant impact on MI, followed by child age. Sensitivity analyses revealed that child race has a unique impact on DIF over and above socioeconomic status. The CBCL/1.5-5, a caregiver-report measure of early childhood behavior problems, showed bias across demographic groups. Robust item sets with less DIF can measure Internalizing and Total Problems equally as well as the full item sets, with slightly lower reliability for Externalizing, and can be crosswalked to the metric of the full item set, enabling calculation of normed T scores based on more robust item sets.

Sections du résumé

Background UNASSIGNED
Research and clinical practice rely heavily on caregiver-report measures, such as the Child Behavior Checklist 1.5-5 (CBCL/1.5-5), to gather information about early childhood behavior problems and to screen for child psychopathology. While studies have shown that demographic variables influence caregiver ratings of behavior problems, the extent to which the CBCL/1.5-5 functions equivalently at the item level across diverse samples is unknown.
Methods UNASSIGNED
Item-level data of CBCL/1.5-5 from a large sample of young children (
Results UNASSIGNED
Items with the most impactful DIF across child and caregiver groupings were identified for Internalizing, Externalizing, and Total Problems. The robust item sets, excluding the high DIF items, showed good reliability and high correlation with the original Internalizing and Total Problems scales, with lower reliability for Externalizing. Language version of CBCL administration, education level and sex of the caregiver respondent showed the most significant impact on MI, followed by child age. Sensitivity analyses revealed that child race has a unique impact on DIF over and above socioeconomic status.
Conclusions UNASSIGNED
The CBCL/1.5-5, a caregiver-report measure of early childhood behavior problems, showed bias across demographic groups. Robust item sets with less DIF can measure Internalizing and Total Problems equally as well as the full item sets, with slightly lower reliability for Externalizing, and can be crosswalked to the metric of the full item set, enabling calculation of normed T scores based on more robust item sets.

Identifiants

pubmed: 38486952
doi: 10.1002/jcv2.12198
pii: JCV212198
pmc: PMC10933609
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e12198

Informations de copyright

© 2023 The Authors. JCPP Advances published by John Wiley & Sons Ltd on behalf of Association for Child and Adolescent Mental Health.

Déclaration de conflit d'intérêts

The authors have declared that they have no competing or potential conflicts of interest.

Auteurs

Shuting Zheng (S)

Department of Psychiatry and Behavioral Sciences University of California San Francisco CA USA.

Maxwell Mansolf (M)

Department of Medical Social Sciences Feinberg School of Medicine Northwestern University Chicago IL USA.

Monica McGrath (M)

Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD USA.

Marie L Churchill (ML)

Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD USA.

Traci A Bekelman (TA)

Department of Epidemiology Colorado School of Public Health Aurora CO USA.

Patricia A Brennan (PA)

Department of Psychology Emory University Atlanta GA USA.

Amy E Margolis (AE)

Department of Psychiatry Columbia University Irving Medical Center New York State Psychiatric Institute New York NY USA.

Sara S Nozadi (SS)

Community Environmental Health College of Pharmacy Health Sciences Center University of New Mexico Albuquerque NM USA.

Theresa M Bastain (TM)

Department of Population and Public Health Sciences University of Southern California Los Angeles CA USA.

Amy J Elliott (AJ)

Avera Research Institute Sioux Falls SD USA.

Kaja Z LeWinn (KZ)

Department of Psychiatry and Behavioral Sciences University of California San Francisco CA USA.

Julie A Hofheimer (JA)

Department of Pediatrics Division of Neonatal-Perinatal Medicine North Carolina at Chapel Hill Chapel Hill NC USA.

Leslie D Leve (LD)

Prevention Science Institute University of Oregon Eugene OR USA.

Brandon Rennie (B)

Health Sciences Center Department of Pediatrics Center for Development and Disability University of New Mexico Navajo Birth Cohort Study Albuquerque NM USA.

Emily Zimmerman (E)

Communication Sciences & Disorders Northeastern University Boston MA USA.

Carmen A Marable (CA)

School of Medicine University of North Carolina at Chapel Hill Neuroscience Curriculum Chapel Hill NC USA.

Cindy T McEvoy (CT)

Department of Pediatrics Pape Pediatric Research Institute Oregon Health & Science University Portland OR USA.

Chang Liu (C)

Department of Psychology Washington State University Pullman WA USA.

Alexis Sullivan (A)

Center for Health and Community University of California San Francisco CA USA.

Tracey J Woodruff (TJ)

Department of Psychiatry and Behavioral Sciences University of California San Francisco CA USA.

Samiran Ghosh (S)

Department of Biostatistics and Data Science & Coordinating Center for Clinical Trials (CCCT) University of Texas School of Public Health Houston TX USA.

Bennett Leventhal (B)

University of Chicago Navajo Birth Cohort Study University of New Mexico Albuquerque NM USA.

Assiamira Ferrara (A)

Division of Research Kaiser Permanente Northern California Oakland CA USA.

Johnnye Lewis (J)

Navajo Birth Cohort Study Community Environmental Health Program College of Pharmacy University of New Mexico Albuquerque NM USA.

Somer Bishop (S)

Department of Psychiatry and Behavioral Sciences Weill Institute for Neurosciences University of California San Francisco CA USA.

Classifications MeSH