Linking the Child Behavior Checklist (CBCL) with the Multidimensional Assessment Profile of Disruptive Behavior (MAP-DB): Advancing a dimensional spectrum approach to disruptive behavior.
Assessment
CBCL
Deming Regression
Developmental psychopathology
Disruptive Behavior
Item Response Theory
Linking
MAP-DB
Journal
Journal of child and family studies
ISSN: 1062-1024
Titre abrégé: J Child Fam Stud
Pays: United States
ID NLM: 9214438
Informations de publication
Date de publication:
Feb 2019
Feb 2019
Historique:
entrez:
28
8
2019
pubmed:
28
8
2019
medline:
28
8
2019
Statut:
ppublish
Résumé
Disruptive behavior in childhood is common. It spans from normative child misbehaviors to clinically-significant and impairing problems. While there are many rating scales evaluating such behaviors, historically, measurement has emphasized counting the number of symptoms present rather than assessing the normal-abnormal spectrum of behavioral expression. This study uses data from 644 early school age children aggregated from two data sources to statistically link a commonly used symptom count measure, the Child Behavior Checklist (CBCL), to a more developmentally-sensitive measure, the Multidimensional Assessment Profile of Disruptive Behavior (MAP-DB). Two links between conceptually similar scales on each measure were developed: CBCL Conduct Problems and MAP-DB Aggression; and CBCL Oppositional Defiant Problems and MAP-DB Temper Loss. We compared two innovative methods-Item Response Theory (IRT) and Deming regression-to determine the optimal linking relationship. Results suggest IRT methods were superior in reducing linking error compared to Deming regression. While Deming regression accurately modeled the mean scores (thus minimizing linking bias), this method could not adequately address the floor effect for scores on the CBCL. For practical purposes, this study provides a crosswalk of score conversions between the CBCL and MAP-DB, such that data aggregation and group comparisons can be made across the two measures; this enables longitudinal analyses with historically-collected CBCL data to transition to the more innovative dimensional scales of the MAP-DB without undo loss of extant data. This study furthers efforts to shift from historical symptom counts to more developmentally-sensitive measurement across the disruptive behaviors spectrum.
Identifiants
pubmed: 31452592
doi: 10.1007/s10826-018-1272-4
pmc: PMC6709983
mid: NIHMS1509905
doi:
Types de publication
Journal Article
Langues
eng
Pagination
343-353Subventions
Organisme : NIMH NIH HHS
ID : U01 MH082830
Pays : United States
Organisme : NIH HHS
ID : U24 OD023319
Pays : United States
Organisme : NIMH NIH HHS
ID : K01 MH094467
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH082830
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH107540
Pays : United States
Déclaration de conflit d'intérêts
Conflict of Interest: The authors declare that they have no conflict of interest.
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