• search hit 3 of 5
Back to Result List

Prediction of child and adolescent outcomes with broadband and narrowband dimensions of internalizing and externalizing behavior using the child and adolescent version of the Strengths and Difficulties Questionnaire

  • The Strengths and Difficulties Questionnaire (SDQ) is a frequently used screening instrument for behavioral problems in children and adolescents. There is an ongoing controversy—not only in educational research—regarding the factor structure of the SDQ. Research results speak for a 3-factor as well as a 5-factor structure. The narrowband scales (5-factor structure) can be combined into broadband scales (3-factor structure). The question remains: Which factors (narrowband vs. broadband) are better predictors? With the prediction of child and adolescent outcomes (academic grades, well-being, and self-belief), we evaluated whether the broadband scales of internalizing and externalizing behavior (3-factor structure) or narrowband scales of behavior (5-factor structure) are better suited for predictive purposes in a cross-sectional study setting. The sample includes students in grades 5 to 9 (N = 4642) from the representative German Health Interview and Examination Survey for Children and Adolescents (KiGGS study). The results of modelThe Strengths and Difficulties Questionnaire (SDQ) is a frequently used screening instrument for behavioral problems in children and adolescents. There is an ongoing controversy—not only in educational research—regarding the factor structure of the SDQ. Research results speak for a 3-factor as well as a 5-factor structure. The narrowband scales (5-factor structure) can be combined into broadband scales (3-factor structure). The question remains: Which factors (narrowband vs. broadband) are better predictors? With the prediction of child and adolescent outcomes (academic grades, well-being, and self-belief), we evaluated whether the broadband scales of internalizing and externalizing behavior (3-factor structure) or narrowband scales of behavior (5-factor structure) are better suited for predictive purposes in a cross-sectional study setting. The sample includes students in grades 5 to 9 (N = 4642) from the representative German Health Interview and Examination Survey for Children and Adolescents (KiGGS study). The results of model comparisons (broadband scale vs. narrowband scales) did not support the superiority of the broadband scales with regard to the prediction of child and adolescent outcomes. There is no benefit from subsuming narrowband scales (5-factor structure) into broadband scales (3-factor structure). The application of narrowband scales, providing a more differentiated picture of students’ academic and social situation, was more appropriate for predictive purposes. For the purpose of identifying students at risk of struggling in educational contexts, using the set of narrowband dimensions of behavior seems to be more suitable.show moreshow less

Download full text files

  • phr669.pdfeng
    (530KB)

    SHA-1: f307e45951f0ed8b6fefa0d438d17a27b3e72eb2

Export metadata

Additional Services

Search Google Scholar Statistics
Metadaten
Author details:Pawel R. KulawiakORCiDGND, Jürgen WilbertORCiDGND, Robert SchlackORCiD, Moritz Börnert-RinglebGND
URN:urn:nbn:de:kobv:517-opus4-485156
DOI:https://doi.org/10.25932/publishup-48515
ISSN:1866-8364
Title of parent work (German):Postprints der Universität Potsdam : Humanwissenschaftliche Reihe
Publication series (Volume number):Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe (669)
Publication type:Postprint
Language:English
Date of first publication:2020/12/05
Publication year:2020
Publishing institution:Universität Potsdam
Release date:2020/12/05
Tag:academic-achievement; comorbidity; conduct problems; developmental trajectories; emotional difficulties; hyperactivity; parent; psychometric properties; sdq; validation
Issue:669
Number of pages:19
Source:PLoS ONE 15(2020) 10 Art. e0240312 DOI: 10.1371/journal.pone.0240312
Organizational units:Humanwissenschaftliche Fakultät / Strukturbereich Bildungswissenschaften
DDC classification:5 Naturwissenschaften und Mathematik / 50 Naturwissenschaften / 500 Naturwissenschaften und Mathematik
6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Peer review:Referiert
Publishing method:Open Access / Green Open-Access
License (German):License LogoCC-BY - Namensnennung 4.0 International
External remark:Bibliographieeintrag der Originalveröffentlichung/Quelle
Accept ✔
This website uses technically necessary session cookies. By continuing to use the website, you agree to this. You can find our privacy policy here.