TY - JOUR
T1 - The CBCL/1½–5’s DSM-ASD Scale
T2 - confirmatory factor analyses across 24 societies
AU - the International ASEBA Consortium
AU - Rescorla, Leslie A.
AU - Adams, Allison
AU - Ivanova, Masha Y.
AU - Bilenberg, Niels
AU - Bjarnadottir, Gudrun
AU - Capron, Christiane
AU - De Pauw, Sarah
AU - Dias, Pedro
AU - Dobrean, Anca
AU - Döpfner, Manfred
AU - Duyme, Michel
AU - Eapen, Valsamma
AU - Erol, Nese
AU - Esmaeili, Elaheh
AU - Ezpeleta, Lourdes
AU - Frigerio, Alessandra
AU - Fung, Daniel S.S.
AU - Gonçalves, Miguel
AU - Guðmundsson, Halldór
AU - Jeng, Suh Fang
AU - Jusiene, Roma
AU - Kim, Young Ah
AU - Kristensen, Solveig
AU - Liu, Jianghong
AU - Lecannelier, Felipe
AU - Leung, Patrick
AU - Machado, Bárbara César
AU - Montirosso, Rosario
AU - Oh, Kyung Ja
AU - Ooi, Yoon Phaik
AU - Plück, Julia
AU - Pomalima, Rolando
AU - Pranvera, Jetishi
AU - Shahini, Mimoza
AU - Silva, Jaime
AU - Simsek, Zeynep
AU - Sourander, Andre
AU - Valverde, José
AU - van der van der, Jan
AU - Van Leeuwen, Karla
AU - Wu, Yen Tzu
AU - Yurdusen, Sema
AU - Zubrick, Stephen R.
AU - Verhulst, Frank C.
N1 - Funding Information:
Members of the International ASEBA Consortium: Niels Bilenberg?University of Southern Denmark; Gudrun Bjarnadottir?Glaesibaer Health Clinic, Iceland; Christiane Capron?University of Montpellier, France; Sarah De Pauw?Ghent University, Belgium; Pedro Dias?Portuguese Catholic University; Anca Dobrean?Babes-Bolyai University, Romania; Manfred D?pfner?University of Cologne, Germany; Michel Duyme?University of Montpellier, France; Valsamma Eapen?University of New South Wales, Australia; Nese Erol?Ankara University, Turkey; Elaheh Esmaeili?Tehran Institute for Exceptional Children, Iran; Lourdes Ezpeleta?Universitat Aut?noma de Barcelona, Spain; Alessandra Frigerio?Scientific Institute E. Medea, Italy; Daniel S.S. Fung?Institute of Mental Health, Singapore; Miguel Gon?alves?University of Minho, Portugal; Halld?r Gu?mundsson?University of Iceland; Suh-Fang Jeng?National Taiwan University; Roma Jusiene?Vilnius University; Young-Ah Kim ?Huno Consulting, Korea; Solveig Kristensen?University of Southern Denmark; Jianghong Liu?University of Pennsylvania; Felipe Lecannelier?Universidad del Desarrollo, Chile; Patrick Leung?Chinese University of Hong Kong; B?rbara C?sar Machado?Portuguese Catholic University; Rosario Montirosso?Scientific Institute E. Medea, Italy; Kyung-Ja Oh?Yonsei University, Korea; Yoon Phaik Ooi?Institute of Mental Health, Singapore; Julia Pl?ck?University of Cologne, Germany; Rolando Pomalima?Peruvian National Institute of Mental Health,; Jetishi Pranvera?University of Dardania; Mimoza Shahini?University Clinical Center of Kosovo; Jaime Silva -Universidad de la Frontera; Zeynep Simsek?Harran University; Andre Sourander?Turku University and Turku University Hospital; Jos? Valverde?Peruvian National Institute of Mental Health,; Jan van der Ende?Erasmus University Medical Center-Sophia?s Children?s Hospital; Karla Van Leeuwen?Leuven University; Yen-Tzu Wu?National Taiwan University; Sema Yurdusen?Middle East Technical University; Stephen R. Zubrick?Curtin Centre for Developmental Research, Curtin University of Technology; Frank C. Verhulst?Erasmus University Medical Center-Sophia?s Children?s Hospital.
Publisher Copyright:
© 2019, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - Previous research supports the CBCL/1½–5’s DSM-ASD scale (and its precursor, the DSM-PDP scale) as a Level 1 ASD screener. Confirmatory factor analyses (CFAs) with data from population samples in 24 societies (N = 19,850) indicated good measurement invariance across societies, especially for configural and metric invariance. Items 4. 25, 67, 80, and 98 may be especially good discriminators of ASD because they have tend to have low base rates, strong loadings on the ASD latent construct, and the best measurement invariance across societies. Further research is needed to test the discriminative power of these items in predicting ASD, but our strong measurement findings support the international psychometric robustness of the CBCL/1½–5’s DSM-ASD scale.
AB - Previous research supports the CBCL/1½–5’s DSM-ASD scale (and its precursor, the DSM-PDP scale) as a Level 1 ASD screener. Confirmatory factor analyses (CFAs) with data from population samples in 24 societies (N = 19,850) indicated good measurement invariance across societies, especially for configural and metric invariance. Items 4. 25, 67, 80, and 98 may be especially good discriminators of ASD because they have tend to have low base rates, strong loadings on the ASD latent construct, and the best measurement invariance across societies. Further research is needed to test the discriminative power of these items in predicting ASD, but our strong measurement findings support the international psychometric robustness of the CBCL/1½–5’s DSM-ASD scale.
KW - Autism spectrum disorders (ASD)
KW - CBCL/1½–5
KW - Confirmatory factor analysis (CFA)
KW - International
KW - Preschool
UR - http://www.scopus.com/inward/record.url?scp=85074018133&partnerID=8YFLogxK
U2 - 10.1007/s10803-019-04189-5
DO - 10.1007/s10803-019-04189-5
M3 - Article
C2 - 31559509
AN - SCOPUS:85074018133
SN - 0162-3257
VL - 50
SP - 3326
EP - 3340
JO - Journal of Autism and Developmental Disorders
JF - Journal of Autism and Developmental Disorders
IS - 9
ER -