Measurement Equivalence of the Autism Symptom Phenotype in Children and Youth

Autor/inn/en	Duku, Eric; Szatmari, Peter; Vaillancourt, Tracy; Georgiades, Stelios; Thompson, Ann; Liu, Xiao-Qing; Paterson, Andrew D.; Bennett, Terry
Titel	Measurement Equivalence of the Autism Symptom Phenotype in Children and Youth
Quelle	In: Journal of Child Psychology and Psychiatry, 54 (2013) 12, S.1346-1355 (10 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0021-9630
DOI	10.1111/jcpp.12103
Schlagwörter	Genetics; Autism; Pervasive Developmental Disorders; Diagnostic Tests; Clinical Diagnosis; Symptoms (Individual Disorders); Age Differences; Gender Differences; Verbal Ability; Nonverbal Ability; Alternative Assessment; Measurement Techniques; Goodness of Fit; Consortia; Factor Analysis; Children; Adolescents + Suchen Sie Ihr Suchwort? Humangenetik; Autismus; Diagnostic test; Diagnostischer Test; Psychiatrische Symptomatik; Age; Difference; Age difference; Altersunterschied; Geschlechterkonflikt; Mündliche Leistung; Messtechnik; Vereinigung; Faktorenanalyse; Child; Kind; Kinder; Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher
Abstract	Background: The Autism Diagnostic Interview-Revised (ADI-R) is a gold standard assessment of Autism Spectrum Disorder (ASD) symptoms and behaviours. A key underlying assumption of studies using the ADI-R is that it measures the same phenotypic constructs across different populations (i.e. males/females, younger/older, verbal/nonverbal). The objectives of this study were to evaluate alternative measurement models for the autism symptom phenotype based on the ADI-R algorithm items and to examine the measurement equivalence of the most parsimonious and best fitting model across subgroups of interest. Methods: Data came from the Autism Genome Project consortium and consisted of 3,628 children aged 4-18 years (84.2% boys and 75% verbal). Twenty-eight algorithm items applicable to both verbal and nonverbal participants were used in the analysis. Measurement equivalence of the autism phenotype was examined using categorical confirmatory factor analysis. Results: A second-order model resembling the proposed DSM-5 two-factor structure of the phenotype showed good overall fit, but not for all the subgroups. The autism symptom phenotype was best indexed by the first-order, six-factor measurement model proposed by Liu et al. (2011). This model was well fitting and measurement equivalent across subgroups of participants (age, verbal ability and sex). Conclusions: The autism symptom phenotype is adequately characterized by a six-factor measurement model; this model appears to be measurement equivalent across subgroups of children and youth with ASD that differ in age, sex and verbal ability. The two-factor model provides equally good fit for the sample as a whole, but comparison of these two dimensions between subgroups that might differ in terms of age, sex or verbal ability is challenged by lack of measurement equivalence. (As Provided).
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Update	2017/4/10