Quantifying Research Domain Criteria Social Communication Subconstructs Using the Social Communication Questionnaire in Youth

被引:25
作者
Uljarevic, Mirko [1 ,3 ]
Frazier, Thomas W. [2 ]
Phillips, Jennifer M. [1 ]
Jo, Booil [1 ]
Littlefield, Sandy [1 ]
Hardan, Antonio Y. [1 ]
机构
[1] Stanford Univ, Dept Psychiat & Behav Sci, 401 Quarry Rd, Stanford, CA 94305 USA
[2] Autism Speaks, New York, NY USA
[3] Univ Melbourne, Fac Med Dent & Hlth, Melbourne Sch Psychol Sci, Melbourne, Vic, Australia
基金
澳大利亚研究理事会;
关键词
AUTISTIC TRAITS; LATENT CLASS; PSYCHOPATHOLOGY; CHILDREN; BRAIN; RISK;
D O I
10.1080/15374416.2019.1669156
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Research Domain Criteria (RDoC) has posited a set of social dimensions that could be useful in identifying sources of individual variation in social impairments across neurodevelopmental disorders. The current investigation aimed to derive estimates of the RDoC social constructs from the Social Communication Questionnaire (SCQ) and examine whether RDoC social processes, as captured by the SCQ, are best represented by a dimensional, categorical, or hybrid model. Individual SCQ items from 4 databases were combined resulting in a total of 26,407 individuals (M-age = 8.13 years, SDage = 4.19; 69.1% male). The sample consisted of 60.0% of individuals with autism spectrum disorder (ASD), 6.8% with a range of neurodevelopmental disorders and 33.2% of siblings of individuals with ASD. Comparison of a range of factor solutions through the use of exploratory structural equation modeling and confirmatory factor analysis indicated that a 3-factor structure with separate attachment and affiliation, production of nonfacial and facial communication factors provided excellent fit to the data (comparative fit index = .989, Tucker-Lewis index = .984, root mean square error of approximation = .045). and robustness across clinical groups, age, sex, and verbal status. Comparison between the best-fitting factor analysis, latent class analysis, and factor mixture analysis solutions demonstrated that the RDoC social processes domain is best represented as dimensional. Our findings show promise for capturing some of the important RDoC social constructs using the SCQ but also highlight crucial areas for the development of new, dedicated dimensional measures.
引用
收藏
页码:609 / 618
页数:10
相关论文
共 37 条
[1]   The Social Brain: Neural Basis of Social Knowledge [J].
Adolphs, Ralph .
ANNUAL REVIEW OF PSYCHOLOGY, 2009, 60 :693-716
[2]   An open resource for transdiagnostic research in pediatric mental health and learning disorders [J].
Alexander, Lindsay M. ;
Escalera, Jasmine ;
Ai, Lei ;
Andreotti, Charissa ;
Febre, Karina ;
Mangone, Alexander ;
Vega-Potler, Natan ;
Langer, Nicolas ;
Alexander, Alexis ;
Kovacs, Meagan ;
Litke, Shannon ;
O'Hagan, Bridget ;
Andersen, Jennifer ;
Bronstein, Batya ;
Bui, Anastasia ;
Bushey, Marijayne ;
Butler, Henry ;
Castagna, Victoria ;
Camacho, Nicolas ;
Chan, Elisha ;
Citera, Danielle ;
Clucas, Jon ;
Cohen, Samantha ;
Dufek, Sarah ;
Eaves, Megan ;
Fradera, Brian ;
Gardner, Judith ;
Grant-Villegas, Natalie ;
Green, Gabriella ;
Gregory, Camille ;
Hart, Emily ;
Harris, Shana ;
Horton, Megan ;
Kahn, Danielle ;
Kabotyanski, Katherine ;
Karmel, Bernard ;
Kelly, Simon P. ;
Kleinman, Kayla ;
Koo, Bonhwang ;
Kramer, Eliza ;
Lennon, Elizabeth ;
Lord, Catherine ;
Mantello, Ginny ;
Margolis, Amy ;
Merikangas, Kathleen R. ;
Milham, Judith ;
Minniti, Giuseppe ;
Neuhaus, Rebecca ;
Levine, Alexandra ;
Osman, Yael .
SCIENTIFIC DATA, 2017, 4
[3]   Validity of the social communication questionnaire in assessing risk of autism in preschool children with developmental problems [J].
Allen, C. W. ;
Silove, N. ;
Williams, K. ;
Hutchins, P. .
JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS, 2007, 37 (07) :1272-1278
[4]  
[Anonymous], 2016, IBM SPSS STAT WIND V
[5]  
[Anonymous], 2016, Behavioral Assessment Methods for RDoC Constructs
[6]   Exploratory Structural Equation Modeling [J].
Asparouhov, Tihomir ;
Muthen, Bengt .
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2009, 16 (03) :397-438
[7]   Autism screening questionnaire: diagnostic validity [J].
Berument, SK ;
Rutter, M ;
Lord, C ;
Pickles, A ;
Bailey, A .
BRITISH JOURNAL OF PSYCHIATRY, 1999, 175 :444-451
[8]   The p Factor: One General Psychopathology Factor in the Structure of Psychiatric Disorders? [J].
Caspi, Avshalom ;
Houts, Renate M. ;
Belsky, Daniel W. ;
Goldman-Mellor, Sidra J. ;
Harrington, HonaLee ;
Israel, Salomon ;
Meier, Madeline H. ;
Ramrakha, Sandhya ;
Shalev, Idan ;
Poulton, Richie ;
Moffitt, Terrie E. .
CLINICAL PSYCHOLOGICAL SCIENCE, 2014, 2 (02) :119-137
[9]   Models and Strategies for Factor Mixture Analysis: An Example Concerning the Structure Underlying Psychological Disorders [J].
Clark, Shaunna L. ;
Muthen, Bengt ;
Kaprio, Jaakko ;
D'Onofrio, Brian M. ;
Viken, Richard ;
Rose, Richard J. .
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 2013, 20 (04) :681-703
[10]  
Constantino J.N., 2012, SOCIAL RESPONSIVENES, V2