Abstract
Confirmatory factor analysis (CFA) and exploratory and factor analysis (EFA) aimed to determine the optimum Autism Spectrum Quotient—Children (AQ-Child) model. Initial CFA of parent ratings of the AQ-Child for 404 clinic-referred children with ADHD, aged between 4 and 11 years, revealed mixed/moderate support for the implied AQ-Child five-factor model and the past statistically supported four-factor model (Auyeung et al., J Autism Dev Disord 38:1230–1240, 2008). Interestingly, EFA findings indicated most support for a four-factor model, with factors reflecting “mind-reading”, “social skills”, “attention to details”, and “imagination”. The items loading in these factors were different from those proposed originally for similar factors (Auyeung et al., J Autism Dev Disord 38:1230–1240, 2008). The factors in the model showed acceptable internal consistency-reliability and discriminant validity. Clinical and research implications are discussed.
Similar content being viewed by others
References
Achenbach, T. M., Becker, A., Dopfner, M., et al. (2008). Multicultural assessment of child and adolescent psychopathology with ASEBA and SDQ instruments: Research findings, applications, and future directions. Journal of Child Psychology and Psychiatry, 49, 251–275.
Achenbach, T. M., & Rescorla, L. A. (2001). Manual for the ASEBA school-age forms and profiles. Burlington: University of Vermont Research Center for Children, Youth and Families.
American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorder (4th edn.). Washington, DC: American Psychiatric Association.
American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorder (4th edn.). Text revision). Washington, DC: American Psychiatric Association.
American Psychiatric Association. (2003). Diagnostic and statistical manual of mental disorders: DSM-IVTR. Washington, DC: American Psychiatric Association.
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorder (5th edn.). Washington, DC: American Psychiatric Association.
Austin, E. J. (2005). Personality correlates of the broader autism phenotype as assessed by the Autism Spectrum Quotient (AQ). Personality and Individual Differences, 38, 451–460. https://doi.org/10.1016/j.paid.2004.04.022.
Auyeung, B., Baron-Cohen, S., Wheelwright, S., & Allison, C. (2008). The Autism Spectrum Quotient: Children’s Version (AQ-Child). Journal of Autism and Developmental Disorders, 38, 1230–1240. https://doi.org/10.1007/s10803-007-0504-z.
Baron-Cohen, S. (2008b). Autism, hypersystemizing, and truth. Quarterly Journal of Experimental Psychology, 61, 64–75.
Baron-Cohen, S., Hoekstra, R., Knickmeyer, R., & Wheelwright, S. (2006). The Autism Spectrum Quotient (AQ)—Adolescent version. Journal of Autism and Developmental Disorders, 36, 343–350. https://doi.org/10.1007/s10803-006-0073-6.
Baron-Cohen, S., Wheelwright, S., Skinner, R., Martin, J., & Clubley, E. (2001). The Autism- Spectrum Quotient (AQ): Evidence from Asperger syndrome/high functioning autism, males and females, scientists and mathematicians. Journal of Autism and Developmental Disorders, 31, 5–17. https://doi.org/10.1023/A:1005653411471.
Beauducel, A., & Herzberg, P. Y. (2006). On the performance of maximum likelihood versus means and variance adjusted weighted least squares estimation in CFA. Structural Equation Modeling, 13(2), 186–203. https://doi.org/10.1207/s15328007sem1302_2.
Biederman, J., Carter, R. P., Fried, R., et al. (2010). Child behavior checklist clinical scales discriminate referred youth with autism spectrum disorder: A preliminary study. Journal of Developmental and Behavioral Pediatrics, 31, 485–490.
Bölte, S., Dickhut, H., & Poustka, F. (1999). Patterns of parent-reported problems indicative in autism. Psychopathology, 32, 93–97.
Broderick, N., Wade, J. L., Meyer, J. P., Hull, M., & Reeve, R. E. (2015). Model invariance across genders of the Broad Autism Phenotype Questionnaire. Journal of Autism and Developmental Disorders, 45, 3133–3147. https://doi.org/10.1007/s10803-015-2472-z.
Brown, T. A. (2006). Data issues in CFA: Missing, non-normal, and categorical data. Confirmatory Factor Analysis For Applied Research, 363, 411.
Brown, T. A. (2014). Confirmatory factor analysis for applied research. New York; Guilford Publications.
Conners, C. K. (2008). Conners’ (3rd Edition). North Tonawanda: Multi-Health Systems.
Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research & Evaluation, 10(7), 1–9.
Cumming, G. (2009). Inference by eye: Reading the overlap of independent confidence intervals. Statistics in Medicine, 28, 205–220.
Duarte, C. S., Bordin, I. A. S., de Oliveira, A., & Bird, H. (2003). The CBCL and the identification of children with autism and related conditions in Brazil: Pilot findings. Journal of Autism and Developmental Disorders, 33, 703–707.
Gargaro, B. A., Rinehart, N. J., Bradshaw, J. L., Tonge, B. J., & Sheppard, D. M. (2011). Autism and ADHD: How far have we come in the comorbidity debate? Neuroscience & Biobehavioral Reviews, 35, 1081–1088.
Grills, A. E., & Ollendick, T. H. (2003). Multiple informant agreement and the anxiety disorders interview schedule for parents and children. Journal of the American Academy of Child & Adolescent Psychiatry, 42(1), 30–40. https://doi.org/10.1097/00004583-200301000-00008.
Hartini, S., Herini, E. S., & Takada, S. (2016). Usefulness of CBCL/6–18 to evaluate emotional and behavioral problems in Indonesian autism spectrum disorder children. Pediatrics International, 58, 1307–1310.
Havdahl, K. A., Tetzchner, S., Huerta, M., Lord, C., & Bishop, L. (2016). Utility of the child behavior checklist as a screener for autism spectrum disorder. Autism Research, 9, 33–42. https://doi.org/10.1002/aur.1515.
Hoekstra, R., Bartels, M., Cath, D. C., & Boomsma, D. I. (2008). Factor structure, reliability and criterion validity of the Autism-Spectrum Quotient (AQ): A Study in Dutch Population and Patient Groups. Journal of Autism and Developmental Disorders, 38, 1555–1566. https://doi.org/10.1007/s10803-008-0538-x.
Hoffmann, W., Weber, L., Konig, U., Becker, K., & Kamp-Becker, l (2016). The role of the CBCL in the assessment of autism spectrum disorders: An evaluation of symptom profiles and screening characteristic. Research in Autism Spectrum Disorders, 27, 44–53.
Hu, L. T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424. https://doi.org/10.1037/1082-989X.3.4.424.
Hurst, R. M., Mitchell, J. T., Kimbrel, N. A., Kwapil, T. K., & Nelson-Gray, R. O. (2007). Examination of the reliability and factor structure of the Autism Spectrum Quotient (AQ) in a non-clinical sample. Personality and Individual Differences, 43, 1938–1949. https://doi.org/10.1016/j.paid.2007.06.012.
Jensen, P. S., Rubio-Stipec, M., Canino, G., Bird, H. R., Dulcan, M. K., Schwab-Stone, M. E., & Lahey, B. B. (1999). Parent and child contributions to diagnosis of mental disorder: are both informants always necessary? Journal of the American Academy of Child & Adolescent Psychiatry, 38(12), 1569–1579. https://doi.org/10.1097/00004583-199912000-00019.
Jensen, V. K., Larrieu, J. A., & Mack, K. K. (1997). Differential diagnosis between attention-deficit/hyperactivity disorder and pervasive developmental disorder–not otherwise specified.. Clinical Pediatrics, 36, 555–561. https://doi.org/10.1177/000992289703601001.
Kloosterman, P. H., Keefer, K. V., Kelley, E. A., Summerfeldt, L. J., & Parker, J. D. A. (2011). Evaluation of the factor structure of the Autism-Spectrum Quotient. Personality and Individual Differences, 50, 310–314. https://doi.org/10.1016/j.ridd.2012.08.005.
Lau, W. Y., Gau, S. S., Chiu, Y. N., Wu, Y. Y., Chou, W. J., Liu, S. K., & Chou, M. C. (2013b). Psychometric properties of the Chinese version of the Autism Spectrum Quotient (AQ). Research in Developmental Disabilities, 34, 294–305. https://doi.org/10.1016/j.ridd.2012.08.005.
Lau, W. Y. P., Kelly, A. B., & Peterson, C. C. (2013a). Further evidence on the factorialstructure of the Autism Spectrum Quotient (AQ) for adults with and without a clinical diagnosis of autism. Journal of Autism and Developmental Disorder, 43, 2807–2815. https://doi.org/10.1007/s10803-013-1827-6.
Leyfer, O. T., Folstein, S. E., Bacalman, S., Davis, N. O., Dinh, E., Morgan, J.,.. . Lainhart, J. E. (2006). Comorbid psychiatric disorders in children with autism: Interview development and rates of disorders. Journal of Autism and Developmental Disorders, 36, 849–861.
Lorenzo-Seva, U., & Ferrando, P. J. (2006). FACTOR: A computer program to fit the exploratory factor analysis model. Behavior Research Methods, 38, 88–91.
Lubke, G. H., & Muthén, B. O. (2004). Applying multigroup confirmatory factor models for continuous outcomes to Likert scale data complicates meaningful group comparisons. Structural Equation Modeling, 11, 514–534. https://doi.org/10.1207/s15328007sem1104_2.
Matson, J. L., Rieske, R. D., & Williams, L. W. (2013). The relationship between autism spectrum disorders and attention-deficit/hyperactivity disorder: An overview. Research in Developmental Disabilities, 34, 2475–2484.
Mazefsky, C. A., Anderson, R., Conner, C. M., & Minshew, N. (2011). Child Behavior Checklist scores for school-aged children with autism: Preliminary evidence of patterns suggesting the need for referral. Psychopathology and Behavioral Assessment, 33, 31–37. https://doi.org/10.1007/s10862-010-9198-1.
McDonald, R. P. (1999). Test theory: A unified approach. Mahwah: Erlbaum.
Millsap, R. E., & Yun-Tein, J. (2004). Assessing factorial invariance in ordered-categorical measures. Multivariate Behavioral Research, 39, 479–515. https://doi.org/10.1207/S15327906MBR3903_4.
Muñiz, J. (2008). The Role of EFPA in setting standards for tests and test use. Paper presented at the 6th Conference of the International Test Commission, Liverpool, UK.
Muthén, B., & Asparouhov, T. (2015). Growth mixture modeling with non-normal distributions. Statistics in medicine, 34(6), 1041–1058. https://doi.org/10.1002/sim.6388.
Muthén, L. K., & Muthén, B. O. (2013). Mplus 7.11. Los Angeles: Muthén & Muthén.
Norris, M., & Lecavalier, L. (2010). Evaluating the use of exploratory factor analysis in developmental disability psychological research. Journal of Autism and Developmental Disorders, 40, 8–20.
Nunnaly, J. (1978). Psychometric theory. New York: McGraw-Hill.
Nye, C. D., & Drasgow, F. (2011). Assessing goodness of fit: Simple rules of thumb simply do not work. Organizational Research Methods, 14(3), 548–570. https://doi.org/10.1177/1094428110368562.
Olvera Astivia, O. L. (2018). Shiny apps/resources (Software). Retrieved from https://psychometroscar.com/shiny-apps-resources/. Accessed 1 May 2018.
Ooi, Y. P., Rescorla, L. A., Ang, R. P., et al. (2010). Identification of autism spectrum disorders using the Child Behavior Checklist in Singapore. Journal of Autism and Developmental Disorders, 41, 1147–1156.
Reiersen, A. M., & Todd, R. D. (2008). Co-occurrence of ADHD and autism spectrum disorders: Phenomenology and treatment. Expert Review of Neurotherapeutics, 8, 657–669.
Rhemtulla, M., Brosseau-Liard, P., & Savalei, V. (2012). When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychological Methods, 17, 354–373. https://doi.org/10.1037/a0029315.
Robinson, E. B., Munir, K., Munafo`, M. R., Hughes, M., McCormick, M. C., & Koenen, K. C. (2011). Stability of autistic traits in the general population: Further evidence for a continuum of impairment. Journal of the American Academy of Child and Adolescent Psychiatry, 50, 376–384.
Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7, 147–177.
Sijtsma, K. (2009). On the use, the misuse, and the very limited usefulness of Cronbach’s alpha. Psychometrika, 74, 107–120.
Silverman, W. K., & Albano, A. M. (1996). Anxiety Disorders Interview Schedule for DSM-IV.: Child interview schedule (Vol. 2). Oxford: Graywind Publications.
Silverman, W. K., Saavedra, L. M., & Pina, A. A. (2001). Test-retest reliability of anxiety symptoms and diagnoses with the anxiety disorders interview schedule for DSM-IV: Child and parent versions. Journal of the American Academy of Child & Adolescent Psychiatry, 40(8), 937–944. https://doi.org/10.1097/00004583-200108000-00016.
Simonoff, E., Pickles, A., Charman, T., Chandler, S., Loucas, T., & Baird, G. (2008). Psychiatric disorders in children with autism spectrum disorders: Prevalence, comorbidity, and associated factors in a population-derived sample. Journal of the American Academy of Child and Adolescent Psychiatry, 47, 921–929.
Stewart, M. E., & Austin, E. J. (2009). The structure of the Autism-Spectrum Quotient (AQ): Evidence from a student sample in Scotland. Personality and Individual Difference, 47, 224–228. https://doi.org/10.1016/j.paid.2009.03.004.
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. Allyn & Bacon/Pearson Education.
Timmerman, M. E., & Lorenzo-Seva, U. (2011). Dimensionality assessment of ordered polytomous items with parallel analysis. Psychological Methods, 16, 209–220.
Wakabayashi, A., Baron-Cohen, S., Uchiyama, T., Yoshida, Y., Tojo, Y., Kuroda, M., et al. (2007). The autism-spectrum quotient (AQ) children’s version in Japan: A cross-cultural comparison. Journal of Autism and Developmental Disorders, 37, 491–500. https://doi.org/10.1007/s10803-006-0181-3.
Watkins, M. W. (2013). Omega [Computer software]. Phoenix: Ed & Psych Associates.
Zinbarg, R. E., Revelle, W., Yovel, I., & Li, W. (2005). Cronbach’s α, Revelle’s β, and McDonald’s ωH: Their relations with each other and two alternative conceptualizations of reliability. Psychometrika, 70(1), 123–133. https://doi.org/10.1007/s11336-003-0974-7.
Zumbo, B. D., Gadermann, A. M., & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta for Likert ratings scales. Journal of Modern Applied Statistical Methods, 6, 21–29.
Acknowledgments
No source of funding has been used for the present study. It is acknowledged that the present study investigates the psychometric properties of the Autism Quotient children version using archival data of 404 children with ADHD examined at the Academic Child Psychiatry Unit (ACPU) of the Royal Children’s Hospital, Melbourne, Australia. In that context, we are grateful to the employees of the unit that contributed to the data collection.
Author Contributions
RG contributed to the literature review, hypotheses formulation, data collection and analyses, and the structure and sequence of theoretical arguments. VS contributed to the literature review, hypotheses formulation, data collection and analyses, and the structure and sequence of theoretical arguments. AV contributed to the data collection and analyses.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors of the present study do not report any conflict of interest.
Ethical Approval
All procedures performed in the study involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.
Informed Consent
Informed consent was obtained from all individual participants included in the study.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Gomez, R., Stavropoulos, V. & Vance, A. Psychometric Properties of the Autism Spectrum Quotient: Children’s Version (AQ-Child). J Autism Dev Disord 49, 468–480 (2019). https://doi.org/10.1007/s10803-018-3713-8
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10803-018-3713-8