Swipe om te navigeren naar een ander artikel
The Autism Spectrum Quotient (AQ) has been widely used for measuring autistic traits however its factor structure has been primarily determined from nonclinic populations. This study aimed to establish an internally coherent and reliable factor structure for the AQ using a sample of 455 Australian adults of whom 141 had autism spectrum disorder (ASD) diagnoses. Principal component analysis revealed a 39-item questionnaire with five-factors: Sociability, Social Cognition, Interest in Patterns, Narrow Focus and Resistance to Change. The revised AQ-39 had sound goodness-of-fit indices, good-to-excellent internal consistency and test–retest reliability, and scores for ASD and non-ASD participants were significantly different. The AQ-39 may be useful in screening and for guiding the focus of therapy.
Log in om toegang te krijgen
Met onderstaand(e) abonnement(en) heeft u direct toegang:
American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC: Author.
Austin, E. (2005). Personality correlates of the broader autism phenotype as assessed by the Autism Spectrum Quotient (AQ). Personality and Individual Differences, 38(2), 451–460. CrossRef
Baron-Cohen, S. (2000). Theory of mind and autism: A fifteen year review. In S. Baron-Cohen, H. Tager-Flusberg, & D. J. Cohen (Eds.), Understanding other minds: Perspectives from developmental cognitive neuroscience (2nd ed., pp. 3–20). Oxford: Oxford University Press.
Baron-Cohen, S. (2008a). Autism and asperger syndrome: The facts. Oxford: Oxford University Press.
Baron-Cohen, S. (2008b). Autism, hypersystemizing, and truth. Quarterly Journal of Experimental Psychology, 61(1), 64–75. CrossRef
Bollen, K. A., & Long, J. S. (1993). Introduction. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 1–9). Newbury Park, CA: Sage.
Browne, M., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage.
Byrne, B. (1998). Structural equation modelling with LISREL, PRELIS and SIMPLIS: Basic concepts, applications and programming. Mahwah, NJ: Lawrence Erlbaum Associates.
Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1(2), 245–276. CrossRef
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.
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 and Evaluation, 10(7), 1–9.
Gable, R. K., & Wolf, M. B. (1993). Instrument development in the affective domain: Measuring attitudes and values in corporate and school settings. Evaluation in education and human services. Boston: Kluwer Academic. CrossRef
Gillberg, C. (1991). Clinical and neurobiological aspects of Asperger’s syndrome in six families studied. In U. Frith (Ed.), Autism and asperger’s syndrome (pp. 122–146). Cambridge: Cambridge University Press. CrossRef
Gillberg, C., & Ehlers, S. (1998). High functioning people with autism and asperger syndrome: A literature review. In E. Schopler, G. Mesibov, & L. Kunce (Eds.), Asperger syndrome or high functioning autism? (pp. 79–106). New York: Plenum Press. CrossRef
Gorsuch, R. L. (1983). Factor analysis. Hillsdale, NJ: Erlbaum.
Hayton, J. C., Allen, D. G., & Scarpello, V. (2004). Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis. Organizational Research Methods, 7, 191–205. CrossRef
Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 32, 179–185. CrossRef
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. CrossRef
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(7), 1938–1949. CrossRef
Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guilford.
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(2), 310–314. CrossRef
Koch, G. G. (1982). Intraclass correlation coefficient. In S. Kotz & N. L. Johnson (Eds.), Encyclopedia of statistical sciences (4th ed., pp. 213–217). New York: John Wiley & Sons.
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130–149. CrossRef
Peterson, C. C., Wellman, H. M., & Slaughter, V. (2012). The mind behind the message: Advancing theory-of-mind scales for typically developing children, and those with deafness, autism, or asperger syndrome. Child Development, 83(2), 469–485. PubMed
Ritvo, R. A., Ritvo, E. R., Guthrie, D., Ritvo, M. J., Hufnagel, D. H., McMahon, W., et al. (2011). The Ritvo Autism Asperger Diagnostic Scale-Revised (RAADS-R): A scale to assist the diagnosis of Autism Spectrum Disorder in adults: An international validation study. Journal of Autism and Developmental Disorders, 41(8), 1076–1089. PubMedCrossRef
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 Differences, 47(3), 224–228. CrossRef
Swygert, K. A., McLeod, L. D., & Thissen, D. (2001). Factor analysis for items or testlets scored in more than two categories. In D. T. H. Wainer (Ed.), Test scoring. Mahwah, NJ: Lawrence Erlbaum.
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). New York: Allyn and Bacon.
Turner, N. E. (1998). The effect of common variance and structure pattern on random data eigenvalues: Implications for the accuracy of parallel analysis. Educational and Psychological Measurement, 58, 541–568. CrossRef
Van de Vijver, F. J. R., & Leung, K. (1997). Methods and data analysis for cross-cultural research. London: Sage.
- Further Evidence on the Factorial Structure of the Autism Spectrum Quotient (AQ) for Adults With and Without a Clinical Diagnosis of Autism
Winnie Yu Pow Lau
Adrian B. Kelly
Candida Clifford Peterson
- Springer US