Factor Structure of the Bulgarian CAST: (Childhood Autism Spectrum Test)
DOI:
https://doi.org/10.6000/2292-2598.2016.04.02.5Keywords:
Autism, screening tests, factor analysis, factor structure, latent structureAbstract
The number of studies addressing the latent structure of specific screening and diagnostic tools for autism spectrum conditions is still limited. The current study explored the latent structure of the Bulgarian CAST (Childhood Autism Spectrum Test) in screening for autism in the Bulgarian population. The data were analysed using factor analyses. A hierarchical model with two primary factors yielded best data fit. This structure is consistent with the two main categories adopted in the DSM-5 and current accounts of the range of conditions broadly falling into two main clusters of symptoms. These results confirm the validity of CAST as a tool for screening for autism spectrum conditions in other cultures and support the construct validity of the model and criteria included in the DSM-5. Furthermore, our results demonstrate how factor analysis can be exploited to reveal the underlying structure of screening tools aimed at capturing the behavioural traits of deficit phenotypes.
References
Sun X, Allison C, Auyeung B, Matthews FE, Norton S, Baron-Cohen S, Brayne C. Psychometric Properties of the Mandarin Version of the Childhood Autism Spectrum Test (CAST): An Exploratory Study. Journal of Autism and Developmental Disorders 2014a; 44(7): 1565-76. http://dx.doi.org/10.1007/s10803-013-2024-3 DOI: https://doi.org/10.1007/s10803-013-2024-3
Wing L. The autistic continuum. In: L. Wing, editor. Aspects of autism: Biological Research. Royal College of Psychiatrists, London: Gaskell 1988.
Constantino JN, Todd RD. Autistic traits in the general population: A twin study. Archives of General Psychiatry 2003; 60(5): 524-530. http://dx.doi.org/10.1001/archpsyc.60.5.524 DOI: https://doi.org/10.1001/archpsyc.60.5.524
Scott FJ, Baron-Cohen S, Bolton P, Brayne C. The CAST (Childhood Asperger Syndrome Test): Preliminary development of a UK screen for mainstream primary-school-age children. Autism 2002a; 6(1): 9-31. http://dx.doi.org/10.1177/1362361302006001003 DOI: https://doi.org/10.1177/1362361302006001003
Williams J, Scott F, Scott C, Allison C, Bolton P, Baron- Cohen S, Brayne C. The CAST (Childhood Asperger Syndrome Test): Test accuracy. Autism 2005; 9(1): 45-68. http://dx.doi.org/10.1177/1362361305049029 DOI: https://doi.org/10.1177/1362361305049029
Allison C, Williams J, Scott F, Stott C, Bolton P, Baron-Cohen S, Brayne C. The Childhood Asperger Syndrome Test (CAST): Test-retest reliability in a high scoring sample. Autism 2007; 11(2): 173-185. http://dx.doi.org/10.1177/1362361307075710 DOI: https://doi.org/10.1177/1362361307075710
Sun X, Allison C, Auyeung B, Matthews FE, Zhang Z, Baron-Cohen S, Brayne C. Comparison between a Mandarin Chinese version of the Childhood Autism Spectrum Test and the Clancy Autism Behaviour Scale in mainland China. Research in Developmental Disabilities 2014b; 35: 1599-1608. http://dx.doi.org/10.1016/j.ridd.2014.02.005 DOI: https://doi.org/10.1016/j.ridd.2014.02.005
Lord C, Rutter M, Le Couteur A. Autism Diagnostic Interview - Revised: a revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. Journal of Autism and Developmental Disorders 1994; 24: 659-685. http://dx.doi.org/10.1007/BF02172145 DOI: https://doi.org/10.1007/BF02172145
Lord C, Risi S, Lambrecht L, Cook EH Jr, Leventhal BL, DiLavore PC, Pickles A, Rutter M. The autism diagnostic observation schedule-generic: a standard measure of social and communication deficits associated with the spectrum of autism. Journal of Autism and Developmental Disorders 2000; 30(3): 205-23. http://dx.doi.org/10.1023/A:1005592401947 DOI: https://doi.org/10.1023/A:1005592401947
Constantino JN, Przybeck T, Friesen D, Todd RD. Reciprocal social behavior in children with and without pervasive developmental disorders. Journal of Developmental and Behavioral Pediatrics 2000; 21: 2-11. http://dx.doi.org/10.1097/00004703-200002000-00002 DOI: https://doi.org/10.1097/00004703-200002000-00002
Frazier TW, Youngstrom EA, Speer L, Embacher R, Law P, Constantino J, Findling RL, Hardan AY, Eng C. Validation of proposed DSM-5 criteria for autism spectrum disorder. Journal of the American Academy of Child and Adolescent Psychiatry 2012; 51: 28-40. http://dx.doi.org/10.1016/j.jaac.2011.09.021 DOI: https://doi.org/10.1016/j.jaac.2011.09.021
Grzadzinski R, Huerta M, Lord C. DSM-5 and autism spectrum disorders (ASDs): an opportunity for identifying ASD subtypes. Molecular Autism 2013; 4: 12. http://dx.doi.org/10.1186/2040-2392-4-12 DOI: https://doi.org/10.1186/2040-2392-4-12
Beuker KT, Schjølberg S, Kveim LK, Donders R, Lappenschaar M, Swinkels SH, Buitelaar JK. The structure of autism spectrum disorder symptoms in the general population at 18 months. Journal of Autism and Developmental Disorders 2013; 43(1): 45-56. http://dx.doi.org/10.1007/s10803-012-1546-4 DOI: https://doi.org/10.1007/s10803-012-1546-4
Guthrie W, Swineford LB, Wetherby AM, Lord C. Comparison of DSM-IV and DSM-5 factor structure models for toddlers with autism spectrum disorder. Journal of the American Academy of Child and Adolescent Psychiatry 2013; 52: 797-805. http://dx.doi.org/10.1016/j.jaac.2013.05.004 DOI: https://doi.org/10.1016/j.jaac.2013.05.004
Wing L, Gould J, Gillberg C. Autism spectrum disorders in the DSM-V: better or worse than the DSM-IV? Developmental Disabilities Research Reviews 2011; 32: 768-73. http://dx.doi.org/10.1016/j.ridd.2010.11.003 DOI: https://doi.org/10.1016/j.ridd.2010.11.003
Embretson SE, Reise SP. Item response theory for psychologists. Lawrence Mahwah, NJ: Erlbaum Associates, Inc. 2000; p. 227.
De Ayala RJ. The theory and application of Item response theory. New York: Guilford Publishing; 2009.
Scott FJ, Baron-Cohen S, Bolton P, Brayne C. Brief report: Prevalence of autism spectrum conditions in children aged 5-11 years in Cambridgeshire, UK. Autism 2002b; 6(3): 231-237. http://dx.doi.org/10.1177/1362361302006003002 DOI: https://doi.org/10.1177/1362361302006003002
Williams J, Allison C, Scott F, Stott C, Bolton P, Baron-Cohen S, Brayne C. The Childhood Asperger Syndrome Test (CAST): Test–retest reliability. Autism 2006; 10(4): 415-427. http://dx.doi.org/10.1177/1362361306066612 DOI: https://doi.org/10.1177/1362361306066612
Williams JG, Allison C, Scott FJ, Bolton PF, Baron-Cohen S, Matthews FE, Brayne C. The Childhood Autism Spectrum Test (CAST): Sex differences. Autism 2008; 38(9): 1731-9. http://dx.doi.org/10.1007/s10803-008-0558-6 DOI: https://doi.org/10.1007/s10803-008-0558-6
Vulchanova M, Vulchanov V, Stankova M. Childhood Autism Spectrum Test (CAST), Bulgarian adaptation 2012. Available from: http://www.autismresearchcentre.com/arc_tests
Constantino JN, Gruber CP, Davis S, Hayes S, Passanante N, Przybeck T. The factor structure of autistic traits. Journal of Child Psychology and Psychiatry 2004; 45(4): 719-726. http://dx.doi.org/10.1111/j.1469-7610.2004.00266.x DOI: https://doi.org/10.1111/j.1469-7610.2004.00266.x
Kubinger K. On artificial results due to using factor analysis for dichotomous variables. Psychology Science 2003; 45(1): 106-110.
Hurley AE, Scandura TA, Schriesheim CA, Brannick MT, Seers A, Vandenberg RJ. Exploratory and confirmatory factor analysis: Guidelines, issues, and alternatives. Journal of Organizational Behavior 1997; 18: 667-683. http://dx.doi.org/10.1002/(SICI)1099-1379(199711)18:6<667::AID-JOB874>3.0.CO;2-T DOI: https://doi.org/10.1002/(SICI)1099-1379(199711)18:6<667::AID-JOB874>3.0.CO;2-T
Stevens J. Applied multivariate statistics for the social scie-nces. Mahwah, NJ: Lawrence Erlbaum Associates, Inc. 2002.
Torgerson WS. Theory and methods of scaling. New York: John Wiley and Sons, Inc. 1958.
Kim JO, Mueller CW. Factor analysis: Statistical methods and practical issues. Newbury Park, Ca: Sage Publications, Inc.; 1978.
Lord FM. Applications of Item response theory to practical testing problems. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.; 1980.
O’Connor BP. SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test. Behavior Research Methods, Instruments, and Computers 2000; 32: 396-402. http://dx.doi.org/10.3758/BF03200807 DOI: https://doi.org/10.3758/BF03200807
Revelle W. An overview of the psych package. Department of Psychology, Northwestern University; 2011; Available from: http://personality-project.org/r/overview.pdf
Cattell RB. The scree test for the number of factors. Multivariate Behavioral Research 1966; 1: 245-276. http://dx.doi.org/10.1207/s15327906mbr0102_10 DOI: https://doi.org/10.1207/s15327906mbr0102_10
Reynolds C, Kamphaus R, Eds. Handbook of psychological and Educational assessment of children. New York, NY: The Guilford Press 2003.
Horn JL. A rationale and test for the number of factors in factor analysis. Psychometrika 1965; 30: 179-185. http://dx.doi.org/10.1007/BF02289447 DOI: https://doi.org/10.1007/BF02289447
Buja A, Eyuboglu N. Remarks on parallel analysis. Multivariate Behavioral Research 1992; 27: 509-540. http://dx.doi.org/10.1207/s15327906mbr2704_2 DOI: https://doi.org/10.1207/s15327906mbr2704_2
Costello AB, Osborne JW. Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Practical Assessment Research and Evaluation 2005; 10(7): 1-9.
Steiger JH. Measures of fit in structural equation modeling: An introduction. 2009; Available from: http://www.statpower. net/Content/312/Handout/Measures%20of%20Fit%20in%20Structural%20Equation%20Modeling.pdf
Reckase MD. Unifactor latent trait models applied to multifactor tests: results and implications. Journal of Educational Statistics 1979; 4(3): 207-230. http://dx.doi.org/10.2307/1164671 DOI: https://doi.org/10.3102/10769986004003207
Cooke DJ, Michie C, Hart SD, Hare RD. Evaluating the screening version of the Hare Psychopathy Checklist – Revised (PCL: V): An item response theory analysis. Psychological Assessment 1999; 11(1): 3-13. http://dx.doi.org/10.1037/1040-3590.11.1.3 DOI: https://doi.org/10.1037//1040-3590.11.1.3
Pollard B, Dixon D, Dieppe P, Johnston M. Measuring the ICF components of impairment, activity limitation and participation restriction: an item analysis using classical test theory and item response theory. Health and Quality of Life Outcomes 2009; 7(41). http://dx.doi.org/10.1186/1477-7525-7-41 DOI: https://doi.org/10.1186/1477-7525-7-41
Riekert KA, Eakin M. Factor analysis: A primer for asthma researchers. Journal of Allergy and Clinical Immunology 2008; 121: 1181-1183. http://dx.doi.org/10.1016/j.jaci.2008.03.023 DOI: https://doi.org/10.1016/j.jaci.2008.03.023
Mandy W, Charman T, Skuse D. Testing the Construct Validity of Proposed Criteria for DSM-5 Autism Spectrum Disorder. Journal of the American Academy of Child and Adolescent Psychiatry 2012; 51(1): 41-50. http://dx.doi.org/10.1016/j.jaac.2011.10.013 DOI: https://doi.org/10.1016/j.jaac.2011.10.013
Thurstone LL. The vectors of mind. Psychological Review 1934; 41: 1-32. http://dx.doi.org/10.1037/h0075959 DOI: https://doi.org/10.1037/h0075959
Thurstone LL. The vectors of mind: Multiple-factor analysis for the isolation of primary traits. Chicago: University of Chicago Press 1935. http://dx.doi.org/10.1037/10018-000 DOI: https://doi.org/10.1037/10018-000
Thurstone LL. The factorial isolation of primary abilities. Psychometrika 1936; 1: 175-182. http://dx.doi.org/10.1007/BF02288363 DOI: https://doi.org/10.1007/BF02288363
Thurstone LL. Multiple-factor analysis. Chicago: University of Chicago Press 1947.
Thorndike RM. Method of factor extraction and simple structure of data from diverse scientific areas. Paper presented at the annual meeting of the Western psychological association, San Francisco, CA. 1971
Harman HH. Modern factor analysis. Chicago: The University of Chicago Press 1976.
Guthrie W, Swineford L, Nottke C, Wetherby A. Early diagnosis of autism spectrum disorder: stability and change in clinical diagnosis. Journal of Child Psychology and Psychiatry 2013; 54(5): 582-590. http://dx.doi.org/10.1111/jcpp.12008 DOI: https://doi.org/10.1111/jcpp.12008