American Psychiatric Association. Diagnostic and
Statistical Manual of Mental Disorders, 5th Edition (DSM-5).
Constantino, JN, Gruber, CP, Davis, S, Hayes, S, Passanante, N, Przybeck, T. The factor structure of autistic
traits. J Child Psychol Psyc
2004; 45: 719–26.
Frazier, TW, Youngstrom, EA, Speer, L, Embacher, R, Law, P, Constantino, J. Validation of proposed DSM-5 criteria for Autism
Spectrum Disorder. J Am Acad Child Adolesc
Ingram, GD, Takahashi, TN, Miles, JH. Defining autism subgroups: a taxometric
solution. J Autism Dev Disord
2008; 38: 950–60.
Mandy, WPL, Charman, T, Skuse, DH. Testing the construct validity of proposed criteria
for DSM-5 Autism Spectrum Disorder. J Am Acad
Child Adolesc Psychiatry
Frazier, TW, Youngstrom, EA, Sinclair, L, Kubu, CS, Law, P, Rezai, A. Autism spectrum disorders as a qualitatively
distinct category from typical behavior in a large, clinically
ascertained sample. Assessment
2010; 17: 308–20.
Lubke, GH, Muthén, B. Investigating population heterogeneity with factor
mixture models. Psychol Med
Georgiades, S, Szatmari, P, Boyle, M, Hanna, S, Duku, E, Zwaigenbaum, L, et al. Investigating phenotypic heterogeneity in
children with autism spectrum disorder: a factor mixture modeling
approach. J Child Psychol Psychiatry
2013; 54: 206–15.
Georgiades, S, Boyle, M, Szatmari, P, Hanna, S, Duku, E, Zwaigenbaum, L, et al. Modeling the phenotypic architecture of
autism symptoms from time of diagnosis to age 6.
J Autism Dev Disord
2014; 44: 3045–55.
Constantino, JN. The quantitative nature of autistic social
impairment. Pediatr Res
Sucksmith, E, Roth, I, Hoekstra, RA. Autistic traits below the clinical threshold:
re-examining the Broader Autism Phenotype in the 21st
century. Neuropsychol Rev
2011; 21: 360–89.
Piven, J, Palmer, P, Jacobi, D, Childress, D, Arndt, S. Broader autism phenotype: evidence from a family
history study of multiple-incidence autism families.
Am J Psychiatry
1997; 154: 185–90.
Baron-Cohen, S. Autism: the empathizing-systemizing (E-S)
theory. Ann NY Acad Sci
Grove, R, Baillie, A, Allison, C, Baron-Cohen, S, Hoekstra, RA. Empathizing, systemizing, and autistic traits:
latent structure in individuals with autism, their parents and general
population controls. J Abnorm Psychol
2013; 122: 600–9.
Raven, J, Raven, JC, Court, JH. Manual for Raven's Progressive Matrices and Vocabulary
Scales. Section 1: General Overview. Harcourt
Baron-Cohen, S, Wheelwright, S, Skinner, R, Martin, J, Clubley, E. The Autism-Spectrum Quotient (AQ): evidence from
Asperger syndrome/high-functioning autism, males and females, scientists
and mathematicians. J Autism Dev Disord
2001; 31: 5.
Hoekstra, RA, Bartels, M, Cath, DC, Boomsma, DI. Factor structure, reliability and criterion validity
of the Autism-Spectrum Quotient (AQ): a study in Dutch population and
patient groups. J Autism Dev Disord
2008; 38: 1555–66.
Wheelwright, S, Baron-Cohen, S, Goldenfeld, N, Delaney, J, Fine, D, Smith, R, et al. Predicting Autism Spectrum Quotient (AQ) from
the Systemizing Quotient-Revised (SQ-R) and Empathy Quotient
(EQ). Brain Res
Baron-Cohen, S, Wheelwright, S. The empathy quotient: an investigation of adults
with Asperger syndrome or high functioning autism, and normal sex
differences. J Autism Dev Disord
2004; 34: 163–75.
Baron-Cohen, S, Wheelwright, S, Hill, J, Raste, Y, Plumb, I. The “Reading the mind in the eyes” Test revised
version: a study with normal adults, and adults with Asperger syndrome or
high-functioning autism. J Child Psychol
2001; 42: 241–51.
Lundqvist, D, Flykt, A, Öhman, A. The Karolinska Directed Emotional Faces.
Department of Clinical Neuroscience, Psychology section:
Sutherland, A, Crewther, DP. Magnocellular visual evoked potential delay with
high autism spectrum quotient yields a neural mechanism for altered
2010; 133: 2089–97.
Hagenaars, J, McCutcheon, AL. Applied Latent Class Analysis.
Cambridge University Press,
Meredith, W. Measurement invariance, factor analysis and
factorial invariance. Psychometrika
1993; 58: 525–43.
Lubke, GH, Muthén, B. Performance of factor mixture models as a function
of model size, covariate effects, and class-specific
parameters. Struct Equ Modeling
Muthén, B. Latent variable hybrids: overview of old and new
models. In Advances in Latent Variable Mixture
Models (eds Hancock, GR, Samuelsen, KM): 1–24. Information
Age Publishing, 2008.
Nylund, KL, Asparouhov, T, Muthen, BO. Deciding on the number of classes in Latent Class
Analysis and Growth Mixture Modeling: a Monte Carlo simulation
study. Struct Equ Modeling
2007; 14: 535–69.
Gebregziabher, M, Shotwell, MS, Charles, JM, Nicholas, JS. Comparison of methods for identifying phenotype
subgroups using categorical features data with application to autism
spectrum disorder. Comput Stat Data Anal
2012; 56: 114–25.
Lo, Y, Mendell, NR, Rubin, DB. Testing the number of components in a normal
2001; 88: 767–78.
Ramaswany, V, Desarbo, WS, Reibstein, DJ, Robinson, WT. An empirical pooling approach for estimating
marketing mix elasticities with PIMS data. Market
1993; 12: 103–24.
IBM Corp. IBM SPSS Statistics for Windows.
Sucksmith, E, Allison, C, Baron-Cohen, S, Chakrabarti, B, Hoekstra, RA. Empathy and emotion recognition in people with
autism, first-degree relatives and controls.
Tavassoli, T, Hoekstra, RA, Baron-Cohen, S. The Sensory Perception Quotient (SPQ): development
and validation of a new sensory questionnaire for adults with and without
autism. Mol Autism
2014; 5: 29.
Mandy, W, Charman, T, Puura, K, Skuse, D. Investigating the cross-cultural validity of DSM-5
autism spectrum disorder: evidence from Finnish and UK
Scheeren, AM, Stauder, JE. Broader autism phenotype in parents of autistic
children: Reality or myth?
J Autism Dev Disord
2008; 38: 276–87.
Greaves-Lord, K, Eussen, ML, Verhulst, FC, Minderaa, RB, Mandy, W, Hudziak, JJ, et al. Empirically based phenotypic profiles of
children with pervasive developmental disorders: interpretation in the
light of the DSM-5. J Autism Dev Disord
2013: 43: 1784–97.
Chakrabarti, S, Fombonne, E. Pervasive developmental disorders in pre-school
2001; 285: 3093–9.
Todd, M, Davis, KE, Cafferty, TP. Who volunteers for adult development research?
Research findings and practical steps to reach low volunteering
groups. Int J Aging Hum Dev
1983; 18: 177–84.
Rosenthal, R, Rosnow, RL. The Volunteer Subject. John Wiley
and Sons, 1975.
Lee, H, Marvin, AR, Watson, T, Piggot, J, Law, JK, Law, PA. Accuracy of phenotyping of autistic children based
on internet implemented parent report. Am J Med
2010; 153: 1119–26.