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Magiati I, Goh DA, Lim SJ, et al. The psychometric properties of the Quantitative-Checklist for Autism in Toddlers (Q-CHAT) as a measure of autistic traits in a community sample of Singaporean infants and toddlers. Mol Autism. 2015;6:40doi: 10.1186/s13229-015-0032-1.
Magiati, I., Goh, D. A., Lim, S. J., Gan, D. Z., Leong, J. C., Allison, C., Baron-Cohen, S., Rifkin-Graboi, A., Broekman, B. F., Saw, S. M., Chong, Y. S., Kwek, K., Gluckman, P. D., Lim, S. B., Meaney, M. J. (2015). The psychometric properties of the Quantitative-Checklist for Autism in Toddlers (Q-CHAT) as a measure of autistic traits in a community sample of Singaporean infants and toddlers. Molecular autism, 640. https://doi.org/10.1186/s13229-015-0032-1
Magiati, I, et al. "The psychometric properties of the Quantitative-Checklist for Autism in Toddlers (Q-CHAT) as a measure of autistic traits in a community sample of Singaporean infants and toddlers." Molecular autism vol. 6 (2015): 40. doi: https://doi.org/10.1186/s13229-015-0032-1
Magiati I, Goh DA, Lim SJ, Gan DZ, Leong JC, Allison C, Baron-Cohen S, Rifkin-Graboi A, Broekman BF, Saw SM, Chong YS, Kwek K, Gluckman PD, Lim SB, Meaney MJ. The psychometric properties of the Quantitative-Checklist for Autism in Toddlers (Q-CHAT) as a measure of autistic traits in a community sample of Singaporean infants and toddlers. Mol Autism. 2015 Jun 21;6:40. doi: 10.1186/s13229-015-0032-1. eCollection 2015. PMID: 26124950; PMCID: PMC4484636.
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Mol Autism. 2015 Jun 21;6:40. doi: 10.1186/s13229-015-0032-1. eCollection 2015.

The psychometric properties of the Quantitative-Checklist for Autism in Toddlers (Q-CHAT) as a measure of autistic traits in a community sample of Singaporean infants and toddlers.

Molecular autism

I Magiati, D A Goh, S J Lim, D Z Q Gan, J C L Leong, C Allison, S Baron-Cohen, A Rifkin-Graboi, B F P Broekman, S-M Saw, Y-S Chong, K Kwek, P D Gluckman, S B Lim, M J Meaney,

Affiliations

  1. Department of Psychology, National University of Singapore, #02-24, Block AS4, 9 Arts Link, 117570 Singapore, Singapore.
  2. Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
  3. Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A STAR), Singapore, Singapore.
  4. Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A STAR), Singapore, Singapore ; Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore.
  5. Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore.
  6. Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A STAR), Singapore, Singapore ; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore.
  7. Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore.
  8. Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A STAR), Singapore, Singapore ; Liggins Institute, University of Auckland, Auckland, New Zealand.
  9. Department of Child Development, KK Women's and Children's Hospital, Singapore, Singapore.
  10. Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A STAR), Singapore, Singapore ; Ludmer Centre for Neuroinformatics and Mental Health, McGill University, Verdun, Canada; Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Canada.

PMID: 26124950 PMCID: PMC4484636 DOI: 10.1186/s13229-015-0032-1

Abstract

BACKGROUND: There is growing research evidence that subclinical autistic traits are elevated in relatives of individuals with autism spectrum disorder (ASD), continuously distributed in the general population and likely to share common etiology with ASD. A number of measures have been developed to assess autistic traits quantitatively in unselected samples. So far, the Quantitative-Checklist for Autism in Toddlers (Q-CHAT) is one of very few measures developed for use with toddlers as young as 18 months, but little is known about its measurement properties and factor structure.

METHODS: The present study examined internal consistency, factor structure, test-retest stability, and convergent validity of the Q-CHAT in a sample of toddlers in Singapore whose caregivers completed the Q-CHAT at 18 (n = 368) and 24 months (n = 396).

RESULTS: Three factors were derived accounting for 38.1 % of the variance: social/communication traits, non-social/behavioral traits, and a speech/language factor. Internal consistency was suboptimal for the total and speech/language scores, but acceptable for the social/communication and non-social/behavioral factor scores. Scores were generally stable between 18 and 24 months. Convergent validity was found with the Pervasive Developmental Disorders subscale of the Child Behavior Checklist (CBCL) completed by caregivers when their children were 24 months. Q-CHAT total scores in this sample were higher than those reported in other unselected samples from the UK.

CONCLUSIONS: The Q-CHAT was found to have a three-factor structure, acceptable internal consistency for its two main factor scores (social/communication and non-social/behavioral), normally distributed scores in an unselected sample, and similar structure and measurement properties as those reported in other published studies. Findings are discussed in relation to existing literature and future directions for the validation of the Q-CHAT.

Keywords: Assessment; Autism spectrum disorder; Autistic traits; Checklist; Dimensional; Factor structure; Measure; Psychometric properties; Quantitative; Toddlers

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