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Application of Psychometric Approach for ASD Evaluation in Russian 3–4-Year-Olds

Author

Listed:
  • Andrey Nasledov

    (Department of Pedagogy and Pedagogical Psychology, Saint Petersburg State University, 7/7 Universitetskaya Emb., 199034 Saint Petersburg, Russia)

  • Sergey Miroshnikov

    (Department of Pedagogy and Pedagogical Psychology, Saint Petersburg State University, 7/7 Universitetskaya Emb., 199034 Saint Petersburg, Russia)

  • Liubov Tkacheva

    (Department of Pedagogy and Pedagogical Psychology, Saint Petersburg State University, 7/7 Universitetskaya Emb., 199034 Saint Petersburg, Russia)

  • Kirill Miroshnik

    (Faculty of Psychology, Saint Petersburg State University, 199034 Saint Petersburg, Russia)

  • Meriam Uld Semeta

    (Department of Medical Psychology and Psychophysiology, Saint Petersburg State University, 7/7 Universitetskaya Emb., 199034 Saint Petersburg, Russia)

Abstract

Background: Autistic spectrum disorder (ASD) is a significant socio-biological problem due to its wide prevalence and negative outcomes. In the current study, we aimed to develop an autism scale for early and accurate differentiation of 3- to 4-year-olds at risk for ASD since there is no systematic monitoring of young children in Russia yet. Methods: The total sample (N = 324) included 116 children with ASD, 131 children without ASD (healthy controls), and 77 children with developmental delay (DD). An online survey of specialists working with children was conducted based on a specially designed autism questionnaire consisting of 85 multiple-choice tasks distributed across 12 domains. Initially, each child was assessed by 434 items using a dichotomous scale (0 = no , 1 = yes ). Factor and discriminant analyses were performed to identify a compact set of subscales that most accurately and with sufficient reliability predicted whether a child belongs to the ASD group. Results: As a result, four subscales were obtained: Sensorics, Emotions, Hyperactivity, and Communication. The high discriminability of the subscales in distinguishing the ASD group from the non-ASD group was revealed (accuracy 85.5–87.0%). Overall, the obtained subscales meet psychometric requirements and allow for creating an online screening system for wide application.

Suggested Citation

  • Andrey Nasledov & Sergey Miroshnikov & Liubov Tkacheva & Kirill Miroshnik & Meriam Uld Semeta, 2021. "Application of Psychometric Approach for ASD Evaluation in Russian 3–4-Year-Olds," Mathematics, MDPI, vol. 9(14), pages 1-21, July.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:14:p:1608-:d:590469
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    References listed on IDEAS

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    1. Hudson F Golino & Sacha Epskamp, 2017. "Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-26, June.
    2. Genyuan Li & Olivia Lee & Herschel Rabitz, 2018. "High efficiency classification of children with autism spectrum disorder," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-23, February.
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