Development of a computerized adaptive testing for ADHD using Bayesian networks: An attempt at classification-Reference-Cited by-同舟云学术

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Development of a computerized adaptive testing for ADHD using Bayesian networks: An attempt at classification

Published:2022-04-14 Issue: Volume: Page:
ISSN:1046-1310
Container-title:Current Psychology
language:en
Short-container-title:Curr Psychol

Author:

Jiang Zhehan,Ma Wenchao,Flory Kate,Zhang Dan,Zhou Wenjing,Shi Dexin,Hua Xiaochen^ORCID,Liu Ren

Publisher

Springer Science and Business Media LLC

Subject

General Psychology

Link

https://link.springer.com/content/pdf/10.1007/s12144-022-03056-4.pdf

Reference56 articles.

1. Almond, R. G., Dibello, L. V., Moulder, B., & Zapata-Rivera, J. D. (2007). Modeling Diagnostic Assessments with Bayesian Networks. Journal of Educational Measurement, 44(4), 341–359.

2. Almond, R. G., & Mislevy, R. J. (1999). Graphical models and computerized adaptive testing. Applied Psychological Measurement, 23(3), 223–237.

3. Almond, R. G., Mulder, J., Hemat, L. A., & Yan, D. (2006). Models for local dependence among observable outcome variables. Technical report RR‐06‐36 Educational Testing Service. Available from: http://www.ets.org/research/researcher/RR‐06‐36.html. Accessed 3 Sep 2021.

4. Almond R., Mislevy R., Steinberg L., Yan D., Williamson D. (2015) The Future of Bayesian Networks in Educational Assessment. In: Bayesian Networks in Educational Assessment. Statistics for Social and Behavioral Sciences. Springer. https://doi.org/10.1007/978-1-4939-2125-6_16.

5. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Author. https://doi.org/10.1176/appi.books.9780890425596

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1. Neuroassist ADHD Analyzer: A Smart Application for Recognizing Attention Deficit Hyperactivity Disorder (ADHD) Levels in Children;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14

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