Xiaofeng You
Jianqin Yang
Xinai XuA Correction on
A random forest dynamic threshold imputation method for handling missing data in cognitive diagnosis assessments
by You, X., Yang, J., and Xu, X. (2025). Front. Psychol. 16:1487111. doi: 10.3389/fpsyg.2025.1487111
Affiliation: School of Mathematics and Information Science, Nanchang Normal University, Nanchang, China was omitted for author Xinai Xu. This affiliation has now been added for author [Xinai Xu].
Author Xinai Xu was erroneously assigned to affiliation Department of Educational Psychology, Faculty of Education, East China Normal University, Shanghai, China. This affiliation has now been removed for author [Xinai Xu].
In the published article, there was an error in affiliation, 3. Instead of 3 Faculty of Psychology, Beijing Normal University, Beijing, China there should be no affiliation 3. The corrected affiliation is: School of Mathematics and Information Science, Nanchang Normal University, Nanchang, China.
The original article has been updated.
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Keywords: missing data, cognitive diagnosis assessment, random forest threshold imputation, machine learning, dynamic thresholds
Citation: You X, Yang J and Xu X (2025) Correction: A random forest dynamic threshold imputation method for handling missing data in cognitive diagnosis assessments. Front. Psychol. 16:1686437. doi: 10.3389/fpsyg.2025.1686437
Received: 15 August 2025; Accepted: 28 August 2025;
Published: 12 September 2025.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2025 You, Yang and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Xinai Xu, anh4eGFAbmNudS5lZHUuY24=