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CORRECTION article

Front. Psychol., 17 June 2021
Sec. Quantitative Psychology and Measurement
Volume 12 - 2021 | https://doi.org/10.3389/fpsyg.2021.706512

Corrigendum: Spectral Clustering Algorithm for Cognitive Diagnostic Assessment

This article is a correction to:

  1. Spectral Clustering Algorithm for Cognitive Diagnostic Assessment

    1. Read original article
\nLei Guo,Lei Guo1,2Jing Yang Jing Yang3*Naiqing Song,, Naiqing Song2,4,5*
  • 1Faculty of Psychology, Southwest University, Chongqing, China
  • 2Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Chongqing, China
  • 3School of Mathematics and Statistics, Northeast Normal University, Changchun, China
  • 4Basic Education Research Center, Southwest University, Chongqing, China
  • 5Urban and Rural Education Research Center, Southwest University, Chongqing, China

A Corrigendum on
Spectral Clustering Algorithm for Cognitive Diagnostic Assessment

by Guo, L., Yang, J., and Song, N. (2020). Front. Psychol. 11:944. doi: 10.3389/fpsyg.2020.00944

Funding

This research was supported by the National Natural Science Foundation of China (31900793), the Research Program Funds of the Collaborative Innovation Center of Assessment toward Basic Education Quality at Beijing Normal University (2019-06-023-BZPK01 and 2018-06-002-BZPK01), and the Philosophy Society of the Ministry of Education (11jhq001).

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Keywords: cognitive diagnostic assessment, spectral clustering, K-means, G-DINA model, classification accuracy

Citation: Guo L, Yang J and Song N (2021) Corrigendum: Spectral Clustering Algorithm for Cognitive Diagnostic Assessment. Front. Psychol. 12:706512. doi: 10.3389/fpsyg.2021.706512

Received: 07 May 2021; Accepted: 11 May 2021;
Published: 17 June 2021.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2021 Guo, Yang and Song. 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: Jing Yang, yangj014@nenu.edu.cn; Naiqing Song, songnq@swu.edu.cn

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