Corrigendum: Modified Logistic Regression Approaches to Eliminating the Impact of Response Styles on Differential Item Functioning Detection in Likert-Type Scale
- 1Applied Social Sciences, City University of Hong Kong, Kowloon Tong, Hong Kong
- 2Assessment Research Centre, The Education University of Hong Kong, Tai Po, Hong Kong
by Chen, H.-F., Jin, K.-Y., and Wang, W.-C. (2017). Front. Psychol. 8:1143. doi: 10.3389/fpsyg.2017.01143
There is an error in the Funding statement. The correct number for (the Research Grants Council of the Hong Kong Special Administrative Region, China) is (CityU 21615416). 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.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Keywords: extreme response styles, logistic regression, likert scale, differential item functioning, mild response style
Citation: Chen H-F, Jin K-Y and Wang W-C (2018) Corrigendum: Modified Logistic Regression Approaches to Eliminating the Impact of Response Styles on Differential Item Functioning Detection in Likert-Type Scale. Front. Psychol. 9:1122. doi: 10.3389/fpsyg.2018.01122
Received: 30 May 2018; Accepted: 12 June 2018;
Published: 26 June 2018.
Edited and reviewed by: Frontiers in Psychology, Frontiers Media SA, Switzerland
Copyright © 2018 Chen, Jin and Wang. 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 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: Hui-Fang Chen, firstname.lastname@example.org