![Man ultramarathon runner in the mountains he trains at sunset](https://d2csxpduxe849s.cloudfront.net/media/E32629C6-9347-4F84-81FEAEF7BFA342B3/0B4B1380-42EB-4FD5-9D7E2DBC603E79F8/webimage-C4875379-1478-416F-B03DF68FE3D8DBB5.png)
94% of researchers rate our articles as excellent or good
Learn more about the work of our research integrity team to safeguard the quality of each article we publish.
Find out more
CORRECTION article
Front. Psychol. , 26 June 2018
Sec. Quantitative Psychology and Measurement
Volume 9 - 2018 | https://doi.org/10.3389/fpsyg.2018.01122
This article is a correction to:
Modified Logistic Regression Approaches to Eliminating the Impact of Response Styles on DIF Detection in Likert-Type Scales
A corrigendum on
Modified Logistic Regression Approaches to Eliminating the Impact of Response Styles on Differential Item Functioning Detection in Likert-Type Scale
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.
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, aGZjaGVuQGNpdHl1LmVkdS5oaw==
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Research integrity at Frontiers
Learn more about the work of our research integrity team to safeguard the quality of each article we publish.