Five-Point Likert Items: t test versus Mann-Whitney-Wilcoxon ( Addendum added October 2012 )

By J. D. de Winter, Dimitra Dodou. 2010

619 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/34751219e03f2df978791591c14d58315c425a87

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Caroline Chaffer
2. B. Subedi
3. Allison B. McCoy
4. Dean F. Sittig
5. Jonathan P. Wanderer
6. Scott D. Nelson
7. Adam Wright
8. Aileen P. Wright

In Sociology and Political Science

1. Caroline Chaffer
2. B. Subedi
3. Jill J. Webb

In Statistics and Probability

1. Caroline Chaffer
2. B. Subedi
3. Jill J. Webb

Citations in the corpus

• The expectation performance gap in accounting education: a review of generic skills development in UK accounting degrees (2016, methodology): “In this case the data were drawn from two independent samples, which are accounting graduates and non-accounting graduates, therefore the significance of differences could be tested using the Mann–Whitney U test (Mccrum-Gardner, 2008; de Winter & Dodou, 2010).”
• Using Likert Type Data in Social Science Research: Confusion, Issues and Challenges (2016, background): “Generally, Likert type data is taken as the discrete instead of continuous values, tied numbers, and restricted range (De Winter & Dodou, 2010).”
• Using AI-generated suggestions from ChatGPT to optimize clinical decision support (2023, methodology): “metric Mann-Whitney Wilcoxon test to compare expert ratings of AI-generated suggestions and human-generated suggestions.(32) In the”