Beyond Pearson’s Correlation: Modern Nonparametric Independence Tests for Psychological Research-Reference-Cited by-同舟云学术

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Beyond Pearson’s Correlation: Modern Nonparametric Independence Tests for Psychological Research

Published:2024-08-04 Issue: Volume: Page:1-21
ISSN:0027-3171
Container-title:Multivariate Behavioral Research
language:en
Short-container-title:Multivariate Behavioral Research

Author:

Karch Julian D.¹^ORCID,Perez-Alonso Andres F.²^ORCID,Bergsma Wicher P.³^ORCID

Affiliation:

1. Methodology and Statistics Department, Institute of Psychology, Leiden University, Leiden, the Netherlands

2. Department of Methodology and Statistics, Tilburg School of Social and Behavioral Sciences Tilburg University, Tilburg, the Netherlands

3. Department of Statistics, London School of Economics and Political Science, London, United Kingdom

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00273171.2024.2347960

Reference73 articles.

1. minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers

2. Adaptive test of independence based on HSIC measures

3. Outlier removal, sum scores, and the inflation of the type I error rate in independent samples t tests: The power of alternatives and recommendations.

4. A consistent test of independence based on a sign covariance related to Kendall’s tau

5. Optimal rates for independence testing via U-statistic permutation tests

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