Cited by 4,621Psychometric Methodologies and TestingMultidisciplinary Science and Engineering ResearchStatistical Methods and Applications

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Tests for comparing elements of a correlation matrix

Steiger, James H.·1980·Psychological Bulletin

Abstract

In a variety of situations in psychological research, it is desirable to be able to make statistical comparisons between correlation coefficients measured on the same individuals. For example, an experimenter may wish to assess whether two predictors correlate equally with a criterion variable. In another situation, the experimenter may wish to test the hypothesis that an entire matrix of correlations has remained stable over time. The present article reviews the literature on such tests, points out some statistics that should be avoided, and presents a variety of techniques that can be used safely with medium to large samples. Several illustrative numerical examples are provided.

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Crossref · 10.1037/0033-2909.87.2.245

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Metadata

Authors
Steiger, J. H.
Affiliations
University of British Columbia (CA)
Corresponding author
Steiger, James H.
Venue
Psychological Bulletin
Published
1980-03
Volume
87
Issue
2
Pages
245-251
ISSN
  • 0033-2909 (ISSN-L)
  • 1939-1455
OpenAlex
W2097137621
Cited by
4,621
References
17
Citations by year
2026: 227 · 2025: 157 · 2024: 152 · 2023: 168 · 2022: 212 · 2021: 214 · 2020: 242 · 2019: 259 · 2018: 302 · 2017: 265 · 2016: 261 · 2015: 260 · 2014: 189 · 2013: 197 · 2012: 148
FWCI
16.67
Type
journal article
Language
en
Open access
closed
Locations
Psychological Bulletin (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Multidisciplinary Science and Engineering Research
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Keywords
correlation coefficient, hypothesis testing

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