Group Mean Comparisons
Group Mean Comparisons is a statistical method within latent variable modeling that involves the estimation and testing of differences in latent construct means across distinct observed groups, distinguished from other comparative methods by its focus on invariance-constrained measurement models to ensure meaningful cross-group interpretations.
1K
Publications
64.2K
Citations
3.3K
Authors
1.3K
Institutions
Publications per year
2017–2026
229
Parents
1K
Comparing Individual Means in the Analysis of Variance
John W. Tukey · Biometrics · 1949 · 4.1K citations
ON THE COMPARISON OF SEVERAL MEAN VALUES: AN ALTERNATIVE APPROACH
B. L. Welch · Biometrika · 1951 · 1.5K citations
1–5 of 1K
3.3K
7
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6
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Leibniz Institute for Science and Mathematics Education, Germany
5 publications · 108 citations
5
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4
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4
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1–5 of 3.3K
1.3K
University of Oxford
Oxford, United Kingdom
11 h-index
17 publications
1.6K citations
University College London
London, United Kingdom
11 h-index
20 publications
1.3K citations
The Ohio State University
Columbus, United States
11 h-index
19 publications
594 citations
University of Washington
Seattle, United States
11 h-index
25 publications
1.7K citations
University of Copenhagen
Copenhagen, Denmark
10 h-index
26 publications
873 citations
University of Wisconsin–Madison
Madison, United States
10 h-index
19 publications
800 citations
Harvard University
Cambridge, United States
10 h-index
37 publications
2K citations
University of Southern California
Los Angeles, United States
10 h-index
13 publications
370 citations
1–8 of 1.3K
Repository · 32 publications · 1.3K citations
18
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11 publications · 1.5K citations
11
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10 publications · 394 citations
10
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10 publications · 331 citations
10
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ASM · 8 publications · 269 citations
8
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