Covariance Structure Analysis
Covariance Structure Analysis is a statistical modeling technique in multivariate trait analysis that specifies and tests the pattern of covariances among observed variables to infer the underlying structure of latent traits or factors.
1.4K
Publications
334K
Citations
2.9K
Authors
1.2K
Institutions
Publications per year
2017–2026
197
Parents
1.4K
1–5 of 1.4K
2.9K
University of California, Los Angeles, United States
42 publications · 137.9K citations
32
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22
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16
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13
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12
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1–5 of 2.9K
1.2K
University of California, Los Angeles
Los Angeles, United States
35 h-index
69 publications
128.8K citations
University of Michigan
Ann Arbor, United States
22 h-index
50 publications
6.4K citations
Arizona State University
Tempe, United States
19 h-index
33 publications
3.6K citations
Michigan State University
East Lansing, United States
19 h-index
33 publications
4K citations

University of Amsterdam
Amsterdam, The Netherlands
16 h-index
30 publications
1.9K citations
The Ohio State University
Columbus, United States
15 h-index
30 publications
9.1K citations

University of Notre Dame
Notre Dame, United States
13 h-index
20 publications
1.1K citations
University of Chicago
Chicago, United States
13 h-index
15 publications
2.1K citations
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MBR · 75 publications · 9.2K citations
39
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SEM · 46 publications · 109K citations
30
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32 publications · 5.3K citations
24
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24 publications · 31.3K citations
23
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38 publications · 5.4K citations
22
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