Residual Correlation Analysis
Residual Correlation Analysis is a statistical method used in dimensionality assessment that evaluates the discrepancy between observed and model-implied correlation matrices to identify misfit and potential omitted dimensions in psychometric or factor models.
108
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10K
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351
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199
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2017–2026
21
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108
Independent Component Analysis of Electroencephalographic Data
Scott Makeig, Anthony J. Bell, Tzyy‐Ping Jung et al. · 1995 · 1.9K citations
Karl Bang Christensen, Guido Makransky, Mike Horton · Applied Psychological Measurement · 2016 · 700 citations · Full text
Education, Educational Measurement, Item Response Theory +16
Donald R. Lynam, Rick H. Hoyle, Joseph P. Newman · Assessment · 2006 · 411 citations
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University of Bristol
Bristol, United Kingdom
6 h-index
15 publications
1.6K citations
Columbia University
New York, United States
4 h-index
6 publications
1.8K citations
University of Maryland, College Park
College Park, United States
4 h-index
5 publications
144 citations

National Taiwan University
Taipei, Taiwan
3 h-index
4 publications
132 citations
Harvard University
Cambridge, United States
3 h-index
4 publications
250 citations
Stanford University
Stanford, United States
3 h-index
6 publications
235 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
5 publications
296 citations
Case Western Reserve University
Cleveland, United States
3 h-index
6 publications
750 citations
1–8 of 199
3 publications · 141 citations
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3 publications · 94 citations
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SEM · 3 publications · 186 citations
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3 publications · 145 citations
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JBES · 2 publications · 80 citations
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