Higher-order Factor Models
Higher-Order Factor Models is a hierarchical factor analysis model in which higher-level latent factors are defined to explain the correlations among lower-level primary factors, thereby distinguishing it from standard factor models by incorporating multiple levels of abstraction in the structural representation of psychological or behavioral constructs.
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Publications
73.4K
Citations
1.6K
Authors
687
Institutions
Publications per year
2017–2026
121
Variants
Higher-order Factor Analysis
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Four ways five factors are basic
Paul T. Costa, Robert R. McCrae · Personality and Individual Differences · 1992 · 3.4K citations
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Pennsylvania State University
State College, United States
13 h-index
25 publications
3.5K citations

Baylor University
Waco, United States
13 h-index
19 publications
1.6K citations

University of Minnesota
Minneapolis, United States
11 h-index
18 publications
1.8K citations
Arizona State University
Tempe, United States
11 h-index
24 publications
11K citations
University of Missouri
Columbia, United States
10 h-index
21 publications
1.4K citations

The University of Western Australia
Perth, Australia
9 h-index
10 publications
914 citations

The University of Queensland
Brisbane, Australia
9 h-index
18 publications
1.4K citations

Western University
London, Canada
8 h-index
18 publications
783 citations
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26 publications · 2.3K citations
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21 publications · 6.3K citations
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ASM · 17 publications · 2.3K citations
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MBR · 17 publications · 3K citations
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20 publications · 675 citations
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