Hierarchical Factor Models
Hierarchical Factor Models is a latent variable modeling framework that structures observed variables under multiple levels of latent factors, distinguishing itself by organizing these latent factors in a hierarchical arrangement where higher-order factors influence lower-order ones, thereby capturing both general and specific dimensions of the underlying construct.
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60.8K
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575
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2017–2026
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Using Self-Report Assessment Methods to Explore Facets of Mindfulness
Ruth A. Baer, Gregory T. Smith, Jaclyn Hopkins et al. · Assessment · 2006 · 7.5K citations
Four ways five factors are basic
Paul T. Costa, Robert R. McCrae · Personality and Individual Differences · 1992 · 3.4K citations
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Eastern Illinois University
Charleston, United States
10 h-index
10 publications
545 citations
University of Illinois Urbana-Champaign
Urbana, United States
9 h-index
14 publications
3.4K citations
The Ohio State University
Columbus, United States
8 h-index
10 publications
901 citations
University of Zurich
Zurich, Switzerland
7 h-index
12 publications
1.4K citations
University of California, Los Angeles
Los Angeles, United States
7 h-index
10 publications
620 citations

University of Minnesota
Minneapolis, United States
7 h-index
13 publications
1.2K citations
Emory University
Atlanta, United States
6 h-index
10 publications
711 citations
Virginia Tech
Blacksburg, United States
6 h-index
8 publications
542 citations
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17 publications · 2.9K citations
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ASM · 10 publications · 8.1K citations
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