Second-order Factor Analysis
Second-Order Factor Analysis is a statistical modeling technique within the broader class of factor analytic methods that posits a hierarchical structure in which first-order latent factors are themselves influenced by higher-order latent factors, thereby distinguishing it from standard factor analysis by accounting for commonalities among correlated first-order factors through a second level of latent dimensionality.
1K
Publications
151.6K
Citations
2.4K
Authors
1.1K
Institutions
Publications per year
2017–2026
193
Variants
Higher-order Factor Analysis
Parents
1K
A Rationale and Test for the Number of Factors in Factor Analysis
John L. Horn · Psychometrika · 1965 · 8.6K citations
Hirotugu Akaike · Psychometrika · 1987 · 5.2K citations
1–5 of 1K
2.4K
University of California, Los Angeles, United States
10 publications · 3.3K citations
10
h-index
10
h-index
University of Illinois Urbana-Champaign, United States
9 publications · 1.1K citations
9
h-index
8
h-index
7
h-index
1–5 of 2.4K
1.1K
University of California, Los Angeles
Los Angeles, United States
16 h-index
34 publications
4.6K citations
University of Illinois Urbana-Champaign
Urbana, United States
15 h-index
23 publications
9.8K citations
Texas A&M University
College Station, United States
13 h-index
24 publications
2.2K citations
University of Michigan
Ann Arbor, United States
13 h-index
19 publications
3.2K citations
Educational Testing Service
Princeton, United States
12 h-index
14 publications
4.2K citations
University of Chicago
Chicago, United States
11 h-index
12 publications
5.3K citations
University of Washington
Seattle, United States
11 h-index
22 publications
1.5K citations

University of Amsterdam
Amsterdam, The Netherlands
11 h-index
29 publications
5.4K citations
1–8 of 1.1K
68 publications · 30K citations
43
h-index
35 publications · 13.9K citations
24
h-index
MBR · 22 publications · 4.9K citations
17
h-index
16 publications · 2.4K citations
14
h-index
17 publications · 879 citations
13
h-index
1–5