Item Factor Analysis is a specialized form of factor analysis, belonging to the broader class of latent variable models, that specifically analyzes dichotomous or polytomous item-level responses in order to estimate the underlying latent constructs and item parameters in educational and psychological measurement.
994
Publications
77.1K
Citations
2.8K
Authors
1.1K
Institutions
Publications per year
2017–2026
182
Variants
Ifa
Parents
Publications
994
1–5 of 994
Authors
2.8K
- AL
11
h-index
- PJ
7
h-index
- UL
7
h-index
- AM
6
h-index
- MW
6
h-index
1–5 of 2.8K
Institutions
1.1K
University of California, Los Angeles
Los Angeles, United States
19 h-index
39 publications
2.4K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
13 h-index
30 publications
4.9K citations
University of Washington
Seattle, United States
11 h-index
18 publications
1.6K citations
Pennsylvania State University
State College, United States
10 h-index
13 publications
1.3K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
9 h-index
9 publications
607 citations
Educational Testing Service
Princeton, United States
9 h-index
21 publications
1.5K citations
University of Virginia
Charlottesville, United States
9 h-index
16 publications
1K citations
Temple University
Philadelphia, United States
8 h-index
14 publications
818 citations
1–8 of 1.1K
Venues
- Educational and Psychological Measurement
72 publications · 5.1K citations
35
h-index
- Psychological Assessment
26 publications · 2.4K citations
21
h-index
- Journal of Clinical Psychology
22 publications · 3.8K citations
18
h-index
- Psychological Reports
26 publications · 1.7K citations
16
h-index
- Journal of Personality Assessment
18 publications · 2.1K citations
15
h-index
1–5