Measurement Invariance
Measurement invariance is a statistical property of measurement indicating that the factor structure and item parameters of an instrument remain equivalent across specified groups or time points, thereby ensuring the same latent construct is measured consistently.
4.5K
Publications
493.2K
Citations
12.8K
Authors
2.9K
Institutions
Publications per year
2017–2026
985
4.5K
A Rationale and Test for the Number of Factors in Factor Analysis
John L. Horn · Psychometrika · 1965 · 8.6K citations
1–5 of 4.5K
12.8K
37
h-index
24
h-index
21
h-index
18
h-index
17
h-index
1–5 of 12.8K
2.9K
University of California, Los Angeles
Los Angeles, United States
47 h-index
106 publications
17.1K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
37 h-index
78 publications
16.8K citations

Tilburg University
Tilburg, The Netherlands
33 h-index
105 publications
5.2K citations
Arizona State University
Tempe, United States
32 h-index
86 publications
20.6K citations
Educational Testing Service
Princeton, United States
32 h-index
86 publications
9.5K citations

University of Amsterdam
Amsterdam, The Netherlands
31 h-index
115 publications
6.4K citations
University of Illinois Urbana-Champaign
Urbana, United States
29 h-index
74 publications
12.6K citations
Michigan State University
East Lansing, United States
26 h-index
77 publications
6.3K citations
1–8 of 2.9K
158 publications · 44.2K citations
70
h-index
SEM · 163 publications · 50K citations
69
h-index
165 publications · 13.2K citations
56
h-index
MBR · 102 publications · 14K citations
55
h-index
68 publications · 16.7K citations
47
h-index
1–5
See also Measurement Invariance | |
|---|---|
Core Methods | Differential Item Functioning Multi-group Measurement Models Multigroup Item Response Theory |
Invariance Levels | Metric Invariance Scalar Invariance Strict Invariance Configural Invariance |
Evaluation Criteria | |
Applications | |
Limitations | |