Nested Model Testing
Nested Model Testing is a statistical hypothesis testing framework used in structural equation modeling to assess metric invariance by comparing the goodness-of-fit of a constrained model nested within a less restricted parent model, where the distinguishing feature is the sequential imposition of equality constraints on factor loadings across groups to evaluate measurement equivalence.
125
Publications
29.7K
Citations
222
Authors
152
Institutions
Publications per year
2017–2026
16
Variants
Nested Model Comparison
Parents
125
Herbert W. Marsh, Kit‐Tai Hau, Zhonglin Wen · Structural Equation Modeling A Multidisciplinary Journal · 2004 · 6.5K citations
Social Sciences, Behavioral Sciences, Generalizability Theory +15
1–5 of 125
222
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University of North Carolina at Chapel Hill, United States
4 publications · 257 citations
4
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4
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3
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1–5 of 222
152
Federal Reserve Bank of Cleveland
Cleveland, United States
3 h-index
3 publications
840 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
3 publications
314 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
5 publications
284 citations

The University of Western Australia
Perth, Australia
3 h-index
3 publications
113 citations

Australian National University
Canberra, Australia
3 h-index
4 publications
243 citations

Federal Reserve Bank of St. Louis
St Louis, United States
3 h-index
3 publications
329 citations
Texas A&M University
College Station, United States
3 h-index
3 publications
115 citations
University of California San Diego
San Diego, United States
3 h-index
3 publications
10.5K citations
1–8 of 152
SEM · 13 publications · 7.1K citations
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12 publications · 3.1K citations
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5 publications · 105 citations
5
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4 publications · 132 citations
4
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4 publications · 292 citations
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