Error Variance Decomposition
Error Variance Decomposition is the systematic partitioning of total observed score variance into distinct variance components attributable to specific sources of measurement error within the framework of Generalizability Theory.
434
Publications
70.2K
Citations
848
Authors
460
Institutions
Publications per year
2017–2026
54
Variants
Absolute Error VarianceRelative Error Variance
Parents
434
1–5 of 434
848
4
h-index
4
h-index
4
h-index
3
h-index
3
h-index
1–5 of 848
460
University of Iowa
Iowa City, United States
6 h-index
10 publications
365 citations
Purdue University West Lafayette
West Lafayette, United States
5 h-index
6 publications
172 citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
10 publications
566 citations
Educational Testing Service
Princeton, United States
5 h-index
8 publications
428 citations
KU Leuven
Leuven, Belgium
5 h-index
8 publications
215 citations

UNSW Sydney
Sydney, Australia
5 h-index
7 publications
2.6K citations

Vanderbilt University
Nashville, United States
5 h-index
9 publications
1.5K citations

Australian National University
Canberra, Australia
4 h-index
6 publications
135 citations
1–8 of 460
10 publications · 771 citations
10
h-index
9 publications · 952 citations
9
h-index
9 publications · 435 citations
9
h-index
8 publications · 1.1K citations
8
h-index
8 publications · 1K citations
8
h-index
1–5