G-theory Estimation
G-Theory Estimation is a statistical methodology within measurement theory that uniquely quantifies the precision of measurements by partitioning variance components attributable to different sources of error in a given assessment design, thereby enabling the prediction of dependability coefficients across varied conditions.
15
Publications
436
Citations
28
Authors
19
Institutions
Publications per year
2017–2026
10
Variants
Generalizability Theory Estimation
Parents
15
Peter E. Clayson, Kaylie A. Carbine, Scott A. Baldwin et al. · International Journal of Psychophysiology · 2021 · 62 citations
1–5 of 15
28
5
h-index
4
h-index
2
h-index
2
h-index
2
h-index
1–5 of 28
19
University of Iowa
Iowa City, United States
5 h-index
10 publications
346 citations
University of South Florida
Tampa, United States
2 h-index
2 publications
76 citations
California State University, Dominguez Hills
Carson, United States
2 h-index
2 publications
76 citations
Brigham Young University
Provo, United States
2 h-index
6 publications
228 citations
Quantitative BioSciences
Solana Beach, United States
1 h-index
2 publications
56 citations

University of Waikato
Hamilton, New Zealand
1 h-index
2 publications
44 citations
American Institutes for Research
Alexandria, United States
1 h-index
1 publications
12 citations
Statistical Service
Nicosia, Cyprus
1 h-index
2 publications
44 citations
1–8 of 19
3 publications · 58 citations
3
h-index
2 publications · 110 citations
2
h-index
2 publications · 51 citations
2
h-index
1 publications · 22 citations
1
h-index
1 publications · 62 citations
1
h-index
1–5