G-study Design
G-Study Design is a research framework within Generalizability Theory that specifies the structure and sources of variation in a measurement context to enable the estimation of variance components for assessing the dependability of scores.
29
Publications
974
Citations
77
Authors
49
Institutions
Publications per year
2017–2026
5
Variants
G Study Design
Parents
29
Generalisability: a key to unlock professional assessment
Jim Crossley, Helena Davies, Gerry Humphris et al. · Medical Education · 2002 · 170 citations
The development of the noise sensitivity questionnaire
Martin Schütte, Anke Marks, Edna Wenning et al. · Noise and Health · 2007 · 144 citations · Full text
Kazuhiko Ushio · Discrete Mathematics · 1993 · 44 citations
Arts, Design, Design Theory +4
1–5 of 29
77
3
h-index
2
h-index
1
h-index
1 publications · 11 citations
1
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1
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1–5 of 77
49
University of California, Los Angeles
Los Angeles, United States
4 h-index
6 publications
313 citations
University of Iowa
Iowa City, United States
3 h-index
5 publications
63 citations
University of Geneva
Geneva, Switzerland
1 h-index
5 publications
75 citations
Guangdong Medical College
Zhanjiang, China
1 h-index
2 publications
30 citations
National University of Tainan
Tainan City, Taiwan
1 h-index
1 publications
11 citations
Statistical Research (United States)
Redlands, United States
1 h-index
4 publications
80 citations

Tehran University of Medical Sciences
Tehran, Iran
1 h-index
1 publications
15 citations
Kindai University
Osaka, Japan
1 h-index
1 publications
44 citations
1–8 of 49
4 publications · 166 citations
4
h-index
2 publications · 185 citations
2
h-index
JCGS · 1 publications · 20 citations
1
h-index
1 publications · 21 citations
1
h-index
1 publications · 15 citations
1
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1–5