Information-based Test Design
Information-Based Test Design is a systematic methodology in psychometric test development that belongs to the class of test design approaches and is distinguished by its explicit optimization of item selection and test assembly based on the statistical information function derived from item response theory to maximize measurement precision at targeted proficiency levels.
17
Publications
641
Citations
32
Authors
18
Institutions
Publications per year
2017–2026
1
Parents
17
1–5 of 17
32
2
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 32
18
University of California, Los Angeles
Los Angeles, United States
2 h-index
2 publications
68 citations

University of Twente
Enschede, The Netherlands
2 h-index
2 publications
74 citations
University of Kansas
Lawrence, United States
1 h-index
1 publications
12 citations

Universidad Nacional de Educación a Distancia
Madrid, Spain
1 h-index
2 publications
326 citations
Minghsin University of Science and Technology
Hsinchu, Taiwan
1 h-index
1 publications
19 citations

Veterans Health Administration
Washington D.C., United States
1 h-index
1 publications
21 citations
Leibniz Institute for Psychology
Trier, Germany
1 h-index
4 publications
88 citations
Precision Therapeutics (United States)
Pittsburgh, United States
1 h-index
1 publications
72 citations
1–8 of 18
2 publications · 98 citations
2
h-index
RSR · 1 publications · 22 citations
1
h-index
1 publications · 19 citations
1
h-index
MECD · 1 publications · 15 citations
1
h-index
1 publications · 12 citations
1
h-index
1–5