Test Information Maximization is a psychometric principle within item response theory that refers to the strategy of selecting test items or constructing tests to maximize the precision of ability estimation by optimizing the amount of information provided at targeted levels of the latent trait continuum.
54
Publications
13.1K
Citations
94
Authors
51
Institutions
Publications per year
2017–2026
7
Parents
Publications
54
1–5 of 54
Authors
94
- HC
6
h-index
- WJ
4
h-index
- BP
3
h-index
- ZY
3
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- KH
3
h-index
1–5 of 94
Institutions
51
University of Twente
Enschede, The Netherlands
8 h-index
14 publications
682 citations
The University of Texas at Austin
Austin, United States
4 h-index
7 publications
222 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
7 publications
401 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
4 publications
403 citations
Educational Testing Service
Princeton, United States
3 h-index
3 publications
448 citations
Cito (Netherlands)
Arnhem, Netherlands
3 h-index
5 publications
106 citations
University of Glasgow
Glasgow, United Kingdom
2 h-index
4 publications
21K citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
2 publications
10.5K citations
1–8 of 51
Venues
- Applied Psychological Measurement
18 publications · 1.2K citations
13
h-index
- Psychometrika
6 publications · 280 citations
6
h-index
- Journal of Educational and Behavioral Statistics
5 publications · 174 citations
5
h-index
- Journal of Educational Measurement
3 publications · 80 citations
3
h-index
- Assessment
ASM · 2 publications · 114 citations
2
h-index
1–5