Test Information Functions

Test Information Function is a mathematical function in item response theory that quantifies the amount of information a test provides about an examinee's latent trait at a given level of ability, distinguishing itself from item-level information functions by aggregating the contributions of all items in the test.

149

Publications

14.6K

Citations

230

Authors

136

Institutions

Publications per year

2017–2026

18

Authors

230

  1. WJ
    Wim J. van der Linden

    University of Twente, Netherlands

    7 publications · 773 citations

    7

    h-index

  2. EB
    Ellen Boekkooi-Timminga

    University of Twente, Netherlands

    4 publications · 146 citations

    4

    h-index

  3. DT
    David Thissen

    University of North Carolina at Chapel Hill, United States

    4 publications · 1.6K citations

    4

    h-index

  4. PW
    Peter W. van Rijn

    Educational Testing Service, United States

    4 publications · 91 citations

    4

    h-index

  5. US
    Usama S. Ali

    Educational Testing Service, United States

    3 publications · 58 citations

    3

    h-index

1–5 of 230

Venues

  1. Applied Psychological Measurement

    21 publications · 1.2K citations

    17

    h-index

  2. Psychometrika

    15 publications · 3.2K citations

    14

    h-index

  3. Journal of Educational Measurement

    12 publications · 1.4K citations

    12

    h-index

  4. 5

    h-index

  5. Applied Measurement in Education

    5 publications · 198 citations

    5

    h-index

1–5