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

Authors

32

  1. JE
    James E. Bruno

    University of California, Los Angeles, United States

    2 publications · 68 citations

    2

    h-index

  2. AM
    Anne‐Kathrin Mayer

    Leibniz Institute for Psychology, Germany

    1 publications · 22 citations

    1

    h-index

  3. JN
    John N. Bassili

    The Scarborough Hospital, Canada

    1 publications · 10 citations

    1

    h-index

  4. SS
    Stephanie Sterling Brasley

    Chancellor University, United States

    1 publications · 12 citations

    1

    h-index

  5. LC
    Long‐Sheng Chen

    Chaoyang University of Technology, Taiwan

    1 publications · 19 citations

    1

    h-index

1–5 of 32

Venues

  1. Applied Measurement in Education

    2 publications · 98 citations

    2

    h-index

  2. Reference Services Review

    RSR · 1 publications · 22 citations

    1

    h-index

  3. Computers in Industry

    1 publications · 19 citations

    1

    h-index

  4. Measurement and Evaluation in Counseling and Development

    MECD · 1 publications · 15 citations

    1

    h-index

  5. Computers in libraries

    1 publications · 12 citations

    1

    h-index

1–5