Three-parameter Logistic Model Fit

Three-Parameter Logistic Model Fit is a statistical assessment method that evaluates the compatibility between observed item response data and the theoretical expectations of a three-parameter logistic item response theory model by estimating item difficulty, discrimination, and pseudo-guessing parameters to determine model adequacy.

129

Publications

11K

Citations

299

Authors

144

Institutions

Publications per year

2017–2026

21

Authors

299

  1. FD
    Fritz Drasgow

    University of Illinois Urbana-Champaign, United States

    5 publications · 413 citations

    5

    h-index

  2. WM
    Wendy M. Yen

    Healing Foundation, Australia

    5 publications · 1.2K citations

    5

    h-index

  3. LT
    Louis Tay

    Purdue University West Lafayette, United States

    3 publications · 129 citations

    3

    h-index

  4. RC
    Robert C. Sykes

    University of Chicago, United States

    3 publications · 73 citations

    3

    h-index

  5. EB
    Ellen Boekkooi-Timminga

    University of Twente, Netherlands

    2 publications · 117 citations

    2

    h-index

1–5 of 299

Venues

  1. Applied Psychological Measurement

    23 publications · 2K citations

    17

    h-index

  2. Educational and Psychological Measurement

    9 publications · 320 citations

    9

    h-index

  3. Applied Measurement in Education

    5 publications · 192 citations

    5

    h-index

  4. Psychometrika

    5 publications · 278 citations

    5

    h-index

  5. ETS Research Report Series

    3 publications · 45 citations

    3

    h-index

1–5