Two-parameter Logistic Model Fit

Two-Parameter Logistic Model Fit is a statistical assessment method used to evaluate the goodness-of-fit of a two-parameter logistic model, which characterizes item response theory data by item difficulty and discrimination parameters, distinguishing it from other model fit approaches by its specific parameterization and logistic functional form.

102

Publications

6.2K

Citations

269

Authors

157

Institutions

Publications per year

2017–2026

20

Authors

269

  1. CS
    Craig S. Wells

    University of Massachusetts Amherst, United States

    3 publications · 139 citations

    3

    h-index

  2. FD
    Fritz Drasgow

    University of Illinois Urbana-Champaign, United States

    3 publications · 266 citations

    3

    h-index

  3. NG
    Niels G. Waller

    University of Minnesota, United States

    3 publications · 335 citations

    3

    h-index

  4. RR
    Rob R. Meijer

    University of Groningen, Netherlands

    3 publications · 40 citations

    3

    h-index

  5. CM
    Carol M. Woods

    Washington University in St. Louis, United States

    2 publications · 45 citations

    2

    h-index

1–5 of 269

Venues

  1. Applied Psychological Measurement

    10 publications · 892 citations

    10

    h-index

  2. Educational and Psychological Measurement

    6 publications · 178 citations

    6

    h-index

  3. Psychometrika

    5 publications · 266 citations

    5

    h-index

  4. 3

    h-index

  5. Psychological Assessment

    3 publications · 84 citations

    3

    h-index

1–5