Rasch Model Fit

Rasch Model Fit is a statistical evaluation method used in psychometrics to assess the degree to which empirical data conform to the probabilistic structure predicted by the Rasch model, ensuring that item and person parameters are invariantly measurable on a common latent scale.

1.4K

Publications

89K

Citations

4K

Authors

1.6K

Institutions

Publications per year

2017–2026

427

Variants

Rasch Fit

Authors

4K

  1. AT
    Alan Tennant

    University of Leeds, United Kingdom

    66 publications · 7.4K citations

    41

    h-index

  2. JP
    Julie Pallant

    The University of Melbourne, Australia

    23 publications · 3.6K citations

    22

    h-index

  3. KP
    Konrad Pesudovs

    Flinders University, Australia

    20 publications · 2K citations

    19

    h-index

  4. AK
    Anders Kottorp

    Karolinska Institutet, Sweden

    17 publications · 683 citations

    16

    h-index

  5. EL
    Ecosse L. Lamoureux

    Singapore Eye Research Institute, Singapore

    16 publications · 1.2K citations

    15

    h-index

1–5 of 4K

Venues

  1. Health and Quality of Life Outcomes

    HQLO · 47 publications · 3.4K citations

    31

    h-index

  2. PubMed

    Repository · 61 publications · 3.6K citations

    30

    h-index

  3. Psychometrika

    27 publications · 6.3K citations

    23

    h-index

  4. Applied Psychological Measurement

    35 publications · 3.9K citations

    23

    h-index

  5. Journal of Rehabilitation Medicine

    31 publications · 1.8K citations

    22

    h-index

1–5