Longitudinal Rasch Models

Longitudinal Rasch Models is a statistical modeling framework within item response theory that extends the Rasch model to accommodate repeated categorical measurements over time, enabling the estimation of individual latent traits while accounting for within-subject correlation and temporal changes in item and person parameters.

43

Publications

2.3K

Citations

110

Authors

71

Institutions

Publications per year

2017–2026

8

Authors

110

  1. VS
    Véronique Sebille

    Nantes Université, France

    3 publications · 72 citations

    3

    h-index

  2. MB
    Myriam Blanchin

    Nantes Université, France

    3 publications · 72 citations

    3

    h-index

  3. JH
    Jean-Benoît Hardouin

    Nantes Université, France

    3 publications · 72 citations

    3

    h-index

  4. GM
    Guido Makransky

    University of Copenhagen, Denmark

    2 publications · 58 citations

    2

    h-index

  5. JP
    Julie Pallant

    The University of Melbourne, Australia

    2 publications · 100 citations

    2

    h-index

1–5 of 110

Venues

  1. Statistical Methods in Medical Research

    2 publications · 42 citations

    2

    h-index

  2. Applied Psychological Measurement

    2 publications · 76 citations

    2

    h-index

  3. Health and Quality of Life Outcomes

    HQLO · 2 publications · 128 citations

    2

    h-index

  4. 1

    h-index

  5. Journal of Statistical Planning and Inference

    1 publications · 11 citations

    1

    h-index

1–5