Infit Statistics

Infit Statistics is a fit measurement index in item response theory that quantifies the degree of agreement between observed responses and expected responses under a psychometric model, specifically weighted by information content to emphasize responses with higher precision.

24

Publications

1.1K

Citations

114

Authors

66

Institutions

Publications per year

2017–2026

8

Variants

Infit

Authors

114

  1. PA
    Pascal Auquier

    Aix-Marseille Université, France

    2 publications · 46 citations

    2

    h-index

  2. CB
    Chris Bradley

    Johns Hopkins University, United States

    1 publications · 12 citations

    1

    h-index

  3. LB
    Laurent Boyer

    Aix-Marseille Université, France

    1 publications · 27 citations

    1

    h-index

  4. AW
    Allen W. Heinemann

    Shirley Ryan AbilityLab, United States

    1 publications · 16 citations

    1

    h-index

  5. AL
    Anderson Loundou

    Aix-Marseille Université, France

    1 publications · 19 citations

    1

    h-index

1–5 of 114

Venues

  1. Journal of Rehabilitation Medicine

    2 publications · 101 citations

    2

    h-index

  2. Journal of Aging and Physical Activity

    JAPA · 1 publications · 77 citations

    1

    h-index

  3. Frontiers in Neurology

    1 publications · 55 citations

    1

    h-index

  4. Scientific Reports

    1 publications · 27 citations

    1

    h-index

  5. Eurasian Journal of Educational Research

    EJER · 1 publications · 20 citations

    1

    h-index

1–5