Outfit Statistics

Outfit Statistics is a person-fit statistic that belongs to the class of outlier-sensitive fit indices, distinguished by its reliance on standardized residuals to detect misfit in individuals' response patterns within item response theory models.

30

Publications

1.2K

Citations

105

Authors

51

Institutions

Publications per year

2017–2026

11

Authors

105

  1. GE
    George Engelhard

    Emory University, United States

    2 publications · 37 citations

    2

    h-index

  2. BR
    Barbara Resnick

    University of Maryland, Baltimore, United States

    2 publications · 88 citations

    2

    h-index

  3. MB
    Marie Boltz

    Pennsylvania State University, United States

    2 publications · 26 citations

    2

    h-index

  4. EG
    Elizabeth Galik

    University of Maryland, Baltimore, United States

    2 publications · 26 citations

    2

    h-index

  5. CR
    Cécile Rousseau

    McGill University, Canada

    1 publications · 24 citations

    1

    h-index

1–5 of 105

Venues

  1. IEEE Signal Processing Magazine

    1 publications · 31 citations

    1

    h-index

  2. Home Economics Research Journal

    1 publications · 16 citations

    1

    h-index

  3. Universal Journal of Educational Research

    1 publications · 18 citations

    1

    h-index

  4. Saudi Pharmaceutical Journal

    1 publications · 10 citations

    1

    h-index

  5. Journal of Housing for the Elderly

    1 publications · 11 citations

    1

    h-index

1–5