Local Independence

Local Independence is an assumption in latent variable and item response theory models that specifies that observed item responses are conditionally independent of one another given the value(s) of the underlying latent variable(s), so that all associations among items are fully explained by those latent traits.

143

Publications

10.1K

Citations

259

Authors

153

Institutions

Publications per year

2017–2026

17

Authors

259

  1. BH
    Brian Habing

    University of South Carolina, United States

    4 publications · 282 citations

    4

    h-index

  2. EH
    Edward H. Ip

    Wake Forest University, United States

    3 publications · 169 citations

    3

    h-index

  3. MW
    Mark Wilson

    University of California, Berkeley, United States

    3 publications · 157 citations

    3

    h-index

  4. DA
    David Andrich

    The University of Western Australia, Australia

    3 publications · 297 citations

    3

    h-index

  5. DL
    Daniel L. Oberski

    Utrecht University, Netherlands

    3 publications · 134 citations

    3

    h-index

1–5 of 259

Venues

  1. Applied Psychological Measurement

    16 publications · 2.2K citations

    15

    h-index

  2. Journal of Educational Measurement

    8 publications · 952 citations

    8

    h-index

  3. The Annals of Statistics

    7 publications · 366 citations

    7

    h-index

  4. Psychometrika

    7 publications · 629 citations

    7

    h-index

  5. Journal of Multivariate Analysis

    6 publications · 123 citations

    6

    h-index

1–5