Factor Indeterminacy

Factor Indeterminacy is a theoretical limitation in factor analysis whereby the true underlying factors cannot be uniquely determined from the observed data, despite the estimation of factor scores, because an infinite number of factor solutions can reproduce the same correlation matrix under rotational indeterminacy.

156

Publications

21.9K

Citations

219

Authors

149

Institutions

Publications per year

2017–2026

15

Variants

Factor Score Indeterminacy

Authors

219

  1. SA
    Stanley A. Mulaik

    Georgia Institute of Technology, United States

    7 publications · 480 citations

    7

    h-index

  2. JH
    James H. Steiger

    University of British Columbia, Canada

    6 publications · 357 citations

    6

    h-index

  3. RP
    Roderick P. McDonald

    Institute for Christian Studies, Canada

    6 publications · 265 citations

    6

    h-index

  4. WF
    Wayne F. Velicer

    University of Rhode Island, United States

    3 publications · 922 citations

    3

    h-index

  5. HF
    Henry F. Kaiser

    University of California, Berkeley, United States

    3 publications · 8K citations

    3

    h-index

1–5 of 219

Venues

  1. Psychometrika

    23 publications · 9K citations

    20

    h-index

  2. Multivariate Behavioral Research

    MBR · 15 publications · 2.8K citations

    14

    h-index

  3. Psychological Bulletin

    12 publications · 2.2K citations

    12

    h-index

  4. Educational and Psychological Measurement

    10 publications · 988 citations

    10

    h-index

  5. 6

    h-index

1–5