Higher-order Factor Models

Higher-Order Factor Models is a hierarchical factor analysis model in which higher-level latent factors are defined to explain the correlations among lower-level primary factors, thereby distinguishing it from standard factor models by incorporating multiple levels of abstraction in the structural representation of psychological or behavioral constructs.

597

Publications

73.4K

Citations

1.6K

Authors

687

Institutions

Publications per year

2017–2026

121

Variants

Higher-order Factor Analysis

Authors

1.6K

  1. MW
    Marley W. Watkins

    Pennsylvania State University, United States

    13 publications · 1.2K citations

    13

    h-index

  2. GE
    Gilles E. Gignac

    The University of Western Australia, Australia

    8 publications · 756 citations

    8

    h-index

  3. GL
    Gary L. Canivez

    Eastern Illinois University, United States

    7 publications · 496 citations

    7

    h-index

  4. HW
    Herbert W. Marsh

    Western Sydney University, Australia

    7 publications · 4.2K citations

    7

    h-index

  5. RF
    Robert F. Krueger

    University of Minnesota, United States

    6 publications · 553 citations

    6

    h-index

1–5 of 1.6K

Venues

  1. Psychological Assessment

    26 publications · 2.3K citations

    22

    h-index

  2. Personality and Individual Differences

    21 publications · 6.3K citations

    18

    h-index

  3. Assessment

    ASM · 17 publications · 2.3K citations

    16

    h-index

  4. Multivariate Behavioral Research

    MBR · 17 publications · 3K citations

    15

    h-index

  5. Educational and Psychological Measurement

    20 publications · 675 citations

    14

    h-index

1–5