Psychometric Dimensionality

Psychometric Dimensionality is a construct in psychometric theory that refers to the minimum number of latent variables required to account for the observed covariances among a set of measured variables in a psychological or educational assessment context.

817

Publications

83.9K

Citations

2.6K

Authors

1.1K

Institutions

Publications per year

2017–2026

227

Authors

2.6K

  1. LE
    Luís Eduardo Garrido

    Pontificia Universidad Católica Madre y Maestra, Dominican Republic

    9 publications · 744 citations

    9

    h-index

  2. HG
    Hudson Golino

    University of Virginia, United States

    8 publications · 538 citations

    8

    h-index

  3. AP
    Alexander P. Christensen

    University of North Carolina at Greensboro, United States

    8 publications · 517 citations

    8

    h-index

  4. FJ
    Francisco J. Abad

    Universidad Autónoma de Madrid, Spain

    6 publications · 587 citations

    6

    h-index

  5. DS
    Dubravka Svetina

    Indiana University Bloomington, United States

    5 publications · 82 citations

    5

    h-index

1–5 of 2.6K

Venues

  1. Educational and Psychological Measurement

    26 publications · 1.6K citations

    20

    h-index

  2. Psychological Assessment

    18 publications · 3.3K citations

    16

    h-index

  3. Journal of Personality Assessment

    16 publications · 2.4K citations

    15

    h-index

  4. PubMed

    Repository · 18 publications · 777 citations

    14

    h-index

  5. Applied Psychological Measurement

    18 publications · 2K citations

    14

    h-index

1–5