Horn's Parallel Analysis

Horn's Parallel Analysis is a statistical method used in dimensionality assessment that determines the number of principal components or factors to retain by comparing observed eigenvalues from empirical data with those derived from randomly generated datasets of the same size and structure.

14

Publications

2K

Citations

23

Authors

27

Institutions

Publications per year

2017–2026

3

Variants

Parallel Analysis

Authors

23

  1. AD
    Alexis Dinno

    Portland State University, United States

    3 publications · 433 citations

    3

    h-index

  2. UL
    Urbano Lorenzo‐Seva

    Universitat Rovira i Virgili, Spain

    1 publications · 19 citations

    1

    h-index

  3. ÖÇ
    Ömay Çokluk

    Ankara University, Türkiye

    1 publications · 202 citations

    1

    h-index

  4. RL
    Ross Larsen

    Brigham Young University, United States

    1 publications · 50 citations

    1

    h-index

  5. NK
    Nguwasen Kwahar

    Kwararafa University, Nigeria

    1 publications · 26 citations

    1

    h-index

1–5 of 23

Venues

  1. Psychological test and assessment modeling

    1 publications · 50 citations

    1

    h-index

  2. Journal of Modern Applied Statistical Methods

    JMASM · 1 publications · 23 citations

    1

    h-index

  3. 1

    h-index

  4. Journal of Chemometrics

    1 publications · 50 citations

    1

    h-index

  5. Entrepreneurial Business and Economics Review

    EBER · 1 publications · 26 citations

    1

    h-index

1–5