Polyserial Correlation

Polyserial Correlation is a statistical measure that belongs to the class of correlation coefficients, specifically designed to estimate the relationship between a continuous variable and an ordinal variable by assuming an underlying bivariate normal distribution.

22

Publications

2.9K

Citations

67

Authors

50

Institutions

Publications per year

2017–2026

5

Authors

67

  1. SL
    Sik‐Yum Lee

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 172 citations

    3

    h-index

  2. WP
    Wai‐Yin Poon

    Chinese University of Hong Kong, Hong Kong SAR China

    2 publications · 155 citations

    2

    h-index

  3. GC
    Germà Coenders

    Universitat de Girona, Spain

    2 publications · 127 citations

    2

    h-index

  4. WE
    Willem E. Saris

    Universitat Pompeu Fabra, Spain

    2 publications · 127 citations

    2

    h-index

  5. TJ
    T. Joseph Sheehan

    UConn Health, United States

    1 publications · 343 citations

    1

    h-index

1–5 of 67

Venues

  1. Psychometrika

    3 publications · 458 citations

    3

    h-index

  2. Structural Equation Modeling A Multidisciplinary Journal

    SEM · 2 publications · 127 citations

    2

    h-index

  3. IEICE Transactions on Information and Systems

    1 publications · 10 citations

    1

    h-index

  4. Behaviormetrika

    1 publications · 15 citations

    1

    h-index

  5. Studies in Second Language Acquisition

    SSLA · 1 publications · 18 citations

    1

    h-index

1–5