Model Test Correlations

Model Test Correlations is a methodological construct in psychometrics that specifies the degree to which a theoretical model of test performance accounts for observed covariation among test scores, distinguishing it from general correlation analyses by its focus on validating structural assumptions in measurement models.

24

Publications

1.3K

Citations

85

Authors

39

Institutions

Publications per year

2017–2026

5

Authors

85

  1. SC
    Smita C. Banerjee

    Memorial Sloan Kettering Cancer Center, United States

    2 publications · 108 citations

    2

    h-index

  2. LA
    Lily A. Arasaratnam

    Alphacrucis University College, Australia

    2 publications · 108 citations

    2

    h-index

  3. CH
    Chris H. Polman

    Amsterdam UMC Location Vrije Universiteit Amsterdam, Netherlands

    1 publications · 100 citations

    1

    h-index

  4. GC
    Guoxin Chen

    Sinopec (China), China

    1 publications · 15 citations

    1

    h-index

  5. BL
    Bao Li Zheng

    University of California, Davis, United States

    1 publications · 17 citations

    1

    h-index

1–5 of 85

Venues

  1. The American Statistician

    1 publications · 11 citations

    1

    h-index

  2. 1

    h-index

  3. Journal of Marine Science and Engineering

    1 publications · 31 citations

    1

    h-index

  4. International Journal of Control

    1 publications · 417 citations

    1

    h-index

  5. Journal of Heat Transfer

    1 publications · 12 citations

    1

    h-index

1–5