Classification Accuracy Index

The Classification Accuracy Index is a quantitative metric within the Contrasting Groups Method that measures the proportion of correctly classified cases when assigning individuals to performance categories based on predefined cut scores, distinguishing itself from other validity indices by focusing specifically on classification consistency between empirical data and expert judgments.

105

Publications

11.3K

Citations

352

Authors

178

Institutions

Publications per year

2017–2026

54

Authors

352

  1. MJ
    Manjari Joshi

    University of Maryland, Baltimore, United States

    2 publications · 42 citations

    2

    h-index

  2. WL
    Won‐Chan Lee

    University of Iowa, United States

    2 publications · 91 citations

    2

    h-index

  3. RA
    Reza Abbasi-Asl

    University of California, San Francisco, United States

    2 publications · 48 citations

    2

    h-index

  4. RL
    Robert L. Brennan

    University of Iowa, United States

    2 publications · 91 citations

    2

    h-index

  5. JL
    José Luis García Balboa

    Universidad de Jaén, Spain

    2 publications · 64 citations

    2

    h-index

1–5 of 352

Venues

  1. Applied Psychological Measurement

    4 publications · 131 citations

    4

    h-index

  2. Statistics in Medicine

    3 publications · 369 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 61 citations

    3

    h-index

  4. 2

    h-index

  5. Frontiers in Aging Neuroscience

    2 publications · 252 citations

    2

    h-index

1–5