Level Classification Accuracy

Level Classification Accuracy is a psychometric metric that quantifies the proportion of examinees correctly assigned to their proficiency levels within a classification system, distinguishing it from other accuracy measures by focusing specifically on categorical placement validity in criterion-referenced assessments.

8

Publications

338

Citations

33

Authors

13

Institutions

Publications per year

2017–2026

7

Authors

33

  1. CR
    Cheryl R. Kuske

    Los Alamos National Laboratory, United States

    1 publications · 206 citations

    1

    h-index

  2. ZZ
    Zefei Zhu

    Hangzhou Dianzi University, China

    1 publications · 17 citations

    1

    h-index

  3. OA
    Omar Albatayneh

    German Jordanian University, Jordan

    1 publications · 19 citations

    1

    h-index

  4. HC
    Huarong Chen

    Chinese University of Hong Kong, Hong Kong SAR China

    1 publications · 19 citations

    1

    h-index

  5. KL
    Kuan-Liang Liu

    National Taiwan University, Taiwan

    1 publications · 206 citations

    1

    h-index

1–5 of 33

Venues

  1. Journal of Physics Conference Series

    1 publications · 20 citations

    1

    h-index

  2. Informatics in Medicine Unlocked

    IMU · 1 publications · 30 citations

    1

    h-index

  3. Textile Research Journal

    1 publications · 17 citations

    1

    h-index

  4. Applied and Environmental Microbiology

    AEM · 1 publications · 206 citations

    1

    h-index

  5. International Journal of Pavement Engineering

    1 publications · 19 citations

    1

    h-index

1–5