Probability Thresholds

Probability Thresholds is a decision criterion in criterion-referenced test score standard setting that specifies the minimum probability of correct performance required for an examinee to be classified as having achieved mastery of a given competency, distinguishing it from other cut-score determination methods by its reliance on probabilistic judgments derived from subject matter expert ratings.

71

Publications

6.1K

Citations

286

Authors

149

Institutions

Publications per year

2017–2026

19

Authors

286

  1. ZK
    Zuzana Koscova

    Czech Academy of Sciences, Institute of Scientific Instruments, Czechia

    2 publications · 72 citations

    2

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  2. PJ
    Pavel Jurák

    Czech Academy of Sciences, Institute of Scientific Instruments, Czechia

    2 publications · 72 citations

    2

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  3. YZ
    Ying Zhang

    UNSW Sydney, Australia

    2 publications · 172 citations

    2

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  4. FP
    Filip Plešinger

    Czech Academy of Sciences, Institute of Scientific Instruments, Czechia

    2 publications · 72 citations

    2

    h-index

  5. XL
    Xuemin Lin

    UNSW Sydney, Australia

    2 publications · 172 citations

    2

    h-index

1–5 of 286

Venues

  1. American Journal of Political Science

    AJPS · 2 publications · 304 citations

    2

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  2. Frontiers in Neuroscience

    1 publications · 47 citations

    1

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  3. British journal of surgery

    BJS · 1 publications · 63 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 49 citations

    1

    h-index

  5. 1

    h-index

1–5