Linear Score Transformation

Linear Score Transformation is a score scaling method that adjusts raw test scores through a linear function defined by a constant mean shift and proportional scaling, preserving the original distribution's shape while aligning it to a desired scale.

31

Publications

1.3K

Citations

90

Authors

54

Institutions

Publications per year

2017–2026

7

Variants

Linear Score Scaling

Authors

90

  1. NJ
    Neil J. Dorans

    Educational Testing Service, United States

    2 publications · 73 citations

    2

    h-index

  2. TC
    Tae-Jeong Choi

    National Institute of Animal Science, South Korea

    1 publications · 12 citations

    1

    h-index

  3. FP
    Flávio P. Calmon

    Harvard University Press, United States

    1 publications · 18 citations

    1

    h-index

  4. SS
    Savino Sciascia

    University of Turin, Italy

    1 publications · 104 citations

    1

    h-index

  5. PH
    Patricia H. Krus

    Arizona State University, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 90

Venues

  1. Journal of Clinical Psychology

    2 publications · 46 citations

    2

    h-index

  2. ETS Research Report Series

    2 publications · 47 citations

    2

    h-index

  3. Applied Measurement in Education

    1 publications · 25 citations

    1

    h-index

  4. The Journal of Experimental Education

    1 publications · 38 citations

    1

    h-index

  5. European Journal of Cancer

    1 publications · 87 citations

    1

    h-index

1–5