Classical Test Theory

Classical Test Theory is a psychometric framework that models an observed test score as the sum of a true score and random error, assuming that measurement error is uncorrelated with true scores and has a mean of zero.

348

Publications

30.6K

Citations

537

Authors

291

Institutions

Publications per year

2017–2026

53

Authors

537

  1. WJ
    Wim J. van der Linden

    University of Twente, Netherlands

    8 publications · 265 citations

    8

    h-index

  2. DW
    Donald W. Zimmerman

    Carleton University, Canada

    8 publications · 513 citations

    8

    h-index

  3. RH
    Richard H. Williams

    RCA (United States), United States

    5 publications · 342 citations

    5

    h-index

  4. MR
    Melvin R. Novick

    University of Iowa, United States

    4 publications · 613 citations

    4

    h-index

  5. RL
    Robert L. Brennan

    University of Iowa, United States

    4 publications · 476 citations

    4

    h-index

1–5 of 537

Venues

  1. Psychometrika

    19 publications · 2.3K citations

    17

    h-index

  2. Applied Psychological Measurement

    15 publications · 1.3K citations

    14

    h-index

  3. The Annals of Mathematical Statistics

    16 publications · 1.5K citations

    13

    h-index

  4. Journal of the American Statistical Association

    15 publications · 4.3K citations

    13

    h-index

  5. Educational and Psychological Measurement

    14 publications · 841 citations

    13

    h-index

1–5