G-theory Estimation

G-Theory Estimation is a statistical methodology within measurement theory that uniquely quantifies the precision of measurements by partitioning variance components attributable to different sources of error in a given assessment design, thereby enabling the prediction of dependability coefficients across varied conditions.

15

Publications

436

Citations

28

Authors

19

Institutions

Publications per year

2017–2026

10

Variants

Generalizability Theory Estimation

Authors

28

  1. WP
    Walter P. Vispoel

    University of Iowa, United States

    5 publications · 180 citations

    5

    h-index

  2. CA
    Carrie A. Morris

    University of Iowa, United States

    4 publications · 166 citations

    4

    h-index

  3. MJ
    Michael J. Larson

    Brigham Young University, United States

    2 publications · 76 citations

    2

    h-index

  4. SA
    Scott A. Baldwin

    Brigham Young University, United States

    2 publications · 76 citations

    2

    h-index

  5. PE
    Peter E. Clayson

    Brigham Young University, United States

    2 publications · 76 citations

    2

    h-index

1–5 of 28

Venues

  1. Journal of Educational Measurement

    3 publications · 58 citations

    3

    h-index

  2. Psychological Methods

    2 publications · 110 citations

    2

    h-index

  3. Journal of Personality Assessment

    2 publications · 51 citations

    2

    h-index

  4. The Journal of Early Adolescence

    1 publications · 22 citations

    1

    h-index

  5. International Journal of Psychophysiology

    1 publications · 62 citations

    1

    h-index

1–5