Multifacet Designs

Multifacet Designs is a measurement design within Generalizability Theory that incorporates multiple sources of variation—such as persons, raters, items, and occasions—structured as distinct facets to enable the simultaneous analysis of their individual and interactive effects on score dependability.

34

Publications

2.5K

Citations

68

Authors

30

Institutions

Publications per year

2017–2026

3

Authors

68

  1. RL
    Robert L. Brennan

    University of Iowa, United States

    2 publications · 61 citations

    2

    h-index

  2. SJ
    Sreelata Jonnalagedda

    Indian Institute of Management Bangalore, India

    1 publications · 14 citations

    1

    h-index

  3. JW
    Jürgen W. Falter

    Universität der Bundeswehr München, Germany

    1 publications · 13 citations

    1

    h-index

  4. PM
    Paul M. Sniderman

    Stanford University, United States

    1 publications · 262 citations

    1

    h-index

  5. EC
    E. C. Tolman

    University of California, Berkeley, United States

    1 publications · 12 citations

    1

    h-index

1–5 of 68

Venues

  1. Food Quality and Preference

    2 publications · 108 citations

    2

    h-index

  2. Educational and Psychological Measurement

    2 publications · 38 citations

    2

    h-index

  3. Evaluation and Program Planning

    2 publications · 95 citations

    2

    h-index

  4. Quality & Quantity

    2 publications · 36 citations

    2

    h-index

  5. 1

    h-index

1–5