Mixed Facets

Mixed Facets is a singular methodological framework in generalizability theory that integrates both fixed and random facets within a single G-study design to account for variability arising from different sources of measurement conditions.

6

Publications

141

Citations

30

Authors

13

Institutions

Publications per year

2017–2026

4

Authors

30

  1. PB
    Paweł Brzóska

    Cardinal Stefan Wyszynski University in Warsaw, Poland

    1 publications · 16 citations

    1

    h-index

  2. HS
    Hillary Smith

    Florida State University, United States

    1 publications · 16 citations

    1

    h-index

  3. JP
    Jarosław Piotrowski

    Cardinal Stefan Wyszynski University in Warsaw, Poland

    1 publications · 16 citations

    1

    h-index

  4. XZ
    Xi Zhang

    KU Leuven, Belgium

    1 publications · 29 citations

    1

    h-index

  5. FR
    Fangfang Ren

    Soochow University, China

    1 publications · 43 citations

    1

    h-index

1–5 of 30

Venues

  1. Advanced Materials Interfaces

    1 publications · 24 citations

    1

    h-index

  2. Psychiatry Research

    1 publications · 16 citations

    1

    h-index

  3. The Journal of Physical Chemistry Letters

    1 publications · 13 citations

    1

    h-index

  4. Scientific Reports

    1 publications · 43 citations

    1

    h-index

  5. Bioresource Technology

    1 publications · 29 citations

    1

    h-index

1–5