Factor-based Benchmarks

Factor-Based Benchmarks is a type of benchmark in empirical research that consists of systematically constructed evaluation criteria derived from theoretical or statistical factors to isolate and assess specific dimensions of performance, thereby distinguishing it from broad or composite benchmarks by targeting latent variables or underlying constructs of interest.

62

Publications

9.1K

Citations

133

Authors

81

Institutions

Publications per year

2017–2026

16

Authors

133

  1. MG
    Melissa Gordon Wolf

    University of California, Santa Barbara, United States

    3 publications · 199 citations

    3

    h-index

  2. DM
    Daniel McNeish

    Arizona State University, United States

    3 publications · 199 citations

    3

    h-index

  3. MZ
    Mohamed Zairi

    University of Bradford, United Kingdom

    2 publications · 126 citations

    2

    h-index

  4. TL
    Ted Landsman

    2 publications · 51 citations

    2

    h-index

  5. GP
    Gayle Privette

    University of West Florida, United States

    2 publications · 51 citations

    2

    h-index

1–5 of 133

Venues

  1. SSRN Electronic Journal

    Repository · 5 publications · 362 citations

    5

    h-index

  2. 3

    h-index

  3. Journal of Personality and Social Psychology

    2 publications · 51 citations

    2

    h-index

  4. Behavior Research Methods

    BRM · 2 publications · 218 citations

    2

    h-index

  5. Multivariate Behavioral Research

    MBR · 2 publications · 700 citations

    2

    h-index

1–5