Experimental Design Validity

Experimental Design Validity is the extent to which an experimental design accurately and systematically reflects the intended causal relationships between variables, distinguishing it from superficial or confounded arrangements by ensuring that observed effects are attributable to the manipulated independent variables rather than extraneous factors.

356

Publications

50.5K

Citations

750

Authors

336

Institutions

Publications per year

2017–2026

69

Authors

750

  1. GV
    Gene V. Glass

    University of Colorado System, United States

    4 publications · 1.3K citations

    4

    h-index

  2. NR
    Norman R. Draper

    University of Wisconsin–Madison, United States

    3 publications · 86 citations

    3

    h-index

  3. SL
    Shari Lawrence Pfleeger

    RAND Corporation, United States

    3 publications · 188 citations

    3

    h-index

  4. DJ
    Duncan J. Watts

    Microsoft (United States), United States

    3 publications · 157 citations

    3

    h-index

  5. AA
    Abdullah Almaatouq

    Massachusetts Institute of Technology, United States

    3 publications · 157 citations

    3

    h-index

1–5 of 750

Venues

  1. Technometrics

    14 publications · 845 citations

    14

    h-index

  2. Journal of Quality Technology

    10 publications · 469 citations

    10

    h-index

  3. Psychological Bulletin

    9 publications · 2K citations

    9

    h-index

  4. Journal of the American Statistical Association

    7 publications · 3.1K citations

    7

    h-index

  5. The American Journal of Psychology

    AJP · 6 publications · 8.4K citations

    6

    h-index

1–5