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
356
Statistical Principles in Experimental Design
Paul E. Green, B. J. WINER, Donald R. Brown et al. · Journal of Marketing Research · 1992 · 4.4K citations
Design Experiments in Educational Research
Paul Cobb, Jere Confrey, Andrea A. diSessa et al. · Educational Researcher · 2003 · 3.5K citations
Arts, Design, Educational Psychology +10
Steven J. Spencer, Mark P. Zanna, Geoffrey T. Fong · Journal of Personality and Social Psychology · 2005 · 2.4K citations
1–5 of 356
750
4
h-index
3
h-index
3
h-index
3
h-index
Massachusetts Institute of Technology, United States
3 publications · 157 citations
3
h-index
1–5 of 750
336
Arizona State University
Tempe, United States
9 h-index
13 publications
1.4K citations
Princeton University
Princeton, United States
5 h-index
7 publications
296 citations
Stanford University
Stanford, United States
5 h-index
6 publications
874 citations
University of Michigan
Ann Arbor, United States
5 h-index
7 publications
710 citations
Harvard University
Cambridge, United States
5 h-index
8 publications
452 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
6 publications
291 citations
University of California, Los Angeles
Los Angeles, United States
5 h-index
7 publications
351 citations

University of Toronto
Toronto, Canada
5 h-index
6 publications
161 citations
1–8 of 336
14 publications · 845 citations
14
h-index
10 publications · 469 citations
10
h-index
9 publications · 2K citations
9
h-index
7 publications · 3.1K citations
7
h-index
AJP · 6 publications · 8.4K citations
6
h-index
1–5