PowerUp!: A Tool for Calculating Minimum Detectable Effect Sizes and Minimum Required Sample Sizes for Experimental and Quasi-Experimental Design Studies
By N. Dong, R. Maynard. 2013
233 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Developmental and Educational Psychology, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/c566809f343fed781c4a6afcb1d24e7af05e05a0
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In Computer Networks and Communications
In Developmental and Educational Psychology
In Management Science and Operations Research
Citations in the corpus
- Improving Learning in Primary Schools of Developing Countries (2015, background): “Indeed, the literature on power analysis emphasizes that the use of relevant covariates can reduce the minimum detectable effect size (MDES) in randomized experiments, all else equal (Dong & Maynard, 2013).”