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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
social sciences
Power calculation for causal inference in social science: sample size and minimum detectable effect determination
Journal of Development Effectiveness, Volume 8, No. 4, Year 2016
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Description
This paper presents the statistical concepts used in power calculations for experimental design. It provides detailed definitions of parameters used to perform power calculations, useful rules of thumb and different approaches that can be used when performing power calculations. The authors draw from real-world examples to calculate statistical power for individual and cluster randomised controlled trials. This paper provides formulae for sample size determination and minimum detectable effect (MDE) associated with a given statistical power. The paper is accompanied by the sample size and MDE calculator©, a free online tool that allows users to work with the formulae presented in Section 4.
Authors & Co-Authors
Djimeu, Eric W.
United States, Washington, D.c.
International Initiative for Impact Evaluation
Cameroon, Yaounde
Université de Yaoundé Ii
Houndolo, Deo Gracias
United States, Washington, D.c.
International Initiative for Impact Evaluation
Statistics
Citations: 47
Authors: 2
Affiliations: 2
Identifiers
Doi:
10.1080/19439342.2016.1244555
ISSN:
19439342
e-ISSN:
19439407
Study Design
Randomised Control Trial