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3ie Sample size and minimum detectable effect calculator ©
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This worksheet is designed to be used alongside the manual, Power calculation for causal inference in social science:
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sample size and minimum detectable effect determination (Djimeu and Houndolo 2016)
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7.1.1 Single level trial with continuous outcome variables
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(refer to p.20 in the manual)
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Table 1.1: Sample size determination.
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Instruction:
Specify the parameters in yellow to determine N
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Parameter ValueDefinitionSource of parameter - comments
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α0.05Significance level
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β0.9Desired power of the test
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Tail2One-tailed or two-tailed test
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min500The minimum sample size decided beforehand to determine t values
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The pooled total standard deviation of the estimated effect on the outcome variable
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0.5The proportion of the study that is randomly assigned to the treatment group
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0.25Minimum detectable effect
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1.96T-value corresponding to the desired significance level of the test
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1.28T-value corresponding to the desired power of the design
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675The size of the study sample
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Table 1.2: Minimum detectable effect determination.
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Instruction:
Specify the parameters in yellow to determine the minimum detectable effect
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Parameter ValueDefinitionSource of parameter - comments
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α0.05Significance level
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β0.8Desired power of the test
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Tail2One-tailed or two-tailed test
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The pooled total standard deviation of the estimated effect on the outcome variable
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0.5The proportion of the study that is randomly assigned to the treatment group
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500The size of the study sample
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1.96T-value corresponding to the desired significance level of the test
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0.84T-value corresponding to the desired power of the design
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0.25Minimum detectable effect
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Advisory: The worksheet is copyrighted by 3ie. Users are free to use and adapt for personal, non-commercial use. Any publication of any part or whole of the worksheet itself must be by permission, with credit given to 3ie. For questions, please contact info@3ieimpact.org
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