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We are pleased to introduce a new series of Stata Tips newsletters, focusing on recent developments and new Stata functions available in the latest release, Stata 14.

Timberlake Group Technical Director, Dr. George Naufal introduces insights to power and sample size in Stata.

Evaluating social programs has taken center stage in current research for social sciences. Impact evaluations give policymakers crucial information on which public policy programs are working. At the heart of impact evaluations are randomised experiments. A crucial step in designing an experiment is determining the sample size, the statistical power and detectable effect size.

 Power and sample size (PSS) in Stata 14 allows the computation of:

1.  Sample size if power and detectable effect size are given

2.  Statistical power if sample and detectable effect size are given

3.  Detectable effect size if power and sample size are given

That said, with PSS in Stata 14 you can get results for several settings, display these in a table or a graph for presentation. Stata 14 also allows you the freedom to add your own method to analyse power and sample size.

With the all new documentation of PSS in Stata 14, you can learn more about the concepts and methodologies and even practice with many applied examples.

Use PSS in Stata 14 for your experimental needs.


Power and sample size video TOUR OF POWER AND SAMPLE SIZES IN STATA
Explore the power and sample-size methods introduced in Stata 14, including solving for power, sample size, and effect size for comparisons of means, proportions, correlations and variances.
Power calculation POWER CALCULATION
Learn to do a power calculation for comparing a single sample proportion to a reference value using Stata.
Sample size calculation SAMPLE SIZE CALCULATION
Learn how to do a sample size calculation for comparing a single sample proportion to a reference value using Stata.