Difference between revisions of "Power Calculations in Optimal Design"

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Optimal Design is free software designed by University of Michigan. It provides a useful platform on which researchers can visualize the relationship between different elements of the [[Sample Size | sample size]] formula when conducting [[Sampling & Power Calculations | power calculations]] during the research design stage. This page provides a general overview of and additional resources for Optimal Design.  
Optimal Design is free software designed by University of Michigan. It is a useful way to visualize the relationship between different elements of the sample size formula.  
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== Read First ==
 
== Read First ==
Optimal Design creates graphs that can help visualize power calculations. However, power calculations done in Optimal Design are not easily replicable.  
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*Download Optimal Design [http://sitemaker.umich.edu/group-based/optimal_design_software here].
 
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*For [[Reproducible Research | reproducibility]], DIME recommends conducting power calculations in [[Power Calculations in Stata | Stata]] and using Optimal Design as a compliment for visualization.  
 
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*For more general information on power calculations, see [[Sampling & Power Calculations]].
== Guidelines ==
 
  
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== Overview ==
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Optimal Design creates graphs that helps to visualize power calculations and compare, for example, power versus sample size for a given effect or effect size versus sample size for a given desired power.
  
 
== Back to Parent ==
 
== Back to Parent ==
 
This article is part of the topic [[Sampling & Power Calculations]]
 
This article is part of the topic [[Sampling & Power Calculations]]
 
  
 
== Additional Resources ==
 
== Additional Resources ==
[http://siteresources.worldbank.org/INTDEVIMPEVAINI/Resources/3998199-1285617002143/PowerCalculations.pdf Materials from DIME's field coordinator class on power calculations using Optimal Design]  
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*Poverty Action Lab’s [https://www.ilo.org/wcmsp5/groups/public/@ed_emp/documents/presentation/wcms_419000.pdf Exercise: How to do Power Calculations in Optimal Design Software]
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* Berk Ozler’s [http://blogs.worldbank.org/impactevaluations/power-calculations-what-software-should-i-use Power Calculations: What software should I use?] via The World Bank's Development Impact blog
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*DIME Analytics guidelines on survey sampling and power calculations [https://github.com/worldbank/DIME-Resources/blob/master/survey-sampling-1.pdf 1] and [https://github.com/worldbank/DIME-Resources/blob/master/survey-sampling-2.pdf 2]
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* Andrew Gelman’s [http://andrewgelman.com/2017/03/03/yes-makes-sense-design-analysis-power-calculations-data-collected/ Why it makes sense to revisit power calculations after data has been collected]
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*JPAL’s [https://www.povertyactionlab.org/sites/default/files/resources/2017.01.11-The-Danger-of-Underpowered-Evaluations.pdf The Danger of Underpowered Evaluations]
  
 
[[Category: Sampling & Power Calculations]]
 
[[Category: Sampling & Power Calculations]]

Revision as of 21:46, 17 June 2019

Optimal Design is free software designed by University of Michigan. It provides a useful platform on which researchers can visualize the relationship between different elements of the sample size formula when conducting power calculations during the research design stage. This page provides a general overview of and additional resources for Optimal Design.

Read First

Overview

Optimal Design creates graphs that helps to visualize power calculations and compare, for example, power versus sample size for a given effect or effect size versus sample size for a given desired power.

Back to Parent

This article is part of the topic Sampling & Power Calculations

Additional Resources