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This presentation explores methods for identifying the right sample size for randomized evaluations so that results are defensible.
This is the sixth in a series of lectures produced by the Poverty Action Lab and the Massachusetts Institute of Technology.
Contents
- I. Hypothesis testing
- II. Type I and Type II Errors
- III. Standard errors and significance
- IV. Power
- V. Effect size
- VI. Factors that influence power
Sources
Olken, B. (2009). 6: Sample Size and Power Calculations, Abdul Latif Jameel, Poverty Action Lab Executive Training: Evaluating Social Programs Lecture Notes, Massachusetts Institute of Technology (MIT). Retrieved from https://www.lej4learning.com.pk/single-lecture/10902
Massachusetts Institute of Technology (MIT) https://ocw.mit.edu/
Poverty Action Lab (PAL) http://www.povertyactionlab.org/
This is part of a series
Lectures from the Abdul Latif Jameel Poverty Action Lab Executive Training: Evaluating Social Programs 2009
'6: Sample size and power calculations' is referenced in:
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