This presentation explores methods for identifying the right sample size for randomized evaluations so that results are defendable.
This is the sixth in a series of lectures produced by the Poverty Action Lab and the Massachusetts Institute of Technology.
The resource provides the user with a video of the lecture presented by Ben Olken and includes the lecture slides.
- 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
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://live-qa.ocw.mit.edu/courses/res-14-001-abdul-latif-jameel-poverty-action-lab-executive-training-evaluating-social-programs-2009-spring-2009/resources/6-sample-size-and-power-calculations/
Massachusetts Institute of Technology (MIT) https://ocw.mit.edu/
Poverty Action Lab (PAL) http://www.povertyactionlab.org/
'6: Sample size and power calculations' is referenced in: