This is the sixth in a series of lectures produced by the Poverty Action Lab, and the Massachusetts Institute of Technology. This presentation explores methods for identifying the right sample size for randomized evaluations so that results are defendable.
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 http://ocw.mit.edu/resources/res-14-001-abdul-latif-jameel-poverty-actio...
Massachusetts Institute of Technology (MIT) http://ocw.mit.edu/index.htm
Poverty Action Lab (PAL) http://www.povertyactionlab.org/
'6: Sample size and power calculations' is referenced in: