Category: Power analysis

 

https://www.causalevaluation.org/power-analysis.html

 

http://www.mormonsandscience.com/gpower-guide.html

Do typical RCTs of Education Interventions Have sufficient Statistical Power for Linking Impacts on Teacher Practice and Student Achievement Outcomes?

October 2009

Peter Z. Schochet

http://ies.ed.gov/ncee/pdf/20094065.pdf

If you need to determine sample size for your survey when a variable of interest is a binary outcome, you can use power analysis and decide how many subjects you need to reach out for survey participation.  You should also adjust the sample size by expected response missing rate.  I wrote an Excel file for sample size calculation:

https://drive.google.com/file/d/0B7AoA5fyqX_sMkZJOUZxN3JvbUk/view?usp=sharing

 

Reference:

http://www.surveysystem.com/sscalc.htm

Thanks: Mr. George Ohashi for showing me the function that adjusts sample sizes by expected missing rate.

Variance Almanac

https://arc.uchicago.edu/reese/variance-almanac-academic-achievement

Hedges and Hedberg (2007) paper:

http://jrre.vmhost.psu.edu/wp-content/uploads/2014/02/22-10.pdf

http://people.cehd.tamu.edu/~okwok/epsy652R/OD/od-manual-20080312-v176.pdf

 

http://web.missouri.edu/~dongn/Dong-Maynard-PowerUp-paper.pdf

http://ies.ed.gov/ncser/pubs/20103006/pdf/20103006.pdf