A guide to choosing the right statistical analysis

Often one of the most difficult parts of running a statistical analysis is figuring out which analysis to use. While data can be analyzed in a variety of legitimate ways, it is useful to have some general guidelines to use in getting started.

photo credit: Lendingmemo.com

photo credit: Lendingmemo, CC BY 2.0

The Institute for Digital Research and Education at UCLA has put together a handy table to help you figure out which analysis to use based on the number and nature of the variables with which you are working.

After you have determined which test to run, take advantage of the links to tutorials that explain how to conduct the tests using SAS, Stata, SPSS, and R.

If you would like more assistance with statistical analysis, don’t hesitate to contact us at the Scholarly Commons.

Facebook Twitter Delicious Email