Before you can write a data analysis plan, you have to choose the best statistical test or model. You have to integrate a lot of information about your research question, your design, your variables, and the data itself.
In this training, you’ll learn how to break down the overwhelming process into a few key steps. You’ll take them one at a time, which will allow you to narrow things down considerably on each step.
They’re not always easy, and you sometimes have to make hard decisions about which analysis is best. But taking the time to think through this before you collect data will save you hours of time and frustration down the line.
About the Instructor
Karen Grace-Martin helps statistics practitioners gain an intuitive understanding of how statistics is applied to real data in research studies.
She has guided and trained researchers through their statistical analysis for over 15 years as a statistical consultant at Cornell University and through The Analysis Factor. She has master’s degrees in both applied statistics and social psychology and is an expert in SPSS and SAS.