One of the hardest steps in any project is learning to ask the right research question!
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Data Analysis Practice
Member Training: Operationalizing Research Questions
July 31st, 2023 by TAF Support
Member Training: Analyzing Pre-Post Data
May 31st, 2022 by TAF Support
Recommendations on how to analyze pre-post data can vary. Typical recommendations include regression analysis or matched pairs analysis for within subject studies and analysis of covariance (ANCOVA) or linear mixed effects model analysis for within and between subject studies.
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Best Practices for Organizing your Data Analysis
March 21st, 2022 by Audrey Schnell
There is a lot of skill needed to perform good data analyses. It is not just about statistical knowledge (though more statistical knowledge is always helpful). Organizing your data analysis, and knowing how to do that, is a key skill. 
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Three Habits in Data Analysis That Feel Efficient, Yet are Not
February 21st, 2022 by Karen Grace-Martin
It’s easy to develop bad habits in data analysis. When you’re new to it, you just don’t have enough experience to realize that what feels like efficiency will actually come back to make things take longer, introduce problems, and lead to more frustration. (more…)
Member Training: Heterogeneity in Meta-analysis
January 31st, 2022 by TAF Support
Meta-analysis allows us to synthesize the results of separate studies. The goal is to assess the mean effect size and also heterogeneity – how much the effect size varies across studies. (more…)
Best Practices for Data Preparation
October 4th, 2021 by Audrey Schnell
If you’ve been doing data analysis for long, you’ve probably had the ‘AHA’ moment where you realized statistical practice is a craft and not just a science. As with any craft, there are best practices that will save you a lot of pain and suffering and elevate the quality of your work. And yet, it’s likely that no one may have taught you these. I know I never had a class on this. (more…)