Uploaded October 2025 | Updated September 2026, 2 hours ago
Data work is an exercise in simplification and interpretation, which means that there is no such thing as a "perfect" analysis. While it is important to be mindful of the assumptions and requirements of your methods, it's also important to remember that all methods are, to varying degrees, flexible and robust. Join Barton Poulson, PhD, as he discusses the importance of flexibility as opposed to methodological gatekeeping when working with data.
Data work is an exercise in simplification and interpretation, which means that there is no such thing as a "perfect" analysis. While it is important to be mindful of the assumptions and requirements of your methods, it's also important to remember that all methods are, to varying degrees, flexible and robust. Join Barton Poulson, PhD, as he discusses the importance of flexibility as opposed to methodological gatekeeping when working with data.
