Hi everyone
For your research, if you've
ever wanted to understand and model causal associations in a rigorous way
that reflects the complexity of real-world systems, Instats is offering a
free 1-day workshop:
Introduction to Necessary Condition Analysis (NCA)
running May 10 -- spaces are limited, so sign up soon! NCA understands a
cause as a necessary (but not sufficient) condition, rather than a
probabilistic cause (as in regression analysis). “Necessary” means that a
certain outcome will not occur without a certain level of the
condition. This is independent of the rest of the causal structure. NCA
is rapidly entering a variety of research fields and can be used as a
stand-alone method or in combination with other methods (e.g.,
regression analysis, structural equation modeling, qualitative
comparative analysis).
This free 1-day
seminar is being taught by Jan Dul, who invented NCA and co-authored the
R package for NCA. Registration is entirely free! This seminar is
perfect if, like many of us, you've wanted a way to go beyond simplistic
ANOVA or regression-based approaches to causal effect estimation. The
seminar will introduce you to NCA and then show you how to conduct
analyses and make causal inferences
through a series of worked examples. To register for free, use the
following link -- and please feel free to tell your colleagues and
friends/students!
https://instats.org/seminar/introduction-to-necessary-condition-anal7646
Best wishes from everyone at Instats!
Michael Zyphur
Director
Institute for Statistical and Data Science
instats.org