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SUMMARY:Introduction to Necessary Condition Analysis (NCA)
DESCRIPTION:For your research\, if you’ve ever wanted to understand and model causal effects in a rigorous way that reflects the complexity of the real-world. 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). \nThis 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!
URL:https://compasss.org/event/introduction-to-necessary-condition-analysis-nca-2/
LOCATION:Online
CATEGORIES:Training
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