|
|
 |
Listserv Message Center
 |
Free 1-Day Workshop: Necessary Condition Analysis |
 |
|
|
|
| Posted by: | Michael Zyphur |
| Title/Position: | Director |
| School/Organization: | Instats |
| Sent to listserv of: | SESP, SPSSI |
| Date posted: | March 20th, 2023 |
|
|
|
|
 |
 |
|
Hi everyone,
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, 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
www.instats.org
|
|
 |
|
|
|
|
|
|
|
|
Forum Home Page
