Posts like these strike me as appropriate so long as this list isn’t used for 
overtly commercial purposes.  If others disagree, please email me privately.  
Best to all, Michael

From: [email protected] <[email protected]> On Behalf Of Prakash 
Kashwan
Sent: Monday, 8 May 2023 4:05 pm
To: [email protected]
Subject: [gep-ed] Methods Workshops - Open Access


- External Email -


Dear GEP-ed/ESS Colleagues: Passing on information about a variety of 
potentially useful 1-hour long introductory workshops organized by 
instats.org<http://instats.org>. Even though these are not specifically focused 
on GEP, these may be of broad interest to even those who don't do quantitative 
analysis. On the other hand, for those interested in a deep dive, they are also 
offering a day-long workshop on a relatively new approach of Necessary 
Condition Analysis (NCA) -- Please see the information below.
My best wishes,
Prakash
p.s. I will be consulting Michael about whether this kind of (mis)use of this 
valuable list is permissible : )

Free 1-hour introductions to SPSS, Stata, Mplus, and R
Instats is pleased to announce four new livestreaming 1-hour introductions to 
SPSS, Stata, Mplus, and R. Registration is entirely free, and each workshop is 
designed to provide participants with a hands-on overview of the software 
interfaces, importing and managing data, descriptive statistics, and 
inferential statistics including univariate methods (regression/ANOVA) as well 
as multivariate methods (factor analysis/path analysis/SEM). Basic plotting 
methods will be described along with special features such as bootstrapping and 
Bayesian analysis where applicable. To register for free, you can use the 
following links -- and please feel free to tell any colleagues or students who 
you think might be interested!

SPSS seminar (May 31):
https://instats.org/seminar/introduction-to-spss-free-1-hour-semina5920

Stata seminar (June 7):
https://instats.org/seminar/introduction-to-stata-free-1-hour-semin4694

Mplus seminar (June 14):
https://instats.org/seminar/introduction-to-mplus-free-1-hour-semin7931

R with RStudio seminar (June 21):
https://instats.org/seminar/introduction-to-r-with-rstudio-free-1-h9264


TITLE: Free 1-day seminar on Necessary Condition Analysis (NCA)

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)<https://instats.org/seminar/introduction-to-necessary-condition-anal7646> 
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

Contact: Michael Zyphur <[email protected]<mailto:[email protected]>>
Director
Institute for Statistical and Data Science
instats.org<http://instats.org>
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