shotsuji
commented
5 years ago One easy-to-understand and easy-to-implement-in R resource, (though for rather straightforward designs) is this one. https://www.journalofcognition.org/articles/10.5334/joc.10/
Am Fr., 26. Apr. 2019 um 01:55 Uhr schrieb Alex Cristia < notifications@github.com>:
Hi MetaLabbers,
For a course, I put together this list of resources https://docs.google.com/document/d/19wg1XnjemMH_IMM_Ok2g4CeSaRjFK8YhYKc3HUJ9orY/edit?usp=sharing; the rationale is to guide a first discovery of the topics, with maximum 3 recommendations for each step of a MA.
One of the students' questions was: how does one get effect sizes from mixed models? I know there is a small literature on how to report ES when one runs the mixed model -- but I'm not sure about how to get effect sizes (e.g., can one use B and SE of the B for specific factors). If you have recommendations, they'd be welcome!
-a
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-- Assistant Professor The University of Tokyo International Research Center for Neurointelligence (IRCN) Website: https://sites.google.com/site/tsujish/home Blog: https://cogtales.wordpress.com/
alecristia
Hi MetaLabbers,
For a course, I put together this list of resources; the rationale is to guide a first discovery of the topics, with maximum 3 recommendations for each step of a MA.
One of the students' questions was: how does one get effect sizes from mixed models? I know there is a small literature on how to report ES when one runs the mixed model -- but I'm not sure about how to get effect sizes (e.g., can one use B and SE of the B for specific factors). If you have recommendations, they'd be welcome!
-a