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Martin Lang
@martinlangcz.bsky.social
Assist Prof at LEVYNA, Masaryk Uni www.martinlang.cz Cognitive and evolutionary science of human cooperation with particular interest in signaling, ritual, and religion. #CogEvoSciRel
174 followers283 following23 posts
Reposted by Martin Lang
SVsimine.com

We'll likely have a 2-year postdoc position in our lab (MetaMelb) in psych at Melbourne Uni, starting later this year. If you have a PhD, do relevant stuff, & want to spend 2 years in Melbourne studying psychology research methods & practices, please get in touch! Please share!

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Reposted by Martin Lang
JCjoshcjackson.bsky.social

Announcing a special issue on "Historical Psychology"at Current Research in Ecological and Social Psychology Co-organized by me and @mohammadatari.bsky.social! Submit your papers to us by September 1st!

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Reposted by Martin Lang
MLmlisi.bsky.social

We are looking for collaborators, especially from Africa, Asia and South America for our PSA project on how people from around the world correct intuitive reasoning errors. More information at the link below. Please join and share widely! #BehSciSky#PsychSciSkymailchi.mp/cfd167697993...

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Reposted by Martin Lang
JMdingdingpeng.the100.ci

Do you think that learning more about causal inference is not worth it because you're running experiments anyway, or because you're interested in predictive questions? In that case, I've written a paper just for you, out now in SPPC: compass.onlinelibrary.wiley.com/doi/10.1111/...

Causal inference for psychologists who think that causal inference is not for them. Correlation does not imply causation and psychologists' causal inference training often focuses on the conclusion that therefore experiments are needed—without much consideration for the causal inference frameworks used elsewhere. This leaves researchers ill-equipped to solve inferential problems that they encounter in their work, leading to mistaken conclusions and incoherent statistical analyses. For a more systematic approach to causal inference, this article provides brief introductions to the potential outcomes framework—the “lingua franca” of causal inference—and to directed acyclic graphs, a graphical notation that makes it easier to systematically reason about complex causal situations. I then discuss two issues that may be of interest to researchers in social and personality psychology who think that formalized causal inference is of little relevance to their work. First, posttreatment bias:...
DAG illustrating posttreatment bias which can be induced in randomized experiments whenever researchers condition on posttreatment variables
Figure illustrating various reasons why demonstrations of incremental validity may be unimpressive: established predictors are omitted, measurement error is ignored, only little predictive utility is gained
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Reposted by Martin Lang
GFgiladfeldman.bsky.social

== PCIRR revolution == Still think Registered Reports are slow? Read carefully: Stage 1 RR from initial submission, receive detailed peer review by 2 experts, & receive in-principle acceptance (IPA) for revised submission 🔥all in less than 1 month 🔥 rr.peercommunityin.org/articles/rec...

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MLmartinlangcz.bsky.social

I guess my approach would be to just include A,B,C as predictors of Z without testing whether A,B predict C (if I have no reason to assume this). I would look at the correlation matrix to detect potential variance inflation (whether A,B are correlated with C) in the regression model

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Reposted by Martin Lang
RLrichlucas.bsky.social

Collabra: Psychology is looking for new associate editors for the Social Psychology section. If you're interested, please apply! rug.eu.qualtrics.com/jfe/form/SV_...

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Reposted by Martin Lang
PDpdakean.bsky.social

@jkflake.bsky.social made such a good case for a really fundamental and devastating realization-if we can’t show thar our measures are measuring what they are suppose to be measuring-then everything after the methods section in a paper is meaningless. This should give us all pause and reflection

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MLmartinlangcz.bsky.social

If C mediates the effect of A on Z, then the second regression would mistakenly show no effect of A on Z, only the effect of C on Z. The same applies to B. But this problem really depends on your causal assumptions re the relationships between A, B, C and Z

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Reposted by Martin Lang
AUrcc-au.bsky.social

After over a decade of labor, twins! @rcc-au.bsky.social@bgpurzycki.bsky.social@martinlangcz.bsky.social@aiyanakoka.bsky.social and many, many others on this book version of two special issues from Religion, Brain and Behavior

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ML
Martin Lang
@martinlangcz.bsky.social
Assist Prof at LEVYNA, Masaryk Uni www.martinlang.cz Cognitive and evolutionary science of human cooperation with particular interest in signaling, ritual, and religion. #CogEvoSciRel
174 followers283 following23 posts