Semih Aktepe

@semihaktepe.bsky.social

doctoral researcher of cognitive and statistical modeling @rtg2271.bsky.social @unimarburg.bsky.social semihcanaktepe.github.io

Yesterday during lunch break I heard that my RTG is on bluesky now // follow @rtg2271.bsky.social 🥳 and, don't ask me how my brain works, but this made me want to make magic the gathering cards based on RTG researchers (there are magic card generators online) I volunteer myself as an example

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Doing SDT via GLMMs is probably one of my favorite types of modelling - it was the first, relatively simple, example of doing generative stuff and inferential stuff in the same model, and not the classic two step "get estimates and -then- throw them in an ANOVA".

Daniel Heck@danielheck.bsky.social · 8mo ago

New preprint by @semihaktepe.bsky.social 🎉 We compare ANOVA/SDT/GLMM for binary judgments in 20 datasets of the truth effect. #lme4 Main conclusion: "GLMMs are a theoretically sound and practically robust method and thus superior for analyzing binary judgments in social and cognitive psychology.”

I remember being confused by always having to aggregate data (to means, counts, etc) in grad school. I think we've gotten much better at that with multilevel models etc, and here's another paper making this point well about analysing binary judgment data.

Daniel Heck@danielheck.bsky.social · 8mo ago

New preprint by @semihaktepe.bsky.social 🎉 We compare ANOVA/SDT/GLMM for binary judgments in 20 datasets of the truth effect. #lme4 Main conclusion: "GLMMs are a theoretically sound and practically robust method and thus superior for analyzing binary judgments in social and cognitive psychology.”

New preprint by @semihaktepe.bsky.social 🎉 We compare ANOVA/SDT/GLMM for binary judgments in 20 datasets of the truth effect. #lme4 Main conclusion: "GLMMs are a theoretically sound and practically robust method and thus superior for analyzing binary judgments in social and cognitive psychology.”

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PsyArXivBot@psyarxivbot.bsky.social · 8mo ago

Analyzing Binary Judgments: A Comparison of ANOVA, Signal Detection Theory, and Generalized Linear Mixed Models in the Context of the Illusory Truth Effect: https://osf.io/xn397

We (matzekloft.bsky.social, Semih Aktepe, @danielheck.bsky.social) recently participated in a robustness reproduction of articles in Nature Human Behaviour. It was a nice learning experience to check the reproducibility of others' code and to think about useful additional robustness analyses

Riccardo Fusaroli@fusaroli.eurosky.social · 2y ago

Our paper on the acoustic features of infant directed speech published on @naturehumbehav.bsky.social (doi.org/10.1038/s415... w @chrismmcox.bsky.social) was assessed for reproducibility and robustness by @bsiepe.bsky.social & co. The experience was pretty amazing: impressive effort, 1/