Mario Reutter-Dieker

Ach, und könntet ihr bitte ALLE diese Petition gegen ein Register zur Erfassung von trans* und nichtbinären Personen unterzeichnen? Danke.

epetitionen.bundestag.de/petitionen/_...

Does Powerlessness Enhance Stimulus-Driven Attention Allocation Towards Threat-Related Stimuli? From Robin Willardt and @mreutter.bsky.social doi.org/10.1525/coll...

Absolutely great idea! I also like the design choice of making it its own function that aligns with natural language instead of just adding a parameter to the filter function, which would more likely be missed by users.

Thanks a lot for making me aware! What a timing :)

I guess it would be nice to have a function "filter_out" that only DROPS values that evaluate to TRUE in its argument, keeping NAs in the data.frame. The alternative, as always, is that you handle NAs explicitly in your function but it's just easy to forget them :)

I cannot state this enough: The filter function cannot know if the logical values it received stem from a comparison of equvialence (e.g., x == 1) or of inequivalence (e.g., x != 2). It just receives a vector of logical values (including NAs). Therefore, it only makes sense to drop NA values.

Surprisingly, both 2 and NA get dropped, leaving only a tibble with the first entry of x == 1. The reason behind this is that NA != 2 gets evaluated as NA and not as TRUE and NAs are dropped in filter (which makes sense).

What do you think will be the result of the following line of R code?

tibble(x = c(1, 2, NA)) %>% filter(x != 2)

I was rather surprised to find out :).
The answer is in the comments.

#rstats

It was very insightful to see where the statistical tools that we use every day come from and why they are the way they are!

"Do one thing every day that scares you." —Mary Schmich

Last Sunday, I participated in a workshop on "The Mathematical Basics of Statistical Tests and Estimators for Psychologists" by Susanne Frick and Julien Irmer during the conference of the section "Methods & Evaluation" of the @dgps.bsky.social

We're further expanding our team!💼 An Akademische Rätin/Akademischer Rat (A13) position is now open in our group - check out the details below and feel free to share!🙌 #ClinicalPsychology #JobOpening

🚨 Come work with us! A 3-year postdoc position is available in my group, focusing on gaze interactions in real and virtual environments. The job ad is only in German, since a certain level of German proficiency is required. Please share widely! @biodgps-dgpa.bsky.social

Psychometric Considerations in Assessing Fear Generalization as a Predictor of Anxiety The ability to adaptively transfer acquired fear to novel situations is fundamental for survival in ever-changing environments and may contribute to t…

Exciting news! Our latest paper is now published 🎉
We dive into the fear generalization literature to see how individual fear gen profiles are typically quantified, extracted the most commonly used measures, and compared them using simulated and empirical data: doi.org/10.1016/j.bp...

<em>Psychophysiology</em> | SPR Journal | Wiley Online Library This study advances our understanding of how individuals control automatic approach and avoidance tendencies to appetitive and aversive stimuli. Merging behavioral, physiological, and oculomotor resp...

Very glad to share my first published PhD paper
onlinelibrary.wiley.com/doi/10.1111/...
We provide evidence of the behavioral/cognitive costs of overcoming automatic approach-avoidance responses triggered by affective stimuli.
Huge thanks to my supervisors @gamerlab.bsky.social and @Andre Pittig

🧠♻️ IGOR Symposium
"Open Science Initiatives in Biopsychological Research"
🗓️ Fri, 20.06 | 🕥 10:30–12:00
📍 0.004

@ocklenburg.bsky.social C. Artemenko
@mariame.bsky.social @alinakoppold.bsky.social
@caggursoy.bsky.social @ufangyang.bsky.social
@mreutter.bsky.social @mklingelhoeferj.bsky.social [3/6]

Looking forward to a great symposium! Join us on Friday at 10:30 in the Audimax! 🤩

Looking forward to this inspiring symposium with amazing speakers! I'm honored to be part of this 🥰

Navigation on the slides is done by using the arrow keys. You can also click the three horizontal lines on the bottom left to open the outline and jump to any section!

For your best experience, the slides are created using RMarkdown/quarto. Thus, the R code on each slide is evaluated and the result is directly shown. You can also easily copy code components from the slides into your R scripts using the copy button on the top right of each code chunk.

📊Do you want to learn data analysis with R?📊
🔓Check out these free and open materials!🔓

1. Crash course (~4 hrs; part 1 only): spressi.github.io/precision_wo...
2. Full course (~20 hrs): spressi.github.io/biostats/

#rstats

Our article with @gamerlab.bsky.social and @jannateigeler.bsky.social has now been published Open Access 🔓 in Behaviour Research and Therapy🥳
doi.org/10.1016/j.br...

Die Fachgruppe Biologische Psychologie und Neuropsychologie der Deutsche Gesellschaft für Psychologie (DGPs) e.V. und die Deutsche Gesellschaft für Psychophysiologie und ihre Anwendung (DGPA) schreiben drei Förderpreise für #Wisskomm in der Biologischen Psychologie aus!

@biodgps-dgpa.bsky.social

Neue Errungenschaft freigeschaltet: Mein Zug hat sich verfahren 🤣

‼️Job alert 4-year PhD or postdoc position‼️
In this project we use ultra-high field 7T functional neuroimaging and computational modeling to investigate the effects of learning and social influence on chronic and acute pain. Applications for a PhD or a postdoc position are welcome.

Trump’s anti-trans Executive Order is bad BUT it technically defines everyone as female. It states:

“'Female' means a person belonging, at conception, to the sex that produces the large reproductive cell."

Since all fetuses "at conception" are female, Trump just defined EVERYONE as female.

Diagnostic Facial Features & Fear Generalization Hosted on the Open Science Framework

Of course, all data, analysis scripts, and further materials are openly available🔓 #openscience
osf.io/4gz7f/

Here is the histogram of social anxiety scores. Almost half of the scores are above the optimal remission cutoff by von Glischinski et al. (2018).

We also observed generalization patterns in heart rate modulation💓 and pupil size changes🥺. Notably, only individuals with high anxiety showed an acceleration component↗️ after initial fear bradycardia↘️, indicating defensive reactions🛡️ on top of orienting responses🧭.

We replicated an attentional bias towards eyes compared to mouth and nose but individuals were able to adjust towards diagnostic facial features. Interestingly, people with high anxiety looked to non-diagnostic regions more quickly (hyperscanning?).

Participants acquired fear quickly and generalized it to morphs of faces (osf.io/wgqnj/wiki/h...) in a curved fashion✅. Highly anxious individuals showed overall higher subjective threat ratings✅ but no difference in generalization patterns compared to lowly anxious ones❌.