Marc Jekel (@kognDisso) header
Marc Jekel (@kognDisso) profile picture
Köln, Deutschland
Joined October 2012
Photo by Marc Jekel (@kognDisso)Photo by Marc Jekel (@kognDisso)Photo by Marc Jekel (@kognDisso)Photo by Marc Jekel (@kognDisso)Photo by Marc Jekel (@kognDisso)Photo by Marc Jekel (@kognDisso)Photo by Marc Jekel (@kognDisso)Photo by Marc Jekel (@kognDisso)Photo by Marc Jekel (@kognDisso)Photo by Marc Jekel (@kognDisso)
New Preprint with @SmelaPatrick: doi.org/10.31219/osf.io/r2up… We propose sampling manipulation intensities in social cognition research to explore IV-DV relationships more effectively. Feedback very welcome. #functions #replication #heterogeneity #theory #experiment
1
3
289
I am thrilled to announce that together with @susafiedler we got the funding to move theory specification in social psych forward as part of @meta_rep . We are offering a position in the project - please apply and spread the word. psychjob.eu/de/job/postdocto…
3
25
2
55
7,245
There are just a few more days left to apply for the PhD position on imitative behavior - a project together with @CraccoEmiel and @JanCrusius
Job alert: Together with @JanCrusius and @CraccoEmiel, I am looking for a PhD (75%; 3 years) on a @dfg_public funded project on the topic of imitative behavior at the @leuphana University Lüneburg. The position starts in February 2025. leuphana.de/en/university/op…
6
8
1,029
It's out in Psychological Review! In this paper, we propose a method for testing whether theories explain empirical phenomena. Thanks @BorkRiet, @AFinnemann, @JonasHaslbeck, Han, Jill, @RuitenZeven, and @DennyBorsboom for making this possible! tinyurl.com/52h6e42f
1
17
2
83
6,948
New paper published; partially funded by @meta_rep. doi.org/10.1037/dec0000233 We compare the performance of probabilistic reasoning content models against a benchmark using a generic deep learning network model.
1
3
8
633
Throughout the article, we highlight the use of generic models for theory development; thus, the specific context of probabilistic reasoning is just a case study for the approach.
1
53
That is, these models can, in principle, approximate any predictor/criterion relationship in data, thereby potentially identifying misspecified functions, missing relevant predictors, or irrelevant predictors in content models.
47
Small reminder for our panel discussion about the robustness of science. The link for the livestream is now online at the website of @badw_muenchen: badw.de/die-akademie.html We start at 6.30 pm with the panel. Please share and contribute with your questions. #metrep #openscience
2
2
537
How robust can or should science be? META-REP is hosting a podium discussion about this important question of scientific rigor in cooperation with the Bayerische Akademie der Wissenschaften (@badw_muenchen) on February 6, 2024. #metarep #metascience #replication #openscience
1
7
11
1,142
Super happy that our research on stereotypes about scientists is now published! Curious which scientific discipline is the most powerful 💪, the most trustworthy 😇, or the most conservative 🐘? Explore the data yourself in our shiny app: 02mfnt-tobias-wingen.shinyap…
6
20
9
59
16,576
New publication on the relation between cognitive abilities and risk preference: nature.com/articles/s41598-0… This relation critically depends on the risk elicitation method and the choice architecture within behavioral measures. With J. Rieskamp & R. Hertwig. (1/4)
1
17
54
5,639
Intro to PsychoModels session at MathPsych.
1
7
551
Theory construction cycle
1
1
116
Conclusion by @BorsboomDenny : Databases for phenomena and models
1
100
Marc Jekel retweeted
🚨W3 Professur Allgemeine Psychologie (Kognition) in Köln🚨 W3 (Full-) Professorship in Cognitive Psychology in Cologne berufungen.uni-koeln.de/tend…
2
32
8
36
21,401
A surprising @PsychToday article! Harvard-trained psychiatrist @srinipillay greatly articulates the main points of my paper on eristic reasoning. Worth reading! psychologytoday.com/intl/blo…
1
1
2
174