Angelika Marlene Stefan
Biographic Data
| ID | 7833260 |
|---|---|
| NAME | Angelika Marlene Stefan |
| GIVEN NAMES | Angelika Marlene |
| FAMILY NAME | Stefan |
| SIGNATURE | STEFAN A M |
| AFFILIATIONS | Institut des Sciences Cognitives Marc Jeannerod |
| ORCID | 0000-0003-3382-4746 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Interpersonal versus intrapersonal emotion regulation
Emotional intensity seems to be related to the selection of emotion regulation (ER) strategies. Previous studies have focused primarily on intrapersonal ER. In contrast, everyday use of interpersonal ER remains understudied, with the association between perceived emotional intensity and selection of intra- or intrinsic interpersonal ER still unclear. In a preregistered study, we used experience sampling method data from a community sample of indi…
“This behavior strikes us as ideal”
Huisman ( Psychonomic Bulletin & Review , 1–10. 2022) argued that a valid measure of evidence should indicate more support in favor of a true alternative hypothesis when sample size is large than when it is small. Bayes factors may violate this pattern and hence Huisman concluded that Bayes factors are invalid as a measure of evidence. In this brief comment we call attention to the following: (1) Huisman’s purported anomaly is in fact dictated by…
Expert agreement in prior elicitation and its effects on Bayesian inference
Bayesian inference requires the specification of prior distributions that quantify the pre-data uncertainty about parameter values. One way to specify prior distributions is through prior elicitation, an interview method guiding field experts through the process of expressing their knowledge in the form of a probability distribution. However, prior distributions elicited from experts can be subject to idiosyncrasies of experts and elicitation pro…
The Jasp guidelines for conducting and reporting a Bayesian analysis
Despite the increasing popularity of Bayesian inference in empirical research, few practical guidelines provide detailed recommendations for how to apply Bayesian procedures and interpret the results. Here we offer specific guidelines for four different stages of Bayesian statistical reasoning in a research setting: planning the analysis, executing the analysis, interpreting the results, and reporting the results. The guidelines for each stage ar…
No prominent works on this page.
The Jasp guidelines for conducting and reporting a Bayesian analysis
Despite the increasing popularity of Bayesian inference in empirical research, few practical guidelines provide detailed recommendations for how to apply Bayesian procedures and interpret the results. Here we offer specific guidelines for four different stages of Bayesian statistical reasoning in a research setting: planning the analysis, executing the analysis, interpreting the results, and reporting the results. The guidelines for each stage ar…
Expert agreement in prior elicitation and its effects on Bayesian inference
Bayesian inference requires the specification of prior distributions that quantify the pre-data uncertainty about parameter values. One way to specify prior distributions is through prior elicitation, an interview method guiding field experts through the process of expressing their knowledge in the form of a probability distribution. However, prior distributions elicited from experts can be subject to idiosyncrasies of experts and elicitation pro…
“This behavior strikes us as ideal”
Huisman ( Psychonomic Bulletin & Review , 1–10. 2022) argued that a valid measure of evidence should indicate more support in favor of a true alternative hypothesis when sample size is large than when it is small. Bayes factors may violate this pattern and hence Huisman concluded that Bayes factors are invalid as a measure of evidence. In this brief comment we call attention to the following: (1) Huisman’s purported anomaly is in fact dictated by…
Interpersonal versus intrapersonal emotion regulation
Emotional intensity seems to be related to the selection of emotion regulation (ER) strategies. Previous studies have focused primarily on intrapersonal ER. In contrast, everyday use of interpersonal ER remains understudied, with the association between perceived emotional intensity and selection of intra- or intrinsic interpersonal ER still unclear. In a preregistered study, we used experience sampling method data from a community sample of indi…
Psychology (4 works) · Cognitive psychology (3 works) · Artificial Intelligence (2 works) · Bayesian inference (2 works) · Bayesian probability (2 works) · Bayesian statistics (2 works) · Computer Science (2 works) · Inference (2 works) · Meta-analysis and systematic reviews (2 works) · Social Psychology (2 works)