Marcel C Schmitt
Biographic Data
| ID | 7834259 |
|---|---|
| NAME | Marcel C Schmitt |
| GIVEN NAMES | Marcel C |
| FAMILY NAME | Schmitt |
| SIGNATURE | SCHMITT M C |
| AFFILIATIONS | University of Koblenz and Landau |
| ORCID | 0000-0001-9813-9438 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
In the grip of pain
Emotional granularity (EG), or emotion differentiation, reflects the ability to distinguish between same-valenced emotional states in a nuanced way. While traditionally considered a stable trait, recent research shows that EG can fluctuate within individuals, influenced by situational factors such as stress. Building on this work, the present study investigated how momentary pain as a specific stressor relates to momentary EG in the daily lives o…
Exploring Within-Person Variability in Qualitative Negative and Positive Emotional Granularity by Means of Latent Markov Factor Analysis
Emotional granularity (EG) is an individual's ability to describe their emotional experiences in a nuanced and specific way. In this paper, we propose that researchers adopt latent Markov factor analysis (LMFA) to investigate within-person variability in qualitative EG (i.e., variability in distinct granularity patterns between specific emotions across time). LMFA clusters measurement occasions into latent states according to state-specific measu…
Measurement issues in the many analysts religion project
A many-analysts approach to the relation between religiosity and well-being
The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N=10,535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-…
No prominent works on this page.
Measurement issues in the many analysts religion project
A many-analysts approach to the relation between religiosity and well-being
The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N=10,535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-…
Exploring Within-Person Variability in Qualitative Negative and Positive Emotional Granularity by Means of Latent Markov Factor Analysis
Emotional granularity (EG) is an individual's ability to describe their emotional experiences in a nuanced and specific way. In this paper, we propose that researchers adopt latent Markov factor analysis (LMFA) to investigate within-person variability in qualitative EG (i.e., variability in distinct granularity patterns between specific emotions across time). LMFA clusters measurement occasions into latent states according to state-specific measu…
In the grip of pain
Emotional granularity (EG), or emotion differentiation, reflects the ability to distinguish between same-valenced emotional states in a nuanced way. While traditionally considered a stable trait, recent research shows that EG can fluctuate within individuals, influenced by situational factors such as stress. Building on this work, the present study investigated how momentary pain as a specific stressor relates to momentary EG in the daily lives o…
Psychology (3 works) · Computer Science (2 works) · Granularity (2 works) · Religion and Society Interactions (2 works) · Religion, Spirituality, and Psychology (2 works) · Social Psychology (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Chronic pain (1 work) · Cognitive and psychological constructs research (1 work)