Benedikt Reuter
Biographic Data
| ID | 8228313 |
|---|---|
| NAME | Benedikt Reuter |
| GIVEN NAMES | Benedikt |
| FAMILY NAME | Reuter |
| SIGNATURE | REUTER B |
| AFFILIATIONS | Humboldt-Universität zu Berlin |
| ORCID | 0000-0002-3382-1396 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Measurement Invariance
A core challenge in modeling partial measurement invariance (MI) is choosing reference items as anchors for which MI indeed holds. Many approaches dealing with this issue have been proposed, each making a different assumption about MI and yielding a single set of anchor items. Here, we consider the case where i) partial MI modeling is used for estimating effects, e.g., a group mean difference, and ii) there is no straightforward theoretical reaso…
Dwelling on verbal but not pictorial threat cues
At present, an attentional bias to trauma-related stimuli cannot be considered as robust in PTSD following trauma in childhood compared to that of PTSD following trauma in adulthood. The findings are discussed with respect to difficulties attributing effects specifically to PTSD in this highly comorbid though understudied population. (PsycINFO Database Record (c) 2020 APA, all rights reserved)
No prominent works on this page.
Dwelling on verbal but not pictorial threat cues
At present, an attentional bias to trauma-related stimuli cannot be considered as robust in PTSD following trauma in childhood compared to that of PTSD following trauma in adulthood. The findings are discussed with respect to difficulties attributing effects specifically to PTSD in this highly comorbid though understudied population. (PsycINFO Database Record (c) 2020 APA, all rights reserved)
Measurement Invariance
A core challenge in modeling partial measurement invariance (MI) is choosing reference items as anchors for which MI indeed holds. Many approaches dealing with this issue have been proposed, each making a different assumption about MI and yielding a single set of anchor items. Here, we consider the case where i) partial MI modeling is used for estimating effects, e.g., a group mean difference, and ii) there is no straightforward theoretical reaso…
A priori and a posteriori (1 work) · Advanced Causal Inference Techniques (1 work) · Artificial Intelligence (1 work) · Attentional bias (1 work) · Behavioral and Psychological Studies (1 work) · Clinical Psychology (1 work) · Clinical Psychology (1 work) · Cognition (1 work) · Cognitive psychology (1 work) · Computer Science (1 work)