Exploring subgroups of acceptance prediction for e-mental health among psychotherapists-in-training
A latent class analysis
Bibliographic Data
| ID | 15524896 |
|---|---|
| Authors | Robert Staeck (Institute of Social and Preventive Medicine), Miriam Stüble (0009-0009-1528-7714, University of Bern), Marie Drüge (0000-0001-5721-9327, University of Zurich, corresponding author) |
| Year | 2024 |
| Volume | 15 |
| Pages | 1296449-1296449 |
| Publication date | 2024-03-14 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2024.1296449 |
| PMID | 38550532 |
| OpenAlex | W4392814430 |
| Language | EN |
| References cited | 39 |
This study was able to show that two classes of individuals can be identified based on the UTAUT-predictors. Differences between the classes regarding Performance Expectancy and Effort Expectancy were found. Interestingly, the two classes differed in theoretical orientation but not in age or gender. Latent class analysis could help to identify subgroups and possible starting points to foster acceptance of EMH
Class (philosophy · Expectancy theory · Latent class model · Mental health · Operationalization · Psychiatry · Psychological intervention · Statistics · Structural equation modeling · Unified theory of acceptance and use of technology · Applied Psychology · Behavioral Health and Interventions · Clinical Psychology · Computer Science · Digital Mental Health Interventions · Mathematics · Mental Health Research Topics · Psychology · Social Psychology · Artificial Intelligence
| Highly cited | No |
|---|