Validation of the Italian Version of the Telepresence in Videoconference Scale (TVS) in a Sample of Psychologists and Psychotherapists During the COVID‐19 Pandemic
Bibliographic record
Abstract
OBJECTIVE: Telepresence may play a fundamental role in establishing authentic interactions and relationships in online psychological interventions and can be measured by the Telepresence in Videoconference Scale (TVS), which was validated only with patients to date. This post hoc study aimed to validate the Italian version of the TVS with mental health professionals. METHOD: The Italian TVS was included in an online survey, whose primary aim was to assess the experiences of Italian psychologists and psychotherapists with online interventions during the first wave of the COVID-19 pandemic and was filled in by 296 participants (83.4% females, mean age = 42 years old). RESULTS: Exploratory factor analysis supported the original factor structure only partially because the scale 'Absorption' (i.e., the feeling of losing track of time), as it was formulated, did not measure telepresence. Correlations were also explored between the TVS scales and some survey items pertaining to intimacy and emotional closeness to patients, comfort and positive as well as negative experiences with online interventions. CONCLUSION: The TVS may be a useful tool to measure physical and social telepresence in online interventions, both in patients and in professionals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".