Data · dataset · 2026
Physical Activity Patterns and Their Association with Self-Efficacy in an Academic Setting
Listed in Riga Stradins University dataverse
The dataset contains 15 transcripts from semi-structured interviews.
Description
The interviews include questions regarding physical activity habits and self-efficacy in the academic context among students enrolled in healthcare study programmes. The data were collected as part of the doctoral research project “Interrelationships Between Physical Activity and Self-Efficacy Among Healthcare Students.” Data were collected using semi-structured interviews.
The interviews were conducted based on a pre-developed interview guide, while also allowing additional clarifying questions to be asked according to the flow of the conversation. The interviews provided in-depth information about the research topic from the participants’ perspectives. The interviews were transcribed verbatim using the Sonix.ai transcription tool.
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Sonix.ai ensures data processing in accordance with the European Union General Data Protection Regulation (GDPR) (EU) 2016/679. Uploaded transcripts are encrypted during transmission and storage.
Links
Where it is published
- Dataverse dataset page dataverse.rsu.lv/dataset.xhtml?persistentId=doi%3A10.48510%2FFK2%2FQS3N2L ↗
landing page · from dataverse rsu lv
- DOI doi.org/10.48510/fk2/qs3n2l ↗
DOI / persistent id · from dataverse rsu lv
Catalogue records · 1
- Dataverse API dataverse.rsu.lv/api/datasets/:persistentId/?persistentId=doi%3A10.48510%2FFK2%… ↗
metadata API · from dataverse rsu lv
Topics
- Stated by source
- Medicine, Health and Life Sciences
- From keywords
- Life Sciences · Medicine & Health
- Inferred from text
- Sports science and exercise 71%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Riga Stradins University dataverse | doi:10.48510/FK2/QS3N2L | 7 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4207 | enrichment · dataverse rsu lv | taxonomy-embedding@1.1.0 | title+keywords+description (71%) |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| created_date | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | |
| description | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /description |
| publication_date | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | |
| title | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /name |
| updated_date | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | |
| version_label | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 |