Qualitative interview data from 20 participants (10 staff and 10 students) at a Dutch university, exploring experiences and preferences regarding the disclosure of mental health issues. The data was collected to inform the development of a decision aid tool. It includes semi-structured interview transcripts and associated questionnaire responses.
Use Cases
- Analyze interview transcripts to identify common themes in disclosure experiences among staff and student participants.
- Use questionnaire data to correlate participant demographics or initial responses with interview-derived preferences for decision support.
- Model decision aid requirements based on qualitative needs expressed by participants who chose to disclose or not disclose their condition.
Strengths
- Includes data from 20 distinct participants, providing a balanced sample of 10 staff and 10 students.
- Data is derived from semi-structured interviews analyzed using the Framework method, offering structured qualitative insights.
Limitations
- The sample size of 20 participants is small, limiting statistical generalizability.
- Data is specific to a single Dutch university, which may not reflect experiences in other cultural or institutional contexts.
Provenance
- Source
- DataverseNL Harvested Dataverse
- Collection Method
- Semi-structured interviews and a short questionnaire with university staff and students.
- Time Range
- null
- Freshness
- null
- Geography
- A Dutch university setting.