Pilot Questionnaire on Name-Based Instructor-Student Interaction in Medical Education

Aggregating anonymized survey responses from 270 medical students (semesters 2-10) at a German medical faculty. It includes a 59-item questionnaire in German and English, raw response data, and R scripts for psychometric evaluation using factor analysis and reliability estimation.

Use Cases

• Perform exploratory factor analysis on the 59 questionnaire items (X1-X59) to identify latent dimensions of name-based interaction.
• Estimate scale reliability (Cronbach's alpha, McDonald's omega) for questionnaire subscales derived from the Likert-type response data.
• Apply Rasch partial credit models to the anonymized response data to assess item difficulty and fit.
• Analyze response patterns across student semesters (2-10) to examine potential developmental trends in perceptions.

Strengths

• Includes 270 participant responses, providing a substantive sample for pilot psychometric analysis.
• Dataset is comprehensive, containing raw data, the original questionnaire in two languages, and the full R analysis script for reproducibility.
• Study design involved rigorous statistical methods including exploratory factor analysis and Rasch modeling.

Limitations

• Sample is from a single German medical faculty, limiting generalizability to other institutions or cultures.
• As a pilot study, the 59-item questionnaire is under development and may require further validation.
• Data collection timeframe and specific dates are not provided, making temporal analysis impossible.

Provenance

Source

Harvard Dataverse, authored by Weber, Liam Philipp.

Collection Method

Voluntary, anonymous survey of medical students using a Likert-type questionnaire.

Time Range

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Freshness

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Geography

A German medical faculty.