MED NORD–A tool for measuring medical students’ well-being and study orientations
Abstract
BACKGROUND: The relationship between medical students' well-being, motivation, and their conceptions of learning and knowledge has not been previously explored. AIMS: This study aimed to validate a research instrument intending to measure medical students' (n = 280) (1) experiences of stress, anxiety and disinterest, (2) motivational (thinking) strategies, (3) conceptions of learning and knowledge (epistemologies), and (4) approaches to learning. METHODS: We developed an instrument, MED NORD, which is a composition of scales measuring different theoretical constructs that previously have shown good predictive value, validity and reliability. A principal component analysis with Varimax-rotation was performed in order to see how the scales related to each other. RESULTS: The internal consistency reliability was found to be satisfactory or good for each scale. The results showed five factors: Dysfunctional Orientation, Collaborative Knowledge Building Orientation, Cookbook Orientation, Social Orientation, and Individual Abilities Orientation. These study orientations were related to how medical students perceived their learning environment. CONCLUSIONS: The new tool showed consistency and validity and was judged appropriate for future use in measuring medical students' well-being and study orientations.
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In pilot studies, teachers appeared very similar to medical students in terms of not tolerating long series of questions.
“In our pilot studies it appeared that teachers were very similar to medical students in terms of not tolerating long series of questions (Lonka et al., 2008; Vedenpää and Lonka, 2014).”
From Work Burnout and Engagement Profiles Among Teachers (2019) · cites this paper as Lonka et al., 2008
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- Authors
- Lonka, K., Sharafi, P., Karlgren, K., Masiello, I., Nieminen, J., BirgegÅrd, G., & Josephson, A.
- Affiliations
- University of Helsinki (FI)
- Karolinska Institutet (SE)
- Uppsala University (SE)
- Corresponding author
- Lonka, Kirsti
- Venue
- Medical Teacher
- Publisher
- Informa UK Limited
- Published
- 2008-01
- Volume
- 30
- Issue
- 1
- Pages
- 72-79
- ISSN
- 0142-159X (ISSN-L)
- 1466-187X
- OpenAlex
- W2097086096
- Cited by
- 76
- References
- 39
- Citations by year
- 2026: 3 · 2024: 4 · 2023: 5 · 2022: 5 · 2021: 2 · 2020: 4 · 2019: 5 · 2018: 5 · 2017: 5 · 2016: 3 · 2015: 6 · 2014: 6 · 2013: 3 · 2012: 8
- FWCI
- 3.97
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medical Teacher (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Vetenskapsrådet
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Health Sciences › Health Professions › General Health Professions › Healthcare professionals’ stress and burnout
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Medical Education and Admissions
- Keywords
- medical students, student well-being, study orientation, stress and anxiety, motivation, conceptions of learning, epistemology, learning methods, learning environment, instrument validation, scale development
- MeSH terms
- Adult, Female, Humans, Health Knowledge, Attitudes, Practice, Male, Mental Health, Motivation, Pilot Projects, Predictive Value of Tests, Psychological Tests, Surveys and Questionnaires, Social Perception, Students, Medical, Sweden, Reproducibility of Results, Principal Component Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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