Psychometric Properties of a New Self-Report Measure of Medical Student Stress using Classic and Modern Test Theory Approaches Article Swipe
Matthew J. Mosquera
,
Aaron J. Kaat
,
Melinda Ring
,
Gaurava Agarwal
,
Sydney Glickson
,
David Victorson
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-24027/v3
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-24027/v3
Background. Medical students face significant stressors related to the intense rigors of their training and education. Accurate measurement of their stress is important to quickly identify, characterize and ameliorate these challenges. Existing measures have limitations that modern measurement approaches, such as item response theory (IRT), are able to address. This study presents the calibration and validation of a new IRT-based measure called the Medical Student Stress Scale (MSSS). Methods. Following rigorous measurement development procedures described elsewhere, the authors created and tested a pool of 35 items with 348 1 st – 4 th year medical students along with demographic and external validity measures. Psychometric analysis included exploratory and confirmatory factor analyses, IRT modeling, and correlations with legacy measures. Results. Of the original 35 items, 22 were retained based on their ability to discriminate, provide meaningful information, and perform well against legacy measures. The MSSS differentiated stress scores between male and female students, as well as between year in school. Conclusion. Developed with input from medical students, the MSSS represents a student-centered measurement tool that provides precise, relevant information about stress and holds potential for screening and outcomes-related applications.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-24027/v3
- https://www.researchsquare.com/article/rs-24027/v3.pdf?c=1631877073000
- OA Status
- green
- Cited By
- 1
- References
- 18
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4233295188
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- OpenAlex ID
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https://openalex.org/W4233295188Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21203/rs.3.rs-24027/v3Digital Object Identifier
- Title
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Psychometric Properties of a New Self-Report Measure of Medical Student Stress using Classic and Modern Test Theory ApproachesWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-12-03Full publication date if available
- Authors
-
Matthew J. Mosquera, Aaron J. Kaat, Melinda Ring, Gaurava Agarwal, Sydney Glickson, David VictorsonList of authors in order
- Landing page
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https://doi.org/10.21203/rs.3.rs-24027/v3Publisher landing page
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https://www.researchsquare.com/article/rs-24027/v3.pdf?c=1631877073000Direct link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.researchsquare.com/article/rs-24027/v3.pdf?c=1631877073000Direct OA link when available
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Measure (data warehouse), Test (biology), Psychology, Stress (linguistics), Clinical psychology, Computer science, Philosophy, Data mining, Linguistics, Geology, PaleontologyTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2022: 1Per-year citation counts (last 5 years)
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18Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5073680918 |
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| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I1283280774 |
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