The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Evaluation of psychometric properties of scales measuring student academic satisfaction: A Systematic review
Open accessAbstract
BACKGROUND: Student satisfaction has an impact on student motivation, recruitment of new students, and retention of existing students. Hence, it is important for researchers and academic institutes to assess student academic satisfaction by valid and reliable scales. The aim of this study was to rigorously assess methodological quality and psychometric properties of scales measuring student academic satisfaction. METHODS: In this systematic review, databases including Scopus, PubMed, ProQuest, ScienceDirect, and Web of Science, and two Persian databases were searched using relevant keywords such as academic satisfaction, student satisfaction, university satisfaction, campus satisfaction, academic life experience, validation, and psychometric and factor analysis from 1970 to December 2018. Considering eligibility criteria, studies were selected after titles and abstracts screening. The methodological quality assessment was performed by the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist and the Terwee quality criteria. RESULTS: Of 814 retrieved articles, 13 studies were included in the study. Based on the COSMIN checklist, structural validity (84%), content validity (53%), and hypothesis testing (53%) were the most reported properties. One study reported cross-cultural validity, one for criterion validity, and none reported measurement error. CONCLUSION: The results of our study showed that in spite of ≥48 years of development in student satisfaction scales; however, each scale has at least one “poor” psychometric property based on the COSMIN checklist. Quality appraisal of scales is necessary after developing and performing psychometric process.
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“While the COSMIN tool was originally devised for the medical field, it has since been used in both psychological66,67 and educational research68.”
From A systematic review of AI literacy scales (2024) · cites this paper as [68]
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Quality criteria were proposed for measurement properties of health status questionnaires
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Cited by
Sorted by citations
A systematic review of AI literacy scales
Lintner, T. (2024) · npj Science of Learning · doi:10.1038/s41539-024-00264-4 · Cited by 292
Metadata
- Authors
- Rahmatpour, P., Sharif Nia, H., & Peyrovi, H.
- Affiliations
- Iran University of Medical Sciences (IR)
- Department of Nursing, School of Nursing and Midwifery Amol, Mazandaran University of Medical Sciences, Sari, Iran
- Corresponding author
- Peyrovi, Hamid
- Venue
- Journal of Education and Health Promotion
- Published
- 2019-12
- Volume
- 8
- Issue
- 1
- Pages
- 256-256
- ISSN
- 2277-9531 (ISSN-L)
- 2319-6440
- PMC
- PMC6967218
- OpenAlex
- W3008233923
- Cited by
- 29
- References
- 17
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 7 · 2023: 8 · 2022: 2 · 2021: 1 · 2020: 2
- FWCI
- 0.36
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc-sa
- Locations
- Journal of Education and Health Promotion (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Nursing › Research and Theory › Health Education and Validation
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Education › Educational Outcomes and Influences
- Keywords
- psychometric properties, scale validation, structural validity, content validity, measurement error, university students, student retention, student recruitment
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