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Psychometric properties of Chinese version of the Multiple Intelligence Scale (MIS) among older adults: Rasch analysis and confirmatory factor analysis
College of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan.
Center for Long-Term Care Research, Kaohsiung Medical University, Kaohsiung, Taiwan.
Department of Psychiatry, School of Medicine, Tzu Chi University, Hualien, Taiwan.
International Gaming Research Unit, Psychology Department, Nottingham Trent University, Nottingham, UK.
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2025 (English)In: Journal of Applied Gerontology, ISSN 0733-4648, E-ISSN 1552-4523, article id 7334648241313002Article in journal (Refereed) Epub ahead of print
Abstract [en]

The present study utilized advanced psychometric methods (i.e., Rasch analysis and confirmatory factor analysis [CFA]) to evaluate the factor structure of the Multiple Intelligence Scale (MIS) and its validity among Taiwanese older adults.

METHODS: A cross-sectional study design using convenience sampling was conducted among 200 community-dwelling participants aged 65 years or older.

RESULTS: The Rasch analyses showed that the MIS had good structure validity and unidimensionality. Among various CFA models testing the MIS factor structure, exploratory structural equation modelling performed the best given its parsimonious and excellent fit indices.

CONCLUSIONS: The MIS can be used among older adults in a culturally-fair way for understanding their multiple intelligences. Using the MIS, healthcare providers could encourage older people to assess their own strengths and weaknesses of intelligence. The results suggest that more research on older adults' MI is needed to tailor bespoke therapeutic programs to individual needs in community settings.

Place, publisher, year, edition, pages
Sage Publications, 2025. article id 7334648241313002
Keywords [en]
Multiple Intelligence Scale, Rasch analysis, older adults, psychometric properties, scale development
National Category
Health Care Service and Management, Health Policy and Services and Health Economy Neurology
Identifiers
URN: urn:nbn:se:hj:diva-67135DOI: 10.1177/07334648241313002PubMedID: 39865590Local ID: ;intsam;996122OAI: oai:DiVA.org:hj-67135DiVA, id: diva2:1931870
Note

Funding text: This work was supported by the Kaohsiung Medical University Research Foundation (KMU-Q113014); National Science and Technology Council (113-2410-H-037-001-MY2), Taishan Scholars Program Special Fund (tsqn202211130); Hualien Tzu Chi Hospital, Hualien, Taiwan (TCMF-JCT 113-03).

Available from: 2025-01-28 Created: 2025-01-28 Last updated: 2025-01-30

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Pakpour, Amir H.

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