Psychometric properties of Chinese version of the Multiple Intelligence Scale (MIS) among older adults: Rasch analysis and confirmatory factor analysis

Lin, T-Y, Hu, F-W, Li, H-M, Griffiths, MD ORCID: https://orcid.org/0000-0001-8880-6524, Papour, AH, Chen, I-H and Lin, C-Y, 2025. Psychometric properties of Chinese version of the Multiple Intelligence Scale (MIS) among older adults: Rasch analysis and confirmatory factor analysis. Journal of Applied Gerontology. ISSN 0733-4648

Preview

Text 2360532_Griffiths.pdf - Post-print Download (3MB) | Preview

Abstract

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. What this paper adds • Current cognitive assessments are narrow and primarily assess academic intelligence, and there is little research examining the evaluation of multiple dimensions of intelligence among older adults. • The results of the present study demonstrated that the Multiple Intelligence Scale (MIS) is an effective instrument for assessing MI among older adults and can distinguish the degree of difficulty between items. Applications of study findings • Analysis of the MIS's psychometric profiles showed that older adults scored highest for intrapersonal and inter-personal intelligence and lowest for bodily-kinesthetic and naturalist intelligence. • Exploratory structural equation modelling had the best model fit and showed that all items were embedded within their belonged domains, reflecting good construct validity and unidimensionality.

Item Type:	Journal article
Publication Title:	Journal of Applied Gerontology
Creators:	Lin, T.-Y., Hu, F.-W., Li, H.-M., Griffiths, M.D., Papour, A.H., Chen, I.-H. and Lin, C.-Y.
Publisher:	SAGE Publications
Date:	26 January 2025
ISSN:	0733-4648
Identifiers:	Number Type 10.1177/07334648241313002 DOI 2360532 Other
Rights:	Accepted for publication in Journal of Applied Gerontology. Reuse is restricted to non-commercial and no derivative uses.
Divisions:	Schools > School of Social Sciences
Record created by:	Laura Borcherds
Date Added:	28 Jan 2025 12:05
Last Modified:	28 Jan 2025 12:05
URI:	https://irep.ntu.ac.uk/id/eprint/52934

Actions (login required)

Edit View

Statistics

Views

Downloads