Structural Validation and Measurement Invariance of the HLS-Q12 Health Literacy Instrument in Finnish Adults: Comparing Traditional and Alignment Methods

Objectives To examine the internal structure, internal consistency, and measurement invariance of the HLS-Q12 across sociodemographic groups in Finnish adults, using traditional multi-group confirmatory factor analysis (MGCFA) and alignment optimization. Methods We analyzed data from 7,077 Finnish adults drawn from a nationally representative national sample (n = 4,003) and a regional sample from North Savo (n = 3,074). Analyses included confirmatory factor analysis, MGCFA, and alignment optimization with Monte Carlo evaluation. Invariance was examined across gender, age, education, and study samples. Results Reliability was high (α = 0.905 & ω = 0.896) and unidimensional structure (CFI = 0.951, TLI = 0.935, RMSEA = 0.058). MGCFA supported scalar invariance for gender, education, and study samples. Alignment optimization exhibited acceptable non-invariance (2.8%–25% of parameters), primarily in intercepts. Women and individuals with higher education showed higher health literacy; young adults exhibited higher levels than older cohorts. Conclusion The Finnish HLS-Q12 supported subgroup comparisons for population monitoring, with largely adequate measurement invariance across key sociodemographic groups. The evidence pertains primarily to internal structure and measurement invariance. Further studies should examine additional validity evidence using external criteria.

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Journal
International Journal of Public Health
Published
2026-03-26
DOI
https://doi.org/10.3389/ijph.2026.1609337
Primary Topic
Health Literacy and Information Accessibility
Type
article
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article

Structural Validation and Measurement Invariance of the HLS-Q12 Health Literacy Instrument in Finnish Adults: Comparing Traditional and Alignment Methods

Tomi Mäki-opas, Marjorita Sormunen, Hanna Rekola, Jing Zhou
International Journal of Public Health
Health Literacy and Information Accessibility
article

Structural Validation and Measurement Invariance of the HLS-Q12 Health Literacy Instrument in Finnish Adults: Comparing Traditional and Alignment Methods

Tomi Mäki-opas, Marjorita Sormunen, Hanna Rekola, Jing Zhou
article en

Abstract

Objectives To examine the internal structure, internal consistency, and measurement invariance of the HLS-Q12 across sociodemographic groups in Finnish adults, using traditional multi-group confirmatory factor analysis (MGCFA) and alignment optimization. Methods We analyzed data from 7,077 Finnish adults drawn from a nationally representative national sample (n = 4,003) and a regional sample from North Savo (n = 3,074). Analyses included confirmatory factor analysis, MGCFA, and alignment optimization with Monte Carlo evaluation. Invariance was examined across gender, age, education, and study samples. Results Reliability was high (α = 0.905 & ω = 0.896) and unidimensional structure (CFI = 0.951, TLI = 0.935, RMSEA = 0.058). MGCFA supported scalar invariance for gender, education, and study samples. Alignment optimization exhibited acceptable non-invariance (2.8%–25% of parameters), primarily in intercepts. Women and individuals with higher education showed higher health literacy; young adults exhibited higher levels than older cohorts. Conclusion The Finnish HLS-Q12 supported subgroup comparisons for population monitoring, with largely adequate measurement invariance across key sociodemographic groups. The evidence pertains primarily to internal structure and measurement invariance. Further studies should examine additional validity evidence using external criteria.

International Journal of Public HealthVol. 71
Shanghai Lixin University of Accounting and Finance (CN), Wells Fargo (United States) (US), University of Eastern Finland (FI), Finland University (FI)
Quality Education
Openalex Percentile: Top 10%
Health Literacy and Information Accessibility
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Structural Validation and Measurement Invariance of the HLS-Q12 Health Literacy Instrument in Finnish Adults: Comparing Traditional and Alignment Methods — Tomi Mäki-opas, Marjorita Sormunen, et al. · International Journal of Public Health (2026) | TGRS Research Map | TGRS