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Dataset Information

Psychometric validation of the French version of two scales measuring general (HLS<sub>19</sub>-Q12) and navigational (HLS<sub>19</sub>-NAV) health literacy using the Rasch model.


ABSTRACT:

Background

To examine the psychometrics properties of the French version of two scales measuring general (HLS19-Q12) and navigational (HLS19-NAV) health literacy (HL) using validation methods based on modern psychometric test theories: a Rasch model analysis.

Methods

The data on representative samples of the French adult population came from the Health Literacy Survey (N = 2 003), conducted in France in two waves (2020 and 2021), and from the third wave of SLAVACO study (N = 2 022), conducted in December 2021. A Rasch analysis was performed using a partial credit model with marginal maximum likelihood estimation adapted to polytomous data. Category probability curves were used to examine whether participants found it consistently difficult to distinguis

SUBMITTER: Touzani R 

PROVIDER: S-EPMC11542190 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature