Development of a functioning metric for the ageing population using data from the survey of health, ageing and retirement in Europe (SHARE).

ABSTRACT:

Background

Beyond mortality and morbidity, health statistics would benefit from reporting information on functioning, the third health indicator. The objective of this article is to use data from the Swiss Survey of Health, Ageing and Retirement in Europe (SHARE) to exemplarily create a psychometrically sound and valid metric of functioning for the ageing population living in Switzerland.

Methods

Partial Credit Model (PCM) analysis, including analysis of targeting, item fit, local item dependencies (LID), unidimensionality, and differential item functioning (DIF), tested the psychometric properties of selected items. The DIF analysis investigated the invariance of item difficulties across sex and age groups, country, language, and the assessment Wave.

Results

Data fro

SUBMITTER: Fellinghauer C 

PROVIDER: S-EPMC12021154 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature