Selection of bolt-ons after factor analysis identification.pdf (1.09 MB)
Download file

Selection of bolt-ons after factor analysis identification: are linear regression models a useful technique?

Download (1.09 MB)
posted on 2020-02-25, 12:21 authored by Aureliano Paolo Finch, John Brazier, Clara MukuriaClara Mukuria
It is now recognized that the EQ-5D may miss dimensions important for some conditions. When this happens, a possible solution is adding bolt-ons to expand its descriptive system. Previous bolt-on studies have identified potential candidates using information on validity in specific areas such as vision (1). Although this is a useful approach for identifying individual bolt-ons, it does not help in identifying what other dimensions may be missing from the EQ-5D. Factor analysis has been seen to be a potential approach for bolt-on identification. This techniques pinpoints to a list of factors, and items loading on them, that are not related to the EQ-5D latent constructs(2). These can be adapted / developed into bolt-ons. However, not all bolt-ons can be added to the EQ-5D simultaneously, as this would affect the measure’s acceptability and feasibility. Hence, methods to select bolt-ons from the identified list are needed. This study investigates the possibility of using linear regression models for the selection of bolt-ons after factor analytic identification



There is no personal data or any that requires ethical approval


The data complies with the institution and funders' policies on access and sharing

Sharing and access restrictions

The data can be shared openly

Data description

  • The file formats are open or commonly used

Methodology, headings and units

  • Headings and units are explained in the files