Selection of bolt-ons after factor analysis identification.pdf (1.09 MB)
Download fileSelection of bolt-ons after factor analysis identification: are linear regression models a useful technique?
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posted on 2020-02-25, 12:21 authored by Aureliano Paolo Finch, John Brazier, Clara MukuriaClara MukuriaIt 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
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