To enable comparisons between the various organisations, a Multidimensional
Scaling tool PROXSCAL (PROXimity SCAling) was used,
as this can be very useful in highlighting relationships within data
(Young, 1987; Garson, 2012) and is more flexible for visualising
and data analysing than other methods such as ALSCAL (Jung and
Takane, 2015). PROXSCAL is often used in fields such as ecology
and psychology (Borg and Groenen, 2005; Gatrell 1983), and has
been previously used to visualise correlations in survey responses
(e.g. Grunert et al., 2012). In this study PROXSCAL was used to
compare individual advisors in terms of the measures they recommended
and then derive an overall proximity matrix indicating
the degrees of difference between them. The same data were also
used to assess the similarities between measures in terms of which
advisors recommended them.