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Masters
Thesis: Stability of groups of correlated
variables identified by exploratory factor and cluster
analysis
Supervisor: Professor
Annette Dobson
University: Research
Centre for Gender and Health, University of Newcastle,
Australia
Objective: To
determine which of the variables in a large health survey
of women are correlated with each other so that problems
of multicollinearity can be avoided in future analyses.
Methods: Cross-sectional
data were obtained from the baseline survey of 14,100
women (aged 45-50 years) enrolled in the Australian
Longitudinal Study on Women's Health. Five different
analytical techniques (factor analyses with varimax
and promax rotation and cluster analyses with single,
complete and density linkages) were used on three samples
of these women. The resulting factors and clusters were
used to define common groups of correlated variables.
Results: The 18
common groups of variables, consisting of 122 items,
fell into five broad categories - perceived physical
and mental health, health service use, gynaecological
health, lifestyle and demographics. The results obtained
using split samples and different analytical methods
suggest that these groups of correlated variables are
stable.
Conclusions and Implications: In studies
such as this, where large number of variables are collected,
a combination of factor analysis and cluster analysis
can be used to identify stable groups of correlated
variables. These groups may be used to create composite
variables, such as factor scores or summated scores,
or to identify one variable representative of the group.
The new variables can then be used in future analyses
so that the problems of multicollinearity can be avoided.
The identified correlated variables may also be used
to reduce both redundancy and the number of missing
values.
To
Contact jenny:
Jenny Powers
Womens Health Australia
Research Centre for Gender Health and Ageing
University of Newcastle
University drive
Callaghan NSW 2308
Australia
Email:
Jenny.powers@newcastle.edu.au
Click here for more information
about Jenny Powers.
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