This is the repository for the English version of the Future Elderly Model, originally developed at the Leonard D. Schaeffer Center for Health Policy and Microsimulation.
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Investigate the distribution of loneliness and social isolation by demographics #105
Looking at the distribution of the loneliness score (lnly) and social isolation index (sociso) by various other factors, the two indices do not always tell the same story. For example, people with lower education seem to be more likely to score highly on the loneliness scale, but low on the index of social isolation. In this particular case I think we need to look into the elements that make up the social isolation index, as I think there could be a relationship between some of these elements that could explain the difference, but it would still be useful to compare and contrast the other demographic distributions also.
TODO:
[ ] Create an R Notebook for investigating the distributions of both loneliness and social isolation by demographic groups
[ ] Many plots and tables by:
[ ] Gender
[ ] Education
[ ] Wealth Quintile
[ ] Race? (Probably not that useful as white makes up about 97% of the sample)
[ ] Age group (10 year groupings)
[ ] Look at the individual elements of the index of social isolation
[ ] Plot each element against education and other things to see if any one piece is more or less related to demographic groups than others.
Looking at the distribution of the loneliness score (
lnly
) and social isolation index (sociso
) by various other factors, the two indices do not always tell the same story. For example, people with lower education seem to be more likely to score highly on the loneliness scale, but low on the index of social isolation. In this particular case I think we need to look into the elements that make up the social isolation index, as I think there could be a relationship between some of these elements that could explain the difference, but it would still be useful to compare and contrast the other demographic distributions also.TODO: