Abstract
This research suggests some social indicator candidates for families housed in multiple-family environments. Objective, subjective, and behavioral data sets are all represented in the analysis. This range of social statistics and the utilization of appropriate statistical analysis are viewed as necessary conditions for generating social indicators rather than simply relying on arbitrarily selected social statistics and assume they are indicators. Analysis of 1253 interviews in 88 Alberta subsidized housing projects reveals that subjective data from the tenant category of housing variables rank highest in accounting for present levels of user satisfaction and are viewed therefore as reasonable social indicators with respect to that issue.
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