The accessibility, predictors, and use of health care and social services among developmentally disabled elderly adults in Canada were examined using a nationally representative social survey. The first research hypothesis is that the independent variables will contribute significantly to the prediction of the dependent variables. A second hypothesis is that the slope of any given independent variable will not equal zero. The results of this research show that the illness (need) variables are the most predictive correlate of the utilization of health care and social services. The predisposing variables have secondary explanatory power, with the enabling variables accounting for the least amount of variance. The hypotheses were tested by step-wise multiple regression analysis using SPSS-X.

The purpose of this research is to identify major factors that can be used to explain and predict the process of growth in union membership as represented by union victories in certification elections. The emphasis of this research is on organization and social-structural level factors. The logistic regression procedure reveals that organization level variables are most significant in explaining union victories in certification elections. Among the organization level variables, Unit Size, as defined by the NLRB, is the most significant variable in each year of the study and across all industrial classifications.