It was arbitrarily chosen to be the reference cluster because we wanted to see what characteristics were associated with the different patterns of service utilization for increased levels of utilization as represented by the other utilization patterns.
Of the socio-demographic variables, age had the strongest association with increasing levels of health care utilization.
We confirmed health status, primarily ADG score, and increased age to be strongly associated with increasing levels of health care utilization.
This analysis shows a positive incremental coordination between ACT dimensions and one important likely consequence of superior ACT context scores; namely, increasing levels of instrumental research utilization.
The results showed a positive incremental relationship with increasing levels of instrumental research utilization (i.e., the higher the contextual scores for each factor assessed relative to the sample average, the better the level of research utilization).
As a second (related but more detailed) test of relations to other variables validity, we examined whether the mean values for each ACT concept increased with increasing levels of instrumental research utilization, and we assessed the mean differences for statistical significance using one-way analysis of variance (ANOVA).
Relations to other variables were examined using: (1) bivariate correlations; (2) change in mean values of CRU with increasing levels of other kinds of research utilization; and (3) multivariate linear regression.
In our assessment of change in mean values with increasing levels of instrumental, persuasive, and overall research utilization, item 3 displayed the least change (Table 5).
They're also increasing levels of service.
The result shows that while wood, charcoal and kerosene utilization decline with increasing level of education, electricity utilization increases gradually with rising level of education, while LPG utilization rises sharply with increase in the level of education.
