A Local-State Government Spatial Data Sharing Partnership

A Local-State Spatial Data Sharing Partnership Model to Facilitate SDI Development
restrictions placed on the data indicates a high awareness of the licensing arrangements
that currently limit the use of state data by LGAs to internal business applications only.
6.4.4 Multiple Regression Analysis
Part 8 of the questionnaire examined a number of outcomes from the partnership initiatives
including the benefits that were derived, the improvements in data quality, frequency of
communication and the overall level of satisfaction. These responses were combined into
a single outcome factor through factor analysis. The final part of this analysis process
explored the relationship between the 13 factor components (predictor variables) and the
outcome component (criteria variable) through the use of multiple regression analysis.
A multiple regression model using the simultaneous technique was applied using the 13
grouped components from the factor analysis as the independent input variables and the
combined outcome factor as the dependent variable. The results of the regression analysis
are detailed in Appendix 8 and summarised in Table 6.6. The analysis yielded a model
that was significant: F(13,88)=4.659, p