Running the Analysis
- To run a Complex Samples Ordinal Regression
analysis, from the menus choose:
Figure 1. Complex Samples Plan dialog box - In the Complex Samples Plan dialog, browse to and select poll.csplan as the plan file. See the topic Sample Files for more information.
- Select poll_jointprob.sav as the joint probabilities file.
- Click Continue.
Figure 2. Ordinal Regression dialog box - Select The legislature should enact a gas tax as the dependent variable.
- Select Age category through Driving frequency (when variables are listed in file order) as factors.
- Click Statistics.
Figure 3. Ordinal Regression Statistics dialog box - In the Statistics dialog, select Classification table in the Model Fit group.
- Select Estimate, Exponentiated estimate, Standard error, Confidence interval, and Design effect in the Parameters group.
- Select Wald test of equal slopes and Parameter estimates for generalized (unequal slopes) model.
- Click Continue.
- Click Hypothesis Tests in the Complex Samples Ordinal Regression
dialog box.
Figure 4. Hypothesis Tests dialog box Even for a moderate number of predictors and response categories, the Wald F test statistic can be inestimable for the test of parallel lines.
- In the Hypothesis Tests dialog, select Adjusted F in the Test Statistic group.
- Select Sequential Sidak as the adjustment method for multiple comparisons.
- Click Continue.
- Click Odds Ratios in the Complex Samples Ordinal
Regression dialog box.
Figure 5. Ordinal Regression Odds Ratios dialog box - In the Odds Ratios dialog, choose to produce cumulative odds ratios for Age category and Driving frequency.
- Select 10-14,999 miles/year, a more "typical" yearly mileage than the maximum, as the reference category for Driving frequency.
- Click Continue.
- Click OK in the Complex Samples Ordinal Regression dialog box.