Chapter
11
Complex Samples Ordinal Regression
The Complex Samples Ordinal Regression procedure performs regression analysis on a binary or ordinal dependent variable for samples drawn by complex sampling methods. Optionally, you can request analyses for a subpopulation.
Example. Representatives considering a bill before the legislature are interested in whether there is public support for the bill and how support for the bill is related to voter demographics. Pollsters design and conduct interviews according to a complex sampling design. Using Complex Samples Ordinal Regression, you can fit a model for the level of support for the bill based upon voter demographics.
Data. The dependent variable is ordinal. Factors are categorical. Covariates are quantitative variables that are related to the dependent variable. Subpopulation variables can be string or numeric but should be categorical.
Assumptions. The cases in the data file represent a sample from a complex design that should be analyzed according to the specifications in the file selected in the Complex Samples Plan dialog box.
Obtaining Complex Samples Ordinal Regression
From the menus choose:
Analyze > Complex Samples > Ordinal Regression...
ESelect a plan file. Optionally, select a custom joint probabilities file.
EClick Continue.
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