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Activity Number: 149
Type: Contributed
Date/Time: Monday, August 4, 2008 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #301140
Title: Testing the Proportional Odds Assumption for Complex Data
Author(s): George G. Brown*+
Companies: RTI International
Address: 3040 Cornwallis Road, Research Triangle Park, NC, 27709,
Keywords: Proportional Odds Assumption ; Multinomial Logit Models ; correlated data ; survey data ; SUDAAN
Abstract:

Modeling an ordinal categorical response variable is often performed using a cumulative logit link function. The proportional odds assumption (McCullagh, 1980) is key to the usage of this model. A likelihood-based version of this test is available in many statistical software packages. However, these available tests are not capable of taking into account a complex design that can include stratification, clustering, without replacement sampling and weighting or conducting the test when inference is based on replicate methods, such as Replicate Weight Jackknife and Balanced Repeated Replication. SUDAAN Release 10 will be capable of performing the test for proportional odds when any of the previously mentioned aspects are present in the data. This talk will discuss the theoretical implications of performing the proportional odds test and will demonstrate this test using survey data.

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Revised September, 2008