How do I build a nested (hierarchical) model in an ordered logistic regression

Question & Answer

Question

I am running the Ordinal Regression procedure (PLUM command) in SPSS/PASW Statistics. I would like to enter a block of predictors, such as a set of main effects, followed b y a second set of predictors, such as the interactions among the first set of predictors. The predictors in the first block would be contained in the second model, so that the first model would be nested in the second model. I would also like a test of whether the addition of the second block of predictors improves the fit of the model over the first block alone. This analysis would be similar to hierarchical linear regression, as described in Technote 1476749, in which multiple /METHOD ENTER subcommands are used to add blocks of new variables. Can such a hierarchical analysis be performed with the Ordinal Regression procedure?

[{"Product":{"code":"SSLVMB","label":"IBM SPSS Statistics"},"Business Unit":{"code":"BU048","label":"IBM Software"},"Component":"Not Applicable","Platform":[{"code":"PF025","label":"Platform Independent"}],"Version":"Not Applicable","Edition":"","Line of Business":{"code":"LOB76","label":"Data Platform"}}]

Log InLog in to view more of this document

This document has the abstract of a technical article that is available to authorized users once you have logged on. Please use Log in button above to access the full document. After log in, if you do not have the right authorization for this document, there will be instructions on what to do next.

Historical Number

88910

Was this topic helpful?

Document Information

More support for:
IBM SPSS Statistics

Software version:
Not Applicable

Document number:
425427

Modified date:
16 April 2020

UID

swg21486678

IBM Support

Tips