This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 288
Type: Topic Contributed
Date/Time: Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
Sponsor: Social Statistics Section
Abstract - #306433
Title: Logistic Regression with Floor and Ceiling Effects
Author(s): David Rindskopf*+
Companies: CUNY Graduate Center
Address: 23 Carlisle Road, Chestnut Ridge, NY, 10977,
Keywords: logistic regression ; latent class analysis ; errors in variables
Abstract:

Logistic regression typically assumes that at low levels of a (continuous) predictor X, the probability of response is near 0, and for high levels of X the probability of response is near 1. But for various reasons one or both of these assumptions might not be true. This talk will discuss models that make neither of these assumptions, illustrate their use (and problems with their use). Both fixed and random-effects models will be examined. I will also discuss the equivalence of this model with two other seemingly-unrelated models.


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