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

Abstract Details

Activity Number: 162
Type: Topic Contributed
Date/Time: Monday, August 2, 2010 : 10:30 AM to 12:20 PM
Sponsor: Social Statistics Section
Abstract - #308976
Title: Multivariate Tobit Analysis of Test-Score Ceiling Effects
Author(s): Yan Yang*+
Companies: Arizona State University
Address: School of Mathematical and Statistical Sciences, Tempe, AZ, 85287,
Keywords: AIMS test ; Censoring ; EM algorithm ; Perfect score ; School effect ; Unequal covariance matrices
Abstract:

As proficiency-based reform continues to be emphasized across the United States, minimum-competency state tests have been increasingly used. It is not uncommon in such a testing instrument to observe a sizeable portion of students achieving the maximum possible score, which invalidates the normality assumption widely adopted for test-score based student achievement models. We develop a multivariate Tobit model with covariate-dependent error covariance matrices that allows for the occurrence of score ceilings. The practical utility of the proposed method is illustrated with simulation and AIMS test data.


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