JSM 2003 Online Program

Abstract #300133

This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

Back to main JSM 2003 Program page

Activity Number:	205
Type:	Contributed
Date/Time:	Tuesday, August 5, 2003 : 8:30 AM to 10:20 AM
Sponsor:	Section on Bayesian Stat. Sciences
Abstract - #300133
Title:	A Hierarchical Modeling Approach to Mathematics Placement
Author(s):	Kevin C. Mahoney*+
Companies:	U.S. Coast Guard Academy
Address:	5 Mallard Cove, East Hampton, CT, 06424,
Keywords:	regression ; hierarchical modeling
Abstract:	A counterintuitive result is addressed in data from the mathematics placement program at the United States Coast Guard Academy. Mean scores from 15 years of testing are examined for a trend, first using linear regression and then using a Bayesian hierarchical model. A careful analysis reveals that the linear regression approach overstates the significance of the trend because it ignores a nonconstant standard deviation over time. The hierarchical approach incorporates the standard deviation resulting in a more modest assessment of the trend.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2003 program