JSM 2004 - Toronto

Abstract #300603

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2004); 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 2004 Program page
Activity Number: 126
Type: Luncheons
Date/Time: Monday, August 9, 2004 : 12:30 PM to 1:50 PM
Sponsor: Section on Health Policy Statistics
Abstract - #300603
Title: Generalizability Theory
Author(s): Joseph C. Cappelleri*+
Companies: Pfizer Inc.
Address: Eastern Point Rd. (MS8260-2222), Groton, CT, 06340,
Keywords: variance components ; reliability ; measurement error ; rating scales ; psychometrics ; analysis of variance
Abstract:

Generalizability theory is a statistical theory about the dependability of behavioral measurements. Dependability refers to the accuracy of generalizing from a person's observed score on a measure (e.g., behavioral observation, opinion survey, rating scale) to an estimate of her ideal score that would have been received over a defined universe. Generalizability theory liberalizes classical theory by employing analysis-of-variance methods that allow a researcher to untangle multiple sources of error variance, rather than keeping error variance undifferentiated as in classical theory. Although the theory is now over 30 years old, with roots in psychological and educational research, it is only in the last several years that generalizability theory has sprouted in the health sciences. This roundtable will provide an introduction to generalizability theory, discuss its concepts and usefulness, and highlight its practical application in health measurement scales.

  • 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 2004 program

JSM 2004 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2004