JSM 2005 Online Program

Abstract #303452

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. 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, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	71
Type:	Contributed
Date/Time:	Sunday, August 7, 2005 : 4:00 PM to 5:50 PM
Sponsor:	Section on Statistical Education
Abstract - #303452
Title:	Evaluation of Classification Accuracy and Consistency in Educational Testing
Author(s):	Lisue Chen and Matthew Finkelman*+ and David Rogosa
Companies:	CTB/McGraw-Hill and CTB/McGraw-Hill and Stanford University
Address:	300 Glenwood Circle, Apt. 299, Monterey, CA, 93940,
Keywords:	accuracy ; consistency ; binomial ; compound binomial ; beta4
Abstract:	One important application of educational testing is to classify an examinee into one of multiple mutually exclusive categories. Statistical evaluation of such tests typically focuses on two key properties: consistency and accuracy. Consistency refers to the concurrence between the examinee's observed classification on the test and the classification of a parallel form, if one were taken; accuracy refers to the concurrence between the examinee's observed classification and his/her true classification, if it were known. Livingston and Lewis' (1995) method for estimating consistency and accuracy is a flexible and popular approach to this problem. In this paper, results of the Livingston-Lewis procedure are compared in a variety of settings. In particular, binomial and compound binomial models are used in conjunction with Livingston-Lewis and the accord between the two is investigated. Additionally, simulations are produced using different test lengths, reliabilities, and cut points. A bootstrap study is performed using data from an actual test administration.

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