The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
Activity Number:
|
453
|
Type:
|
Topic Contributed
|
Date/Time:
|
Wednesday, August 1, 2012 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Section on Government Statistics
|
Abstract - #304975 |
Title:
|
The Role of Statistics in Uncovering Administrative Cheating on Tests: Use of Computer-Based Testing Data
|
Author(s):
|
Neal Kingston*+ and Gail Tiemann
|
Companies:
|
University of Kansas and University of Kansas
|
Address:
|
1122 West Campus Road, Lawrence, KS, 66047, United States
|
Keywords:
|
Examination ;
Cheating
|
Abstract:
|
A variety of statistical methods have been developed to look for evidence of administrative cheating on high stakes tests. Recent availability of computer administered testing provides much additional information (such as time spent on each item each time answers have been changed) that can provide evidence of the sensitivity of more traditional statistical approaches. This paper will present baseline data regarding answer changing behavior on computer-based tests and compare different forensic approaches to administrative cheating detection.
|
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 2012 program
|
2012 JSM Online Program Home
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.