عنوان

Handbook of quantitative methods for detecting cheating on tests

(Number (ISBN

9781138821804

(Number (ISBN

9781138821811

Erroneous ISBN

9781315743097

Number

dltt

Title Proper

Handbook of quantitative methods for detecting cheating on tests

General Material Designation

[Book]

First Statement of Responsibility

edited by Gregory J. Cizek and James A. Wollack.

Place of Publication, Distribution, etc.

New York :

Name of Publisher, Distributor, etc.

Routledge, Taylor & Francis Group,

Date of Publication, Distribution, etc.

2017.

Text of Note

Includes bibliographical references.

Text of Note

Exploring Cheating on Tests : The Context, the Concern, and the Challenges / Gregory J. Cizek and James A. Wollack -- Similarity, Answer Copying, and Aberrance : Understanding the Status Quo / Cengiz Zopluoglu -- Detecting Potential Collusion among Individual Examinees using Similarity Analysis / Dennis D. Maynes -- Identifying and Investigating Aberrant Responses Using Psychometrics-Based and Machine Learning-Based Approaches / Doyoung Kim, Ada Woo, and Phil Dickison -- Detecting Preknowledge and Item Compromise : Understanding the Status Quo / Carol A. Eckerly -- Detection of Test Collusion using Cluster Analysis / James A. Wollack -- Detecting Candidate Pre-knowledge and Compromised Content using Differential Person and Item Functioning / Lisa O'Leary and Russell Smith -- Identification of Item Preknowledge by the Methods of Information Theory and Combinatorial Optimization / Dmitry Belov -- Using Response Time Data to Detect Compromised Items and/or People / Keith A. Boughton, Jessalyn Smith and Hao Ren -- Detecting Erasures and Unusual Gain Scores : Understanding the Status Quo / Scott Bishop and Karla Egan -- Detection of Test Tampering at the Group Level / James A. Wollack and Carol A. Eckerly -- A Bayesian Hierarchical Linear Model for Detecting Aberrant Growth at the Group Level / William P. Skorupski, Joe Fitzpatrick and Karla Egan -- Using Nonlinear Regression to Identify Unusual Performance Level Classification Rates / J. Michael Clark, William P. Skorupski and Stephen Murphy -- Detecting Unexpected Changes in Pass Rates : A Comparison of Two Statistical Approaches / Matthew N. Gaertner and Yuanyuan Z. McBride -- Security Vulnerabilities Facing Next Generation Accountability Testing / Joseph Martineau, Daniel Jurich, Jeffrey B. Hauger, and Kristen Huff -- Establishing Baseline Data for Incidents of Misconduct in the NextGen Assessment Environment / Deborah J. Harris and Chi-Yu Huang -- Visual Displays of Test Fraud Data / Brett P. Foley -- The Case for Bayesian Methods when Investigating Test Fraud / William P. Skorupski and Howard Wainer -- When Numbers Are Not Enough : Collection and Use of Collateral Evidence to Assess the Ethics and Professionalism of Examinees Suspected of Test Fraud / Marc J. Weinstein -- What We Have Learned? / Lorin Mueller, Yu Zhang and Steve Ferrara -- The Future of Quantitative Methods for Detecting Cheating : Conclusions, Cautions, and Recommendations / James A. Wollack and Gregory J. Cizek.

0

Cheating (Education)-- Prevention-- Methodology.

Cheating (Education)-- Prevention-- Statistical methods.

Educational tests and measurements.

Cizek, Gregory J.

Wollack, James A.

Date of Transaction

20170717124212.0

Electronic name

[Book]

Y