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Overview

Test fairness is a moral imperative for both the makers and the users of tests. This book focuses on methods for detecting test items that function differently for different groups of examinees and on using this information to improve tests. Of interest to all testing and measurement specialists, it examines modern techniques used routinely to insure test fairness. Three of these relevant to the book's contents are:

* detailed reviews of test...
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Differential Item Functioning

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Overview

Test fairness is a moral imperative for both the makers and the users of tests. This book focuses on methods for detecting test items that function differently for different groups of examinees and on using this information to improve tests. Of interest to all testing and measurement specialists, it examines modern techniques used routinely to insure test fairness. Three of these relevant to the book's contents are:

* detailed reviews of test items by subject matter experts and members of the major subgroups in society (gender, ethnic, and linguistic) that will be represented in the examinee population

* comparisons of the predictive validity of the test done separately for each one of the major subgroups of examinees

* extensive statistical analyses of the relative performance of major subgroups of examinees on individual test items.
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Product Details

  • ISBN-13: 9781136601910
  • Publisher: Taylor & Francis
  • Publication date: 8/6/2012
  • Sold by: Barnes & Noble
  • Format: eBook
  • Pages: 472
  • File size: 6 MB

Table of Contents

Foreword - DIF: A Perspective From the Air Force Human Resources Laboratory
Preface
I Introduction and Background 1
1 Perspectives on Differential Item Functioning Methodology 3
2 History and Development of DIF 25
II Statistical Methodology 31
3 DIF Detection and Description: Mantel-Haenszel and Standardization 35
4 Detection of Differential Item Functioning Using the Parameters of Item Response Models 67
5 Different DIFs: Comment on the Papers Read by Neil Dorans and David Thissen 115
6 Model-Based Standardized Measurement of an Item's Differential Impact 123
7 A Monte Carlo Study of Factors That Affect the Mantel-Haenszel and Standardization Measures of Differential Item Functioning 137
8 Comments on the Monte Carlo Study of Donoghue, Holland and Thayer 167
9 Stability of the MH D-DIF Statistics Across Populations 171
10 An Item Response Theory Model for Test Bias and Differential Test Functioning 197
11 A Model for Missing Information About the Group Membership of Examinees in DIF Studies 241
III Practical Questions and Empirical Investigations 253
12 Item and Test Characteristics That are Associated with Differential Item Functioning 255
13 Comments on the O'Neill & McPeek Paper 277
14 Evaluating Hypotheses About Differential Item Functioning 281
15 A Note on the Value of Including the Studied Item in the Test Score When Analyzing Test Items for DIF 317
16 The Effect of Item Screening on Test Scores and Test Characteristics 321
17 Practical Questions in the Use of DIF Statistics in Test Development 337
18 The Use of Differential Item Functioning Statistics: A Discussion of Current Practice and Future Implications 349
IV Ancillary Issues 365
19 Sensitivity Review: The ETS Experience as a Case Study 367
20 Testing, DIF, and Public Policy 389
21 The Case Against Item Bias Detection Techniques Based on Internal Criteria: Do Item Bias Procedures Obscure Test Fairness Issues? 397
V Concluding Remarks and Suggestions 419
Author Index 439
Subject Index 445
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