Differential Item Functioning

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bias
Category=JMB
Category=JNDH
Category=JNF
Category=JNU
DIF
DIF Analysis
DIF Categorization
DIF Estimate
DIF Hypothesis
DIF Measure
DIF Procedure
DIF Result
DIF Statistic
DIF Study
DIF Value
educational
educational assessment statistics
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
haenszel
IRT Model
Item Bias
Item Response Function
item response theory
mantel
Mantel Haenszel
Mantel Haenszel Procedure
Mantel Haenszel Statistic
Mantel-Haenszel method
Matching Criterion
Matching Variable
measurement invariance
MH Analysis
Negative DIF
Positive DIF
procedure
Rasch Model
response
Sensitivity Review
service
statistic
statistical methods for fairness evaluation
subgroup performance analysis
Test Bias
test development process
testing
values

Product details

  • ISBN 9781138967694
  • Weight: 635g
  • Dimensions: 152 x 229mm
  • Publication Date: 24 Nov 2015
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.