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A Model-Based Standardization Approach That Separates True Bias/DIF From Group Ability Differences and Detects Test Bias/DTF as Well as Item Bias/DIF

Psychometrika, 1993
item bias, test bias, DIF, differential test functioning, DTF, SIB, SIBTEST, standardization, simultaneous items bias, valid subtest, bias/DIF, Mantel-Haenszel,
William Stout
exaly   +2 more sources

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Investigating Item Bias in a CS1 Exam with Differential Item Functioning

Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 2021
Reliable and valid exams are a crucial part of both sound research design and trustworthy assessment of student knowledge. Assessing and addressing item bias is a crucial step in building a validity argument for any assessment instrument. Despite calls for valid assessment tools in CS, item bias is rarely investigated.
Matthew J. Davidson, Brett Wortzman, Amy J. Ko, Min Li 0090   +3 more
openaire   +2 more sources

Test for Item Bias in a Quality of Life Questionnaire

Journal of Clinical Epidemiology, 1995
Item bias (differential item functioning) analysis examines whether the construction of an index from two or more variables results in bias in relation to sex, age, or other criteria. Item bias may lead to erroneous conclusions because of distortion or dilution of the effects measured.
M Groenvold, Mogens Groenvold, S Kreiner
exaly   +3 more sources

Item Bias Detection in the Hospital Anxiety and Depression Scale Using Structural Equation Modeling: Comparison With Other Item Bias Detection Methods [PDF]

Quality of Life Research, 2017
Purpose Comparison of patient-reported outcomes may be invalidated by the occurrence of item bias, also known as differential item functioning. We show two ways of using structural equation modeling (SEM) to detect item bias: (1) multigroup SEM, which ...
Mathilde G E Verdam, Mirjam A Sprangers, Frans Oort   +2 more
exaly   +3 more sources

Item bias and item response theory

International Journal of Educational Research, 1989
Abstract In this chapter the definition, detection, and explanation of item bias is discussed. Item bias is generally defined as conditional dependence; within the framework of item response theory the general definition implies that the item characteristic curves of two groups do not coincide.
openaire   +1 more source

5 Differential Item Functioning and Item Bias

2006
Publisher Summary This chapter presents a description of many of the commonly employed methods in the detection of item bias. Because much of the statistical detection of item bias makes the use of differential item functioning (DIF) procedures, the majority of this chapter focuses on the description of statistical methods for the analysis of DIF ...
Randall D. Penfield, Gregory Camilli
openaire   +1 more source

Item Response Bias in Angler Expenditures

Journal of Leisure Research, 1992
Item response bias associated with the reporting of recreation-related expenditures was examined in a survey of anglers fishing in New York State.
Nancy A Connelly, Tommy L Brown
exaly   +2 more sources

Explaining Item Bias

1986
In this paper some methodological aspects of item bias research are discussed. First, the definitions of item bias are given; it is emphasised that the conditional definition, with related conditional item bias detection methods must be preferred. Second, the conditional definition is used for designing models for simulating item bias; the results of ...
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The Regression BIAS Method: A Unified Approach for Detecting Item BIAS and Selection BIAS

Educational and Psychological Measurement, 1985
Although several different procedures are available for detecting item bias and selection bias, there does not appear to be a single procedure for detecting both types of bias. It is proposed that the Regression Model, which is popular in selection bias research, be adopted for item bias detection, thereby providing a common framework for studying both
Nambury S. Raju, Jacques Normand
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A Note on Measuring Item Bias

The Journal of Experimental Education, 1985
AbstractThis brief note suggests a new method of measuring item bias. A test for item bias is also suggested that is based on standard asymptotic results.
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