Journal ArticleDOI
Item bias and item response theory
TLDR
In this paper, the authors discuss the definition, detection, and explanation of item bias, and four strategies are described: qualitative, correlational, quasi-experimental, and experimental research.About:
This article is published in International Journal of Educational Research.The article was published on 1989-01-01. It has received 474 citations till now. The article focuses on the topics: Item response theory & Differential item functioning.read more
Citations
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Journal ArticleDOI
Measurement Invariance, Factor Analysis and Factorial Invariance.
TL;DR: In this article, structural bias, weak measurement invariance, strong factorial invariance (SFI), and factorial robustness have been defined and defined for employment/admissions testing and salary equity.
Journal ArticleDOI
Investigating population heterogeneity with factor mixture models.
Gitta H. Lubke,Bengt Muthén +1 more
TL;DR: A step-by-step analysis of a subset of data from the Longitudinal Survey of American Youth illustrates how factor mixture models can be applied in an exploratory fashion to data collected at a single time point.
Journal ArticleDOI
Assessing Factorial Invariance in Ordered-Categorical Measures
Roger E. Millsap,Jenn Yun-Tein +1 more
TL;DR: In this paper, the authors present a comprehensive statement of identification conditions for the multiple-population case, with an emphasis on model specification and identification, and the use of the method in the study of factorial invariance is described.
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An essay on measurement and factorial invariance.
TL;DR: The purpose of this essay is to review the definitions and assumptions associated with factorial invariance, placing this formulation in the context of bias, fairness, and equity.
Journal ArticleDOI
Methodology Review: Statistical Approaches for Assessing Measurement Bias
TL;DR: In this paper, a review of statistical methods for detecting measurement bias in psycho-logical and educational tests is presented, which employs a conceptual framework that distin guishes methods of detecting measuring bias based on either observed or unobserved conditional invariance models.
References
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Book
Applications of Item Response Theory To Practical Testing Problems
TL;DR: The application of item response theory to practical testing problems is discussed in this article, where the authors present an example of the application of the theory to real-world testing problems in a practical setting.
Book
Item Response Theory: Principles and Applications
TL;DR: In this article, the authors provide some background to item response theory and assume assumptions of Item Response Theory, and propose an approach for addressing model-data fit, including test equivalence, test-equation, and construction of tests.