Detection of Differential Item Functioning with Nonlinear Regression: A Non-IRT Approach Accounting for Guessing
Abstract
In this article we present a general approach not relying on item response theory models (non-IRT) to detect differential item functioning (DIF) in dichotomous items with presence of guessing. The proposed nonlinear regression (NLR) procedure for DIF detection is an extension of method based on logistic regression. As a non-IRT approach, NLR can be seen as a proxy of detection based on the three-parameter IRT model which is a standard tool in...
Paper Details
Title
Detection of Differential Item Functioning with Nonlinear Regression: A Non-IRT Approach Accounting for Guessing
Published Date
Dec 1, 2017
Volume
54
Issue
4
Pages
498 - 517
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History