Results 21 to 30 of about 655,169 (388)

Towards standardization of measuring anxiety and depression: Differential item functioning for language and Dutch reference values of PROMIS item banks

open access: yesPLoS ONE, 2022
Introduction The outcomes anxiety and depression are measured frequently by healthcare providers to assess the impact of a disease, but with numerous instruments. PROMIS item banks provide an opportunity for standardized measurement.
E. Elsman   +4 more
semanticscholar   +1 more source

Gender differential item functioning on the Kentucky Inventory of Mindfulness Skills instrument using logistic regression

open access: yesREID (Research and Evaluation in Education), 2022
The item differential function (DIF) describes a situation in which testees of similar ability but from different demographic groups have varying chances of achieving the same result.
Sumin Sumin   +2 more
doaj   +1 more source

A Comparison of Linking Methods for Two Groups for the Two-Parameter Logistic Item Response Model in the Presence and Absence of Random Differential Item Functioning

open access: yesFoundations, 2021
This article investigates the comparison of two groups based on the two-parameter logistic item response model. It is assumed that there is random differential item functioning in item difficulties and item discriminations.
A. Robitzsch
semanticscholar   +1 more source

Detecting Differential Item Functioning in 2PL Multistage Assessments

open access: yesPsych, 2023
The detection of differential item functioning is crucial for the psychometric evaluation of multistage tests. This paper discusses five approaches presented in the literature: logistic regression, SIBTEST, analytical score-based tests, bootstrap score ...
Rudolf Debelak   +3 more
doaj   +1 more source

Differential item functioning and ad hoc interpretations [PDF]

open access: yesTeaching English Language, 2010
A plethora of research studies has focused on Differential Item Functioning. Despite the diversity of DIF detection techniques offered, little research has been done on the interpretation of DIF results.
Seyyed Mohammad Alavi, Hossein Karami
doaj   +1 more source

Evaluating the Magnitude of Differential Item Functioning in Polytomous Items [PDF]

open access: yesJournal of Educational and Behavioral Statistics, 1994
Several recent studies have investigated the application of statistical inference procedures to the analysis of differential item functioning (DIF) in polytomous test items that are scored on an ordinal scale. Mantel’s extension of the Mantel-Haenszel test is one of several hypothesis-testing methods for this purpose.
Rebecca Zwick, Dorothy T. Thayer
openaire   +3 more sources

An Evaluation of DIF Tests in Multistage Tests for Continuous Covariates

open access: yesPsych, 2021
Multistage tests are a widely used and efficient type of test presentation that aims to provide accurate ability estimates while keeping the test relatively short.
Rudolf Debelak, Dries Debeer
doaj   +1 more source

The effect of missing data and imputation on the detection of bias in cognitive testing using differential item functioning methods

open access: yesBMC Medical Research Methodology, 2022
Background Item response theory (IRT) methods for addressing differential item functioning (DIF) can detect group differences in responses to individual items (e.g., bias).
E. Nichols   +13 more
doaj   +1 more source

Improving the assessment of measurement invariance: Using regularization to select anchor items and identify differential item functioning.

open access: yesPsychological methods, 2020
A common challenge in the behavioral sciences is evaluating measurement invariance, or whether the measurement properties of a scale are consistent for individuals from different groups.
William C. M. Belzak, Daniel J. Bauer
semanticscholar   +1 more source

How to Perform Three-Step Latent Class Analysis in the Presence of Measurement Non-Invariance or Differential Item Functioning

open access: yesStructural Equation Modeling: A Multidisciplinary Journal, 2020
The practice of latent class (LC) modeling using a bias-adjusted three-step approach has become widely popular. However, the current three-step approach has one important drawback – its key assumption of conditional independence between external ...
J. Vermunt, J. Magidson
semanticscholar   +1 more source

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