Results 111 to 120 of about 517 (142)

Improved Type I Error Control and Reduced Estimation Bias for DIF Detection Using SIBTEST [PDF]

Journal of Educational and Behavioral Statistics, 1998
One emphasis in the development and evaluation of SIBTEST has been the control of Type I error (false flagging of non-differential item functioning [DIF] items) inflation and estimation bias. SIBTEST has performed well in comparative simulation studies of Type I error and estimation bias relative to other procedures such as the Mantel-Haenszel and ...
William Stout
exaly   +3 more sources

Supplemantary_Appendix – Supplemental material for The Power of Crossing SIBTEST

, 2020
Supplemental material, Supplemantary_Appendix for The Power of Crossing SIBTEST by Zhushan Li in Applied Psychological ...
Zhushan Li (8579472)
openaire   +2 more sources

sj-pdf-1-apm-10.1177_01466216211040498 – Supplemental Material for DIFSIB: A SIBTEST Package

, 2021
Supplemental Material, sj-pdf-1-apm-10.1177_01466216211040498 for DIFSIB: A SIBTEST Package by James D.
James D. Weese (11496572)
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A Kernel-Smoothed Version of SIBTEST With Applications to Local DIF Inference and Function Estimation

Journal of Educational and Behavioral Statistics, 1996
Smoothed SIBTEST, a nonparametric DIF detection procedure, amalgamates SIBTEST and kernel-smoothed item response function estimation. This procedure assesses DIF as a function of the latent trait θ that the test is designed to measure. Smoothed SIBTEST estimates this Junction with increased efficiency, as compared to SIBTEST, while providing hypothesis
William Stout, Jeffrey A Douglas
exaly   +2 more sources

A Power Formula for the SIBTEST Procedure for Differential Item Functioning

Applied Psychological Measurement, 2014
A power formula for the SIBTEST procedure for differential item functioning (DIF) is derived. The power of SIBTEST is related to the item response function (IRF) for the studied item, the latent trait distributions and the sample sizes for the reference and focal groups, and the proportion of each group in the sample.
Zhushan Li
exaly   +2 more sources

Transforming SIBTEST to Account for Multilevel Data Structures

Journal of Educational Measurement, 2015
SIBTEST is a differential item functioning (DIF) detection method that is accurate and effective with small samples, in the presence of group mean differences, and for assessment of both uniform and nonuniform DIF. The presence of multilevel data with DIF detection has received increased attention. Ignoring such structure can inflate Type I error. This
Brian French
exaly   +2 more sources

Establishing Effect Size Guidelines for Interpreting the Results of Differential Bundle Functioning Analyses Using SIBTEST

Educational and Psychological Measurement, 2011
The purpose of this simulation study was to establish general effect size guidelines for interpreting the results of differential bundle functioning (DBF) analyses using simultaneous item bias test (SIBTEST). Three factors were manipulated: number of items in a bundle, test length, and magnitude of uniform differential item functioning (DIF) against ...
Cindy M. Walker, Bo Zhang, Kathleen Banks, Kevin Cappaert   +3 more
openaire   +2 more sources

Performance of SIBTEST When the Percentage of DIF Items is Large

Applied Measurement in Education, 2004
Differential item functioning (DIF) analyses are used to identify items that operate differently between two groups, after controlling for ability. The Simultaneous Item Bias Test (SIBTEST) is a popular DIF detection method that matches examinees on a true score estimate of ability.
Mark Gierl
exaly   +2 more sources

Comparing Performances (Type I error and Power) of IRT Likelihood Ratio SIBTEST and Mantel-Haenszel Methods in the Determination of Differential Item Functioning

Educational Sciences: Theory & Practice, 2014
This simulation study compared the performances (Type I error and power) of Mantel-Haenszel (MH), SIBTEST, and item response theory-likelihood ratio (IRT-LR) methods under certain conditions. Manipulated factors were sample size, ability differences between groups, test length, the percentage of differential item functioning (DIF), and underlying model
KELECİOĞLU, HÜLYA, ATALAY KABASAKAL, KÜBRA, GÖK, BİLGE, Arsan, Nihan   +3 more
openaire   +3 more sources

Multi-Group Generalizations of SIBTEST and Crossing-SIBTEST

Applied Measurement in Education, 2023
Robert Chalmers
exaly   +2 more sources