Results 121 to 130 of about 517 (142)

Simulation Studies of the Effects of Small Sample Size and Studied Item Parameters on SIBTEST and Mantel-Haenszel Type I Error Performance

Journal of Educational Measurement, 1996
Two simulation studies investigated Type I error performance of two statistical procedures for detecting differential item functioning (DIF): SIBTEST and Mantel‐Haenszel (MH). Because MH and SIBTEST are based on asymptotic distributions requiring “large” numbers of examinees, the first study examined Type 1 error for small sample sizes.
Louis A. Roussos, William F. Stout
exaly   +2 more sources

Evaluating the performance of SIBTEST and MULTISIB for a multidimensional test

, 2006
Zhou, Jiawen
openaire   +2 more sources

Simulated Tests of Differential Item Functioning Using SIBTEST With and Without Impact

Journal of Educational Measurement, 2008
Monte Carlo simulations with 20,000 replications are reported to estimate the probability of rejecting the null hypothesis regarding DIF using SIBTEST when there is DIF present and/or when impact is present due to differences on the primary dimension to be measured. Sample sizes are varied from 250 to 2000 and test lengths from 10 to 40 items. Results
Alan J. Klockars, Yoonsun Lee
openaire   +1 more source

SMALL‐SAMPLE DIF ESTIMATION USING LOG‐LINEAR SMOOTHING: A SIBTEST APPLICATION

ETS Research Report Series, 2007
ABSTRACTThe purpose of the current study was to examine whether log‐linear smoothing of observed score distributions in small samples results in more accurate differential item functioning (DIF) estimates under the simultaneous item bias test (SIBTEST) framework.
Gautam Puhan, Tim P. Moses, Lei Yu, Neil J. Dorans   +3 more
openaire   +1 more source

Improving the Crossing-SIBTEST Statistic for Detecting Non-uniform DIF

Psychometrika, 2018
This paper demonstrates that, after applying a simple modification to Li and Stout’s (Psychometrika 61(4):647–677, 1996) CSIBTEST statistic, an improved variant of the statistic could be realized. It is shown that this modified version of CSIBTEST has a more direct association with the SIBTEST statistic presented by Shealy and Stout (Psychometrika 58(2)
openaire   +3 more sources

A SIBTEST Approach to Testing DIF Hypotheses Using Experimentally Designed Test Items

Journal of Educational Measurement, 2000
This paper considers a modification of the DIF procedure SIBTEST for investigating the causes of differential item functioning (DIF). One way in which factors believed to be responsible for DIF can be investigated is by systematically manipulating them across multiple versions of an item using a randomized DIF study (Schmitt, Holland, & Dorans ...
openaire   +1 more source

Small-Sample DIF Estimation Using SIBTEST, Cochran’s Z , and Log-Linear Smoothing

Applied Psychological Measurement, 2013
Minimum sample sizes of about 200 to 250 per group are often recommended for differential item functioning (DIF) analyses. However, there are times when sample sizes for one or both groups of interest are smaller than 200 due to practical constraints. This study attempts to examine the performance of Simultaneous Item Bias Test (SIBTEST), Cochran’s Z ...
Pui-Wa Lei, Hongli Li
openaire   +1 more source

The Impact of Multidimensionality on the Detection of Differential Bundle Functioning Using SIBTEST.

2008
In response to public concern over fairness in testing, conducting a differential item functioning (DIF) analysis is now standard practice for many large-scale testing programs (e.g., Scholastic Aptitude Test, intelligence tests, licensing exams). As highlighted by the Standards for Educational and Psychological Testing manual, the legal and ethical ...
openaire   +1 more source

The Development of a Standardized Effect Size for the SIBTEST Procedure

The Journal of Experimental Education, 2022
James D. Weese, Ronna C. Turner, Allison Ames, Xinya Liang, Brandon Crawford   +4 more
openaire   +1 more source

Modification of the Mantel-Haenszel and Logistic Regression DIF Procedures to Incorporate the SIBTEST Regression Correction

Journal of Educational and Behavioral Statistics, 2009
The Mantel-Haenszel (MH) and logistic regression (LR) differential item functioning (DIF) procedures have inflated Type I error rates when there are large mean group differences, short tests, and large sample sizes. When there are large group differences in mean score, groups matched on the observed number-correct score differ on true score ...
openaire   +1 more source