000			02092nam a22002057a 4500
005			20240508065242.0
008			240508b |||||||| |||| 00| 0 eng d
022			_a0022-0973
100			_aWeese, James D.
245			_aThe Development of a Standardized Effect Size for the SIBTEST Procedure _b(Journal Article)
260			_aPhiladelphia, USA _b: Taylor and Francis Group and Routledge _c,March 2024
300			_a206-224p.
440			_aThe Journal of Experimental Education _vVolume 92: Number 1, 2024
500			_a***______{For Hard Copy, Please visit Library.}________***
520			_aAbstract: In this study a standardized effect size was created for use with the SIBTEST procedure. Using this standardized effect size, a single set of heuristics was developed that are appropriate for data fitting different item response models (e.g., 2-parameter logistic, 3-parameter logistic). The standardized effect size rescales the raw beta-uni value using a pooled variation that incorporates the beta-uni inclusion factor. Although the heuristics for the standardized and unstandardized effect sizes provide similar true-positive and false-positive rates in most conditions, the standardized effect size provides higher true-positive rates for conditions where item response variability is smaller in proportion to raw score differences. Inflated false-positive rates were solely impacted by smaller sample sizes, whereas larger sample sizes improved true-positive rates. An empirical application is provided to demonstrate how the standardized effect size provides for a more consistent comparison across items with varying response distributions. This study lays the foundation for the utilization of a standardized effect size for both dichotomous and polytomous item response models using the suite of SIBTEST procedures.
650			_a DIF| differential item functioning| SIBTEST| standardized effect size
700			_aTurner, Ronna C. | Ames, Allison | Liang, Xinya | Crawford, Brandon
856			_uhttps://doi.org/10.1080/00220973.2022.2141176
942			_cPER
999			_c45749 _d45748