A standardized effect size for the SIBTEST/POLYSIBTEST procedure is proposed, allowing for Differential Item Functioning (DIF) to be classified with a single set of DIF heuristics regardless of whether data are dichotomous or polytomous. This proposed standardized effect size accounts for both variability in responses and whether participants are included in the SIBTEST/POLYSIBTEST calculations. First, a new set of unstandardized effect size heuristics are established for dichotomous data that are more aligned with Educational Testing Service (ETS) standards using two and three parameter logistic (2PL and 3PL) models. Second, a standardized effect size is proposed and compared to other DIF heuristics with SIBTEST in a variety of data condit...
Unidimensionality is one of the most important assumptions required by much of the currently used it...
Current studies of differential item functioning (DIF) look at look at how groups differ in respondi...
Previous methodological and applied studies that used binary logistic regres-sion (LR) for detection...
Use of polytomously scored items in educational tests is becoming increasingly common with new types...
The purpose of this simulation study was to establish general effect size guidelines for interpretin...
[[abstract]]Item bias is a well-known and important issue in educational testing and therefore the i...
The purpose of this simulation study was to establish general effect size guidelines for interpretin...
Differential item functioning (DIF) refers to a difference in the way a test item functions for comp...
Differential item functioning (DIF) refers to a difference in the way a test item functions for comp...
Three types of effects sizes for DIF are described in this exposition: log of the odds-ratio (differ...
Several recent studies have investigated the application of statistical inference procedures to the ...
Students with Learning Disabilities face numerous challenges in learning and in demonstrating their ...
Students with Learning Disabilities face numerous challenges in learning and in demonstrating their ...
Conventional two-group differential item functioning (DIF) analysis for dichotomous items is extende...
In the field of education, decisions are influenced by the results of various high stakes measures. ...
Unidimensionality is one of the most important assumptions required by much of the currently used it...
Current studies of differential item functioning (DIF) look at look at how groups differ in respondi...
Previous methodological and applied studies that used binary logistic regres-sion (LR) for detection...
Use of polytomously scored items in educational tests is becoming increasingly common with new types...
The purpose of this simulation study was to establish general effect size guidelines for interpretin...
[[abstract]]Item bias is a well-known and important issue in educational testing and therefore the i...
The purpose of this simulation study was to establish general effect size guidelines for interpretin...
Differential item functioning (DIF) refers to a difference in the way a test item functions for comp...
Differential item functioning (DIF) refers to a difference in the way a test item functions for comp...
Three types of effects sizes for DIF are described in this exposition: log of the odds-ratio (differ...
Several recent studies have investigated the application of statistical inference procedures to the ...
Students with Learning Disabilities face numerous challenges in learning and in demonstrating their ...
Students with Learning Disabilities face numerous challenges in learning and in demonstrating their ...
Conventional two-group differential item functioning (DIF) analysis for dichotomous items is extende...
In the field of education, decisions are influenced by the results of various high stakes measures. ...
Unidimensionality is one of the most important assumptions required by much of the currently used it...
Current studies of differential item functioning (DIF) look at look at how groups differ in respondi...
Previous methodological and applied studies that used binary logistic regres-sion (LR) for detection...