Comparison Study of Two DIF Detection Methods in Multidimensional Rasch Model

2008 ◽  
Author(s):  
Hung-Yu Huang ◽  
Sunny S. J. Lin
2020 ◽  
Vol 89 (1) ◽  
pp. 89-96
Author(s):  
Jozef Golian ◽  
Lucia Benešov‡á ◽  
Zuzana Drdolov‡á ◽  
Patr’ícia Martišov‡á ◽  
Boris Semjon ◽  
...  

The aim of the study was to compare the efficiency, sensitivity and reliability of the MEAT 5.0 LCD-Array and innuDETECT Assay detection kits in identifying selected animal species. Samples were taken from the femoral muscles of six animal species (turkey, chicken, cattle, pig, sheep and goat), and six variants of binary meat mixtures were analysed at 18 different concentration levels of addition. The MEAT 5.0 LCD-Array test was able to detect 0.1% of other meat additions in two meat mixtures and 0.5% in four meat mixtures. The innuDETECT Assays were able to detect the addition of 0.1% of other meat in three meat mixtures, 0.5% in two mixtures and 1% in one meat mixture. Subsequently, these methods were applied in practice to 136 samples of various products taken from commercial food networks. By performing extensive monitoring, we identified 60 products in which one to three species were detected besides what was present on the product label. Nine products were contaminated with pig DNA. Two products that the MEAT 5.0 LCD-Array kit identified as positive for the presence of pig DNA were not confirmed by the innuDETECT Pork Assay kit. We recommend these methods of analysis to comprehensively monitor the presence of animal species in food samples, regardless of the degree of heat treatment or mechanical processing, as a tool to detect food adulteration.


2013 ◽  
Vol 16 (5) ◽  
pp. 848-854 ◽  
Author(s):  
Ching-Lin Shih ◽  
Chien-Hung Chen ◽  
Ching-Fan Sheu ◽  
Hui-Chu Lang ◽  
Ching-Lin Hsieh

2017 ◽  
Vol 2 (1) ◽  
pp. 18
Author(s):  
IDRUS ALWI

The aims of this research is to study the sensitivity comparison of Mantel Haenszel and Rasch Model for detection differential item functioning, observed from the sample size. These two differential item functioning (DIF) methods were compared using simulate binary item respon data sets of varying sample size,  200 and 400 examinees were used in the analyses, a detection method of differential item functioning (DIF) based on gender difference. These test conditions were replication 4 times. For both differential item functioning (DIF) detection methods, a test length of 42 items was sufficient for satisfactory differential item functioning (DIF) detection with detection rate increasing as sample size increased. Finding the study revealed that the empirical result show Rasch Model are more sensitive to detection differential item functioning (DIF) than Mantel Haenszel. With reference to findings of this study, it is recomended that the use of Rasch Model in evaluation activities with multiple choice test. For this purpose, it is necessary for every school to have some teachers who are skillfull in analyzing results of test using modern methods (Item Response Theory).


2021 ◽  
Author(s):  
Ankita Dey

A novel technique of detecting DIF in items using z-score based on IRT model. A simple technique based on z-score is proposed and derived for Rasch Model and also compared with traditional DIF detection methods. The data set used for application is the State Level Achievement Survey data set from West Bengal, India. Binary responses on 40-item tests of 12518 examinees are taken.


2017 ◽  
Vol 10 (26) ◽  
pp. 233-252
Author(s):  
Purya Baghaei

Introduction. Accountability and diagnostic assessments usually comprise several subtests to provide information on the different components of the abilities tested. For practicality reasons such subtests are usually short. The major drawback of short subtests is their low reliability and imprecision. This study shows how a compensatory multidimensional Rasch model, namely, Multidimensional Random Coefficient Multinomial Logit Model (MRCMLM), can utilize the correlations among subtests to improve estimation and the reliability of measures.Method. The sample was composed of 1021 Iranian high school students. An English language comprehension test composed of four 10-item subtests was adminstretd to the participants. The data were analysed with both MRCMLM and unidimensional Rasch model.Results. Findings showed that subtests that contain only ten items can have the reliability of 45-item tests when students’ abilities are estimated with the MRCMLM. It is also demonstrated that multidimensional analysis gives a better estimate of the true correlations among subtests and can be used as a confirmatory approach to study the componential structure of proficiency constructs.Conclusions. Multidimensional Rasch model can improve the reliability of short subtests. The model can also be used as a confirmatory approach to study the componential structure of proficiency constructs and to show the true association among dimensions of profificency.


2021 ◽  
Author(s):  
Ankita Dey

A novel technique of detecting DIF in items using z-score based on IRT model. A simple technique based on z-score is proposed and derived for Rasch Model and also compared with traditional DIF detection methods. The data set used for application is the State Level Achievement Survey data set from West Bengal, India. Binary responses on 40-item tests of 12518 examinees are taken.


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