Item Analysis Using Rasch Model in Semester Final Exam Evaluation Study Subject in Physics Class X TKJ SMK 2 Manokwari

2018 ◽  
Vol 1 (1) ◽  
pp. 43
Author(s):  
Jefri Palimbong ◽  
M Mujasam ◽  
Alberto Yonathan Tangke Allo
2019 ◽  
Vol 1 (1) ◽  
pp. 43-51
Author(s):  
Jefri Palimbong ◽  
Mujasam Mujasam ◽  
Alberto Yonathan Tangke Allo

The purpose of this research is to item analyze in semester final exam evaluation using Raschmodel in terms of validity, reliability, and difficulty level study subject in physics class X TKJ SMK Negeri 2Manokwari. This research was a qualitative research that is evaluation of learning outcomes usingquantitative descriptive method with data collection techniques used documentation. The data of respondents44 students with the number of items 30 questions, obtained the result are the validity of the conformity levelof item 26 questions was fit and 4 questions not fit. The students reliability 0,37 is weak, the item reliability0,83 is good and the reliability between students with item 0,42 is bad. The difficult level of item general inthe medium category, the means is very good because it is not difficult and not easy. The conclusion itemanalysis using rasch model in semester final exam evaluation were valid, reliable, and the difficulty level ofitem is very good.


Author(s):  
Lusine Vaganian ◽  
Sonja Bussmann ◽  
Maren Boecker ◽  
Michael Kusch ◽  
Hildegard Labouvie ◽  
...  

Abstract Purpose The World Health Organization Disability Assessent Schedule 2.0 (WHODAS 2.0) assesses disability in individuals irrespective of their health condition. Previous studies validated the usefulness of the WHODAS 2.0 using classical test theory. This study is the first investigating the psychometric properties of the 12-items WHODAS 2.0 in patients with cancer using item analysis according to the Rasch model. Methods In total, 350 cancer patients participated in the study. Rasch analysis of the 12-items version of the WHODAS 2.0 was conducted and included testing unidimensionality, local independence, and testing for differential item functioning (DIF) with regard to age, gender, type of cancer, presence of metastases, psycho-oncological support, and duration of disease. Results After accounting for local dependence, which was mainly found across items of the same WHODAS domain, satisfactory overall fit to the Rasch model was established (χ2 = 36.14, p = 0.07) with good reliability (PSI = 0.82) and unidimensionality of the scale. DIF was found for gender (testlet ‘Life activities’) and age (testlet ‘Getting around/Self-care’), but the size of DIF was not substantial. Conclusion Overall, the analysis results according to the Rasch model support the use of the WHODAS 2.0 12-item version as a measure of disability in cancer patients.


Author(s):  
Geum-Hee Jeong ◽  
Mi Kyoung Yim

To test the applicability of item response theory (IRT) to the Korean Nurses' Licensing Examination (KNLE), item analysis was performed after testing the unidimensionality and goodness-of-fit. The results were compared with those based on classical test theory. The results of the 330-item KNLE administered to 12,024 examinees in January 2004 were analyzed. Unidimensionality was tested using DETECT and the goodness-of-fit was tested using WINSTEPS for the Rasch model and Bilog-MG for the two-parameter logistic model. Item analysis and ability estimation were done using WINSTEPS. Using DETECT, Dmax ranged from 0.1 to 0.23 for each subject. The mean square value of the infit and outfit values of all items using WINSTEPS ranged from 0.1 to 1.5, except for one item in pediatric nursing, which scored 1.53. Of the 330 items, 218 (42.7%) were misfit using the two-parameter logistic model of Bilog-MG. The correlation coefficients between the difficulty parameter using the Rasch model and the difficulty index from classical test theory ranged from 0.9039 to 0.9699. The correlation between the ability parameter using the Rasch model and the total score from classical test theory ranged from 0.9776 to 0.9984. Therefore, the results of the KNLE fit unidimensionality and goodness-of-fit for the Rasch model. The KNLE should be a good sample for analysis according to the IRT Rasch model, so further research using IRT is possible.


PLoS ONE ◽  
2020 ◽  
Vol 15 (8) ◽  
pp. e0232030
Author(s):  
Luz Dary Upegui-Arango ◽  
Thomas Forkmann ◽  
Tine Nielsen ◽  
Nina Hallensleben ◽  
Heide Glaesmer ◽  
...  

1976 ◽  
Vol 20 (1) ◽  
pp. 107-109 ◽  
Author(s):  
J. D. Thomson ◽  
B. Parkin

Item analyses of a 22-item attitude questionnaire were undertaken using both a traditional approach and the Rasch technique. These analyses, obtained from the responses of a sample of 158 Year 5 children indicated, at first glance, discrepant results. Initial inspection of the traditional item analysis suggested that, due to extremely low discrimination indices, all of the items were unsatisfactory. For the Rasch model, however, all items appeared to refer to a unidimensional trait and formed a very comformable set. Our reconciliation of these seemingly disparate results is based upon three considerations: first, whether the items do or do not measure a single trait; second, whether the interaction of the subjects with the items has resulted in a set of random responses, and third, whether there is an adequate dispersion of subjects along the scale continuum.


2010 ◽  
Vol 104 (6) ◽  
pp. 717-722 ◽  
Author(s):  
K.-Y. Chang ◽  
M.-Y. Tsou ◽  
K.-H. Chan ◽  
S.-H. Chang ◽  
J.J. Tai ◽  
...  

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