THE USE OF RASCH MEASUREMENT MODEL IN ENGLISH TESTING

Clicks: 336
ID: 15038
2019
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
This study aimed at determining the quality of the English Paper 1 (EP1) items of UPSR trial examination for six graders in terms of its reliability, validity and items characteristics. It also sought to determine the difficulty levels of 40 multiple-choice items consisting five constructs of vocabulary, language and social expression, grammar, cloze-comprehension and reading comprehension. A number of 525 primary schools students were randomly selected from 3876 students in Kuala Selangor, Malaysia. Using the Rasch measurement model, the validity evidences were shown through the results of Principle Component Analysis (PCA), fit statistics and item distractor analysis. The results from PCA analysis showed the absence of second dimension in the test, which met the assumption of modern testing theory. Fit statistics analyses have identified seven misfit items that are beyond the acceptable range (0.7 - 1.3 logit). Item distractor analysis has identified five problematic items whereby three of them are also misfit items. Summary statistics shows that the reliability indices of Cronbach’s Alpha were greater than 0.80 and separation indices were greater than 2. This study would benefit teachers in improving existing assessment practice by spreading out the importance of item analysis in schools, particularly in language testing.
Reference Key
mokshein2019thecakrawala Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Mokshein, Siti Eshah;Ishak, Haliza;Ahmad, Hishamuddin;
Journal cakrawala pendidikan: jurnal ilmiah pendidikan
Year 2019
DOI
DOI not found
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.