Applying Rasch Model to Measure Students` Reading Comprehension

Abstract

There have been studies suggesting that students' reading comprehension in English subject is influenced by the accuracy of teaching strategy use. The use of appropriate teaching strategies is required to accommodate the diversity of students' abilities. Therefore, measurements are needed to provide actual information about students' abilities. This study aims to examine the levels of students' reading comprehension by using RASCH model. The subjects of this study were8th grade students, totaling 200 responses on the teacher's reading comprehension test with five alternative responses. The data analysis used was the Rasch 1 parameter model consisting of person reliability, item-person distribution maps, and item-person suitability. The findings of this study indicated that the average reading comprehension ability of students was included in the high category with a value (Meanperson) of 1.29 logits above the average level of difficulty of the test items (Meanitem) of 0. Further research is expected to be conducted to prove whether the addition of test items affect the value of person reliability.

Application of the Rasch Model on the Test Instrument to Analyze the Problem-Solving Ability of Students in Acid-Base Solutions Materials

“…pemodelan Rasch reliabilitas ditunjukkan dengan nilai reliabilitas individu dan butir serta nilai alpha Cronbach sebagai reliabilitas keseluruhan (Pratama & Husnayaini, 2020;Shuib et al, 2020) Tabel 3 menunjukkan indeks reliabilitas dan indeks pemisahan orang-butir. Tabel menunjukkan nilai reliabilitas orang sebesar 0,78 hal ini menunjukkan bahwa sampel yang terlibat dalam penelitian ini cukup dapat diandalkan.…”

Analysis of Rasch Model for the Validation of Chemistry National Exam Instruments

“…Previous research using the Rasch model as a computer program in testing measuring instruments has been carried out, including in the measurement of test instrument questions by Ibrahim, et al, 2015;Mahmud, et al, 2017;Wati, et al, 2019;Sihombing, et al, 2019;Isnani, et al, 2019;Samritin, et al, 2019;Saidi & Siew, 2019;Pratama & Husnayaini, 2020;Darmana & Sutiani, 2020. Rasch model can produce standard error measurement values that can improve calculation accuracy (Afrassa, 2005;Ardiyanti, 2016).…”