TY  - JOUR
T1  - Transferring Raw Data for Rasch Model Analysis
AU - Lohgheswary, N. AU - Salmaliza, S. AU - Othman, H. 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 21
SP  - 7846
EP  - 7852
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.7846.7852
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.7846.7852
KW  - Data processing
KW  -Rasch Model
KW  -Excel
KW  -WINSTEPS
KW  -exam questions
KW  -assessment method
AB  - Assessing students through final exam questions is a common assessment method at tertiary level.
The overall grade will classify the students into categories. Yet, this overall grade does not show how the
student answered the exam questions. The Rasch Model can show the ability of each student answering the
exam questions. It also gives information on which is the most difficult and the easiest question in an
examination. This study illustrates the steps of the exam marks that are processed in the Rasch Model. This
begins by entering raw exam marks in the Excel worksheet. Then, the marks will be normalized and changed to
the Likert scale. Then the data is saved as formatted text. Lastly, it will run in WINSTEPS. Summary statistics
for person, summary statistics for item, fit statistics, item dimensionality and person-item distribution map are
among of the Rasch Model output that can be obtain from WINSTEPS. These outputs show the performance
of the students and the difficulty of the exam questions. The Rasch output can also identify a misfit examination
question. This means the question is extremely hard for the students to answer. This study will be helpful to
a new user to use Rasch Model because it will help him or her to analyze any data, especially, examination
questions.
ER  -