Saras Krishnan
INTI International University

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Using Partial Credit Model to Improve the Quality of an Instrument Saras Krishnan; Noraini Idris
International Journal of Evaluation and Research in Education (IJERE) Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (232.828 KB) | DOI: 10.11591/ijere.v7i4.15146

Abstract

In using the Rasch model to improve the quality of an instrument, analysis purports to determine if the sample collaborates well with the items in the instrument such that the results are measuring a single underlying variable. The relevant properties of Rasch analysis are reliability and validity which are key indicators of the quality of a measurement instrument. This paper discusses the use of one type of Rasch model that is the Partial Credit Model to investigate reliability and validity of an instrument. By removing or changing items in the instrument when conditions of reliability and validity are not met, the quality of the instrument is improved.
Investigating SATS-36 for a Matriculation Sample Saras Krishnan; Noraini Idris
International Journal of Evaluation and Research in Education (IJERE) Vol 4, No 2: June 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (52.662 KB) | DOI: 10.11591/ijere.v4i2.4496

Abstract

Students’ attitudes towards statistics have been more often negative due to many factors such as initial perception of the subject, low ability in mathematics and lack of motivation to study statistics. Studies involving SATS-36 included investigation of the different factors in relation to students’ attitude towards statistics. Other studies have investigated the structure of SATS-36 and the relationship between the different components of SATS-36. The research investigated the reliability and validity of SATS-36 for a sample of matriculation students. Results showed that while reliability and validity is maintained for the instrument, it is not the case for the sample of respondents.