Reliability and Validity Analysis of Statistical Reasoning Test Survey Instrument using the Rasch Measurement Model
Siti Shahirah Saidi 1, Nyet Moi Siew 1 *
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1 Faculty of Psychology and Education, Universiti Malaysia Sabah, Sabah, MALAYSIA* Corresponding Author

Abstract

This study is an assessment of the reliability and validity analysis of Statistical Reasoning Test Survey (SRTS) instrument using the Rasch Measurement Model. The SRTS instrument was developed by the researchers to assess students’ statistical reasoning in descriptive statistics among Tenth Grade science- stream students in rural schools. SRTS was a combination of a subjective test and an open-ended format questionnaire which contained of 12 items. The respondents’ statistical reasoning was assessed based on these four constructs: Describing Data, Organizing Data, Representing Data and Analyzing and Interpreting Data. The sample comprised of 115 (76%) girls and 36 (24%) boys aged 15-16 years old from a rural district in Sabah, Malaysia. Overall, the SRTS instrument was found to have a high reliability with a Cronbach’s alpha value (KR-20) of 0.81. Results also showed that SRTS has an excellent item reliability and high item separation value of 0.99 and 9.57 respectively. SRTS also has a good person reliability and person separation value of 0.81 and 2.04 respectively. Meanwhile, the validity of the SRTS instrument was appropriately established through the item fit, person fit, variable map, and unidimensionality. In conclusion, this study indicates that the SRTS is a reliable and valid instrument for measuring the statistical reasoning of science-stream students from rural secondary schools.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

INT ELECT J MATH ED, 2019, Volume 14, Issue 3, 535-546

https://doi.org/10.29333/iejme/5755

Publication date: 29 Apr 2019

Article Views: 2960

Article Downloads: 1612

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