The impact of statistical reasoning learning environment: A rasch analysis
Generally, statistics is taught using the traditional method that only promotes students’ procedural knowledge instead of conceptual knowledge. Therefore, a model called Statistical Reasoning Learning Environment (SRLE) was utilized in this study to develop students’ statistical reasoning ability. T...
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my.utm.589542021-12-14T05:00:56Z http://eprints.utm.my/id/eprint/58954/ The impact of statistical reasoning learning environment: A rasch analysis Chan, Shiau Wei Ismail, Zaleha Sumintono, Bambang H Social Sciences (General) Generally, statistics is taught using the traditional method that only promotes students’ procedural knowledge instead of conceptual knowledge. Therefore, a model called Statistical Reasoning Learning Environment (SRLE) was utilized in this study to develop students’ statistical reasoning ability. The effectiveness of this model was measured using the Rasch measurement model. In this study, 67 tenth-grade students participated in the quasiexperiment, where 35 students were assigned as the experimental group and 32 were assigned as the control group. The experimental group was treated with the SRLE instruction, while the control group received no treatment. Pre-test and post-test were given to both groups before and after the treatment. Then, the data were analyzed, including the validity and the reliability of the test, person and item reliability, separation, and person-item map. The findings revealed that the statistical reasoning of the experimental group was better than the control group. The SRLE instruction could be applied for future investigations, owing to its great impact on students’ statistical reasoning. American Scientific Publishers 2015 Article PeerReviewed Chan, Shiau Wei and Ismail, Zaleha and Sumintono, Bambang (2015) The impact of statistical reasoning learning environment: A rasch analysis. Advanced Science Letters, 21 (5). pp. 1211-1215. ISSN 1936-6612 http://dx.doi.org/10.1166/asl.2015.6077 DOI:10.1166/asl.2015.6077 |
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H Social Sciences (General) Chan, Shiau Wei Ismail, Zaleha Sumintono, Bambang The impact of statistical reasoning learning environment: A rasch analysis |
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Generally, statistics is taught using the traditional method that only promotes students’ procedural knowledge instead of conceptual knowledge. Therefore, a model called Statistical Reasoning Learning Environment (SRLE) was utilized in this study to develop students’ statistical reasoning ability. The effectiveness of this model was measured using the Rasch measurement model. In this study, 67 tenth-grade students participated in the quasiexperiment, where 35 students were assigned as the experimental group and 32 were assigned as the control group. The experimental group was treated with the SRLE instruction, while the control group received no treatment. Pre-test and post-test were given to both groups before and after the treatment. Then, the data were analyzed, including the validity and the reliability of the test, person and item reliability, separation, and person-item map. The findings revealed that the statistical reasoning of the experimental group was better than the control group. The SRLE instruction could be applied for future investigations, owing to its great impact on students’ statistical reasoning. |
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Article |
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Chan, Shiau Wei Ismail, Zaleha Sumintono, Bambang |
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Chan, Shiau Wei Ismail, Zaleha Sumintono, Bambang |
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Chan, Shiau Wei |
title |
The impact of statistical reasoning learning environment: A rasch analysis |
title_short |
The impact of statistical reasoning learning environment: A rasch analysis |
title_full |
The impact of statistical reasoning learning environment: A rasch analysis |
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The impact of statistical reasoning learning environment: A rasch analysis |
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The impact of statistical reasoning learning environment: A rasch analysis |
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impact of statistical reasoning learning environment: a rasch analysis |
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American Scientific Publishers |
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2015 |
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http://eprints.utm.my/id/eprint/58954/ http://dx.doi.org/10.1166/asl.2015.6077 |
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