Assessing statistical reasoning in descriptive statistics: a qualitative meta-analysis

To date, there are abundant studies on statistical reasoning in descriptive statistics and inferential statistics. Nevertheless, the types of statistical reasoning assessments used in those studies are different from each other. Hence, this qualitative meta-analysis is aimed to explore the methods u...

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Main Authors: Shiau, Wei Chan, Ismail, Zaleha, Sumintono, Bambang
Format: Article
Published: PENERBIT UTM PRESS 2016
Subjects:
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author Shiau, Wei Chan
Ismail, Zaleha
Sumintono, Bambang
author_facet Shiau, Wei Chan
Ismail, Zaleha
Sumintono, Bambang
author_sort Shiau, Wei Chan
collection UTHM
description To date, there are abundant studies on statistical reasoning in descriptive statistics and inferential statistics. Nevertheless, the types of statistical reasoning assessments used in those studies are different from each other. Hence, this qualitative meta-analysis is aimed to explore the methods utilized in assessing statistical reasoning among students from all levels in descriptive statistics. A total of 36 studies on reasoning about measures of central tendency, variability and distribution were found and reviewed in this paper. It was noticed that six major types of methods were employed to assess students’ statistical reasoning in descriptive statistics, namely interview, survey or questionnaire, tasks, tests, minute paper, and teaching. This study contributes considerably to the statistical reasoning area as it provides new information on statistical reasoning in descriptive statistics. For future studies, some recommendations are proposed to improve statistical reasoning assessments.
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spelling uthm.eprints-44212021-12-05T07:57:42Z http://eprints.uthm.edu.my/4421/ Assessing statistical reasoning in descriptive statistics: a qualitative meta-analysis Shiau, Wei Chan Ismail, Zaleha Sumintono, Bambang HA36-37 Statistical services. Statistical bureaus QA299.6-433 Analysis To date, there are abundant studies on statistical reasoning in descriptive statistics and inferential statistics. Nevertheless, the types of statistical reasoning assessments used in those studies are different from each other. Hence, this qualitative meta-analysis is aimed to explore the methods utilized in assessing statistical reasoning among students from all levels in descriptive statistics. A total of 36 studies on reasoning about measures of central tendency, variability and distribution were found and reviewed in this paper. It was noticed that six major types of methods were employed to assess students’ statistical reasoning in descriptive statistics, namely interview, survey or questionnaire, tasks, tests, minute paper, and teaching. This study contributes considerably to the statistical reasoning area as it provides new information on statistical reasoning in descriptive statistics. For future studies, some recommendations are proposed to improve statistical reasoning assessments. PENERBIT UTM PRESS 2016 Article PeerReviewed Shiau, Wei Chan and Ismail, Zaleha and Sumintono, Bambang (2016) Assessing statistical reasoning in descriptive statistics: a qualitative meta-analysis. Jurnal Teknologi (Sciences & Engineering), 78 (65). pp. 29-35. ISSN 2180–3722 https://doi.org/10.11113/jt.v78.8995
spellingShingle HA36-37 Statistical services. Statistical bureaus
QA299.6-433 Analysis
Shiau, Wei Chan
Ismail, Zaleha
Sumintono, Bambang
Assessing statistical reasoning in descriptive statistics: a qualitative meta-analysis
title Assessing statistical reasoning in descriptive statistics: a qualitative meta-analysis
title_full Assessing statistical reasoning in descriptive statistics: a qualitative meta-analysis
title_fullStr Assessing statistical reasoning in descriptive statistics: a qualitative meta-analysis
title_full_unstemmed Assessing statistical reasoning in descriptive statistics: a qualitative meta-analysis
title_short Assessing statistical reasoning in descriptive statistics: a qualitative meta-analysis
title_sort assessing statistical reasoning in descriptive statistics a qualitative meta analysis
topic HA36-37 Statistical services. Statistical bureaus
QA299.6-433 Analysis
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AT ismailzaleha assessingstatisticalreasoningindescriptivestatisticsaqualitativemetaanalysis
AT sumintonobambang assessingstatisticalreasoningindescriptivestatisticsaqualitativemetaanalysis