Prospective elementary and secondary school mathematics teachers’ statistical reasoning

This study investigated prospective elementary (PEMTs) and secondary (PSMTs) school mathematics teachers’ statistical reasoning. The study began with the adaptation of the Statistical Reasoning Assessment (Garfield, 2003) test. Then, the test was administered to 82 PEMTs and 91 PSMTs in a metropolit...

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Main Authors: Rabia Karatoprak, Gülseren Karagöz Akar, Bengü Börkan
Format: Article
Language:English
Published: Kura Publishing 2015-03-01
Series:International Electronic Journal of Elementary Education
Subjects:
SRA
Online Access:https://iejee.com/index.php/IEJEE/article/view/69/67
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spelling doaj-89be2f964dfe4e0da7a6ca28383dd5ee2020-11-25T03:48:13ZengKura PublishingInternational Electronic Journal of Elementary Education1307-92981307-92982015-03-0172107124Prospective elementary and secondary school mathematics teachers’ statistical reasoningRabia Karatoprak0Gülseren Karagöz Akar1Bengü Börkan2University of IowaBoğaziçi UniversityBoğaziçi UniversityThis study investigated prospective elementary (PEMTs) and secondary (PSMTs) school mathematics teachers’ statistical reasoning. The study began with the adaptation of the Statistical Reasoning Assessment (Garfield, 2003) test. Then, the test was administered to 82 PEMTs and 91 PSMTs in a metropolitan city of Turkey. Results showed that both groups were equally successful in understanding independence, and understanding importance of large samples. However, results from selecting appropriate measures of center together with the misconceptions assessing the same subscales showed that both groups selected mode rather than mean as an appropriate average. This suggested their lack of attention to the categorical and interval/ratio variables while examining data. Similarly, both groups were successful in interpreting and computing probability; however, they had equiprobability bias, law of small numbers and representativeness misconceptions. The results imply a change in some questions in the Statistical Reasoning Assessment test and that teacher training programs should include statistics courses focusing on studying characteristics of samples.https://iejee.com/index.php/IEJEE/article/view/69/67Statistical reasoningProspective teachersStatistics educationSRA
collection DOAJ
language English
format Article
sources DOAJ
author Rabia Karatoprak
Gülseren Karagöz Akar
Bengü Börkan
spellingShingle Rabia Karatoprak
Gülseren Karagöz Akar
Bengü Börkan
Prospective elementary and secondary school mathematics teachers’ statistical reasoning
International Electronic Journal of Elementary Education
Statistical reasoning
Prospective teachers
Statistics education
SRA
author_facet Rabia Karatoprak
Gülseren Karagöz Akar
Bengü Börkan
author_sort Rabia Karatoprak
title Prospective elementary and secondary school mathematics teachers’ statistical reasoning
title_short Prospective elementary and secondary school mathematics teachers’ statistical reasoning
title_full Prospective elementary and secondary school mathematics teachers’ statistical reasoning
title_fullStr Prospective elementary and secondary school mathematics teachers’ statistical reasoning
title_full_unstemmed Prospective elementary and secondary school mathematics teachers’ statistical reasoning
title_sort prospective elementary and secondary school mathematics teachers’ statistical reasoning
publisher Kura Publishing
series International Electronic Journal of Elementary Education
issn 1307-9298
1307-9298
publishDate 2015-03-01
description This study investigated prospective elementary (PEMTs) and secondary (PSMTs) school mathematics teachers’ statistical reasoning. The study began with the adaptation of the Statistical Reasoning Assessment (Garfield, 2003) test. Then, the test was administered to 82 PEMTs and 91 PSMTs in a metropolitan city of Turkey. Results showed that both groups were equally successful in understanding independence, and understanding importance of large samples. However, results from selecting appropriate measures of center together with the misconceptions assessing the same subscales showed that both groups selected mode rather than mean as an appropriate average. This suggested their lack of attention to the categorical and interval/ratio variables while examining data. Similarly, both groups were successful in interpreting and computing probability; however, they had equiprobability bias, law of small numbers and representativeness misconceptions. The results imply a change in some questions in the Statistical Reasoning Assessment test and that teacher training programs should include statistics courses focusing on studying characteristics of samples.
topic Statistical reasoning
Prospective teachers
Statistics education
SRA
url https://iejee.com/index.php/IEJEE/article/view/69/67
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