Mathematics low achievement in Greece: A multilevel analysis of the Programme for International Student Assessment (PISA) 2012 data.

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Title: Mathematics low achievement in Greece: A multilevel analysis of the Programme for International Student Assessment (PISA) 2012 data.
Authors: Karakolidis, Anastasios1 anastasis.karak@gmail.com, Pitsia, Vasiliki1 pitsiavasiliki@gmail.com, Emvalotis, Anastassios1 aemvalot@uoi.gr
Source: Themes in Science & Technology Education. 2016, Vol. 9 Issue 1, p3-24. 22p.
Subject Terms: *Mathematics education, *Academic achievement, Multilevel models, Social status
Geographic Terms: Greece
Abstract: The main aim of the present study was to carry out an in-depth examination of mathematics underperformance in Greece. By applying a binary multilevel model to the PISA 2012 data, this study investigated the factors which were linked to low achievement in mathematics. The multilevel analysis revealed that students' gender, immigration status, self-constructs about mathematics, pre-primary education attendance as well as individual and school mean socioeconomic status (SES) were statistically significant predictors of student low achievement. It was also found that school accounted for a large proportion of the differences between low achievers and non-low achievers, with the final model explaining a great part of these differences. By successfully addressing the research questions, this study has demonstrated evidence that could help educators and policy makers to tackle the massive problem of mathematics underperformance not only in Greece, but also in other countries with similar educational systems. [ABSTRACT FROM AUTHOR]
Copyright of Themes in Science & Technology Education is the property of Themes in Science & Technology Education and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Mathematics low achievement in Greece: A multilevel analysis of the Programme for International Student Assessment (PISA) 2012 data.
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  Data: <searchLink fieldCode="AR" term="%22Karakolidis%2C+Anastasios%22">Karakolidis, Anastasios</searchLink><relatesTo>1</relatesTo><i> anastasis.karak@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Pitsia%2C+Vasiliki%22">Pitsia, Vasiliki</searchLink><relatesTo>1</relatesTo><i> pitsiavasiliki@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Emvalotis%2C+Anastassios%22">Emvalotis, Anastassios</searchLink><relatesTo>1</relatesTo><i> aemvalot@uoi.gr</i>
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  Data: <searchLink fieldCode="JN" term="%22Themes+in+Science+%26+Technology+Education%22">Themes in Science & Technology Education</searchLink>. 2016, Vol. 9 Issue 1, p3-24. 22p.
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  Data: *<searchLink fieldCode="DE" term="%22Mathematics+education%22">Mathematics education</searchLink><br />*<searchLink fieldCode="DE" term="%22Academic+achievement%22">Academic achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Multilevel+models%22">Multilevel models</searchLink><br /><searchLink fieldCode="DE" term="%22Social+status%22">Social status</searchLink>
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  Data: The main aim of the present study was to carry out an in-depth examination of mathematics underperformance in Greece. By applying a binary multilevel model to the PISA 2012 data, this study investigated the factors which were linked to low achievement in mathematics. The multilevel analysis revealed that students' gender, immigration status, self-constructs about mathematics, pre-primary education attendance as well as individual and school mean socioeconomic status (SES) were statistically significant predictors of student low achievement. It was also found that school accounted for a large proportion of the differences between low achievers and non-low achievers, with the final model explaining a great part of these differences. By successfully addressing the research questions, this study has demonstrated evidence that could help educators and policy makers to tackle the massive problem of mathematics underperformance not only in Greece, but also in other countries with similar educational systems. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Themes in Science & Technology Education is the property of Themes in Science & Technology Education and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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