A Comparative Analysis of PISA 2015 Türkiye Studies: Introducing A Variable Selection Model to International Large-Scale Assessments
International large-scale assessments have a key role in improving educational, economical, and political systems. By using the data of these assessments, countries can draw conclusions about the status of educational systems. Studies and reports generally tend to choose variables available in data...
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Van Yüzüncü Yıl Üniversitesi
2024-12-01
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| Series: | Van Yüzüncü Yıl Üniversitesi Eğitim Fakültesi Dergisi |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/4171234 |
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| author | Özlem İlk Sinem Demirci |
| author_facet | Özlem İlk Sinem Demirci |
| author_sort | Özlem İlk |
| collection | DOAJ |
| description | International large-scale assessments have a key role in improving educational, economical, and political systems. By using the data of these assessments, countries can draw conclusions about the status of educational systems. Studies and reports generally tend to choose variables available in data set to model the relationships among the variables. In this study, we aimed to introduce a variable selection method to analyze large-scale assessments to be able to decide which variables might be included in modelling country data. We used the entire data set of Türkiye PISA 2015 through elastic net regression to decide which variables should be selected for further analysis. We also provided a summary of the available studies based on Türkiye PISA 2015 data and compared the results. Based on the series of analyses, this study revealed that test anxiety, environmental awareness, interest in broad topics in science, playing video games after school, mathematics literacy, reading literacy, and collaborative problem-solving skills were the explanatory variables contributed most to the degree of scientific literacy of students. This study has a potential to provide an example of shrinkage methods applied in educational context and offer another standpoint for providing a rationale to select which variables can be included. |
| format | Article |
| id | doaj-art-b4fb49078f9d4968af8d670e9a850a46 |
| institution | Kabale University |
| issn | 1305-2020 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Van Yüzüncü Yıl Üniversitesi |
| record_format | Article |
| series | Van Yüzüncü Yıl Üniversitesi Eğitim Fakültesi Dergisi |
| spelling | doaj-art-b4fb49078f9d4968af8d670e9a850a462025-08-20T03:49:12ZengVan Yüzüncü Yıl ÜniversitesiVan Yüzüncü Yıl Üniversitesi Eğitim Fakültesi Dergisi1305-20202024-12-0121384086810.33711/yyuefd.15390721655A Comparative Analysis of PISA 2015 Türkiye Studies: Introducing A Variable Selection Model to International Large-Scale AssessmentsÖzlem İlk0https://orcid.org/0000-0002-4179-0534Sinem Demirci1https://orcid.org/0000-0002-2095-0674ORTA DOĞU TEKNİK ÜNİVERSİTESİCalifornia Polytechnic State UniversityInternational large-scale assessments have a key role in improving educational, economical, and political systems. By using the data of these assessments, countries can draw conclusions about the status of educational systems. Studies and reports generally tend to choose variables available in data set to model the relationships among the variables. In this study, we aimed to introduce a variable selection method to analyze large-scale assessments to be able to decide which variables might be included in modelling country data. We used the entire data set of Türkiye PISA 2015 through elastic net regression to decide which variables should be selected for further analysis. We also provided a summary of the available studies based on Türkiye PISA 2015 data and compared the results. Based on the series of analyses, this study revealed that test anxiety, environmental awareness, interest in broad topics in science, playing video games after school, mathematics literacy, reading literacy, and collaborative problem-solving skills were the explanatory variables contributed most to the degree of scientific literacy of students. This study has a potential to provide an example of shrinkage methods applied in educational context and offer another standpoint for providing a rationale to select which variables can be included.https://dergipark.org.tr/tr/download/article-file/4171234pisa 2015scientific literacyelastic net regressionshrinkage methodspisa 2015bilimsel okuryazarlıkelastik net regresyonubüzüşme tahminleyicisi |
| spellingShingle | Özlem İlk Sinem Demirci A Comparative Analysis of PISA 2015 Türkiye Studies: Introducing A Variable Selection Model to International Large-Scale Assessments Van Yüzüncü Yıl Üniversitesi Eğitim Fakültesi Dergisi pisa 2015 scientific literacy elastic net regression shrinkage methods pisa 2015 bilimsel okuryazarlık elastik net regresyonu büzüşme tahminleyicisi |
| title | A Comparative Analysis of PISA 2015 Türkiye Studies: Introducing A Variable Selection Model to International Large-Scale Assessments |
| title_full | A Comparative Analysis of PISA 2015 Türkiye Studies: Introducing A Variable Selection Model to International Large-Scale Assessments |
| title_fullStr | A Comparative Analysis of PISA 2015 Türkiye Studies: Introducing A Variable Selection Model to International Large-Scale Assessments |
| title_full_unstemmed | A Comparative Analysis of PISA 2015 Türkiye Studies: Introducing A Variable Selection Model to International Large-Scale Assessments |
| title_short | A Comparative Analysis of PISA 2015 Türkiye Studies: Introducing A Variable Selection Model to International Large-Scale Assessments |
| title_sort | comparative analysis of pisa 2015 turkiye studies introducing a variable selection model to international large scale assessments |
| topic | pisa 2015 scientific literacy elastic net regression shrinkage methods pisa 2015 bilimsel okuryazarlık elastik net regresyonu büzüşme tahminleyicisi |
| url | https://dergipark.org.tr/tr/download/article-file/4171234 |
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