The purpose of this study is to examine the effect of missing data imputation methods, namely regression imputation (RI), multiple imputation (MI) and k-nearest neighbor (kNN) on differential item functioning (DIF). In this regard, the datasets used in the research were created by deleting some of the data via the missing completely at random…

The research aims to determine the factors affecting PISA 2018 reading skills using the Random Forest and MARS methods and to compare their prediction abilities. This study used the information from 5713 students, 2838 (49.7%) male and 2875 (50.3%) female, in the PISA 2018 Turkey. The analysis shows the MARS method performed better than the Random…

The purpose of the study was to investigate how student and teacher-related non-cognitive variables were important factors in the reading performances of Turkish students in PISA 2018. The results of the HLM analysis revealed that economic, social, and cultural status (ESCS) as a background variable was considered an effective predictor of student…

This research aims to examine the predictive relationship between the economic, social and cultural level index (ESCS) and academic achievement in the context of PISA 2018 Turkey sample. Research used secondary data analysis, a quantitative research method. In this regard, advanced analyzes were carried out in line with the new and different…

Considering the large volume of PISA data, it is expected that data mining will often be assisted in making PISA data more meaningful. Studies show that different dimensions of ICT may reveal different relationships for mathematics achievement. The purpose of this article is to evaluate the success of the decision tree classification algorithms in…

The purpose of this study is to identify to what extent that the reading comprehension, question types, attitude toward science, test method, and subject matter knowledge predict the PISA scientific literacy scores of the students. The study uses the method of correlational research, which is a type of quantitative research method. We reached out…

The purpose of the current study was to investigate both studentlevel and school-level factors influencing reading literacy of students in Turkey by using PISA 2018 data. The study focused on reading literacy since the main subject of PISA 2018 was selected as reading literacy. The design of the study is a correlational research examining the…

Reading comprehension has a critical importance for almost every aspect of individuals' life. The aim of this study is to reveal the relations among students' perceptions of their Turkish language teachers' behaviours that encourage reading engagement, levels of reading enjoyment, reading self-efficacy, and reading success within the frame of a…

The purpose of this study is to predict the mathematical literacy levels of the students participating in the research through the data obtained from PISA 2015 exam organized by OECD using data mining and to determine the variables that affect mathematics literacy. For this purpose, students' mathematics literacy levels and the variables that…

This study aimed to examine the importance levels of mathematics-specific trend variables in PISA (Programme for International Student Assessment) 2003 and 2012 in predicting mathematics performance across years with a two-step analysis method. The sample of the study was 9703 Turkish students (N[subscript 2003]=4855 and N[subscript 2012]=4848)…

This study aims to investigate how Turkish students' involvement in information and communication technologies (ICT) predicts their math and science performance in the 2018 Programme for International Student Assessment (PISA) test. The research also tests demographic variables including socioeconomic status (SES) and gender as covariates. The…

This study investigated whether there are significant differences between reading achievements of 15-year-old students and starting age for preschool and socioeconomic factors according to the results from the PISA 2015 and 2018. The quantitative results show that there is a clear and statistically significant difference between reading test…

This study aimed to comparatively review student-level and school-level factors affecting scientific literacy in Singapore, Italy and Turkey. Two-level hierarchical linear modelling (HLM) was applied to the 2015 Programme for International Student Assessment data set. The findings show that (a) the enjoyment of science, interest in broad science…

The percentage of students with lower academic achievement than their peers due to their socio-economical disadvantages is globally accepted as an indicator of inequality. Some students, despite their disadvantages, are as successful as their advantaged peers. The family and individual characteristics and academic experiences of these students,…

This study aimed to determine the affective and socioeconomic variables significantly predicting achievement level of low- and high-achieving students. The data of 1323 low-achieving and 2022 high-achieving Turkish students participated in the PISA 2015 were used in the study. The data were analyzed by using binary logistic regression. The…