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…

Brazil's education system lags behind international standards, with two-fifths of students scoring below the minimum level of proficiency in mathematics, science, and reading. Thus, this study combined machine learning with traditional statistics to identify the most important predictors and to interpret their effects on proficiency in the PISA…

The main purpose of this study was to explore major factors at student and teacher/school levels affecting middle-school students' science self-efficacy among countries with high science academic performance levels in PISA 2015 data by using various regression algorithms of machine learning and multilevel latent profile analysis (MLPA). Out of…

This study focuses on the effectiveness of two types of teaching practices (i.e., inquiry-based and teacher-directed) on students' science achievement, an ongoing contentious issue in science education. It examined the direct and indirect effects of the two types of teaching practices, enjoyment of science, and students' science achievement with…

The study investigates the academic resilience of Swedish students, focusing on how school-level factors contribute to achievement differences between resilient and non-resilient students. Using data from PISA cycles from 2000 to 2015, the study employs propensity score matching and hierarchical linear modeling to examine the impact of individual,…

The purpose of the current study is to examine malleable school practices and norms that contribute to inequitable school learning environments based on student background. Using multilevel structural equation modeling (SEM) with the U.S. sample of PISA 2015, this study examines the extent to which student-level access to inquiry-based science…

The present study ascertains the relationship between socioeconomic status (SES) and students' science self-efficacy using data involving 509,182 15-year-old students and 17,678 school principals in 69 countries/regions who participated in the Programme for International Student Assessment (PISA) 2015. Hierarchical linear modelling results show…

The Programme for International Student Assessment, carried out every three years by the Organization for Economic Co-operation and Development across a large number of countries and economies, have shown that socioeconomically disadvantaged students are almost three times more likely than advantaged students not to attain the baseline level of…

Traditionally secondary studies on achievement on Programme for International Students Assessment (PISA) tests point to the significant impact of socioeconomic status and cultural backgrounds of families as well as the role of parental involvement, which in some cases has had a negative impact on achievement. For this article, a model of…

To explore the wider educational environment included in the dynamic model of educational effectiveness, this paper reexamines the association between student achievement and two national culture dimensions: Monumentalism-Flexibility and Collectivism-Individualism. Using Programme for International Student Assessment (PISA) 2018 data of 317,127…

In Ireland, while, on average, students have performed well on national and international assessments of mathematics and science, the low proportions of high achievers in these subjects are noteworthy. Given these patterns and the multifaceted benefits in individual and societal terms that expertise in mathematics and science has been associated…

This study analyzes how students' reported teaching practices of their teachers and their attitudes towards science are related to the science achievements of four high-performing countries/economies in PISA 2015: Hong Kong, China, Canada, and Finland. A study of these regions can shed light on the commonalities of and differences between the…

Background: Expectancy-value theory posits that higher levels of utility-value yield better achievement outcomes. Much of the existing research on utility value has focused on the individual as the unit of analysis. Person-culture fit theory, however, suggests that it is also important to consider the fit between the person and the broader society…

As scientific literacy plays a contributing role in identifying, analysing, and solving environmental matters that our world is facing, there is growing consensus to mandate environmental matters in science classrooms following five decades of efforts in promoting environmental education. However, much remains unknown about the relationship…

There is a persistent stereotype that gifted students feel ostracized and have less sense of belonging than their normative peers. To explore this stereotype, data from 9251 15-year-old students in the U.S. were used to explore differences in the sense of belonging across achievement levels in various domains (i.e., mathematics, science, and…