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…

This study explores the factors influencing mathematics performance, teacher satisfaction, and school environment across six economies using data from PISA 2022. Employing hierarchical linear modeling, the research examines individual and institutional variables at the student, teacher, and school levels. Key findings reveal significant…

Children who are excluded from school may end up being excluded from other social institutions. Yet little research has considered whether low school belonging is a risk factor for not being in education, employment, or training after graduation. Using two longitudinal cohorts from Australia (N = 14,082; 51% Boys), we explored this relationship.…

Covariates have been used in mixture IRT models to help explain why examinees are classed into different latent classes. Previous research has considered manifest variables as covariates in a mixture Rasch analysis for prediction of group membership. Latent covariates, however, are more likely to have higher correlations with the latent class…

The literature on the relationship between socioeconomic background (SES) and university education is inconsistent. Some studies conclude SES is important to university entry and course completion, others find trivial SES effects, net of students' prior performance, and a third group concludes that SES effects are important and policy relevant…

I brought together two strands of literature, one investigating the moderate but persistent underachievement of girls in mathematics in most countries, and the other examining the role of self-efficacy and other self-beliefs in predicting behaviour and achievement. I implemented detailed decompositions of the gender mathematics gap, both at the…

Although the gender gap in non-compulsory science attracts much attention, few studies compare factors that shape it at subsequent life stages. Here, a life-course approach is used to examine the gender gap in science career expectations at ages 16, 23 and 26 for a recent student cohort. Then, a decomposition is applied to assess what share of the…

We examined Differential Item Functioning (DIF) and the size of cross-cultural performance differences in the Programme for International Student Assessment (PISA) 2012 mathematics data before and after application of propensity score matching. The mathematics performance of Indonesian, Turkish, Australian, and Dutch students on released items was…

Declines in the scores of Australian 15-year-old students from the Programme for International Student Assessment are a matter of policy interest. Some of the declines may have resulted from shifts in the age-grade distributions of students in the Programme for International Student Assessment samples. We use multiple regression methods to model…

Recent reports based on PISA data have shown a generally positive relationship between the amount of time spent on homework and achievement, and a negative relationship between a measure of socioeconomic status and homework time for secondary students. These findings suggest that homework practices are either reflecting or contributing to…

Recently, students' interest in science has been conceptualized as a network model: the science interest network model (SINM) in which affective, behavioural and cognitive components interact together; building on science interest being a dynamic relational construct. In the current study, we combine the Australian Programme for International…

While research on adolescent occupational expectations is voluminous, it either ignores students who do not report any career plans or imputes their answers. Consequently, little is known about the potential consequences that not having clear occupational expectations in adolescence might have for educational and occupational attainment in young…

In large-scale international assessments such as the Programme for International Student Assessment (PISA), the Trends in International Mathematics and Science Study (TIMSS), or the Progress in International Reading Study (PISA), research has struggled to find positive associations between the frequency of educational technology use in schools and…

Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…

Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and…