The issue of model uncertainty has been gaining interest in education and the social sciences community over the years, and the dominant methods for handling model uncertainty are based on Bayesian inference, particularly, Bayesian model averaging. However, Bayesian model averaging assumes that the true data-generating model is within the…

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…

Based upon the ecological perspective and the social cognitive theory, this study examined the role of reading self-efficacy in the associations of contextual factors with reading achievement by establishing an educational ecology of reading. The model included student factors, student/home factors, student/school factors, and school factors of…

Student motivation predicts academic achievement, engagement, and related academic behaviors. Yet in spite of the importance of motivation for academic success, few studies have examined the school and national-level contextual characteristics associated with motivation. The present study uses hierarchical linear modeling to analyze a large…

The current simulation study examined the effects of Item Parameter Drift (IPD) occurring in a short scale on parameter estimates in multilevel models where scores from a scale were employed as a time-varying predictor to account for outcome scores. Five factors, including three decisions about IPD, were considered for simulation conditions. It…

Purpose: Singapore is a country with low teacher attrition rates and high performance on international assessments (TIMSS 2011/2015 and PISA 2012/2015). Consequently, its education system is often considered as a model for other nations. The purpose of this paper is to extend research on teacher job satisfaction in Singapore and provide…

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…

One of the overarching goals of international large-scale assessments (ILSA) is to inform public discourse about the quality of education in different countries. To fulfil this function, the Organisation for Economic Co-operation and Development (OECD), for example, raises awareness of the Program for International Student Assessment (PISA)…

Taiwanese students are featured as having high academic achievement but low motivational beliefs according to the serial results of the Trends in Mathematics and Science Study (TIMSS). Moreover, given that the role of context has become more important in the development of academic motivation theory, this study aimed to examine the relationship…

In this study, it is aimed to examine the effect of classroom assessment on science and mathematics achievements. For this purpose, hierarchical linear modeling (HLM) is performed using variables of like learning science/maths, engage teaching in science/maths, confidence in science/maths, and home resources for learning variables at the student…

This paper explores parental involvement using principal and parent survey reports to examine whether parents' involvement in their children's schools predicts academic achievement. Survey data from principals and parents of seven countries from the PISA 2012 database and hierarchical linear modelling were used to analyse between- and within-…

This study examines between-country differences in the degree to which teachers' working conditions, salaries, and societal evaluations about desirable job characteristics are associated with students' teaching career expectations. Three-level hierarchical generalized linear models are employed to analyze cross-national data from the Programme for…

Hierarchical organization of schooling in all nations insures that international large-scale assessment data are multilevel where students are nested within schools and schools are nested within nations. Longitudinal follow-up of these students adds an additional level. Hierarchical or multilevel models are appropriate to analyze such data. A…

Educational effectiveness research has witnessed some growth in the last three decades because the current era of global competitiveness compels each country to train and equip its citizens with knowledge and skills that would make them successful. Researchers from different countries are investigating factors across various levels within the…

The present study examined indirect effects of principal leadership on the mathematics achievement of 254,475 15-year-old students from 10,313 schools in 32 OECD economies. Results showed that the students could be divided into three categories ("Disadvantaged," "Average," and "Privileged") differing in levels of…