Purpose: Past research shows the Big-Fish-Little-Pond Effect (BFLPE; negative effect of school-average achievement on student-level academic self-concept) to generalize across countries. However, such evidence is largely limited to math and science. Given that reading self-concept is highly differentiated from math and science self-concepts and…

Given the ongoing development of computer-based tasks, there has been increasing interest in modelling students' behaviour indicators from log file data with contextual variables collected via questionnaires. In this work, we apply a latent regression model to analyse the relationship between latent constructs (i.e., performance, speed, and…

Purpose: Scientific literacy plays an important role in catalyzing science learning in the 21st century. Unfortunately, previous evidence revealed that students' scientific literacy tends to be unsatisfactory. This study investigated the effect of ethnoscience-themed picture books embedded in context-based learning (EthCBL) on students' scientific…

Adopting a comparative perspective to address educational issues in different contexts was a hallmark of Jullien's work in the early-nineteenth century. Different emphases and approaches to comparative education methodology have emerged in recent times thanks to major developments in technology, but have these changes rendered Jullien's ideas…

Math proficiency is a strong predictor of postsecondary attainment, yet cross-national comparative assessments show that U.S. students consistently score below many of their peers, especially those in East Asia. Similar math achievement disparities exist across ethnic/racial groups within the U.S., where Asian American students routinely…

The main purpose of this study is to improve estimation efficiency in obtaining maximum marginal likelihood estimates of contextual effects in the framework of nonlinear multilevel latent variable model by adopting the Metropolis-Hastings Robbins-Monro algorithm (MH-RM). Results indicate that the MH-RM algorithm can produce estimates and standard…

The main purpose of this study is to improve estimation efficiency in obtaining maximum marginal likelihood estimates of contextual effects in the framework of nonlinear multilevel latent variable model by adopting the Metropolis-Hastings Robbins-Monro algorithm (MH-RM; Cai, 2008, 2010a, 2010b). Results indicate that the MH-RM algorithm can…

The main purpose of this study is to improve estimation efficiency in obtaining full-information maximum likelihood (FIML) estimates of contextual effects in the framework of a nonlinear multilevel latent variable model by adopting the Metropolis-Hastings Robbins-Monro algorithm (MH-RM; Cai, 2008, 2010a, 2010b). Results indicate that the MH-RM…

International surveys of student achievement are becoming increasingly popular with governments around the world, as they try to measure the performance of their country's education system. The main reason for this trend is the shared opinion that countries will need to be able to compete in the "knowledge economy" to assure the economic…

This study used a Chinese-language version of the Index of Science Reading Awareness to explore the science reading metacognition and comprehension of Taiwanese students. Structural equation modelling results confirmed the underlying model comprised three clusters of metacognitive knowledge: beliefs and confidence in science reading, knowledge of…

Nonlinear multilevel latent variable modeling has been suggested as an alternative to traditional hierarchical linear modeling to more properly handle measurement error and sampling error issues in contextual effects modeling. However, a nonlinear multilevel latent variable model requires significant computational effort because the estimation…

This article considers the role of research in disentangling an increasingly complex relationship between literacy policy and practice as it is emerging in different local and national contexts. What are the tools and methodologies that have been used to track this relationship over time? Where should they best focus attention now? In answering…

In addition to collecting achievement data, international large-scale assessment programmes gather auxiliary information from students and schools regarding the context of teaching and learning. In an effort to clarify some of the opacity surrounding international large-scale assessment programmes and the potential problems associated with less…

Since the late 1990s there has been a fundamental shift in the way schooling and even education as a whole is evaluated. From this new perspective the education system would seem to be interpreted as a sub-system of the economic system and thus subservient to it. Decisions on education matters seem to have become determinant for individual…

The literature is replete with studies about the importance of context in relation to teaching and learning. Major international studies such as PISA, among others, attempt to develop an understanding of achievement in science learning in a variety of educational contexts. Here we explore the influence of educational context itself on science…