More than 20 years after the first round of the OECD's Programme for International Student Assessment (PISA), it has become one of the most important large-scale international assessments, at a global level and in particular in Europe. Thus, a growing number of scholars have examined or discussed its research design. Nonetheless, a key feature of…

This colloquium brings information about a second cycle of OECD's International Early Learning and Well-being Study (IELS) to the early childhood community, and offers a further critique of the approach to comparative research that the IELS embodies.

Several international large-scale assessments were conducted at the turn of the new century, and during the past two decades the Programme for International Student Assessment (PISA) completed seven cycles of assessment to facilitate practitioners' policy debates and governance. This study reviews PISA-related articles published in English and…

In education, reform and renewal are constant. Policies are continually changing to meet the needs of the times and the society. Political advisors, such as the Organization for Economic Cooperation and Development, play an important role among private consultants as policy actors. According to Gunter's (in: Howlett and Mukerjee (eds), Handbook of…

This article addresses conceptual and methodological shortcomings regarding conducting and interpreting intelligence test factor analytic research that appeared in the Decker, S. L., Bridges, R. M., Luedke, J. C., & Eason, M. J. (2020). Dimensional evaluation of cognitive measures: Methodological confounds and theoretical concerns.…

Tests of statistical significance often play a decisive role in establishing the empirical warrant of evidence-based research in education. The results from pattern-based assessment items, as introduced in this paper, are categorical and multimodal and do not immediately support the use of measures of central tendency as typically related to…

Descriptive analyses of socially important or theoretically interesting phenomena and trends are a vital component of research in the behavioral, social, economic, and health sciences. Such analyses yield reliable results when using representative individual participant data (IPD) from studies with complex survey designs, including educational…

Cross-national comparisons of educational achievement rely upon each participating country collecting nationally representative data. While obtaining high response rates is a key part of reaching this goal, other potentially important factors may also be at play. This paper focuses on one such issue--exclusion rates--which has received relatively…

Creative thinking was assessed as an innovative domain for the first time in PISA 2022. This report presents the creative thinking results for Australia as a whole, for the Australian states and territories and for the other groups in PISA 2022. It is one of two thematic reports providing additional high-level analysis of Australia's 2022 PISA…

This research aims to obtain a learning model that can improve higher order thinking skills in financial reporting of accounting. The model was developed using four stages of research and development (R&D): 1) preliminary research; 2) development; 3) testing for limited scale; 4) testing for wide-scale. The population of this research is the…

Although academic resilience is of great concern to contemporary educational practitioners, there is no consensus on its measurement. Furthermore, protective factors characterized by East Asian societal contexts remain ambiguous. This systematic review aims to offer an overview of the operational definitions, statistical methodology, and…

Common response-time-based approaches for non-effortful response behavior (NRB) in educational achievement tests filter responses that are associated with response times below some threshold. These approaches are, however, limited in that they require a binary decision on whether a response is classified as stemming from NRB; thus ignoring…

Data analysis is a significant methodological component when conducting quantitative education studies. Guidelines for conducting data analyses in quantitative education studies are common but often underemphasize four important methodological components impacting the validity of inferences: quality of constructed measures, proper handling of…

Background: Observation Studies, Unmeasured Confounding, and Sensitivity Analysis: An important part of educational research is identifying important, potentially causal, factors that influence children's learning from observational studies. However, it is well-known that discovering such factors from observational studies can be biased due to…

In studies of educational achievement, students' self-reported number of books in the family home is a frequently used proxy for social, cultural, and economic background. Absent hard evidence about what this variable captures or how well, its use has been motivated by strong associations with student outcomes. I show that these associations rest…