Comparative education is advancing with a growing emphasis on innovative research methodologies; however, integrating these approaches to address complex global education challenges remains difficult. While traditional qualitative methods are valuable, they often fail to capture the multifaceted nature of today's educational landscape. This review…

Missing data are common with large scale assessments (LSAs). A typical approach to handling missing data with LSAs is the use of listwise deletion, despite decades of research showing that approach can be a suboptimal strategy resulting in biased estimates. In order to help researchers account for missing data, we provide a tutorial using R and…

This article introduces an open-source software package--R for Qualitative Data Analysis (RQDA). RQDA is an R package for analysis of text-formatted data, which is compatible across operating platforms. It is user-friendly and seamlessly integrates with R, which makes it possible to conduct statistical analyses on qualitative coding. Alternative…

The use of codebooks to categorise qualitative data and to increase consistency in coding between multiple researchers is a well-established strategy in qualitative research. However, due to the focus on team-based research projects, the possibilities for the use of codebooks by individual researchers are rarely discussed. With the aim of adding…

"The Oxford Handbook of Qualitative Research, Second Edition" presents a comprehensive, interdisciplinary overview of the field of qualitative research. Divided into eight parts, the forty chapters address key topics in the field such as approaches to qualitative research (philosophical perspectives), narrative inquiry, field research,…

Systems for learning and producing knowledge, such as career and technical education (CTE), often reproduce inequities unless an equity-focused lens is used when designing, implementing, and evaluating programs. This framework presents guidance for conducting CTE research with an intentional focus on equity. Developed by the CTE Research Network's…

Large-scale analyses are a powerful and increasingly common tool for investigating a range of public health and social concerns (Pienta, O'Rourke, & Franks, 2011). This series will provide a primer on large-scale secondary analysis in school psychology, with this article focusing on considerations for researchers interested in applying and…

Secondary data analysis in educational research has been an established research method for many years. Yet, few publications outline the "how to" of undertaking the process. This paper presents an analysis framework suitable for undertaking secondary data analysis within the field of education. The framework is a modification and an…

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…

Machine learning (ML) provides a powerful framework for the analysis of high-dimensional datasets by modelling complex relationships, often encountered in modern data with many variables, cases and potentially non-linear effects. The impact of ML methods on research and practical applications in the educational sciences is still limited, but…

The book provides a grounded, narrative exploration of contemporary qualitative PhD research in the fields of language education and applied linguistics. The chapters are authored by current and former PhD candidates studying in New Zealand, with commentaries from international experts in the field. The book contains ten chapters in addition to…

This popular text, now in its fifth edition, provides step-by-step guidance for new and experienced researchers who want to use interviewing as a research method. This user-friendly guide explains the rationale for interviewing and the complexity of selecting interview participants, important interviewing techniques, and how to work with the…

Education researchers use surveys widely. Yet, critics question respondents' ability to provide high-quality responses. As schools increasingly use student surveys to drive local policy making, respondents' (lack of) motivation to provide quality responses may threaten the wisdom of using questionnaires for data-based decision making. To better…

Reviews of research in special education have a unique place in the scientific literature, with the potential to inform a broad audience about the effectiveness and acceptability of assessment and intervention strategies for a heterogeneous group of children and youth. Results from reviews are useful to school leaders, practitioners, parents,…

Background: Britain is rich in longitudinal population cohort studies that posit valuable data resources for social science. However, education researchers currently underutilize these resources. Aims: The current paper (1) outlines the power and benefits of secondary data analyses for educational science and (2) provides a practical guide for…