The article positions mixed-method research (MMR) as a principled complementary research method to the traditional quantitative and qualitative research approaches. By situating MMR in an analysis of some of the common research paradigms, the article presents it as a natural choice in order to complement and cater to the increasingly complex needs…

The historical turn in social science has prompted scholars to engage with the work of historians on a large scale. Here, social scientists face two standard problems of selection bias: confirmation bias and convenience sampling. So far, the record of dealing with these problems has been poor, and little has been done to specify how social…

The article positions mixed-method research (MMR) as a principled complementary research method to the traditional quantitative and qualitative research approaches. By situating MMR in an analysis of some of the common research paradigms, the article presents it as a natural choice in order to complement and cater to the increasingly complex needs…

As wider social and societal changes have led to moves towards equality as a response to a better understanding of inequalities, ethical considerations in research are now more consciously focussed on power dynamics. As a consequence, participatory research methods have gained traction. Simultaneously, artistic and creative methods are used within…

Direct contacts with research participants in online ethnography are an important tool to better understand complex social dynamics in cyberspace. The current ethical approaches guiding academic research, however, can be problematic in this regard, creating unintended tensions leading to potential research biases as well as safety and wellbeing…

The central purpose of school-based consultation is making psychological and educational knowledge accessible to teachers, parents, systems, and communities so that it becomes standard practice. Current research methods based on limited scientific paradigms have not adequately addressed that purpose. Applied research based on engineering is a…

Missing data are exceedingly common across a variety of disciplines, such as educational, social, and behavioral science areas. Missing not at random (MNAR) mechanism where missingness is related to unobserved data is widespread in real data and has detrimental consequence. However, the existing MNAR-based methods have potential problems such as…

This paper reports how I addressed the issue of extensive missing values in my PhD study, "Digital Competencies of High School Mathematics Teachers". I collected data using an online survey. Several methods exist to address the issue of missing values. I utilised multiple imputation (MI) as it provides more accurate results. The mean…

An increasingly multicultural Aotearoa early childhood education (ECE) landscape forms the context for my doctoral study in progress. My research explores the culturally embedded and negotiated environmental identities of a growing number of migrant Indian teachers. This article documents my experiences of confronting and navigating the unexpected…

The emphasis in Ed.D. programs on professional knowledge and practical research means methodological training in these programs must prepare their candidates for the career demands graduates will likely encounter; practitioner research is well-suited to this task. Yet, the lower status traditionally accorded to practitioner research, along with an…

Social science datasets usually have missing cases, and missing values. All such missing data has the potential to bias future research findings. However, many research reports ignore the issue of missing data, only consider some aspects of it, or do not report how it is handled. This paper rehearses the damage caused by missing data. The paper…

Data visualization technologies are powerful tools for telling evidence-based narratives about oneself and the world. This paper contributes to the literature on data science education by examining the sociotechnical practices of data wrangling--strategies for selecting and managing large, aggregated datasets to produce a model and story. We…

It is widely believed that regression models for binary responses are problematic if we want to compare estimated coefficients from models for different groups or with different explanatory variables. This concern has two forms. The first arises if the binary model is treated as an estimate of a model for an unobserved continuous response and the…

Advances in neuro-technology provide new insights into how individual students learn in educational contexts. However, applying it poses challenges for teachers in natural settings. This paper presents an example of the use and applicability of eye-tracking technology in Higher Education. We worked with a sample of 20 students from three…

As part of a growing emphasis on "STEM," engineering has gained prominence in precollege education. In response to that trend, an emerging area of educational research focuses on the "Nature of Engineering" (NOE), a collection of ideas about what engineering is, what engineers do, and how engineering is related to science and…