To design effective instruction, educators need to know "what" design strategies are generally effective and why these strategies work, based on the mechanisms through which they operate. Experimental comparison studies, which compare one instructional design against another, can generate much needed evidence in support of effective…

This article provides clear and practical guidelines for researchers seeking to use national secondary datasets to conduct evidence-based research. Drawing from our own experiences, we discuss a six-step research process model (Bryan et al., 2010, 2017) to help researchers navigate the use of these datasets. We present examples from the school…

The purpose of this manuscript is to illustrate the value and potential of critical approaches to quantitative research. We begin by providing our positionalities as scholars to situate ourselves within this content. Next, we overview quantitative criticalism and explore tensions inherent within this approach. Following, we discuss four…

Hamdani et al. recently provided guidance for prospective authors on a wide range of issues encountered in quantitative research papers submitted for review at the "Journal of Management Education." Building on their insights, this essay focuses on experimental designs and provides more specific guidance and recommendations for…

The purpose of this conceptual paper is to engage with the idea of criticality, specifically as performed by higher education researchers that espouse a critical quantitative approach. We contend there are many inherent hazards, ethical commitments, and contradictions that come with engaging in critical quantitative inquiry. Chief among the…

The randomized control trial (RCT) is the primary experimental design in education research due to its strong internal validity for causal inference. However, in situations where RCTs are not feasible or ethical, quasi-experiments are alternatives to establish causal inference. This paper serves as an introduction to several quasi-experimental…

Methodologists serve a critical role in the research enterprise. It is our contention that there is an imbalance between the need for methodologists and the needs of methodologists. Providing methodological support to substantive research and methodological reviews are critical service areas that strengthen the entire research enterprise.…

In this essay, we focus on methodological issues that reviewers and editors commonly encounter when evaluating empirical articles in scholarship of teaching and learning in management education. We organize our discussion around three stages--design, analysis, and reporting. The essay identifies which types of issues are likely to receive…

Whether you believe you need a methodologist is very much dependent on academic training and your experience working with methodologists in pursuit of research. Methodologists are indispensable at all phases of the research process but perhaps nowhere more than at the beginning, when formulating your research questions and specifying what it is…

In educational studies, the paradigm war over quantitative and qualitative research approaches has raged for more than half a century. The focus in the late twentieth century was on the distinction between the two approaches, and the motivation was to retain one of the approaches' supremacy. Since the early twenty-first century, there has been a…

Toward the goal of more rapid knowledge accumulation via better meta-analyses, this article explores statistical approaches intended to increase the precision and comparability of effect sizes from education research. The featured estimate of the proposed approach is a standardized mean difference effect size whose numerator is a mean difference…

Educational inequalities are one of the most critical issues facing contemporary societies. While there is a substantial body of quantitative literature tracking inequalities in education based on students' characteristics, an emerging literature is applying the concept of intersectionality to acknowledge the multiple, overlapping impact of these…

Despite growing calls to develop data science students' ethical awareness and expand human-centered approaches to data science education, introductory courses in the field remain largely technical. A new interdisciplinary data science program aims to merge STEM and humanities perspectives starting at the very beginning of the data science…

Structural equation modeling is an ideal data analytical tool for testing complex relationships among many analytical variables. It can simultaneously test multiple mediating and moderating relationships, estimate latent variables on the basis of related measures, and address practical issues such as nonnormality and missing data. To test the…

Regression Tree Method is not yet a mainstream method in Education, despite of being a traditional approach in Machine Learning. We advocate that this method should become mainstream in Education, since, in our point of view, it is the most suitable method to analyse complex datasets, very common in Education. This is, for example, the case of…