It is difficult for consumers to access the evidence base for prevention programs to determine which models or practices have the strongest empirical support for improving youth social, emotional, and behavioral (SEB) outcomes within their specific service contexts. Researchers can address this evidence-to-practice gap through innovations in…

It is difficult for consumers to access the evidence base for prevention programs to determine which models or practices have the strongest empirical support for improving youth social, emotional, and behavioral (SEB) outcomes within their specific service contexts. Researchers can address this evidence-to-practice gap through innovations in…

Single-case experimental designs (SCEDs) have a long history in clinical and educational disciplines. One underdeveloped area in advancing SCED design and analysis is understanding the process of how internal validity threats and operational concerns are avoided or mitigated. Two strategies to ameliorate such issues in SCED involve replication and…

Randomized response techniques (RRTs) are useful survey tools for estimating the prevalence of sensitive issues, such as the prevalence of doping in elite sports. One type of RRT, the unrelated question model (UQM), has become widely used because of its psychological acceptability for study participants and its favorable statistical properties.…

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…

"Decolonising our approaches to educational research-- Learning from our shared experiences at Rangahau Matauranga o Aotearoa (NZCER)" shares insights from a recent workshop at NZCER focused on the questions, tensions and challenges our kairangahau are grappling with in research and evaluation. It includes a description of the workshop…

A number of resources are available for evaluating the rigor of single-case designs, including the commonly used multiple baseline design. In this article, we discuss two characteristics commonly cited as necessary for the highest rigor in multiple baseline designs--concurrence and response-guided baseline condition duration. We suggest that both…

The world is facing complex global societal challenges including accelerating climate change, a pandemic, rising social inequalities also in well-functioning welfare states, cultural and linguistic diversity, and a renewed call for racial justice. Developmental psychology can make strong contributions to address these and other global challenges…

Longitudinal panel studies are widely used in developmental science to address important research questions on human development across the lifespan. These studies, however, are often challenging to implement. They can be costly, time-consuming, and vulnerable to test--retest effects or high attrition over time. Planned missingness designs (PMDs),…

In the field of educational technology and instructional design, research methods are emerging that aim to curate different forms of knowledge and insights beyond traditional research studies, or what Reigeluth and An (in Reigeluth and Carr-Chellman (eds) Instructional-design theories and models: Building a common knowledge base, Lawrence Erlbaum…

Realist evaluation (RE) is a research design increasingly used in program evaluation, that aims to explore and understand the influence of context and underlying mechanisms on intervention or program outcomes. Several methodological challenges, however, are associated with this approach. This article summarizes RE key principles and examines some…

Educators and researchers strive to build policies and practices on data and evidence, especially on academic achievement scores. When assessment scores are inaccurate for specific student populations or when scores are inappropriately used, even data-driven decisions will be misinformed. To maximize the impact of the research-practice-policy…

As a research field geared toward understanding and improving learning, Learning Analytics (LA) must be able to provide empirical support for causal claims. However, as a highly applied field, tightly controlled randomized experiments are not always feasible nor desirable. Instead, researchers often rely on observational data, based on which they…

The aim of this paper is to introduce a software that is appropriate for the generalizability theory for not only balanced but also unbalanced data sets. Because it is possible to have unbalanced data sets while conducting a study, the researchers have devised an easy solution, other than deleting data, to balance the design to cope with this…

Particular ethical tensions and dilemmas emerge when conducting qualitative educational research. This is further compounded where the predominant approach to research ethics is underscored by a dominant principalism which construes ethical rules as both universal and absolute. This article focuses on the 'perfect ethical storm' which is arguably…