Students often believe that statistical significance is the only determinant of whether a quantitative result is "important." In this paper, I review traditional null hypothesis statistical testing to identify what questions inferential statistics can and cannot answer, including statistical significance, effect size and direction,…

Video-based intervention (VBI) is an evidence-based practice for teaching a wide array of skills to autistic children and young adults; however, a limited number of studies have examined the effectiveness of parent-implemented VBI when teaching children functional skills in a home setting. The purpose of this evidence-based systematic review was…

The general assembly meeting of the United Nations Educational, Scientific and Cultural Organization (UNESCO) in 2015 adopted the 17 Sustainable Development Goals (SDGs) aimed at achieving a better and more sustainable world by 2030. Incorporating sustainable values through a series of pedagogical strategies into university curricula to help…

How researchers use statistical analyses shapes their research toward or away from an anti-racist agenda. In this article, we demonstrate how developmental scientists can use the QuantCrit framework to critically examine the process of conducting quantitative analyses. In particular, we focus on mixture modeling to clearly demonstrate how the…

Computational thinking (CT) is being recognized as a critical component of student success in the digital era. Many contend that integrating CT into core curricula is the surest method for providing all students with access to CT. However, the CT community lacks an agreed-upon conceptualization of CT that would facilitate this integration, and…

Education is seen as an important vehicle to foster relationships with countries in the Asia-Pacific region -- particularly with Australia's most important economic partner, China. There are many prior studies that have explored the impact of Learning Management Systems (LMSs) on users, through a variety of research designs. However, the diversity…

Planned missing data designs allow researchers to have highly-powered studies by testing only a fraction of the traditional sample size. In two-method measurement planned missingness designs, researchers assess only part of the sample on a high-quality expensive measure, while the entire sample is given a more inexpensive, but biased measure. The…

This paper contrasts mixed methods design with strategic research design. Mixed methods research both advocates for itself as always better than singular research methods, while also seemingly allowing a wide variety of researchers to count their work under the very large umbrella of mixed methods. We argue for strategic research design as a set…

Addressing ways in which systemic injustices manifest in learning environments has been a significant challenge to the field of informal science learning (ISL). The dominant discourses of equity are framed around calls for inclusion and the extension of rights for quality learning opportunities for all youth. In this paper, we move beyond…

Background: Researchers are often interested in testing the effectiveness of an intervention on multiple outcomes, for multiple subgroups, at multiple points in time, or across multiple treatment groups. The resulting multiplicity of statistical hypothesis tests can lead to spurious findings of effects. Multiple testing procedures (MTPs)…

Education researchers frequently have to choose between statistical models for their data, and in many cases the candidate models or parameters can be listed in a sequence, m=1,...,M, from less preferable choices to more. For instance, in choosing a bandwidth for regression discontinuity designs, researchers would favor the largest possible…

Dissertation guiding principles and purposefully designed research curriculum guide the conceptualization and structure of dissertations in the EdD in Educational Technology at a large university in the US. An analysis of 69 dissertations completed by the first five cohorts over ten years was conducted to determine the theories, frameworks, and…

Designing and interpreting controlled experiments are important inquiry skills addressed in many current science curricula. The relevant skills associated with the design and interpretation of controlled experiments are summarised under the term control-of-variables strategy (CVS). Research on elementary school students' CVS skills shows that they…

Observation research can shed light on the degree to which students have access to research-based instruction and intervention. In this systematic review of reading observation research for students with and at risk for emotional and behavioral disorders, we sought to identify trends in the settings and student populations investigated and…

As the field of K-12 data science education continues to take form, humanistic approaches to teaching and learning about data are needed. Data feminism is an approach that draws on feminist scholarship and action to humanize data and contend with the relationships between data and power. In this review paper, we draw on principles from data…