Discrete Choice Experiments (DCEs) are widely used in behavioral sciences to examine how humans value attributes of a technology, how those values drive decisions, and how they make trade-offs. The method has increasingly been used to inform technologies and interventions for addressing critical issues (e.g. disease and hunger). Different formats…

The study of infant gaze has long been a key tool for understanding the developing mind. However, labor-intensive data collection and processing limit the speed at which this understanding can be advanced. Here, we demonstrate an asynchronous workflow for conducting violation-of-expectation (VoE) experiments, which is fully "hands-off"…

Industry-funded research can prevent academic freedom from thriving at universities. It can also lead to misleading research that harms consumers. This book chapter focuses on how corporations sometimes use methods that contribute to the corruption of science and includes descriptions of several cases that occurred at universities. Some of the…

This paper explores the concept of adaptive research design, in which topic, theoretical framing, method, and data are "in principle" open to adaptation during the research process. The main premise is that adaptations in one element of the research process can trigger changes in other elements. Both positive and negative reasons for…

This study aims to introduce network meta-analysis (NMA) to provide educational researchers with an extended view of the reviewing educational research. Meta-analytic methods have been widely used in educational research reviews. However, weaknesses have emerged in the multi-group comparison analysis of educational studies where different…

The article is based on a Keynote Lecture at the 2022 Colloquium of the Society for Educational Studies. It analyses the articles published in four leading journals in 2021 and compares these with the same journals 20 years earlier. Key findings include a considerable increase in authorship and multiple authorship and a very strong international…

Single-case research designs are useful for learning disability researchers interested in refining novel interventions (e.g., new mathematics intervention) before scaling, small n populations (e.g., students with comorbid learning and emotional and behavioral disabilities), and testing unique conditions (e.g., remote locales). Much attention has…

Responsive survey design is a technique aimed at improving the efficiency or quality of surveys by using incoming data from the field to make design changes. The technique was pioneered on large national surveys, but the tools can also be applied on the smaller-scale surveys most commonly used by sociologists. We demonstrate responsive survey…

Conducting research with human subjects can be difficult because of limited sample sizes and small empirical effects. We demonstrate that this problem can yield patterns of results that are practically indistinguishable from flipping a coin to determine the direction of treatment effects. We use this idea of random conclusions to establish a…

Within physics education research (PER), resource theory has proven to be a useful framework for investigating knowledge and learning and informing instructional design. To analyze learning over longer timescales and across cases, PER scholars must first identify and describe the resources activated within and across physics contexts and domains.…

Background and Context: Every student is a powerful learner capable of succeeding in mathematics. The EF+Math Program aims to dramatically improve math outcomes for Black and Latinx students and students of all races experiencing poverty (hereafter, our Priority Students). We are a community of researchers, developers, educators, and students who…

Context: A perennial problem in applied statistics is the inability to justify strong claims about cause-and-effect relationships without full knowledge of the mechanism determining selection into treatment. Few research designs other than the well-implemented random assignment study meet this requirement. Researchers have proposed partial…

In fields (such as population health) where randomised trials are often lacking, systematic reviews (SRs) can harness diversity in study design, settings and populations to assess the evidence for a putative causal relationship. SRs may incorporate causal assessment approaches (CAAs), sometimes called 'causal reviews', but there is currently no…

Optimal sampling frameworks attempt to identify the most efficient sampling plans to achieve an adequate statistical power. Although such calculations are theoretical in nature, they are critical to the judicious and wise use of funding because they serve as important starting points that guide practical discussions around sampling tradeoffs and…

To celebrate the 50th anniversary of the Australasian Science Education Research Association's annual conference, this paper reviews the last 25 years of the Association's journal "Research in Science Education" ("RISE"). All "RISE" papers, at 4-year intervals (1994-2018; seven volumes), were reviewed: a total of…