This paper describes a case study for introductory statistics courses that promotes critical thinking in relation to causation.

Character education in schools is implemented using different approaches. The current practices related to character education, though, include educators implementing preplanned lessons and activities from published programs. Yet, these current practices have mixed reviews in large- and small-scale studies. The purpose of this article is to…

The purpose of this essay is to illustrate the value of applying the lessons of successful historical battlefield commanders to teach leadership concepts and theories. This article uses the experience of Napoleon Bonaparte's "Grande Armee" at the Battle of Austerlitz to illustrate these concepts. Utilizing Napoleon's success in this…

The central goal of this research study was to characterise the different types of reasoning manifested by high school chemistry students when building initial written explanations of a natural phenomenon. In particular, our study participants were asked to explain why a mixture of water and alcohol works as an antifreeze. Data collected in the…

Making causal claims is central to evaluation practice because we want to know the effects of a program, project, or policy. In the past decade, the conversation about establishing causal claims has become prominent (and problematic). In response to this changing conversation about causality, we argue that evaluators need to take up some new ways…

Motivation is a complex and dynamic phenomenon that is crucial for students' engagement and achievement. It is well known that motivation, especially mathematics motivation, declines over time, often starting in middle childhood. This dissertation is a collection of three studies that examine the trends and patterns of motivation within and across…

The authors of the focus article describe an important issue related to the use and interpretation of causal indicators within the context of structural equation modeling (SEM). In the focus article, the authors illustrate with simulated data the effects of omitting a causal indicator. Since SEMs are used extensively in the social and behavioral…

School climate has been widely examined through both empirical and theoretical means. However, there is little conceptual consensus underlying the landscape of this literature, offering inconsistent guidance for research examining this important construct. In order to best assist the efforts of developing causal models that describe how school…

Understanding how chemistry teachers' interventions shape the reasoning that students express after a lesson is critical to support prospective and in-service teachers as they work with students' ideas in the classroom. In this qualitative research study, we analysed changes in the reasoning expressed by 10th grade students in a Chilean school in…

In this commentary, Mijke Rhemtulla, Riet van Bork, and Denny Borsboom write that they were delighted to see Bainter and Bollen's paper as a focus article in "Measurement." In their view, psychological researchers who use SEM rely too reflexively on reflective measurement, without sufficiently considering whether their indicators are…

Background: Observation Studies, Unmeasured Confounding, and Sensitivity Analysis: An important part of educational research is identifying important, potentially causal, factors that influence children's learning from observational studies. However, it is well-known that discovering such factors from observational studies can be biased due to…

Treatment effect estimates from a "regression discontinuity design" (RDD) have high internal validity. However, the arguments that support the design apply to a subpopulation that is narrower and usually different from the population of substantive interest in evaluation research. The disconnect between RDD population and the…

A critical issue in educational evaluation is whether evaluations should focus on standardized (summative, often quantitative) or contextualized (formative or often qualitative) evidence. The author of this article advises readers to beware of false dichotomies. The big issue is not whether evaluations should be "standardized" or…

Two key research issues in the field of causal learning are how people acquire causal knowledge when observing data that are presented sequentially, and the level of abstraction at which learning takes place. Does sequential causal learning solely involve the acquisition of specific cause-effect links, or do learners also acquire knowledge about…

In their 2016 work, Aguirre-Urreta et al. provided a contribution to the literature on causal measurement models that enhances clarity and stimulates further thinking. Aguirre-Urreta et al. presented a form of statistical identity involving mapping onto the portion of the parameter space involving the nomological net, relationships between the…