How do people come to opposite causal judgments about societal problems, such as whether a public health policy reduced COVID-19 cases? The current research tests an understudied cognitive mechanism in which people may agree about what "actually" happened (e.g., that a public health policy was implemented and COVID-19 cases declined),…

The purpose of this study was to examine the role of the causal connectivity of the statements ("low-medium-high"), elaboration question condition ("focused on the identification of main ideas-focused on the identification of speakers' emotions") and the modality of presentation of discourse ("oral-written") in the…

This paper analyzes the impact of college athletic reclassification for educational institutions in the United States. Most of America's colleges and universities offer athletic opportunities for their students under NCAA governance. The level of competition and associated resource requirements range from relatively low (Division 3) to high…

Reweighting a distribution to minimize a distance to a target distribution is a powerful and flexible strategy for estimating a wide range of causal effects, but can be challenging in practice because optimal weights typically depend on knowledge of the underlying data generating process. In this paper, we focus on design-based weights, which do…

Over the past two decades, family structures have diversified. International migration has led to a rise in the number of families in which at least one parent is foreign-born. Increases have also been observed in both the rate of partnership separation, leading to a greater number of single-parent households and an increase in the number of…

This article reports on a critical policy analysis of discourses related to school exclusions. The management of problematic student behaviour is one of the intractable problems facing education systems today. Despite being ineffective, school suspensions and exclusions are commonly used in many countries as a discipline strategy to manage student…

Most current statistics courses include some instruction relevant to causal inference. Whether this instruction is incorporated as material on randomized experiments or as an interpretation of associations measured by correlation or regression coefficients, the way in which this material is presented may have important implications for…

The main aim of this study is to examine the mediating effect of psychological capital (PsyCap) on the relationship between proactive personality and academic performance among undergraduates. A quantitative approach with a cross-sectional study was employed. The sample consisted of 390 undergraduate students from Malaysian private universities.…

Causal reasoning is a fundamental cognitive ability that enables individuals to learn about the complex interactions in the world around them. However, the mechanisms that underpin causal reasoning are not well understood. For example, it remains unresolved whether children's causal inferences are best explained by Bayesian inference or…

The purpose of this study was to conduct an evaluation of the pilot program of the Turnaround Arts reform using a comparative interrupted time series design. Because the only existing evaluation of the Turnaround Arts pilot program lacks clarity and transparency, reanalyzing this program is important to understand the effects of the initiative. I…

Causal inference involves determining whether a treatment (e.g., an education program) causes a change in outcomes (e.g., academic achievement). It is well-known that causal effects are more challenging to estimate than associations. Over the past 50 years, the potential outcomes framework has become one of the most widely used approaches for…

Background: The landscape of education is increasingly recognizing the impactful role of Career and Technical Education (CTE) programs in preparing students for the workforce. In Delaware, the implementation of CTE programs has been substantial, offering students opportunities to earn college credits, attain industry certifications, and gain…

Scholars who conduct process tracing often face the problem of missing data. The inability to document key steps in their causal chains makes it difficult to validate theoretical models. In this article, we conceptualize "missingness" as it relates to process tracing, describe different scenarios in which it is pervasive, and present…

The ability to consider multiple possibilities forms the basis for a wide variety of human-unique cognitive capacities. When does this skill develop? Previous studies have narrowly focused on children's ability to prepare for incompatible future outcomes. Here, we investigate this capacity in a causal learning context. Adults (N = 109) and 18- to…

Comparative and case study researchers have responded to critiques of their methods by developing formal procedures to validate theoretical claims through set theoretical logics of causal conditions. This 'logico-formalist turn' has involved the stricter application of the schemas of set theory and the philosophy of logic to raise validation…