In parallel process latent growth curve mediation models, the mediation pathways from treatment to the intercept or slope of outcome through the intercept or slope of mediator are often of interest. In this study, we developed causal mediation analysis methods for these mediation pathways. Particularly, we provided causal definitions and…

Does political ideology affect how students judge situations? Although students who are liberal or conservative might both show political bias, they differ in their views of how the world works. This experiment conducted with 739 students manipulates ideology in a scenario about a student government regulating a biased student newspaper. Results…

This study examines the effects of universal public pre-kindergarten for 3-year-olds (Pre-K3) on later public education outcomes, including enrollment, school mobility, special education status, and in-grade retention from kindergarten through second grade. While universal pre-kindergarten programs typically target 4-year-olds, interest in…

When planning a cluster randomized trial, evaluators often have access to an enumerated cohort representing the target population of clusters. Practicalities of conducting the trial, such as the need to oversample clusters with certain characteristics in order to improve trial economy or support inferences about subgroups of clusters, may preclude…

Social intelligence is the capacity, capability, or ability to build relationships with others effectively; therefore, its existence is vital for an organization's members, including teachers, in the school organization context. Therefore, this study explores the link between social intelligence and creativity, teaching self-efficacy, affective…

Conventional approaches to causation in the social sciences draw on approaches in the Philosophy of Science in which a causal force acts on cases and generates change in the form of events. This relies on just one of the Aristotelian conceptions of cause - efficient cause - what brings the effect in to being. We should also pay attention to Final…

Random encouragement designs are randomized controlled trials (RCTs) that test interventions aimed at increasing participation in a program or activity whose take up is not universal. In these RCTs, instead of randomizing individuals or clusters directly into treatment and control groups to participate in a program or activity, the randomization…

Intensive longitudinal data has been widely used to examine reciprocal or causal relations between variables. However, these variables may not be temporally aligned. This study examined the consequences and solutions of the problem of temporal misalignment in intensive longitudinal data based on dynamic structural equation models. First the impact…

The quality of products from the causal mapping process and the effect of factors related to causal map quality are unlikely to be the same for students at different educational levels. However, there is a lack of studies that provide insights into causal maps constructed by primary school students to reveal appropriate strategies. This study…

Given the developmental benefits associated with higher sense of purpose, past work has aimed to understand how experiences of adversity relate to sense of purpose. With a specific focus on experiences of adversity that may impact individuals from marginalized groups, past work has found that discrimination is related to lower sense of purpose in…

Talent identification and development systems (TIDS) adopt a deterministic perspective (i.e. athletes' future state/performances can be predicted by observations of their initial state/performance), which encourages early identification and specialisation in sport. In this framework, the main aim of sport systems is to enhance predictability and…

In recent years, proponents of configurational comparative methods (CCMs) have advanced various dimensions of robustness as instrumental to model selection. But these robustness considerations have not led to computable robustness measures, and they have typically been applied to the analysis of real-life data with unknown underlying causal…

The p-factor is a construct that is thought to explain and maybe even cause variation in all forms of psychopathology. Since its 'discovery' in 2012, hundreds of studies have been dedicated to the extraction and validation of statistical instantiations of the p-factor, called general factors of psychopathology. In this Perspective, we outline five…

Evaluators are often called upon to assess the effects of programs. To assess a program effect, evaluators need a clear understanding of how a program effect is defined. Arguably, the most widely used definition of a program effect is the counterfactual one. According to the counterfactual definition, a program effect is the difference between…

Alarmed by his students' random use of causal language in their essays, James Edward Carroll resolved to help his students improve their understanding of causal processes. Carroll decided to introduce his students to the metaphors that historians use to describe causation in the historiography of the Salem witch trials. By modelling how historians…