The Jeong (2020) study found that greater use of backward and depth-first processing was associated with higher scores on students' argument maps and that analysis of only the first five nodes students placed in their maps predicted map scores. This study utilized the jMAP tool and algorithms developed in the Jeong (2020) study to determine if the…

Structural equation modeling (SEM) is a statistical method widely used in educational research to investigate relationships between variables. SEM models are typically constructed based on theoretical foundations and assessed through fit indices. However, a well-fitting SEM model alone is not sufficient to verify the causal inferences underlying…

The following study shows how reparameterizations and constraints of the general linear model can serve to parse quantitative and qualitative aspects of predictors. We demonstrate three different approaches. The study uses data from the High School Longitudinal Study of 2009 on mathematics course-taking and achievement as an example. Results show…

Although graduate-educated engineers are essential for the professoriate, technological advancement, and the growth of the U.S. economy, there is concern about the shortage of future PhD-holding engineers pursuing careers in academia and industry. This shortage relates, in part, to high levels of attrition among engineering graduate students. It…

In a supportive and immersive environment, engaging in English extracurricular activities is crucial for university students as it enhances their language skills, cultivates valuable communication and teamwork abilities, and significantly alleviates their anxiety levels. This quantitative study aimed to examine the causality between the…

The paper describes the research of causal relationships between the factors of technological, organizational, environmental, and personal contexts and their influence on the development of learning intentions in potential students. Its purpose was to develop a mechanism for designing a public online educational resource platform based on the…

Previous research has shown language-specific features play a guiding role in how children develop expression of events with speech and gestures. This study adopts a multimodal approach and examines Mandarin Chinese, a language that features context use and verb serializations. Forty children (four-to-seven years old) and ten adults were asked to…

Undergraduate students within science majors in the United States have more barriers than their peers, leading to lower rates of first-year retention and academic performance. To eradicate these barriers, research has sought to understand what factors influence retention and performance of science majors. Upon investigation, it was determined that…

Purpose: The purpose of this literature review is to investigate the effectiveness of transformational school leadership (TSL) in Chinese K-12 settings between 2010 and 2019. The main objective is to provide a comprehensive understanding of TSL research in China and identify the possible future research directions. Design/Approach/Methods: Vote…

Even though agent-based modelling is seen as committing to a mechanistic, generative type of causation, the methodology allows for representing many other types of causal explanations. Agent-based models are capable of "integrating" diverse causal relationships into coherent causal mechanisms. They mirror the crucial, multi-level…

The purpose of this study was to explore how evaluators justify using story-based methodologies when examining causality. The two primary research questions of the study included: 1) what arguments are made by evaluators to justify the credibility of story-based causal methodologies to evaluation stakeholders; and 2) from the perspective of…

Research Context: In educational research, "context effects" are often of inferential interest to researchers as well as of evaluative interest to policymakers. While student education outcomes likely depend on individual-level influences like individual academic achievement, school contexts may also make a difference. Such questions are…

Children's hypothetical reasoning about a complex and dynamic causal system was investigated. Predominantly White, middle-class 5- to 7-year-old children from the Greater Toronto Area learned about novel food chains and were asked to consider the effects of removing one species on the others. In Study 1 (N = 72; 36 females, 36 males; 2018),…

Noncompliance to treatment assignment is widespread in randomized trials and presents challenges in causal inference. In the presence of noncompliance, the most commonly estimated effect of treatment assignment, also known as the intent-to-treat (ITT) effect, is biased. Of interest in this setting is the complier average causal effect (CACE), the…

Doubly robust (DR) estimators that combine regression adjustments and inverse probability weighting (IPW) are widely used in causal inference with observational data because they are claimed to be consistent when either the outcome or the treatment selection model is correctly specified (Scharfstein et al., 1999). This property of "double…