Massive open online courses (MOOCs) are among the latest e-learning initiative that have gained a wide popularity among many universities. Student dropout in MOOCs is a major concern in the higher education and policy-making communities. Most student dropout is caused by factors outside the institution's control. In this study, a multiple-criteria…

Student evaluation is a key consideration for educational program administrators because program success depends on students' ability to demonstrate successful development of core competencies. Student evaluations must therefore be aligned with learning objectives and overall program goals. Graduate level educational programs typically incorporate…

Background/Context: State-funded prekindergarten has expanded rapidly in the U.S., and there are expectations that it will have longer-term positive effects on later academic and nonacademic outcomes (e.g., Phillips et al., 2017). There is strong evidence of pre-k effects on measures of kindergarten readiness (e.g., Gormley et al., 2005; Weiland…

This article assesses how people reason with categories whose features are related in causal cycles. Whereas models based on causal graphical models (CGMs) have enjoyed success modeling category-based judgments as well as a number of other cognitive phenomena, CGMs are only able to represent causal structures that are acyclic. A number of new…

In this article, we review popular parametric models for analyzing panel data and introduce the latest advances in matching methods for panel data analysis. To the extent that the parametric models and the matching methods offer distinct advantages for drawing causal inference, we suggest using both to cross-validate the evidence. We demonstrate…

This paper describes an educational argument modeling system, GAIL (Genetics Argumentation Inquiry Learning). Using GAIL's graphical interface, learners can select from possible argument content elements (hypotheses, data, etc.) displayed on the screen with which to construct argument diagrams. Unlike previous systems, GAIL uses domain-independent…

For many years, sociologists, political scientists, and management scholars have readily relied on Qualitative Comparative Analysis (QCA) for the purpose of configurational causal modeling. However, this article reveals that a severe problem in the application of QCA has gone unnoticed so far: model ambiguities. These arise when multiple causal…

This paper provides the first mixed methods theory of causation. According to the theory, the researcher must carefully construct a causal mosaic for each research study, articulating what is causally relevant given his/her research questions, purposes, method(s), methodology(ies), paradigms(s), and resources. To engage in this "mixed…

In this commentary from Issue 14, n3, authors John Cadogan and Nick Lee applaud the paper by Aguirre-Urreta, Rönkkö, and Marakas "Measurement: Interdisciplinary Research and Perspectives", 14(3), 75-97 (2016), since their explanations and simulations work toward demystifying causal indicator models, which are often used by scholars…

Unlike general approaches to learning, the Causalitic-Thinking Approach, aims to construct phenomena that have more than one possible answer. However this approach requires scaffolding strategies. This study aims to investigate the strategy of developing scaffolding in learning with the Causalitic-Thinking Approach to increase students'…

Randomized controlled trials (RCTs) admit unconfounded design-based inference--randomization largely justifies the assumptions underlying statistical effect estimates--but often have limited sample sizes. However, researchers may have access to big observational data on covariates and outcomes from RCT non-participants. For example, data from A/B…

Within evidence-based education, results from randomised controlled trials (RCTs), and meta-analyses of them, are taken as reliable evidence for effectiveness -- they speak to "what works". Extending RCT results requires establishing that study samples and settings are representative of the intended target. Although widely recognised as…

This article addresses the gap between what works in research and what works in practice. Currently, research in evidence-based education policy and practice focuses on randomized controlled trials. These can support causal ascriptions ("It worked") but provide little basis for local effectiveness predictions ("It will work…

The purpose of this study was to examine the relationship between the implementation phase of the DuFour model of professional learning communities (PLCs) and students' achievement. A survey was emailed via Qualtrics to elementary principals throughout the Minnesota Elementary Principals' Association's (MESPA) central, northern, northeast, west,…

The current study examined the impact of experiencing either a guided play or direct instruction learning environment on causal learning, curiosity, and divergent thinking. Forty-three children (age 4- to 6-years) participated in an online experiment in which they completed a causal learning task in either guided play or direct instruction…