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Fernandes, Filipe Arantes; Rodrigues, Claudia Susie Camargo; Teixeira, Eldanae Nogueira; Werner, Claudia M. L. – IEEE Transactions on Learning Technologies, 2023
Contribution: This secondary study examines the literature on immersive learning frameworks and reviews their state of the art. Frameworks have been categorized according to their purpose. In addition, the elements that compose them were also categorized. Some gaps were identified and proposed as a research roadmap. Background: Immersive…
Descriptors: Educational Technology, Technology Uses in Education, Computer Simulation, Definitions
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Cheng, Patricia W.; Sandhofer, Catherine M.; Liljeholm, Mimi – Cognitive Science, 2022
The present paper examines a type of abstract domain-general knowledge required for the process of constructing useable domain-specific causal knowledge, the evident goal of causal learning. It tests the hypothesis that analytic knowledge of "causal-invariance decomposition functions" is essential for this process. Such knowledge…
Descriptors: Preschool Children, Learning Processes, Generalization, Heuristics
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Myoung-jae Lee; Goeun Lee; Jin-young Choi – Sociological Methods & Research, 2025
A linear model is often used to find the effect of a binary treatment D on a noncontinuous outcome Y with covariates X. Particularly, a binary Y gives the popular "linear probability model (LPM)," but the linear model is untenable if X contains a continuous regressor. This raises the question: what kind of treatment effect does the…
Descriptors: Probability, Least Squares Statistics, Regression (Statistics), Causal Models
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Nicholas D. Myers; Ahnalee M. Brincks; Seungmin Lee – Measurement in Physical Education and Exercise Science, 2025
Physical activity (PA) promotion is an ideal intervention target for public health because it has the potential to help individuals feel better, sleep better, and perform daily tasks more easily, in addition to providing disease prevention benefits. There is strong evidence that individual-level theory-based behavioral interventions are effective…
Descriptors: Physical Activity Level, Intervention, Program Effectiveness, Adults
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Çagatay Tunca; Ibrahim Hakan Güllü; Saadet Demirtas Inci; Kamuran Kalkan; Ruken Demirkol Tunca; Aysegül Efe; Ayse Nur Özkaya Ibis; Alperen Tas; Mehmet Taha Özkan; Veysel Ozan Tanik; Orçun Ortaköylü; Nail Burak Özbeyaz – Journal of Attention Disorders, 2025
Objective: ADHD is one of the most common neurodevelopmental disorders, seen in children and adolescents, and is often treated with various pharmacological agents, especially methylphenidate. There are differing opinions in the literature regarding the cardiovascular safety of long-term methylphenidate use. Studies suggest that the drug may…
Descriptors: Late Adolescents, Young Adults, Attention Deficit Hyperactivity Disorder, Heart Disorders
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Charlotte Z. Mann; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2025
Combining observational and experimental data for causal inference can improve treatment effect estimation. However, many observational data sets cannot be released due to data privacy considerations, so one researcher may not have access to both experimental and observational data. Nonetheless, a small amount of risk of disclosing sensitive…
Descriptors: Causal Models, Statistical Analysis, Privacy, Risk
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Adam N. Glynn; Miguel R. Rueda; Julian Schuessler – Sociological Methods & Research, 2024
Post-instrument covariates are often included as controls in instrumental variable (IV) analyses to address a violation of the exclusion restriction. However, we show that such analyses are subject to biases unless strong assumptions hold. Using linear constant-effects models, we present asymptotic bias formulas for three estimators (with and…
Descriptors: Causal Models, Statistical Inference, Error of Measurement, Least Squares Statistics
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Joshua Weidlich; Ben Hicks; Hendrik Drachsler – Educational Technology Research and Development, 2024
Researchers tasked with understanding the effects of educational technology innovations face the challenge of providing evidence of causality. Given the complexities of studying learning in authentic contexts interwoven with technological affordances, conducting tightly-controlled randomized experiments is not always feasible nor desirable. Today,…
Descriptors: Educational Research, Educational Technology, Research Design, Structural Equation Models
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Xiao Liu; Lijuan Wang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
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…
Descriptors: Causal Models, Mediation Theory, Psychological Studies, Educational Research
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Jason Giersch – Journal of Student Affairs Research and Practice, 2024
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…
Descriptors: Political Attitudes, Bias, Student Government, School Newspapers
Breno Braga; Justin B. Doromal; Erica Greenberg; Tomas Monarrez; Leonardo Restrepo; Rachel Lamb – Annenberg Institute for School Reform at Brown University, 2024
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…
Descriptors: Preschool Education, Equal Education, Preschool Children, Toddlers
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Sarah E. Robertson; Jon A. Steingrimsson; Issa J. Dahabreh – Evaluation Review, 2024
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…
Descriptors: Randomized Controlled Trials, Generalization, Inferences, Hierarchical Linear Modeling
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Rita Aryani; Widodo Widodo; Susila Susila – Cogent Education, 2024
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…
Descriptors: Interpersonal Competence, Foreign Countries, Teacher Education, Self Efficacy
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David Byrne – International Journal of Social Research Methodology, 2024
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…
Descriptors: Personal Autonomy, Social Sciences, Causal Models, Social Change
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Peter Schochet – Society for Research on Educational Effectiveness, 2024
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…
Descriptors: Statistical Analysis, Computation, Causal Models, Research Design
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