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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
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
Afeez Jinadu; Eugenia Okwilagwe – International Journal of Research in Education and Science, 2025
The study investigated the structural equation modelling of nine variables consisting of research undertaking, digi-tech construct (digital nativity, category of adoption of digital technologies, digital literacy, digital citizenship, statistical software anxiety, self-efficacy and knowledge) and researcher statistical software skills in the…
Descriptors: Statistical Analysis, Computer Software, Structural Equation Models, Foreign Countries
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
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
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
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
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
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
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
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
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
Xiaohui Luo; Yueqin Hu – Structural Equation Modeling: A Multidisciplinary Journal, 2024
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…
Descriptors: Structural Equation Models, Longitudinal Studies, Data Analysis, Causal Models
Quoc Hoa Tran-Duong – Cambridge Journal of Education, 2024
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…
Descriptors: Cognitive Mapping, Causal Models, Prior Learning, Elementary School Students

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