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Cortney DiRussa; Samantha Coyle-Eastwick; Britney Jeyanayagam – International Journal of Bullying Prevention, 2025
Bullying victimization is a school problem that warrants attention. While most work has focused on understanding bullies and victims, it is important that research explore how to promote bystander behavior during bullying as a mechanism to deter bullying in schools. Perceptions of the school climate may impact the likelihood of a student's…
Descriptors: Bullying, Intervention, Middle School Students, Prevention
Prihar, Ethan; Vanacore, Kirk; Sales, Adam; Heffernan, Neil – International Educational Data Mining Society, 2023
There is a growing need to empirically evaluate the quality of online instructional interventions at scale. In response, some online learning platforms have begun to implement rapid A/B testing of instructional interventions. In these scenarios, students participate in series of randomized experiments that evaluate problem-level interventions in…
Descriptors: Electronic Learning, Intervention, Instructional Effectiveness, Data Collection
Sierra Castedo de Martell; Lori Holleran Steiker; Andrew Springer; Jeffery Jones; Emily Eisenhart; H. Shelton Brown III – Journal of American College Health, 2024
Objective: To conduct a preliminary cost-effectiveness analysis of collegiate recovery programs in the United States and to create a tailorable cost-effectiveness calculator based on the preliminary cost-effectiveness model. Methods: Cost-effectiveness was assessed with a base case, one-way sensitivity analyses, and probabilistic sensitivity…
Descriptors: Cost Effectiveness, College Students, Substance Abuse, Drug Rehabilitation
Rosa W. Runhardt – Sociological Methods & Research, 2024
This article uses the interventionist theory of causation, a counterfactual theory taken from philosophy of science, to strengthen causal analysis in process tracing research. Causal claims from process tracing are re-expressed in terms of so-called hypothetical interventions, and concrete evidential tests are proposed which are shown to…
Descriptors: Causal Models, Statistical Inference, Intervention, Investigations
Caroline Bond; Vanessa Evans; Neil Humphrey – Journal of Research in Special Educational Needs, 2024
Schools are increasingly encouraged to adopt evidence-based or evidence informed interventions and implement them using insights from implementation science. The literature relating to implementation of interventions in schools has focused largely on universal interventions, particularly for social and emotional learning (SEL), which are designed…
Descriptors: Social Emotional Learning, Intervention, Program Implementation, Comparative Analysis
Judith Dyson; Chris Westoby; Tina Collins; Edlira Vakaj; Cindy Millman; Yemisi Akinbobola; James Skinner; Esther Windsor; Fiona Cowdell – International Journal for Academic Development, 2025
Academics in Higher Education are often expected both to teach and to research; this is a particular challenge for women both structurally and individually. Initiatives to address structural issues include AdvanceHE. Here, we focus on individual issues and report on the Programme for Women Achieving Excellence in Research, a theory-based…
Descriptors: Women Faculty, Intervention, Research, Barriers
Sarah J. Hatteberg; Christy Kollath-Cattano – Journal of American College Health, 2024
Objective: Amidst the COVID-19 pandemic, colleges worked to minimize transmission through non-pharmaceutical interventions (NPIs). The objective of this study was to apply the Health Belief Model to assess correlates of US college students' early stage NPI uptake. Participants: Sample includes 1,223 students from a medium-sized university who…
Descriptors: College Students, Health Behavior, COVID-19, Pandemics
Smith, Bevan I.; Chimedza, Charles; Bührmann, Jacoba H. – Education and Information Technologies, 2022
Although using machine learning for predicting which students are at risk of failing a course is indeed valuable, how can we identify which characteristics of individual students contribute to their being At-Risk? By characterising individual At-Risk students we could potentially advise on specific interventions or ways to reduce their probability…
Descriptors: Individualized Instruction, At Risk Students, Intervention, Models
Peter Z. Schochet – Journal of Educational and Behavioral Statistics, 2025
Random encouragement designs evaluate treatments that aim to increase participation in a program or activity. These randomized controlled trials (RCTs) can also assess the mediated effects of participation itself on longer term outcomes using a complier average causal effect (CACE) estimation framework. This article considers power analysis…
Descriptors: Statistical Analysis, Computation, Causal Models, Research Design
Kennedy Kam Ho Chan; David Siu Pan Lau; Jan van Driel – Science Education, 2025
Cultivating in preservice science teachers (PSTs) the competence required to teach scientific models and modeling is a valued outcome of teacher preparation programs. However, science teacher educators face inherent tensions when designing and implementing teacher preparation experiences to achieve this outcome. In this systematic review, we first…
Descriptors: Preservice Teachers, Teacher Education, Teacher Educators, Science Teachers
Enna Wang; Junjie Zhang; Xian Peng; Hongyan Li; Chenguang Teng; Biao Zeng – British Journal of Guidance & Counselling, 2024
This study introduced Satir Growth Model (SGM) into career intervention to enhance Chinese college freshmen's career adaptability. The effect of SGM-based career intervention was examined by the randomised controlled trial design. Results indicated that the experimental group experienced a significant increase in career exploration and career…
Descriptors: Foreign Countries, College Freshmen, Vocational Adjustment, Career Exploration
George Gyamfi; Barbara E. Hanna; Hassan Khosravi – Educational Technology Research and Development, 2024
While the provision of peer feedback has been widely recommended to enhance learning, many students are inexperienced in this area and would benefit from guidance. This study therefore examines the impact of instructions and examples on the quality of feedback provided by students on peer-developed learning resources produced via an online system,…
Descriptors: Feedback (Response), Peer Relationship, Educational Resources, Models
Bixi Zhang; Wolfgang Wiedermann – Society for Research on Educational Effectiveness, 2022
Background: Studying causal effects is an important aim in education. Causal relationships indicate how well implements (e.g., interventions) work for the target subjects. A good strategy to get the inference in such relationships is to conduct randomized experiments. However, random assignment is limited in education research, even is discouraged…
Descriptors: Statistical Analysis, Causal Models, Algorithms, Simulation
James Soland – Journal of Research on Educational Effectiveness, 2024
When randomized control trials are not possible, quasi-experimental methods often represent the gold standard. One quasi-experimental method is difference-in-difference (DiD), which compares changes in outcomes before and after treatment across groups to estimate a causal effect. DiD researchers often use fairly exhaustive robustness checks to…
Descriptors: Item Response Theory, Testing, Test Validity, Intervention
Justin Boutilier; Jonas Jonasson; Hannah Li; Erez Yoeli – Society for Research on Educational Effectiveness, 2024
Background: Randomized controlled trials (RCTs), or experiments, are the gold standard for intervention evaluation. However, the main appeal of RCTs--the clean identification of causal effects--can be compromised by interference, when one subject's actions can influence another subject's behavior or outcomes. In this paper, we formalize and study…
Descriptors: Randomized Controlled Trials, Intervention, Mathematical Models, Interference (Learning)