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Kim, Yongnam; Steiner, Peter M.; Hall, Courtney E.; Su, Dan – Society for Research on Educational Effectiveness, 2016
Experimental and quasi-experimental designs play a central role in estimating cause-effect relationships in education, psychology, and many other fields of the social and behavioral sciences. This paper presents and discusses the causal graphs of experimental and quasi-experimental designs. For quasi-experimental designs the authors demonstrate…
Descriptors: Graphs, Quasiexperimental Design, Randomized Controlled Trials, Regression (Statistics)
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Pimdee, Paitoon – International Journal of Instruction, 2021
Having its originations in the 1987 UN Brundtland Report and the 1994 Oslo Symposium for sustainable consumption and production (SCP), education for sustainable development (ESD) has taken on global importance. As such, the study's author sought to examine the causal relationships on sustainable consumption behaviour (SCB) of Thai student science…
Descriptors: Correlation, Causal Models, Sustainable Development, Environmental Education
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Thoemmes, Felix – International Journal of Behavioral Development, 2015
Testing of directional dependence is a method to infer causal direction that recently has attracted some attention. Previous examples by e.g. von Eye and DeShon (2012a) and extensive simulation studies by Pornprasertmanit and Little (2012) have demonstrated that under specific assumptions, directional-dependence tests can recover the true causal…
Descriptors: Correlation, Predictor Variables, Influences, Regression (Statistics)
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McCoach, D. Betsy; Kenny, David A. – Measurement: Interdisciplinary Research and Perspectives, 2014
In this commentary, Betsy McCoach and David Kenny state they are in general agreement with Bainter and Bollen (this issue) that causal indicators are not inherently unstable. Herein, they outline several similarities and differences between latent variables with reflective and causal indicators. In their examination of the two models, they find…
Descriptors: Causal Models, Statistical Analysis, Measurement
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Kapusuzoglu, Saduman; Dilekci, Umit – Universal Journal of Educational Research, 2017
The purpose of the study is to develop the Artistic Supervision Model Scale in accordance with the perception of inspectors and the elementary and secondary school teachers on artistic supervision. The lack of a measuring instrument related to the model of artistic supervision in the field of literature reveals the necessity of such study. 290…
Descriptors: Supervision, Foreign Countries, Factor Analysis, Elementary School Teachers
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Bao, Lei; Koenig, Kathleen; Xiao, Yang; Fritchman, Joseph; Zhou, Shaona; Chen, Cheng – Physical Review Physics Education Research, 2022
Abilities in scientific thinking and reasoning have been emphasized as core areas of initiatives, such as the Next Generation Science Standards or the College Board Standards for College Success in Science, which focus on the skills the future will demand of today's students. Although there is rich literature on studies of how these abilities…
Descriptors: Physics, Science Instruction, Teaching Methods, Thinking Skills
Theresa Marie Taddeo – ProQuest LLC, 2020
Two out of every three special education teachers leave teaching within the first five years. Veteran teachers who stay possess characteristics that sustain them even when faced with difficulties; they are more resilient. Teacher resilience is the ability to cope with difficult situations and to not allow difficulties to deter the desire to teach.…
Descriptors: Preservice Teacher Education, Preservice Teachers, Beginning Teachers, Experienced Teachers
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Quintana, Rafael – Sociological Methods & Research, 2023
Causal search algorithms have been effectively applied in different fields including biology, genetics, climate science, medicine, and neuroscience. However, there have been scant applications of these methods in social and behavioral sciences. This article provides an illustrative example of how causal search algorithms can shed light on…
Descriptors: Academic Achievement, Causal Models, Algorithms, Social Problems
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Juan Camilo Cristancho; Carolina Maldonado-Carreño; Drew Bailey; Greg Duncan; Ervyn Norza – Society for Research on Educational Effectiveness, 2023
Background/context: Exposure to community-level violence in childhood is a strong predictor of developmental and cognitive outcomes. Several systematic reviews, as well as meta-analysis have documented how being exposed to violent crimes in developed and developing countries predicts externalizing and internalizing symptoms (Löfving-Gupta, et al.,…
Descriptors: Foreign Countries, Violence, Victims of Crime, Environmental Influences
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Hitchcock, John H.; Johnson, R. Burke; Schoonenboom, Judith – Research in the Schools, 2018
The central purpose of this article is to provide an overview of the many ways in which special educators can generate and think about causal inference to inform policy and practice. Consideration of causality across different lenses can be carried out by engaging in multiple method and mixed methods ways of thinking about inference. This article…
Descriptors: Causal Models, Statistical Inference, Special Education, Educational Research
Peng Ding; Fan Li – Grantee Submission, 2018
Inferring causal effects of treatments is a central goal in many disciplines. The potential outcomes framework is a main statistical approach to causal inference, in which a causal effect is defined as a comparison of the potential outcomes of the same units under different treatment conditions. Because for each unit at most one of the potential…
Descriptors: Attribution Theory, Causal Models, Statistical Inference, Research Problems
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Nawani, Jigna; von Kotzebue, Lena; Spangler, Michael; Neuhaus, Birgit J. – Journal of Biological Education, 2019
Constructing scientific explanations of natural phenomena is an important aim of science education. Explanation oriented science teaching approaches encourage learners to engage in sense-making discussions and construct the causal accounts of the phenomena under study. This article demonstrates a lesson-design model that guides biology teachers on…
Descriptors: Biology, Scientific Concepts, Concept Formation, Science Instruction
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Mealli, Fabrizia; Pacini, Barbara; Stanghellini, Elena – Journal of Educational and Behavioral Statistics, 2016
Unless strong assumptions are made, nonparametric identification of principal causal effects can only be partial and bounds (or sets) for the causal effects are established. In the presence of a secondary outcome, recent results exist to sharpen the bounds that exploit conditional independence assumptions. More general results, though not embedded…
Descriptors: Graphs, Nonparametric Statistics, Causal Models, Statistical Analysis
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Songkram, Noawanit; Chootongchai, Suparoek – Education and Information Technologies, 2020
In today's society, innovation and creativity are needed in many areas, Unfortunately, graduated students miss out on employment opportunities due to a lack of creativity (Bateman 2013). Base on literature review, classroom observation and administrator s' feedback, there are three areas to support student 's creativity: Learner Engagement,…
Descriptors: Educational Technology, Technology Uses in Education, Teaching Methods, Educational Innovation
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Huber, Stephan Gerhard; Helm, Christoph – Educational Assessment, Evaluation and Accountability, 2020
The crisis caused by the COVID-19 virus has far-reaching effects in the field of education, as schools were closed in March 2020 in many countries around the world. In this article, we present and discuss the School Barometer, a fast survey (in terms of reaction time, time to answer and dissemination time) that was conducted in Germany, Austria…
Descriptors: Disease Control, School Closing, Educational Policy, Surveys
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