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Gibbons, Rebecca E.; Xu, Xiaoying; Villafañe, Sachel M.; Raker, Jeffrey R. – Educational Psychology, 2018
Affective factors such as the achievement emotions are considered critical for students' academic performance in STEM degree programmes and careers. In this study, a reciprocal causation model was tested between two affective factors: enjoyment and anxiety, and organic chemistry course performance. Each variable was measured three times in four…
Descriptors: Causal Models, Affective Behavior, Psychological Patterns, Anxiety
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Bozzay, Melanie L.; O'Leary, Kimberly N.; De Nadai, Alessandro S.; Gryglewicz, Kim; Romero, Gabriela; Karver, Marc S. – Journal of Deaf Studies and Deaf Education, 2017
The present study examined differences in symptom presentation in screening for pediatric depression via evaluation of the Patient Health Questionnaire-9 (PHQ-9). In particular, we examined whether PHQ-9 items function differentially among deaf and hard-of-hearing (DHH; n = 75) and hearing (n = 75) youth based on participants recruited from crisis…
Descriptors: Adolescents, Depression (Psychology), Symptoms (Individual Disorders), Deafness
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Lakusta, Laura; Muentener, Paul; Petrillo, Lauren; Mullanaphy, Noelle; Muniz, Lauren – Cognitive Science, 2017
Previous studies have shown a robust bias to express the goal path over the source path when describing events ("the bird flew into the pitcher," rather than "… out of the bucket into the pitcher"). Motivated by linguistic theory, this study manipulated the causal structure of events (specifically, making the source cause the…
Descriptors: Linguistic Theory, Motion, Preschool Children, English
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Keele, Luke – American Journal of Evaluation, 2015
In policy evaluations, interest may focus on why a particular treatment works. One tool for understanding why treatments work is causal mediation analysis. In this essay, I focus on the assumptions needed to estimate mediation effects. I show that there is no "gold standard" method for the identification of causal mediation effects. In…
Descriptors: Mediation Theory, Causal Models, Inferences, Path Analysis
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Hitchcock, John H.; Kratochwill, Thomas R.; Chezan, Laura C. – Journal of Behavioral Education, 2015
A recent review of existing rubrics designed to help researchers evaluate the internal and external validity of single-case design (SCD) studies found that the various options yield consistent results when examining causal arguments. The authors of the review, however, noted considerable differences across the rubrics when addressing the…
Descriptors: Scoring Rubrics, Generalization, Research Methodology, Review (Reexamination)
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Maggin, Daniel M. – Journal of Behavioral Education, 2015
This paper responds to the commentary provided by Hitchcock et al. "(Journal of Behavioral Education," 2015) which provides updated information on the procedures for considering the generality of an intervention using the "What Works Clearinghouse" (WWC) single-case guidelines. The new information provided by Hitchcock et al.…
Descriptors: Scoring Rubrics, Generalization, Research Methodology, Review (Reexamination)
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Thiem, Alrik – Sociological Methods & Research, 2015
In a recent contribution to "Sociological Methods & Research," Baumgartner and Epple (B&E) employ Coincidence Analysis (CNA) to explain the outcome of the vote on the Swiss minaret initiative of 2009. Although the authors also present a substantive argument, their principal objective is to prove the superiority of CNA over…
Descriptors: Qualitative Research, Causal Models, Evaluation Methods, Differences
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Waismeyer, Anna; Meltzoff, Andrew N.; Gopnik, Alison – Developmental Science, 2015
How do young children learn about causal structure in an uncertain and variable world? We tested whether they can use observed probabilistic information to solve causal learning problems. In two experiments, 24-month-olds observed an adult produce a probabilistic pattern of causal evidence. The toddlers then were given an opportunity to design…
Descriptors: Toddlers, Young Children, Probability, Causal Models
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Ding, Peng; Feller, Avi; Miratrix, Luke – Society for Research on Educational Effectiveness, 2015
Recent literature has underscored the critical role of treatment effect variation in estimating and understanding causal effects. This approach, however, is in contrast to much of the foundational research on causal inference. Linear models, for example, classically rely on constant treatment effect assumptions, or treatment effects defined by…
Descriptors: Causal Models, Randomized Controlled Trials, Statistical Analysis, Evaluation Methods
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Dempsey, Patrick R.; Zhang, Jie – Online Learning, 2019
Despite the prevalence of research on the Community of Inquiry framework and its associated measurement instrument, more research is needed to re-evaluate the factor structure, study the effects of covariates or measurement invariance, and explore the relationships among the three presences. Results of this study indicated that (a) teaching,…
Descriptors: Communities of Practice, Inquiry, Construct Validity, Factor Structure
Office of Inspector General, US Department of Education, 2023
In accordance with the Reports Consolidation Act of 2000, the OIG reports annually on the most serious management and performance challenges the Department faces. For FY 2024, we identified seven management challenges for the Department: (1) Implementing pandemic relief laws for elementary and secondary education; (2) Implementing pandemic relief…
Descriptors: Federal Programs, Educational Finance, Student Financial Aid, Pandemics
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Kraft, Matthew A.; Blazar, David; Hogan, Dylan – Review of Educational Research, 2018
Teacher coaching has emerged as a promising alternative to traditional models of professional development. We review the empirical literature on teacher coaching and conduct meta-analyses to estimate the mean effect of coaching programs on teachers' instructional practice and students' academic achievement. Combining results across 60 studies that…
Descriptors: Coaching (Performance), Faculty Development, Meta Analysis, Teacher Competencies
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Motz, Benjamin A.; Carvalho, Paulo F.; de Leeuw, Joshua R.; Goldstone, Robert L. – Journal of Learning Analytics, 2018
To identify the ways teachers and educational systems can improve learning, researchers need to make causal inferences. Analyses of existing datasets play an important role in detecting causal patterns, but conducting experiments also plays an indispensable role in this research. In this article, we advocate for experiments to be embedded in real…
Descriptors: Causal Models, Statistical Inference, Inferences, Educational Experiments
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Wendell, Joakim – Curriculum Journal, 2018
The topic of this study is how Swedish students aged 15-16 use causal reasoning in history when given a high-stakes task about explaining a historically significant event, the rise of the Nazi regime in Germany. The study is based on student texts from the Swedish national test in history. The student texts are mainly analysed with regards to how…
Descriptors: Foreign Countries, History Instruction, Standardized Tests, Causal Models
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Shaked, Haim; Schechter, Chen – Journal of School Leadership, 2016
Systems thinking, a framework for seeing the whole, is an effective means of dealing with real-world problems. This study explored the sources of systems thinking in school leadership. Qualitative data were collected via 82 semistructured interviews and 6 focus groups, among pre-service principals, novice principals and experienced principals.…
Descriptors: Foreign Countries, Principals, Instructional Leadership, Systems Approach
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