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No Child Left Behind Act 20011
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Baumgartner, Michael; Ambühl, Mathias – Sociological Methods & Research, 2023
Consistency and coverage are two core parameters of model fit used by configurational comparative methods (CCMs) of causal inference. Among causal models that perform equally well in other respects (e.g., robustness or compliance with background theories), those with higher consistency and coverage are typically considered preferable. Finding the…
Descriptors: Causal Models, Evaluation Methods, Goodness of Fit, Scores
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Elaine Chiu – Society for Research on Educational Effectiveness, 2024
Background: Observation Studies, Unmeasured Confounding, and Sensitivity Analysis: An important part of educational research is identifying important, potentially causal, factors that influence children's learning from observational studies. However, it is well-known that discovering such factors from observational studies can be biased due to…
Descriptors: Educational Research, Research Methodology, Attribution Theory, Learning Processes
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Kim, Yongnam; Steiner, Peter – Educational Psychologist, 2016
When randomized experiments are infeasible, quasi-experimental designs can be exploited to evaluate causal treatment effects. The strongest quasi-experimental designs for causal inference are regression discontinuity designs, instrumental variable designs, matching and propensity score designs, and comparative interrupted time series designs. This…
Descriptors: Quasiexperimental Design, Causal Models, Statistical Inference, Randomized Controlled Trials
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Williams, Joanna P.; Pollini, Simonne; Nubla-Kung, Abigail M.; Snyder, Anne E.; Garcia, Amaya; Ordynans, Jill G.; Atkins, J. Grant – Journal of Educational Psychology, 2014
This study evaluated the effectiveness of an intervention for second graders at risk for academic failure, which taught reading comprehension embedded in social studies content. The intervention included instruction about the structure of cause/effect expository text, emphasizing clue words, generic questions, graphic organizers, and close…
Descriptors: Reading Comprehension, Intervention, Elementary School Students, Grade 2
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Coffman, Donna L. – Structural Equation Modeling: A Multidisciplinary Journal, 2011
Mediation is usually assessed by a regression-based or structural equation modeling (SEM) approach that we refer to as the classical approach. This approach relies on the assumption that there are no confounders that influence both the mediator, "M", and the outcome, "Y". This assumption holds if individuals are randomly…
Descriptors: Structural Equation Models, Simulation, Regression (Statistics), Probability
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Ling, Guangming – ETS Research Report Series, 2012
To assess the value of individual students' subscores on the Major Field Test in Business (MFT Business), I examined the test's internal structure with factor analysis and structural equation model methods, and analyzed the subscore reliabilities using the augmented scores method. Analyses of the internal structure suggested that the MFT Business…
Descriptors: Factor Analysis, Construct Validity, Structural Equation Models, Correlation
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Corlu, M. Sencer – International Review of Education, 2014
There are two mainstream curricula for international school students at the junior high level: the International Baccalaureate (IB) Middle Years Programme (MYP) and the Cambridge International General Certificate of Secondary Education (IGCSE). The former was developed in the mid-1990s and is currently being relaunched in a 21st-century approach.…
Descriptors: Advanced Placement Programs, Junior High School Students, International Schools, Educational Change
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Wong, Manyee; Cook, Thomas D.; Steiner, Peter M. – Journal of Research on Educational Effectiveness, 2015
Some form of a short interrupted time series (ITS) is often used to evaluate state and national programs. An ITS design with a single treatment group assumes that the pretest functional form can be validly estimated and extrapolated into the postintervention period where it provides a valid counterfactual. This assumption is problematic. Ambiguous…
Descriptors: Evaluation Methods, Time, Federal Legislation, Educational Legislation
Laughlin, Sara Rose – ProQuest LLC, 2013
Inspiring and motivating students to pursue science, technology, engineering, and mathematics education continues to be an important educational focus in the United States. Robotics programs are one strategy developed to accomplish this goal. This causal comparative study focused on investigating whether a causal relationship exists between…
Descriptors: Robotics, Mathematics Instruction, Comparative Analysis, Causal Models
Rollins, Sarah E. – ProQuest LLC, 2013
Concern about the academic and social well-being of public education in the United States has been at the forefront of education reform. Increased class sizes, amended curriculum standards, and accountability standards have guided the way toward ways to reduce class sizes to meet the demands put upon educators. This study investigated the…
Descriptors: Academic Achievement, Scores, Socioeconomic Status, Educational Change
Karabatsos, George; Walker, Stephen G. – Society for Research on Educational Effectiveness, 2011
Karabatsos and Walker (2011) introduced a new Bayesian nonparametric (BNP) regression model. Through analyses of real and simulated data, they showed that the BNP regression model outperforms other parametric and nonparametric regression models of common use, in terms of predictive accuracy of the outcome (dependent) variable. The other,…
Descriptors: Bayesian Statistics, Regression (Statistics), Nonparametric Statistics, Statistical Inference
Valdez, Angela L. – ProQuest LLC, 2012
The number of English language learners (ELLs) within the school system in one Western U.S. state continues to rise; writing scores of ELLs lag well behind those of their English speaking peers. The purpose of this ex post facto quantitative causal comparative study was to examine the writing achievement of fourth grade ELLs instructed within a…
Descriptors: Writing Achievement, Bilingual Education, English Language Learners, Writing Evaluation
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Sovajassatakul, Thanongsak; Jitgarun, Kalayanee; Shinatrakool, Raveewan – Journal of College Teaching & Learning, 2011
The purpose of the study reported on in this paper was to identify and compare instructors' and students' perceptions of Team-Based Learning (TBL). Participants were 270 instructors and 288 fourth year students from the faculties of Industrial Education at six universities in Bangkok. The data were analyzed using factor analysis and structural…
Descriptors: Instructional Design, Industrial Education, Student Attitudes, Structural Equation Models
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers