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No Child Left Behind Act 20011
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Showing 1 to 15 of 92 results Save | Export
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von Eye, Alexander; Wiedermann, Wolfgang; Herman, Keith C.; Reinke, Wendy – Prevention Science, 2023
In standard statistical data analysis, the effects of intervention or prevention efforts are evaluated in terms of variable relations. Results from application of regression-type methods suggest whether, overall, intervention is successful. In this article, we propose using configural frequency analysis (CFA) either in tandem with regression-type…
Descriptors: Intervention, Regression (Statistics), Data Analysis, Profiles
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Shabnam Ara S. J.; Tanuja Ramachandriah; Manjula S. Haladappa – Online Learning, 2025
Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…
Descriptors: Learning Analytics, Privacy, Artificial Intelligence, Regression (Statistics)
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Robert B. Olsen; Larry L. Orr; Stephen H. Bell; Elizabeth Petraglia; Elena Badillo-Goicoechea; Atsushi Miyaoka; Elizabeth A. Stuart – Journal of Research on Educational Effectiveness, 2024
Multi-site randomized controlled trials (RCTs) provide unbiased estimates of the average impact in the study sample. However, their ability to accurately predict the impact for individual sites outside the study sample, to inform local policy decisions, is largely unknown. To extend prior research on this question, we analyzed six multi-site RCTs…
Descriptors: Accuracy, Predictor Variables, Randomized Controlled Trials, Regression (Statistics)
von Eye, Alexander; Wiedermann, Wolfgang; Herman, Keith C.; Reinke, Wendy M. – Grantee Submission, 2021
In standard statistical data analysis, the effects of intervention or prevention efforts are evaluated in terms of variable relations. Results from application of regression-type methods suggest whether, overall, intervention is successful. In this article, we propose using configural frequency analysis (CFA) either in tandem with regression-type…
Descriptors: Intervention, Regression (Statistics), Data Analysis, Profiles
K. L. Anglin; A. Krishnamachari; V. Wong – Grantee Submission, 2020
This article reviews important statistical methods for estimating the impact of interventions on outcomes in education settings, particularly programs that are implemented in field, rather than laboratory, settings. We begin by describing the causal inference challenge for evaluating program effects. Then four research designs are discussed that…
Descriptors: Causal Models, Statistical Inference, Intervention, Program Evaluation
Joshua B. Gilbert – Annenberg Institute for School Reform at Brown University, 2022
This simulation study examines the characteristics of the Explanatory Item Response Model (EIRM) when estimating treatment effects when compared to classical test theory (CTT) sum and mean scores and item response theory (IRT)-based theta scores. Results show that the EIRM and IRT theta scores provide generally equivalent bias and false positive…
Descriptors: Item Response Theory, Models, Test Theory, Computation
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What Works Clearinghouse, 2022
Education decisionmakers need access to the best evidence about the effectiveness of education interventions, including practices, products, programs, and policies. It can be difficult, time consuming, and costly to access and draw conclusions from relevant studies about the effectiveness of interventions. The What Works Clearinghouse (WWC)…
Descriptors: Program Evaluation, Program Effectiveness, Standards, Educational Research
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Rottman, Benjamin M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
When testing which of multiple causes (e.g., medicines) works best, the testing sequence has important implications for the validity of the final judgment. Trying each cause for a period of time before switching to the other is important if the causes have tolerance, sensitization, delay, or carryover (TSDC) effects. In contrast, if the outcome…
Descriptors: Correlation, Causal Models, Beliefs, Intervention
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Allen, Summer; Marquart-Pyatt, Sandra T. – International Journal of Sustainability in Higher Education, 2018
Purpose: This research contributes to the literature on workplace energy conservation by examining the predictors of individual employee behaviors and policy support in a university. The purpose of this research is to better understand what factors influence energy conservation behaviors in this setting to inform programs and interventions.…
Descriptors: Work Environment, Energy Conservation, Universities, Self Efficacy
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Chitiyo, Jonathan; May, Michael E. – Preventing School Failure, 2018
The Schoolwide Positive Behavior Intervention Support model (SWPBIS) continues to gain widespread use across schools in the United States and abroad. Despite its widespread implementation, little research has examined factors that influence its sustainability. Informed by Rogers's diffusion theory, this study examined school personnel's…
Descriptors: Positive Behavior Supports, Behavior Modification, Intervention, Sustainability
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De Backer, Liesje; Van Keer, Hilde; Valcke, Martin – European Journal of Psychology of Education, 2017
The present study investigates collaborative learners' adoption of key regulation activities (i.e., orienting, planning, monitoring, and evaluating) and a deep-level regulation approach in relation to characteristics of their collaboration on the cognitive and communicative level. More specifically, the correlation of collaborative learners'…
Descriptors: Metacognition, Correlation, Peer Teaching, Cognitive Processes
Guinn, Cameron S. – ProQuest LLC, 2017
Public school teachers are required to have specialized training to appropriately address discipline problems and foster positive school culture. Despite good intentions, many teacher-training initiatives fall short of creating an unbiased school atmosphere. This study used data collected by the National Center for Educational Statistics through…
Descriptors: Public School Teachers, Correlation, Racial Factors, Ethnicity
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Levy, Michal; Gumpel, Thomas P. – Journal of School Violence, 2018
This study explores correlations between bystanders' intervention styles by means of the bullying circle model. Three aims were examined in this study. First, we reevaluated the number and type of bystander intervention styles in aggressive school incidents. Second, we examined the association between reports of relational aggression and…
Descriptors: Audiences, Intervention, Bullying, Prevention
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Rodríguez, Ana Carolina Reyes; Noriega, José Angel Vera; Cuervo, Angel Alberto Valdés – World Journal of Education, 2017
Research in recent years indicates that schools, and in particular teaching practices, play an essential role in preventing bullying. This study's aim is to investigate the direct and indirect relationships between permissive and direct intervention teacher practices, school support and bullying. In a non-probabilistic way, 386 (58.1%) boys and…
Descriptors: Educational Practices, Bullying, Intervention, Teacher Role
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Farmer, Elizabeth M. Z.; Seifert, Heather; Wagner, H. Ryan; Burns, Barbara J.; Murray, Maureen – Journal of Emotional and Behavioral Disorders, 2017
Group homes are a frequently used but controversial treatment setting for youth with mental health problems. Within the relatively sparse literature on group homes, there is some evidence that some models of treatment may be associated with more positive outcomes for youth. This article explores this possibility by examining differences across…
Descriptors: Outcomes of Treatment, Mental Health, Intervention, Youth
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