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Bloom, Howard S.; Raudenbush, Stephen W.; Weiss, Michael J.; Porter, Kristin – Journal of Research on Educational Effectiveness, 2017
The present article considers a fundamental question in evaluation research: "By how much do program effects vary across sites?" The article first presents a theoretical model of cross-site impact variation and a related estimation model with a random treatment coefficient and fixed site-specific intercepts. This approach eliminates…
Descriptors: Evaluation Research, Program Evaluation, Welfare Services, Employment
Strand Cary, Mari G.; Clarke, Ben; Doabler, Christian T.; Smolkowski, Keith; Fien, Hank; Baker, Scott K. – Learning Disability Quarterly, 2017
We report on a practitioner implementation of Fusion, a first-grade mathematics intervention. Studies such as this evaluation of a loose implementation under realistic conditions are important to curriculum developers' understanding of how evidence-based programs and tools work under a variety of implementation scenarios. In this…
Descriptors: Grade 1, Mathematics Instruction, Evidence Based Practice, Curriculum Development
Strand Cary, Mari G.; Clarke, Ben; Doabler, Christian T.; Smolkowski, Keith; Fien, Hank; Baker, Scott K. – Grantee Submission, 2017
We report on a practitioner implementation of Fusion, a first grade mathematics intervention. Studies such as this evaluation of a loose implementation under realistic conditions are important to curriculum developers' understanding of how evidence-based programs and tools work under a variety of implementation scenarios. In this…
Descriptors: Grade 1, Mathematics Instruction, Evidence Based Practice, Curriculum Development
Aydin, Burak; Leite, Walter L.; Algina, James – Educational and Psychological Measurement, 2016
We investigated methods of including covariates in two-level models for cluster randomized trials to increase power to detect the treatment effect. We compared multilevel models that included either an observed cluster mean or a latent cluster mean as a covariate, as well as the effect of including Level 1 deviation scores in the model. A Monte…
Descriptors: Error of Measurement, Predictor Variables, Randomized Controlled Trials, Experimental Groups
Lachapelle, Cathy P.; Brennan, Robert T. – International Journal of Education in Mathematics, Science and Technology, 2018
Engineers and policymakers have expressed concern that too few students enter the engineering pipeline. This has led to many efforts to engage students in engineering in after-school programs, summer programs, and more recently, in school curricula. The expectation is that, through these efforts, greater numbers of more demographically diverse…
Descriptors: Engineering Education, Student Interests, Student Attitudes, Engineering
Cho, Sun-Joo; Cohen, Allan S.; Bottge, Brian – Grantee Submission, 2013
A multilevel latent transition analysis (LTA) with a mixture IRT measurement model (MixIRTM) is described for investigating the effectiveness of an intervention. The addition of a MixIRTM to the multilevel LTA permits consideration of both potential heterogeneity in students' response to instructional intervention as well as a methodology for…
Descriptors: Intervention, Item Response Theory, Statistical Analysis, Models
Huston, Daniel C.; Garland, Eric L.; Farb, Norman A. S. – Journal of Applied Communication Research, 2011
Mindfulness, an ancient spiritual practice, is becoming an increasingly popular component of communication courses, training individuals to reserve judgment in their dealings with others. However, the effects of mindfulness in communication courses are not well researched. We compared students taking an introductory communication course that…
Descriptors: Control Groups, Student Attitudes, Perception, Metacognition

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