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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
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
Tasca, Giorgio A.; Lampard, Amy M. – Journal of Counseling Psychology, 2012
The nature of the alliance-outcome relationship is still emerging. This study examined the reciprocal influence of change in alliance to the group and change in urge to restrict in eating-disordered individuals attending a group-based day treatment. Participants (N = 238) were a transdiagnostic or mixed diagnostic sample of eating-disordered…
Descriptors: Eating Disorders, Causal Models, Patients, Group Therapy
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
Schochet, Peter Z.; Puma, Mike; Deke, John – National Center for Education Evaluation and Regional Assistance, 2014
This report summarizes the complex research literature on quantitative methods for assessing how impacts of educational interventions on instructional practices and student learning differ across students, educators, and schools. It also provides technical guidance about the use and interpretation of these methods. The research topics addressed…
Descriptors: Statistical Analysis, Evaluation Methods, Educational Research, Intervention
Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2009
This paper examines the estimation of two-stage clustered RCT designs in education research using the Neyman causal inference framework that underlies experiments. The key distinction between the considered causal models is whether potential treatment and control group outcomes are considered to be fixed for the study population (the…
Descriptors: Control Groups, Causal Models, Statistical Significance, Computation
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