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Paul T. von Hippel; Laura Bellows – Annenberg Institute for School Reform at Brown University, 2020
At least sixteen US states have taken steps toward holding teacher preparation programs (TPPs) accountable for teacher value-added to student test scores. Yet it is unclear whether teacher quality differences between TPPs are large enough to make an accountability system worthwhile. Several statistical practices can make differences between TPPs…
Descriptors: Teacher Effectiveness, Teacher Education Programs, Scores, Accountability
Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2017
Design-based methods have recently been developed as a way to analyze data from impact evaluations of interventions, programs, and policies. The impact estimators are derived using the building blocks of experimental designs with minimal assumptions, and have good statistical properties. The methods apply to randomized controlled trials (RCTs) and…
Descriptors: Design, Randomized Controlled Trials, Quasiexperimental Design, Research Methodology
Kautz, Tim; Schochet, Peter Z.; Tilley, Charles – National Center for Education Evaluation and Regional Assistance, 2017
A new design-based theory has recently been developed to estimate impacts for randomized controlled trials (RCTs) and basic quasi-experimental designs (QEDs) for a wide range of designs used in social policy research (Imbens & Rubin, 2015; Schochet, 2016). These methods use the potential outcomes framework and known features of study designs…
Descriptors: Design, Randomized Controlled Trials, Quasiexperimental Design, Research Methodology
Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2017
Design-based methods have recently been developed as a way to analyze data from impact evaluations of interventions, programs, and policies (Imbens and Rubin, 2015; Schochet, 2015, 2016). The estimators are derived using the building blocks of experimental designs with minimal assumptions, and are unbiased and normally distributed in large samples…
Descriptors: Design, Randomized Controlled Trials, Quasiexperimental Design, Research Methodology
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
Pelánek, Radek; Jarušek, Petr – International Journal of Artificial Intelligence in Education, 2015
Student modeling in intelligent tutoring systems is mostly concerned with modeling correctness of students' answers. As interactive problem solving activities become increasingly common in educational systems, it is useful to focus also on timing information associated with problem solving. We argue that the focus on timing is natural for certain…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Interaction, Problem Solving
Bloom, Howard S.; Porter, Kristin E.; Weiss, Michael J.; Raudenbush, Stephen – Society for Research on Educational Effectiveness, 2013
To date, evaluation research and policy analysis have focused mainly on average program impacts and paid little systematic attention to their variation. Recently, the growing number of multi-site randomized trials that are being planned and conducted make it increasingly feasible to study "cross-site" variation in impacts. Important…
Descriptors: Research Methodology, Policy, Evaluation Research, Randomized Controlled Trials
Mueller, Christoph Emanuel; Gaus, Hansjoerg; Rech, Joerg – American Journal of Evaluation, 2014
This article proposes an innovative approach to estimating the counterfactual without the necessity of generating information from either a control group or a before-measure. Building on the idea that program participants are capable of estimating the hypothetical state they would be in had they not participated, the basics of the Roy-Rubin model…
Descriptors: Research Design, Program Evaluation, Research Methodology, Models
Raudenbush, Stephen W.; Reardon, Sean F.; Nomi, Takako – Journal of Research on Educational Effectiveness, 2012
Multisite trials can clarify the average impact of a new program and the heterogeneity of impacts across sites. Unfortunately, in many applications, compliance with treatment assignment is imperfect. For these applications, we propose an instrumental variable (IV) model with person-specific and site-specific random coefficients. Site-specific IV…
Descriptors: Program Evaluation, Statistical Analysis, Hierarchical Linear Modeling, Computation
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
Stuart, Elizabeth A. – Educational Researcher, 2007
Education researchers, practitioners, and policymakers alike are committed to identifying interventions that teach students more effectively. Increased emphasis on evaluation and accountability has increased desire for sound evaluations of these interventions; and at the same time, school-level data have become increasingly available. This article…
Descriptors: Research Methodology, Computation, Causal Models, Intervention

Basarab, David J., Sr. – Evaluation Practice, 1990
A methodology for calculating the return on training investment is described. The method covers attitudes, knowledge, and behavior of participants as well as effectiveness in organizational improvement. Output, time savings, quality improvements, and "soft data" on effectiveness are set against costs. (TJH)
Descriptors: Behavior Change, Computation, Cost Effectiveness, Employee Attitudes