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Myoung-jae Lee; Goeun Lee; Jin-young Choi – Sociological Methods & Research, 2025
A linear model is often used to find the effect of a binary treatment D on a noncontinuous outcome Y with covariates X. Particularly, a binary Y gives the popular "linear probability model (LPM)," but the linear model is untenable if X contains a continuous regressor. This raises the question: what kind of treatment effect does the…
Descriptors: Probability, Least Squares Statistics, Regression (Statistics), Causal Models
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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)
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Kenneth A. Frank; Qinyun Lin; Spiro J. Maroulis – Grantee Submission, 2024
In the complex world of educational policy, causal inferences will be debated. As we review non-experimental designs in educational policy, we focus on how to clarify and focus the terms of debate. We begin by presenting the potential outcomes/counterfactual framework and then describe approximations to the counterfactual generated from the…
Descriptors: Causal Models, Statistical Inference, Observation, Educational Policy
Thoemmes, Felix; Liao, Wang; Jin, Ze – Journal of Educational and Behavioral Statistics, 2017
This article describes the analysis of regression-discontinuity designs (RDDs) using the R packages rdd, rdrobust, and rddtools. We discuss similarities and differences between these packages and provide directions on how to use them effectively. We use real data from the Carolina Abecedarian Project to show how an analysis of an RDD can be…
Descriptors: Regression (Statistics), Research Design, Robustness (Statistics), Computer Software
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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
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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
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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
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Splett, Joni W.; Trainor, Kathryn M.; Raborn, Anthony; Halliday-Boykins, Colleen A.; Garzona, Marlene E.; Dongo, Melissa D.; Weist, Mark D. – Behavioral Disorders, 2018
Despite schools increasingly adopting multitiered systems of support (MTSS) for prevention and intervention of mental health concerns, many are slow to adopt universal mental health screening (UMHS), a core MTSS feature, due to concerns about their limited capacity to meet the needs of all identified. In this study, we examined differences in the…
Descriptors: Comparative Analysis, Child Behavior, Rating Scales, Mental Health
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Mahoney, Gerald; Solomon, Richard – Journal of Autism and Developmental Disorders, 2016
This investigation is a secondary analysis of data from a randomized control trial of the PLAY Home Consultation Intervention Program which was conducted with 112 preschool children with Autism Spectrum Disorders and their parents (Solomon et al. in "J Dev Behav Pediatr" 35:475-485, 2014). Subjects were randomly assigned to either a…
Descriptors: Preschool Children, Autism, Pervasive Developmental Disorders, Early Intervention
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Wong, Venus W.; Ruble, Lisa A.; Yu, Yue; McGrew, John H. – Exceptional Children, 2017
Teacher stress and burnout have a detrimental effect on the stability of the teaching workforce. However, the possible consequences of teacher burnout on teaching quality and on student learning outcomes are less clear, especially in special education settings. We applied Maslach and Leiter's (1999) model to understand the direct effects of…
Descriptors: Teacher Burnout, Educational Quality, Stress Variables, Special Education
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Schochet, Peter Z. – Society for Research on Educational Effectiveness, 2013
In randomized control trials (RCTs) of educational interventions, there is a growing literature on impact estimation methods to adjust for missing student outcome data using such methods as multiple imputation, the construction of nonresponse weights, casewise deletion, and maximum likelihood methods (see, for example, Allison, 2002; Graham, 2009;…
Descriptors: Control Groups, Experimental Groups, Educational Research, Data Analysis
Pearson, Donna; Richardson, George B.; Sawyer, Jennifer M. – National Research Center for Career and Technical Education, 2013
This report contains the findings of the Oregon Applied Academics research and development project which spanned three academic years from 2010 through 2013. The overall purpose of the project was to develop and implement a technical math course that would meet graduation requirements and improve student performance. The State of Oregon has been…
Descriptors: Career Education, Technical Education, Mathematics Instruction, Graduation Requirements