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Bufford, Teresa; Aralis, Hilary; Kataoka, Sheryl; Lee, Sung-Jae; Lavelle Trinh, Carla; Lester, Patricia – Prevention Science, 2023
Evidence-based health interventions are frequently translated into real-world settings where practical needs drive changes to intervention protocols. Due to logistical and resource constraints, these naturally arising adaptations are rarely assessed for comparative effectiveness using a randomized trial. Nevertheless, when observational data are…
Descriptors: Statistical Analysis, Intervention, Program Evaluation, Resilience (Psychology)
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Reichardt, Charles S. – American Journal of Evaluation, 2022
Evaluators are often called upon to assess the effects of programs. To assess a program effect, evaluators need a clear understanding of how a program effect is defined. Arguably, the most widely used definition of a program effect is the counterfactual one. According to the counterfactual definition, a program effect is the difference between…
Descriptors: Program Evaluation, Definitions, Causal Models, Evaluation Methods
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Bell, Stephen H.; Stapleton, David C.; Wood, Michelle; Gubits, Daniel – American Journal of Evaluation, 2023
A randomized experiment that measures the impact of a social policy in a sample of the population reveals whether the policy will work on average with universal application. An experiment that includes only the subset of the population that volunteers for the intervention generates narrower "proof-of-concept" evidence of whether the…
Descriptors: Public Policy, Policy Formation, Federal Programs, Social Services
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Blankenberger, Bob; Gehlhausen Anderson, Sophia; Lichtenberger, Eric – Research in Higher Education, 2021
Policymakers and institutional leaders in higher education too often make decisions based on descriptive data analyses or even anecdote when better analysis options could produce more nuanced and more valuable results. Employing the setting of higher education program evaluation at a midwestern regional public university, for this study we…
Descriptors: Evaluation Methods, Higher Education, Program Evaluation, Public Colleges
Benjamin Lu; Eli Ben-Michael; Avi Feller; Luke Miratrix – Journal of Educational and Behavioral Statistics, 2023
In multisite trials, learning about treatment effect variation across sites is critical for understanding where and for whom a program works. Unadjusted comparisons, however, capture "compositional" differences in the distributions of unit-level features as well as "contextual" differences in site-level features, including…
Descriptors: Statistical Analysis, Statistical Distributions, Program Implementation, Comparative Analysis
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Perez, Alexandra Lane; Evans, Carla – Applied Measurement in Education, 2023
New Hampshire's Performance Assessment of Competency Education (PACE) innovative assessment system uses student scores from classroom performance assessments as well as other classroom tests for school accountability purposes. One concern is that not having annual state testing may incentivize schools and teachers away from teaching the breadth of…
Descriptors: Grade 8, Competency Based Education, Evaluation Methods, Educational Innovation
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Akdere, Mesut; Jiang, Yeling; Lobo, Flavio Destri – European Journal of Training and Development, 2022
Purpose: As new technologies such as immersive and augmented platforms emerge, training approaches are also transforming. The virtual reality (VR) platform provides a completely immersive learning experience for simulated training. Despite increased prevalence of these technologies, the extent literature is lagging behind in terms of evaluating…
Descriptors: Training, Computer Simulation, Educational Technology, Program Evaluation
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Huang, Francis L. – Practical Assessment, Research & Evaluation, 2018
Among econometricians, instrumental variable (IV) estimation is a commonly used technique to estimate the causal effect of a particular variable on a specified outcome. However, among applied researchers in the social sciences, IV estimation may not be well understood. Although there are several IV estimation primers from different fields, most…
Descriptors: Computation, Statistical Analysis, Compliance (Psychology), Randomized Controlled Trials
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Rusticus, Shayna A.; Wilson, Derek; Jarus, Tal; O'Flynn-Magee, Kathy; Albon, Simon – Learning Environments Research, 2022
The desire to support student learning and professional development, in combination with accreditation requirements, necessitates the need to evaluate the learning environment of educational programs. The Health Education Learning Environment Survey (HELES) is a recently-developed global measure of the learning environment for health professions…
Descriptors: Medical Students, Student Attitudes, Allied Health Occupations Education, Educational Environment
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Bryan, Leah N.; Brener, Nancy; Barker, Lawrence; Lo, Annie; Underwood, J. Michael – Health Education Journal, 2021
Objective: After the discontinuation of School Health Policies and Practices Study (SHPPS) in 2016, the US Centers for Disease Control and Prevention (CDC) began exploring innovative ways to gather school health information using existing surveillance systems. School Health Profiles (Profiles) is a school-based system of surveys that monitors…
Descriptors: School Policy, School Health Services, State Agencies, Data Collection
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Barnow, Burt S.; Greenberg, David H. – American Journal of Evaluation, 2020
This paper reviews the use of multiple trials, defined as multiple sites or multiple arms in a single evaluation and replications, in evaluating social programs. After defining key terms, the paper discusses the rationales for conducting multiple trials, which include increasing sample size to increase statistical power; identifying the most…
Descriptors: Evaluation, Randomized Controlled Trials, Experiments, Replication (Evaluation)
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Hong, Guanglei; Qin, Xu; Yang, Fan – Journal of Educational and Behavioral Statistics, 2018
Through a sensitivity analysis, the analyst attempts to determine whether a conclusion of causal inference could be easily reversed by a plausible violation of an identification assumption. Analytic conclusions that are harder to alter by such a violation are expected to add a higher value to scientific knowledge about causality. This article…
Descriptors: Statistical Inference, Probability, Statistical Bias, Statistical Analysis
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Geuke, Gemma G. M.; Maric, Marija; Miocevic, Milica; Wolters, Lidewij H.; de Haan, Else – New Directions for Child and Adolescent Development, 2019
The major aim of this manuscript is to bring together two important topics that have recently received much attention in child and adolescent research, albeit separately from each other: single-case experimental designs and statistical mediation analysis. Single-case experimental designs (SCEDs) are increasingly recognized as a valuable…
Descriptors: Children, Adolescents, Research, Case Studies
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Larry L. Orr; Robert B. Olsen; Stephen H. Bell; Ian Schmid; Azim Shivji; Elizabeth A. Stuart – Journal of Policy Analysis and Management, 2019
Evidence-based policy at the local level requires predicting the impact of an intervention to inform whether it should be adopted. Increasingly, local policymakers have access to published research evaluating the effectiveness of policy interventions from national research clearinghouses that review and disseminate evidence from program…
Descriptors: Educational Policy, Evidence Based Practice, Intervention, Decision Making
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Lindsay M. Fallon; Emily R. DeFouw; Sadie C. Cathcart; Talia S. Berkman; Patrick Robinson-Link; Breda V. O'Keeffe; George Sugai – Journal of Behavioral Education, 2022
School discipline disproportionality has long been documented in educational research, primarily impacting Black/African American and non-White Hispanic/Latinx students. In response, federal policymakers have encouraged educators to change their disciplinary practice, emphasizing that more proactive support is critical to promoting students'…
Descriptors: Discipline, Student Behavior, Behavior Modification, Social Development
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