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Peng, Chao-Ying Joanne; Chen, Li-Ting – Education Sciences, 2021
Due to repeated observations of an outcome behavior in N-of-1 or single-case design (SCD) intervention studies, the occurrence of missing scores is inevitable in such studies. Approximately 21% of SCD articles published in five reputable journals between 2015 and 2019 exhibited evidence of missing scores. Missing rates varied by designs, with the…
Descriptors: Intervention, Program Evaluation, Scores, Incidence
Robert Shand; Stephen M. Leach; Fiona M. Hollands; Florence Chang; Yilin Pan; Bo Yan; Dena Dossett; Samreen Nayyer-Qureshi; Yixin Wang; Laura Head – Grantee Submission, 2022
We assessed whether an adaptation of value-added analysis (VAA) can provide evidence on the relative effectiveness of interventions implemented in a large school district. We analyzed two datasets, one documenting interventions received by underperforming students, and one documenting interventions received by students in schools benefiting from…
Descriptors: Value Added Models, Data Analysis, Program Evaluation, Program Effectiveness
Robert Shand; Stephen M. Leach; Fiona M. Hollands; Florence Chang; Yilin Pan; Bo Yan; Dena Dossett; Samreen Nayyer-Qureshi; Yixin Wang; Laura Head – American Journal of Evaluation, 2022
We assessed whether an adaptation of value-added analysis (VAA) can provide evidence on the relative effectiveness of interventions implemented in a large school district. We analyzed two datasets, one documenting interventions received by underperforming students, and one documenting interventions received by students in schools benefiting from…
Descriptors: Value Added Models, Data Analysis, Program Evaluation, Program Effectiveness
Jiang Li; Chen Zhu; Mark Goh – Research Evaluation, 2025
Data Envelopment Analysis (DEA) is a widely adopted non-parametric technique for evaluating R&D performance. However, traditional DEA models often struggle to provide reliable solutions in the presence of data uncertainty. To address this limitation, this study develops a novel robust super-efficiency DEA approach to evaluate R&D…
Descriptors: Foreign Countries, Research and Development, COVID-19, Pandemics
Stewart, Joshua; Joyce, Jeanette; Haines, Mckenzie; Yanoski, David; Gagnon, Douglas; Luke, Kyle; Rhoads, Christopher; Germeroth, Carrie – Regional Educational Laboratory Central, 2021
Program evaluation is important for assessing the implementation and outcomes of local, state, and federal programs. The Program Evaluation Toolkit provides tools and resources to support individuals responsible for evaluating and monitoring local, state, or federal programs. The toolkit comprises eight modules that cover critical steps in program…
Descriptors: Program Evaluation, Program Effectiveness, State Programs, Federal Programs
Corey Rosso – ProQuest LLC, 2022
This study sought to better understand present-day relationships between institutional and programmatic characteristics and their impact on student outcomes at postsecondary career and technical schools. This is critical given: (a) the existence of a significant middle-skills gap impacting the U.S. economy; (b) a lack of research and guidance for…
Descriptors: Institutional Characteristics, Outcomes of Education, Academic Achievement, Vocational Education
Corrin, William; Zhu, Pei; Shih, Miki; Brown, Kevin Thaddeus, Jr.; Teres, Jed; Darrow, Catherine; Nichols, Austin; Lack, Kelly – National Center for Education Evaluation and Regional Assistance, 2022
These are the appendices for the report "The Effects of an Academic Language Program on Student Reading Outcomes." This study investigated WordGen Elementary, a program designed to improve fourth- and fifth-grade students' ability to understand and communicate academic language and their general reading skill. The program provider…
Descriptors: Academic Language, Reading Programs, Program Effectiveness, Reading Achievement
Hallberg, Kelly; Williams, Ryan; Swanlund, Andrew – Journal of Research on Educational Effectiveness, 2020
More aggregate data on school performance is available than ever before, opening up new possibilities for applied researchers interested in assessing the effectiveness of school-level interventions quickly and at a relatively low cost by implementing comparative interrupted times series (CITS) designs. We examine the extent to which effect…
Descriptors: Data Use, Research Methodology, Program Effectiveness, Design
Stelmach, Rachel D.; Fitch, Elizabeth; Chen, Molly; Meekins, Meagan; Flueckiger, Rebecca M.; Colaço, Rajeev – American Journal of Evaluation, 2022
Monitoring, evaluation, and research activities generate important data, but they often fail to change policies or programs. In addition, local program staff and partners often feel disconnected from these activities, which undermines their ownership of data and results. To bridge the gaps between monitoring, evaluation, and research and to give…
Descriptors: Evidence Based Practice, Evaluation, Research, Global Approach
Broos, Tom; Pinxten, Maarten; Delporte, Margaux; Verbert, Katrien; De Laet, Tinne – Assessment & Evaluation in Higher Education, 2020
In this study, we present a case study involving two self-service dashboards providing feedback on learning and study skills and on academic achievement. These dashboards were offered to first-year university students in several study programmes in Flanders, Belgium. Data for this study were collected using usage tracking (N = 2875) and a survey…
Descriptors: Data Analysis, Learning Analytics, Dropout Prevention, Student Experience
Prasad, Vandita – ProQuest LLC, 2017
Career Technology Education (CTE) program evaluations have been mostly completed for compliance and monitoring purposes. Hence, they have limited use in establishing program effectiveness or for program improvement. Moreover, engaging in program evaluations can be time consuming and costly, especially for programs that have not been evaluated in…
Descriptors: Vocational Education, Program Evaluation, Readiness, Public Schools
Seftor, Neil – Regional Educational Laboratory, 2016
This short brief for education decision makers discusses three main factors that may contribute to a finding of no effects: failure of theory, failure of implementation, and failure of research design. It provides readers with questions to ask themselves to better understand "no effects" findings, and describes other contextual factors…
Descriptors: Research Design, Research Methodology, Program Evaluation, Program Effectiveness
Guarcello, Maureen A.; Levine, Richard A.; Beemer, Joshua; Frazee, James P.; Laumakis, Mark A.; Schellenberg, Stephen A. – Technology, Knowledge and Learning, 2017
Supplemental Instruction (SI) is a voluntary, non-remedial, peer-facilitated, course-specific intervention that has been widely demonstrated to increase student success, yet concerns persist regarding the biasing effects of disproportionate participation by already higher-performing students. With a focus on maintaining access for all students, a…
Descriptors: Peer Teaching, Supplementary Education, College Students, Student Participation
Poce, Antonella; Amenduni, Francesca; Re, Maria Rosaria; De Medio, Carlo – Open Praxis, 2019
The rapidly growing number of learning materials and repositories makes the issue of how to find the most relevant and best quality resources to be integrated in teaching and learning offers. Thus, effective quality assessment tools are more and more needed. In the present paper, a case-study focusing on quality assurance in a Virtual Mobility…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Emery, Mary; Higgins, Lorie; Chazdon, Scott; Hansen, Debra – Journal of Extension, 2015
A mind mapping approach to evaluation called Ripple Effects Mapping (REM) has been developed and used by a number of Extension faculty across the country recently. This article describes three approaches to REM, as well as key differences and similarities. The authors, each from different land-grant institutions, believe REM is an effective way to…
Descriptors: Program Evaluation, Evaluation Methods, Program Effectiveness, Extension Education