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von Eye, Alexander; Wiedermann, Wolfgang; Herman, Keith C.; Reinke, Wendy – Prevention Science, 2023
In standard statistical data analysis, the effects of intervention or prevention efforts are evaluated in terms of variable relations. Results from application of regression-type methods suggest whether, overall, intervention is successful. In this article, we propose using configural frequency analysis (CFA) either in tandem with regression-type…
Descriptors: Intervention, Regression (Statistics), Data Analysis, Profiles
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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
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Grund, Simon; Lüdtke, Oliver; Robitzsch, Alexander – Journal of Educational and Behavioral Statistics, 2023
Multiple imputation (MI) is a popular method for handling missing data. In education research, it can be challenging to use MI because the data often have a clustered structure that need to be accommodated during MI. Although much research has considered applications of MI in hierarchical data, little is known about its use in cross-classified…
Descriptors: Educational Research, Data Analysis, Error of Measurement, Computation
von Eye, Alexander; Wiedermann, Wolfgang; Herman, Keith C.; Reinke, Wendy M. – Grantee Submission, 2021
In standard statistical data analysis, the effects of intervention or prevention efforts are evaluated in terms of variable relations. Results from application of regression-type methods suggest whether, overall, intervention is successful. In this article, we propose using configural frequency analysis (CFA) either in tandem with regression-type…
Descriptors: Intervention, Regression (Statistics), Data Analysis, Profiles
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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
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Kuhn, Jonathan R.; Marsh, Shawn C.; Cotman, Chip – Child & Youth Care Forum, 2017
Background: Both observed studies and experimental studies have identified programs, practices, and treatments that are considered effective, ineffective, or harmful for juvenile offenders. Objective: Identify which dispositions were best and worse for each offense in the La Porte County, Indiana, juvenile justice database of over 8500 juvenile…
Descriptors: Juvenile Justice, Data Analysis, Outcomes of Treatment, Recidivism
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Tirol-Carmody, Kristina; Kardash, Nadia; Chang, Karin; Ecker-Lyster, Meghan – Community College Journal of Research and Practice, 2020
This paper discusses the key findings from a qualitative case study examining the implementation of an activity-based cost management model (ABC model) at a large community college. In a climate of fiscal uncertainty, the college adopted this model with the goal of improving budgetary decision-making. The paper examines faculty and administrators'…
Descriptors: Community Colleges, Educational Finance, Budgeting, Barriers
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Shaw, Paula; Green, Pauline; Gration, Marlies; Rhodes, Christine; Sheffield, David; Stone, Julie – Australasian Journal of Educational Technology, 2020
Through this paper, we explore "unbundling," the separation of various aspects of education, resources, teaching and assessment (Ossiannilsson et al., 2015) and "rebundling," where these activities are "recombined into new configurations with little loss of functionality" (Ge et al., 2004, p. 1). We chart the…
Descriptors: Online Courses, Foreign Countries, Higher Education, Educational Technology
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Lohr, Sharon; Schochet, Peter Z.; Sanders, Elizabeth – National Center for Education Research, 2014
Suppose an education researcher wants to test the impact of a high school drop-out prevention intervention in which at-risk students attend classes to receive intensive summer school instruction. The district will allow the researcher to randomly assign students to the treatment classes or to the control group. Half of the students (the treatment…
Descriptors: Educational Research, Research Design, Data Analysis, Intervention
Nasrollahi, Mohammad Ali – Online Submission, 2015
Action research is a systematic approach to investigation that enables people to find effective solutions to problems they confront in their everyday lives. A significant feature is that action research lays claim to the professional development in education. Action research as any systematic inquiry conducted by teachers, administrators, and…
Descriptors: Action Research, Teacher Researchers, Models, Faculty Development
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Zevallos, Ana L.; Washburn, Mara – About Campus, 2014
Over the past decades, Vincent Tinto, Edmund Thile, Francis Ianni, and others all link mentoring to better academic performance, improved social adjustment, enhanced academic experiences, and greater rates of degree completion. Even more specifically, Jean E. Rhodes, Renée Spencer, Thomas E. Keller, Belle Liang, and Gil Noam describe three…
Descriptors: Mentors, Peer Counseling, College Students, Program Descriptions
Smith, Leigh – ProQuest LLC, 2015
This applied dissertation was designed to provide perceptual teacher data as well as summative testing data to educational leaders concerning the effects of implementing Investigations in Number, Data, and Space® (Investigations) in three Title I elementary school settings, two Title I schools, and one non-Title I school. Data collected during…
Descriptors: Program Evaluation, Program Implementation, Investigations, Elementary School Teachers
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Bozick, Robert; Gonzalez, Gabriella; Engberg, John – Journal of Student Financial Aid, 2015
The Pittsburgh Promise is a scholarship program that provides $5,000 per year toward college tuition for public high school graduates in Pittsburgh, Pennsylvania who earned a 2.5 GPA and a 90% attendance record. This study used a difference-in-difference design to assess whether the introduction of the Promise scholarship program directly…
Descriptors: Merit Scholarships, College Bound Students, Enrollment Influences, Enrollment Management
Merrill, Lisa; Siman, Nina; Wulach, Suzanne; Kang, David – Research Alliance for New York City Schools, 2015
iMentor's College Ready Program is a unique approach that combines elements of school-based mentoring, whole school reform, and technology in an effort to help students develop the full suite of knowledge, behaviors, and skills they need to complete high school and enroll and thrive in college. iMentor partners with high schools that serve…
Descriptors: Mentors, Educational Change, Technology Uses in Education, College Readiness
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Heathcock, Kristin – Journal of Library & Information Services In Distance Learning, 2015
Embedded librarians in online courses provide a wealth of service and information to students. Though students indicate that these services are valuable, the librarians providing embedded services frequently note that these projects are very time consuming. This study examines the provision of a less time-intensive model of embedded librarianship…
Descriptors: Online Courses, Models, Library Services, Library Research
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