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Toste, Jessica R.; Logan, Jessica A. R.; Shogren, Karrie A.; Boyd, Brian A. – Exceptional Children, 2023
Group design research studies can provide evidence to draw conclusions about "what works," "for whom," and "under what conditions" in special education. The quality indicators introduced by Gersten and colleagues (2005) have contributed to increased rigor in group design research, which has provided substantial…
Descriptors: Research Design, Educational Research, Special Education, Educational Indicators
Wang, Shih-Ping; Chen, Yih-Lan – Educational Technology & Society, 2018
This study integrated the multimodal framework of learning analytics (IMFLA) with the concept mapping (Cmap) approach to improve students' vocabulary and reading abilities. A total of 70 participants were divided into 2 classes, Class 1 (experimental) and Class 2 (control), for a 1-year period. Vocabulary and reading tests were implemented 3…
Descriptors: Foreign Countries, College Students, Educational Research, Data Collection
Margaret Denny; Suzanne Denieffe; Majda Pajnkihar – Sage Research Methods Cases, 2017
This case study considers how a non-equivalent control group design was used in a PhD study examining the impact of a multiple intelligence teaching approach on student engagement and learning. Two groups of second year undergraduate nursing students undertook the study: a treatment group (n = 26) and a control group (n = 18). The intervention for…
Descriptors: Educational Research, Control Groups, Research Methodology, Nursing Students
Martin, Florence; Whitmer, John C. – Technology, Knowledge and Learning, 2016
Adaptive learning gives learners control of context, pace, and scope of their learning experience. This strategy can be implemented in online learning by using the "Adaptive Release" feature in learning management systems. The purpose of this study was to use learning analytics research methods to explore the extent to which the adaptive…
Descriptors: Technology Uses in Education, Online Courses, Integrated Learning Systems, Preservice Teacher Education
Lu, Owen H. T.; Huang, Jeff C. H.; Huang, Anna Y. Q.; Yang, Stephen J. H. – Interactive Learning Environments, 2017
As information technology continues to evolve rapidly, programming skills become increasingly crucial. To be able to construct superb programming skills, the training must begin before college or even senior high school. However, when developing comprehensive training programmers, the learning and teaching processes must be considered. In order to…
Descriptors: Learner Engagement, Outcomes of Education, Online Courses, Educational Research
Akers, Lauren; Resch, Alexandra; Berk, Jillian – National Center for Education Evaluation and Regional Assistance, 2014
This guide for district and school leaders shows how to recognize opportunities to embed randomized controlled trials (RCTs) into planned policies or programs. Opportunistic RCTs can generate strong evidence for informing education decisions--with minimal added cost and disruption. The guide also outlines the key steps to conduct RCTs and responds…
Descriptors: School Districts, Educational Research, Guides, Program Evaluation
Fortson, Kenneth; Verbitsky-Savitz, Natalya; Kopa, Emma; Gleason, Philip – National Center for Education Evaluation and Regional Assistance, 2012
Randomized controlled trials (RCTs) are widely considered to be the gold standard in evaluating the impacts of a social program. When an RCT is infeasible, researchers often estimate program impacts by comparing outcomes of program participants with those of a nonexperimental comparison group, adjusting for observable differences between the two…
Descriptors: Charter Schools, Middle School Students, Educational Research, Research Design
Marsden, Emma; Torgerson, Carole J. – Oxford Review of Education, 2012
This article provides two illustrations of some of the factors that can influence findings from pre- and post-test research designs in evaluation studies, including regression to the mean (RTM), maturation, history and test effects. The first illustration involves a re-analysis of data from a study by Marsden (2004), in which pre-test scores are…
Descriptors: Quasiexperimental Design, Research Methodology, Research Design, Pretests Posttests
What Works Clearinghouse, 2014
This "What Works Clearinghouse Procedures and Standards Handbook (Version 3.0)" provides a detailed description of the standards and procedures of the What Works Clearinghouse (WWC). The remaining chapters of this Handbook are organized to take the reader through the basic steps that the WWC uses to develop a review protocol, identify…
Descriptors: Educational Research, Guides, Intervention, Classification
Schochet, Peter Z. – Journal of Educational and Behavioral Statistics, 2013
In education randomized control trials (RCTs), the misreporting of student outcome data could lead to biased estimates of average treatment effects (ATEs) and their standard errors. This article discusses a statistical model that adjusts for misreported binary outcomes for two-level, school-based RCTs, where it is assumed that misreporting could…
Descriptors: Control Groups, Experimental Groups, Educational Research, Data Analysis
Kim, Eun Sook; Willson, Victor L. – Educational and Psychological Measurement, 2010
This article presents a method to evaluate pretest effects on posttest scores in the absence of an un-pretested control group using published results of pretesting effects due to Willson and Putnam. Confidence intervals around the expected theoretical gain due to pretesting are computed, and observed gains or differential gains are compared with…
Descriptors: Control Groups, Intervals, Educational Research, Educational Psychology
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
Knuchel, Brian – ProQuest LLC, 2010
Research indicates that many adolescent students struggle with reading skills. Accordingly, this quantitative study attempted to address the problem of ninth-grade students entering high school deficient in literacy skills. The purpose of this non-experimental study was to investigate the effects a remedial reading program called Ramp-Up Literacy…
Descriptors: Educational Strategies, Learning Theories, Research Design, Remedial Reading
Puma, Michael J.; Olsen, Robert B.; Bell, Stephen H.; Price, Cristofer – National Center for Education Evaluation and Regional Assistance, 2009
This NCEE Technical Methods report examines how to address the problem of missing data in the analysis of data in Randomized Controlled Trials (RCTs) of educational interventions, with a particular focus on the common educational situation in which groups of students such as entire classrooms or schools are randomized. Missing outcome data are a…
Descriptors: Educational Research, Research Design, Research Methodology, Control Groups
Cahalan, Margaret; Goodwin, David – Pell Institute for the Study of Opportunity in Higher Education, 2014
In January 2009, in the last week of the Bush Administration, the U.S. Department of Education (ED), upon orders from the departing political appointee staff, published the final report in a long running National Evaluation of Upward Bound (UB). The study was conducted by the contractor, Mathematica Policy Research. After more than a year in…
Descriptors: Federal Programs, College Readiness, Access to Education, Data Analysis
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