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Showing 1 to 15 of 24 results Save | Export
Joao M. Souto-Maior; Kenneth A. Shores; Rachel E. Fish – Annenberg Institute for School Reform at Brown University, 2025
Whether selection processes contribute to group-level disparities or merely reflect pre-existing inequalities is an important societal question. In the context of observational data, researchers, concerned about omitted-variable bias, assess selection-contributing inequality via a kitchen-sink approach, comparing selection outcomes of…
Descriptors: Control Groups, Predictor Variables, Correlation, Selection Criteria
Godfrey, Kelly E. – College Board, 2016
By creating and analyzing matched samples, researchers can simplify their analyses to include fewer covariate variables, relying less on model assumptions, and thus generating results that may be easier to report and interpret. When two groups essentially "look" the same, it is easier to explore their differences and make comparisons…
Descriptors: Experimental Groups, Control Groups, Sampling, Research Methodology
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
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Walvoord, Mark E.; Pleitz, Jacob D. – Learning Assistance Review, 2016
Our study used a case-control matching design to assess the influence of a voluntary tutoring program in improving first-year students' Grade Point Averages (GPA). To evaluate program effectiveness, we applied case-control matching to obtain 215 pairs of students with or without participation in tutoring, but matched on high school GPA and…
Descriptors: College Freshmen, Matched Groups, Sampling, Tutoring
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Alghamdi, Amani K. Hamdan; Deraney, Philline – International Journal of Teaching and Learning in Higher Education, 2018
This study highlights how teaching a research methods course to undergraduate students can be a successful endeavor when active learning is the main method of learning and teaching. In this study, the effectiveness of using active learning in the experimental group to achieve the learning outcomes and final product of a freshman-year writing and…
Descriptors: Research Skills, Active Learning, Teaching Methods, Statistical Analysis
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Daniel, Frances; Gaze, Catherine M.; Braasch, Jason L. G. – Teaching of Psychology, 2015
We examined how writing cover letters to the instructor influenced final papers in research methods courses. After receiving instructor feedback on drafts of each section of an American Psychological Association style research paper throughout the semester, students in two classes wrote cover letters to the instructor explaining how the instructor…
Descriptors: Research Methodology, Methods Courses, Feedback (Response), Writing Improvement
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Ouimet, Mathieu; Lapointe, Luc; Léon, Grégory – Evidence & Policy: A Journal of Research, Debate and Practice, 2015
A pilot controlled before-and-after design was used to assess the impact of a new master-level course in evidence-informed policy making on students' basic knowledge in evidence-based practice. The primary outcome variable was the mean percentage of pre-post improvement on the knowledge test. In the treatment group, the mean percentage of pre-post…
Descriptors: Feasibility Studies, Graduate Study, Public Administration Education, Evidence Based Practice
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Suleman, Qaiser; Hussain, Ishtiaq – Journal of Education and Practice, 2016
The purpose of the research paper was to investigate the effect of eclectic learning approach on the academic achievement and retention of students in English at elementary level. A sample of forty students of 8th grade randomly selected from Government Boys High School Khurram District Karak was used. It was an experimental study and that's why…
Descriptors: Elementary School Students, Academic Achievement, School Holding Power, Pretests Posttests
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Kee, Chang Peng; Osman, Kamisah; Ahmad, Fauziah – International Education Studies, 2013
Statistical analysis is one component that cannot be avoided in a quantitative research. Initial observations noted that students in higher education institution faced difficulty analysing quantitative data which were attributed to the confusions of various variable measurements. This paper aims to compare the outcomes of two approaches applied in…
Descriptors: Statistical Analysis, Teaching Methods, Instructional Effectiveness, Instructional Innovation
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Gaus, Hansjoerg; Mueller, Christoph Emanuel – Evaluation Review, 2011
Background and objectives. The majority of environmental education takes place in informal settings, of which so-called free-choice learning is typical. What is understood by this is a kind of learning which is self-determined and driven by the needs and interests of the learner. The voluntariness of participation in interventions and the fact…
Descriptors: Foreign Countries, Environmental Education, Climate, Research Methodology
Zoblotsky, Todd; Ransford-Kaldon, Carolyn; Morrison, Donald M. – Society for Research on Educational Effectiveness, 2011
The present paper describes the recruitment and site selection process that has been underway since January 2011, with particular emphasis on the use of Mahalanobis distance score to determine matched pairs of sites prior to randomization to treatment and control groups. Through a systematic winnowing process, the authors found that they could…
Descriptors: Science Instruction, Educational Change, Research Methodology, Site Selection
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Graham, Suzanne E.; Kurlaender, Michal – Journal of Educational Research, 2011
Educational researchers frequently study the impact of treatments or interventions on educational outcomes. However, when observational or quasiexperimental data are used for such investigations, selection bias can adversely impact researchers' abilities to make causal inferences about treatment effects. One way to deal with selection bias is to…
Descriptors: Investigations, Educational Research, Research Methodology, Educational Objectives
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Zhu, Pei; Jacob, Robin; Bloom, Howard; Xu, Zeyu – Educational Evaluation and Policy Analysis, 2012
This paper provides practical guidance for researchers who are designing and analyzing studies that randomize schools--which comprise three levels of clustering (students in classrooms in schools)--to measure intervention effects on student academic outcomes when information on the middle level (classrooms) is missing. This situation arises…
Descriptors: Educational Research, Educational Researchers, Research Methodology, Multivariate Analysis
Lane, Forrest C.; Henson, Robin K. – Online Submission, 2010
Education research rarely lends itself to large scale experimental research and true randomization, leaving the researcher to quasi-experimental designs. The problem with quasi-experimental research is that underlying factors may impact group selection and lead to potentially biased results. One way to minimize the impact of non-randomization is…
Descriptors: Quasiexperimental Design, Research Methodology, Educational Research, Scores
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Jacob, Robin; Zhu, Pei; Bloom, Howard – Journal of Research on Educational Effectiveness, 2010
This article provides practical guidance for researchers who are designing studies that randomize groups to measure the impacts of educational interventions. The article (a) provides new empirical information about the values of parameters that influence the precision of impact estimates (intraclass correlations and R[superscript 2] values) and…
Descriptors: Research Design, Research Methodology, Educational Research, Intervention
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