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Eliezer, Kopel; Peled, Einat – International Journal of Social Research Methodology, 2023
The purpose of this article is to further the methodological cross-fertilization between qualitative social science researchers and psychoanalytic theoreticians by outlining and demonstrating a method of intertextual psychoanalytic-intersubjective analysis (IPIA) in qualitative research. The authors believe that such a bridge between the…
Descriptors: Psychiatry, Qualitative Research, Data Analysis, Social Science Research
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
Kulkarni, Tara; Weeks, Mollie R.; Sullivan, Amanda L. – Equity Assistance Center Region III, Midwest and Plains Equity Assistance Center, 2021
This Equity Tool, intended to support when critically reading a research study/report, provides a brief introduction to key concepts and issues involved in using largescale research, calling attention to high profile controversies, and providing explicit linkages to desegregation areas (race, sex, nationality, religion). The first part (Table 1)…
Descriptors: Equal Education, Check Lists, Data Analysis, Research Reports
Abdulkadir Palanci; Rabia Meryem Yilmaz; Zeynep Turan – Education and Information Technologies, 2024
This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…
Descriptors: Learning Analytics, Distance Education, Educational Trends, Periodicals
Villanueva Manjarres, Andrés; Moreno Sandoval, Luis Gabriel; Salinas Suárez, Martha Janneth – Digital Education Review, 2018
Educational Data Mining is an emerging discipline which seeks to develop methods to explore large amounts of data from educational settings, in order to understand students' behavior, interests and results in a better way. In recent years there have been various works related to this specialty and multiple data mining techniques derived from this…
Descriptors: Information Retrieval, Data Analysis, Educational Environment, Research Methodology
Lingard, Bob – European Educational Research Journal, 2022
This paper provides an account of the topological and its description of contemporary culture and use as a research methodology, a topological lens, generally, and in education research specifically. Some commentary is proffered on the relationships between the topological and the topographical, between relations and locations. A critical account…
Descriptors: Research Reports, Research Methodology, Data Analysis, Time
Temel, Gülhan Orekici; Erdogan, Semra; Selvi, Hüseyin; Kaya, Irem Ersöz – Educational Sciences: Theory and Practice, 2016
Studies based on longitudinal data focus on the change and development of the situation being investigated and allow for examining cases regarding education, individual development, cultural change, and socioeconomic improvement in time. However, as these studies require taking repeated measures in different time periods, they may include various…
Descriptors: Investigations, Sample Size, Longitudinal Studies, Interrater Reliability
Schoemann, Alexander M.; Miller, Patrick; Pornprasertmanit, Sunthud; Wu, Wei – International Journal of Behavioral Development, 2014
Planned missing data designs allow researchers to increase the amount and quality of data collected in a single study. Unfortunately, the effect of planned missing data designs on power is not straightforward. Under certain conditions using a planned missing design will increase power, whereas in other situations using a planned missing design…
Descriptors: Monte Carlo Methods, Simulation, Sample Size, Research Design
Webber, Hannah; Nelson, Sarah J.; Weatherbee, Ryan; Zoellick, Bill; Schauffler, Molly – Science Teacher, 2014
Data literacy is complex. When students investigate the natural world, they must be able to gather data, organize it in tables and spreadsheets, analyze it in context, and describe and interpret it--usually as evidence to support a scientific argument. These skills are echoed in the science and engineering practices of the "Next Generation…
Descriptors: Science Instruction, Graphs, Science Process Skills, Data Analysis
Chen, Chi Yusn – Journal of the Scholarship of Teaching and Learning, 2015
Research has been valued and given priority over teaching for a long time in academia. In recent decades, the Taiwanese Ministry of Education has pursued objective and quantitative research criteria and has encouraged higher education institutions to ask teachers to publish papers in SSCI or SCI journals as part of the criteria for promotion and…
Descriptors: Foreign Countries, Higher Education, College Faculty, Teacher Attitudes
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
Pigott, Therese D.; Williams, Ryan T.; Polanin, Joshua R.; Wu-Bohanon, Meng-Jia – Society for Research on Educational Effectiveness, 2012
The purpose of this research to investigate the heterogeneity of per-pupil expenditure (PPE) slope estimates in predicting student achievement. The research question guiding this project is: how does the measured relationship between per-pupil expenditure vary across studies that use different models? In concert with SREE's 2012 conference mission…
Descriptors: Productivity, Expenditures, Academic Achievement, Regression (Statistics)
Phelps, James L. – Educational Considerations, 2011
One of the most influential studies affecting educational policy is Glass and Smith's 1978 study, "Meta-Analysis of Research on the Relationship of Class-Size and Achievement." Since its publication, educational policymakers have referenced it frequently as the justification for reducing class size. While teachers and the public had long believed…
Descriptors: Class Size, Educational Research, Meta Analysis, Academic Achievement
Friedman-Krauss, Allison H.; Connors, Maia C.; Morris, Pamela A. – Society for Research on Educational Effectiveness, 2013
As a result of the 1998 reauthorization of Head Start, the Department of Health and Human Services conducted a national evaluation of the Head Start program. The goal of Head Start is to improve the school readiness skills of low-income children in the United States. There is a substantial body of experimental and correlational research that has…
Descriptors: Early Intervention, Preschool Education, School Readiness, Low Income Groups
Winokur, Ilene Kay – ProQuest LLC, 2013
The purpose of this study was to examine how teachers' perceptions of transformational leadership behavior of head of department (HOD) as instructional leader related to their motivation to transfer learning through professional development in public high schools in Kuwait. The study also addressed two other training transfer factors: ability to…
Descriptors: Foreign Countries, Transformational Leadership, Professional Development, Public School Teachers