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Brunner, Martin; Keller, Lena; Stallasch, Sophie E.; Kretschmann, Julia; Hasl, Andrea; Preckel, Franzis; Lüdtke, Oliver; Hedges, Larry V. – Research Synthesis Methods, 2023
Descriptive analyses of socially important or theoretically interesting phenomena and trends are a vital component of research in the behavioral, social, economic, and health sciences. Such analyses yield reliable results when using representative individual participant data (IPD) from studies with complex survey designs, including educational…
Descriptors: Meta Analysis, Surveys, Research Design, Educational Research
Doss, Christopher Joseph; Johnston, William R. – RAND Corporation, 2018
This technical appendix provides additional information about the sample, data, and estimation strategy that were used for a series of AEP Data Notes published by the RAND Corporation in 2018 and 2019. The Data Note series is intended to provide brief, incisive analyses of teacher and school leader survey results which may be of immediate interest…
Descriptors: Teacher Surveys, Administrator Surveys, Sampling, Public Schools
Fraillon, Julian, Ed.; Ainley, John, Ed.; Schulz, Wolfram, Ed.; Friedman, Tim, Ed.; Duckworth, Daniel, Ed. – International Association for the Evaluation of Educational Achievement, 2020
IEA's International Computer and Information Literacy Study (ICILS) 2018 investigated how well students are prepared for study, work, and life in a digital world. ICILS 2018 measured international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and communicate at…
Descriptors: International Assessment, Computer Literacy, Information Literacy, Computer Assisted Testing
Greenhoot, Andrea Follmer; Dowsett, Chantelle J. – Journal of Cognition and Development, 2012
Existing data sets can be an efficient, powerful, and readily available resource for addressing questions about developmental science. Many of the available databases contain hundreds of variables of interest to developmental psychologists, track participants longitudinally, and have representative samples. In this article, the authors discuss the…
Descriptors: Data Analysis, Developmental Psychology, Research Methodology, Best Practices
Miller, Barbara; Pasley, Joan – Evidence & Policy: A Journal of Research, Debate and Practice, 2012
Knowledge derived from practice forms a significant portion of the knowledge base in the education field, yet is not accessible using existing empirical research methods. This paper describes a systematic, rigorous, grounded approach to collecting and analysing practice-based knowledge using the authors' research in teacher leadership as an…
Descriptors: Evidence Based Practice, Data Collection, Data Analysis, Educational Research
King, Joe P.; Hernandez, Jose M.; Lott, Joe L., II – New Directions for Institutional Research, 2012
Multilevel modeling (MLM) gives researchers the ability to make inferences about organizations where nesting factors will bias results and the assumption of independence is not tenable. This article provides an overview of the variety of data sources that lend themselves to conducting institutional research (IR). It not only serves as a repository…
Descriptors: Institutional Research, Computer Software, Data Analysis, Inferences
Peugh, James L. – Journal of School Psychology, 2010
Collecting data from students within classrooms or schools, and collecting data from students on multiple occasions over time, are two common sampling methods used in educational research that often require multilevel modeling (MLM) data analysis techniques to avoid Type-1 errors. The purpose of this article is to clarify the seven major steps…
Descriptors: Educational Research, Research Methodology, Data Analysis, Academic Achievement
University of Chicago Consortium on Chicago School Research, 2014
Districts now have access to a wealth of new information that can help target students with appropriate supports and bring focus and coherence to college readiness efforts. However, the abundance of data has brought its own challenges. Schools and school systems are often overwhelmed with the amount of data available. The capacity of districts to…
Descriptors: College Readiness, Educational Indicators, College Preparation, School Districts
Yoshikawa, Hirokazu; Weisner, Thomas S.; Kalil, Ariel; Way, Niobe – Developmental Psychology, 2008
Multiple methods are vital to understanding development as a dynamic, transactional process. This article focuses on the ways in which quantitative and qualitative methodologies can be combined to enrich developmental science and the study of human development, focusing on the practical questions of "when" and "how." Research situations that may…
Descriptors: Research Methodology, Statistical Analysis, Qualitative Research, Individual Development
Foley, Daniel J. – National Science Foundation, 2009
This report presents data from the 2006 Survey of Doctorate Recipients (SDR). The SDR is a panel survey that collects longitudinal data, biennially, on demographic and general employment characteristics of individuals who have received a doctorate in a science, engineering, or health field from a U.S. academic institution. Sampled individuals are…
Descriptors: Surveys, Graduates, Doctoral Degrees, Engineering
Young, Rosalie F.; Kahana, Eva – 1983
Research with older persons suffering from physical illness presents numerous challenges to gerontologists. Issues of conceptualization pertaining to the definition of illness, its location in the research paradigm, and the context in which illness occurs must be addressed prior to dealing with methodological problems. Access to physically ill…
Descriptors: Bias, Data Analysis, Diseases, Gerontology

Ellis, Michael V. – Counselor Education and Supervision, 1991
Conceptualizes the process of conducting integrative research reviews as a data-gathering, empirically based procedure and offers guidelines for conducting such reviews. Introduces specific suggestions that were heretofore unaddressed. Maintains that efforts to standardize integrative review process and to ensure its scientific rigor in counselor…
Descriptors: Counseling, Counselor Educators, Counselor Training, Data Analysis
Mason, Jennifer – 1997
This book is intended to explain principles of qualitative research to potential researchers and to provide them with a set of tools, and guidelines for critical thinking as they carry out such research. The chapters are organized around the elements of the research process which require decisions. Following an introductory chapter, Chapter 2…
Descriptors: Data Analysis, Data Collection, Epistemology, Interviews

Dey, Eric L. – Research in Higher Education, 1997
A study investigated the effectiveness of a weighting procedure for adjusting survey results to correct for nonresponse bias. Using data from a Cooperative Institutional Research Program followup survey, results indicate that the procedure is highly effective in univariate distributions; its effectiveness in adjusting correlation and regression…
Descriptors: Data Analysis, Followup Studies, Higher Education, Research Methodology

Leslie, David W.; Fygetakis, Elaine C. – Research in Higher Education, 1992
This paper compares the results of National Center for Education Statistics (NCES) and the Carnegie surveys of postsecondary faculty and notes the differently constructed samples, the different response rates, and different weighting schemes in analysis and interpretation. Inconsistencies in the surveys' results are identified and methodological…
Descriptors: College Faculty, Data Analysis, Data Interpretation, Higher Education