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Hallberg, Kelly; Williams, Ryan; Swanlund, Andrew; Eno, Jared – Educational Researcher, 2018
Short comparative interrupted times series (CITS) designs are increasingly being used in education research to assess the effectiveness of school-level interventions. These designs can be implemented relatively inexpensively, often drawing on publicly available data on aggregate school performance. However, the validity of this approach hinges on…
Descriptors: Educational Research, Research Methodology, Comparative Analysis, Time
Gladden, R. Matthew, Comp.; Vivolo-Kantor, Alana M., Comp.; Hamburger, Merle E., Comp.; Lumpkin, Corey D., Comp. – Centers for Disease Control and Prevention, 2014
Bullying is one type of violence that threatens a youth's well-being in schools and neighborhoods. The impacts of bullying are felt by individuals, families, schools, and society and may result in youths feeling powerless, intimidated, and humiliated by the aggressive acts of other youth(s). This document is designed as a tool to help…
Descriptors: Public Health, Bullying, Aggression, Prevention
Hopstock, Paul J.; Pelczar, Marisa P. – National Center for Education Statistics, 2011
This technical report and user's guide is designed to provide researchers with an overview of the design and implementation of the 2009 Program for International Student Assessment (PISA), as well as with information on how to access the PISA 2009 data. This information is meant to supplement that presented in Organization for Economic Cooperation…
Descriptors: Parent Materials, Academic Achievement, Measures (Individuals), Program Effectiveness
Peer reviewedWhiteley, Meredith A.; Stage, Frances K. – New Directions for Institutional Research, 1987
The widespread use of comparative data can lead to problems on a campus unless the data are systematically incorporated in the institutional planning cycle. A model has been developed to alleviate a number of problems and increase the power of comparison as a management tool. (MSE)
Descriptors: College Planning, Comparative Analysis, Data Interpretation, Higher Education
Peer reviewedHutten, Leah R. – New Directions for Institutional Research, 1984
Because a microcomputer system can be an expensive acquisition, the purchase decision needs to be made carefully. Steps to purchasing a microcomputer include: evaluating the data and word processing needs of the office, determining needs being met with existing capabilities, and making a cost-benefit comparison among systems. (MLW)
Descriptors: Comparative Analysis, Computer Software, Evaluation, Guidelines
Peer reviewedHains, Ann Higgins – Journal of Early Intervention, 1991
This article describes the multielement design, often recommended in single-subject research, and discusses its advantages and disadvantages for research in early intervention with handicapped children. The article concludes that the multielement design has many advantages, though multiple treatment interference is an issue of concern. (JDD)
Descriptors: Comparative Analysis, Disabilities, Early Intervention, Elementary Secondary Education
Hall, William C. – 1990
This manual discusses major differences between academic and commercial educational research (CER) and provides suggestions to help researchers who want to conduct CER. The paper is based on the experiences of the TAFE National Center for Research and Development Ltd in Leabrook (Australia). Focus is on describing how to apply for grants and how…
Descriptors: Comparative Analysis, Educational Research, Foreign Countries, Proposal Writing
Mislevy, Robert J.; Stocking, Martha L. – 1987
Since its release in 1976, LOGIST has been the most widely used computer program for estimating the parameters of the three-parameter logistic item response model developed by A. Birnbaum. An alternative program, BILOG, developed by R. J. Mislevy and R. D. Bock (1983), has recently become available. This paper compares the approaches taken by the…
Descriptors: Bayesian Statistics, Comparative Analysis, Computer Software, Estimation (Mathematics)
Peer reviewedBrinkman, Paul T.; Teeter, Deborah J. – New Directions for Institutional Research, 1987
Institutional comparison groups can be selected in several ways, depending on the comparison issue. The method chosen involves both technical and political considerations. (Author/MSE)
Descriptors: Comparative Analysis, Data Analysis, Data Interpretation, Higher Education
Mannering, Linda W.; McKinney, Richard L. – 1983
The paper sets the stage for the effective and efficient use of computers in institutional research. The microcomputer and the mainframe computer are contrasted for those researchers who have a choice of where to process data. General computer use, specific microcomputer and mainframe computing guidelines, and an application utilizing both…
Descriptors: Comparative Analysis, Computers, Data Analysis, Data Processing
Peer reviewedDunn, John A., Jr. – New Directions for Institutional Research, 1987
Setting up a successful interinstitutional data-sharing project involves commonsense guidelines: be clear about what is wanted, take advantage of what already exists, use appropriate technology, staff adequately, recognize institutional differences, and concentrate on achieving insight rather than precision. (Author/MSE)
Descriptors: Comparative Analysis, Data Collection, Disclosure, Higher Education
Peer reviewedWeston, Cynthia B. – Canadian Journal of Educational Communication, 1986
Describes and compares formative evaluation approaches: expert review, developmental testing, three-stage model, learner verification and revision, and general approach to formative evaluation. Discussion of differences among approaches related to duration of try-out/revision cycle and recommendations for effective acquisition of data are…
Descriptors: Comparative Analysis, Evaluation Methods, Field Tests, Formative Evaluation
Peer reviewedBentley, Richard J.; And Others – Research in Higher Education, 1990
Ways to improve data comparability among national college faculty surveys are discussed. The surveys and some of their attributes are identified. Faculty sizes are estimated and weights for faculty in selected disciplines and institutions calculated. Weights were designed specifically for surveys conducted in 1969, 1975, 1980, and 1988.…
Descriptors: College Faculty, Comparative Analysis, Databases, Higher Education
Peer reviewedStark, Joan S. – Journal of Higher Education, 1998
Proposes that higher education scholars distinguish among professional subjects taught to undergraduates as they do among traditional disciplines. Other distinctions may be more meaningful than the research-based dimensions used in the popular Biglan classification. A framework for differentiating collegiate career fields is proposed, evidence…
Descriptors: Classification, Comparative Analysis, Higher Education, Institutional Characteristics
Haberaecker, Heather J. – 1990
A framework is presented for developing and utilizing interinstitutional comparisons of nonacademic units in the program review process using Northeastern Illinois University of Chicago, Illinois, as an example. The framework is drawn from a review of the literature on organizational effectiveness and the various dimensions of management…
Descriptors: College Programs, Colleges, Comparative Analysis, Higher Education
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