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Independent School, 2016
This article provides a list of low and no tuition independent schools. Profile information is accurate as of May 2016. Profiles contain student body information, how the school works, the school mission, and contact information. [Online Feature]
Descriptors: Low Income Students, Private Schools, Profiles, Statistical Data

Joiner, Lee Marvin – Journal of Special Education, 1979
The article describes the methods and procedures of computerized statistical cartography, the production of statistical maps, and provides suggestions for its application in special education research and planning. (Author/CL)
Descriptors: Cartography, Computers, Disabilities, Maps

Dobbins, D. Alan – European Journal of Special Needs Education, 1987
Since research conclusions derived from inappropriate statistical methodologies can lack accuracy, the article describes a technique appropriate to the heterogeneity of special needs groups in which subjects are assigned to fairly homogeneous subgroups. The technique is related to research in reading with this population. (DB)
Descriptors: Disabilities, Reading Research, Research Methodology, Statistical Analysis

Brager, Gary L.; Mazza, Paul – Educational Evaluation and Policy Analysis, 1979
Suggestions are made on effective presentations by evaluators of research studies to audiences who are not statisticians. Examples of effective presentation methods are given: analogies in presenting statistics; graphs or pictorial presentations; summaries to highlight findings; concise reports based on a television newscast style; and judicial…
Descriptors: Audiences, Communication Problems, Evaluators, Guides
Hogan, J. B. – Technical Writing Teacher, 1983
Offers guidelines for statistical analysis to help determine the accuracy and appropriateness of statistics presented in a document. Provides example of commonly used techniques for manipulating statistics. (HTH)
Descriptors: Content Analysis, Critical Reading, Evaluation Criteria, Persuasive Discourse

Asmus, Edward P. – Bulletin of the Council for Research in Music Education, 1989
Provides a conceptual basis for understanding factor analysis as an analytical technique. Illustrates the basic concepts of factor analysis through Edward L. Rainbow's data from a study of variables influencing students' musical aptitude. Suggests that this technique is most appropriate in music applications where the interrelationships between…
Descriptors: Aptitude Tests, Factor Analysis, Music Education, Research Methodology
Abramson, Paul, Ed. – College Planning & Management, 1999
Presents comparative regional data on school construction activities and costs for 1998 and 1999 projections. Regional data include profiles of new buildings expected to be completed in 1999, college construction completed and projected for starting in 1999, and the types of residence-hall amenities and the percentages of how often they are found.…
Descriptors: Comparative Analysis, Construction Costs, Dormitories, Educational Facilities Planning
Millar, Robert G., III – Currents, 1995
This article discusses techniques for calculating the net worth of prospective college and university donors, explaining how to base a net worth calculation on known statistical averages. It then reviews several formulas for estimating a person's giving ability. (MDM)
Descriptors: Colleges, Computation, Donors, Fund Raising

Norton, Robert – Journal of Technical Writing and Communication, 1993
Demonstrates several different ways to visually display patterns of data. Discusses how the different graphics highlight different information in the data. (SR)
Descriptors: Graphic Arts, Graphs, Higher Education, Statistical Data

Hinkle, Dennis E.; And Others – New Directions for Institutional Research, 1988
The data collected in higher education research are not always quantitative or continuous. Statistical methods using the log-linear model provide the institutional researcher with a powerful set of tools for addressing research questions when data are categorical. (Author/MSE)
Descriptors: Data Interpretation, Higher Education, Information Utilization, Institutional Research

Andrew, Loyd D. – New Directions for Program Evaluation, 1984
A detailed examination of the Higher Education General Information Survey (HEGIS) data base--its content, development, and past and potential uses for researchers--is presented. Because knowledge of the data elements is crucial for successful secondary analysis, procedures for collecting needed information on the data in HEGIS are suggested. (BS)
Descriptors: Data Analysis, Data Collection, Databases, Educational Research

Edyburn, Dave – Journal of Special Education Technology, 2001
This article highlights ways to access annual child count data on students receiving special education services in various formats in order to enhance professional productivity. Web sites are identified for accessing annual reports to the U.S. Congress, most recent national data, and most recent state data. (CR)
Descriptors: Disabilities, Elementary Secondary Education, Incidence, Information Sources
Agron, Joe, Ed. – American School & University, 1998
Presents data from the American School & University's annual Maintenance and Operations (M&O) Cost Study for the 1997-98 school year. Data include trends in building-operations-staff salaries and M&O costs expressed in dollars per student and per square foot. Results indicate an underfunding of M&O that may not provide students…
Descriptors: Building Operation, Comparative Analysis, Costs, Educational Facilities Improvement
Rieger, Oya Y. – Microcomputers for Information Management, 1993
Focuses on four issues related to providing government numeric databases in libraries: hardware, access software, staff skills, and organizing services. Basic, intermediate, and advanced levels of service and a guide for selecting an appropriate level are presented. Examples of screens from actual searches are included. (Contains eight…
Descriptors: Computer Software, Costs, Government Publications, Library Services

Burchinal, Margaret; Appelbaum, Mark I. – Child Development, 1991
Quantitative growth curve models for estimating individual developmental functions from various types of longitudinal data are discussed in the context of investigator assumptions and research design characteristics. Linear and nonlinear models that estimate growth curves are illustrated, and contrasted when they are fit to speech development…
Descriptors: Children, Individual Development, Individual Differences, Language Acquisition
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