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Jones, Joseph; Southern, Kyle – CNA Corporation, 2011
Federal education policy in recent years has encouraged state and local education agencies to embrace data use and analysis in decision-making, ranging from policy development and implementation to performance evaluation. The capacity of these agencies to make effective and methodologically sound use of collected data for these purposes remains an…
Descriptors: Data Analysis, Grants, Educational Policy, Federal Programs

Burn, Christopher R.; Fox, Michael F. – Journal of Geography, 1986
Exploratory data analysis (EDA) gives students a feel for the data being considered. Four applications of EDA are discussed: the use of displays, resistant statistics, transformations, and smoothing. (RM)
Descriptors: Data Interpretation, Geography Instruction, Higher Education, Learning Activities

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
Johnston, Denis F. – 1981
This guide is designed to assist those readers of "The Condition of Education" and similar reports who may lack experience or confidence in reading and understanding statistical information. It serves four purposes (1) identifies and describes the principal features of statistical tables and charts; (2) presents a few illustrations of…
Descriptors: Charts, Data Interpretation, Educational Indicators, Educational Research
Council of Ontario Universities, Toronto. Research Div. – 1991
This publication provides macro-indicators and complementary analyses and supporting data for use by policy and decision makers concerned with Ontario universities. These analytical tools are meant to unambiguously measure what is taking place in Canadian postsecondary education, and therefore, assist in focusing on what decisions need to be made.…
Descriptors: Data Interpretation, Decision Making, Educational Planning, Educational Policy
Clagett, Craig A. – 1990
Guidelines are offered to institutional researchers and planning analysts for presenting research results in formats and levels of sophistication that are accessible to top management. Fundamental principles include: (1) know what is needed; (2) know when the information is needed; (3) match format to analytical sophistication and learning…
Descriptors: Communication (Thought Transfer), Data Interpretation, Higher Education, Information Dissemination
Wine, Jennifer S.; Whitmore, Roy W.; Heuer, Ruth E.; Biber, Melissa; Pratt, Daniel J. – 2000
This report describes the methods and procedures used for the full-scale data collection effort of the Beginning Postsecondary Students Longitudinal Study First Follow-Up 1996-98 (BPS:96/98). These students, who started their postsecondary education during the 1995-96 academic year, were first interviewed during 1996 as part of the National…
Descriptors: College Students, Comparative Analysis, Data Interpretation, Enrollment
Organisation for Economic Cooperation and Development, Paris (France). – 2000
This Organisation for Economic Cooperation and Development report documents the growing demand for learning around the world. A quantitative description of the functioning of education systems allows for international comparisons and the identification of the strengths and weaknesses of various approaches to providing quality education. Chapter 1,…
Descriptors: Access to Education, Comparative Analysis, Cross Cultural Studies, Data Analysis