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Principal, 1986
Presents the findings from a nationwide survey by the Educational Research Service, Inc. of principals on early childhood education. (MD)
Descriptors: Preschool Education, Sampling, Statistical Analysis, Statistical Data

Brown, James Dean – TESOL Quarterly, 1992
Five new strategies are proposed to help language teachers understand statistical studies. Each strategy is discussed with appropriate tables, figures, and examples drawn from recent articles of the "TESOL Quarterly." (18 references) (Author/LB)
Descriptors: Language Research, Language Teachers, Research Methodology, Second Language Instruction
Hedges, Larry V.; And Others – 1989
Methods for meta-analysis have evolved dramatically since Gene Glass first proposed the term in 1976. Since that time statistical and nonstatistical aspects of methodology for meta-analysis have been developing at a steady pace. This guide is an attempt to provide a practical introduction to rigorous procedures in the meta-analysis of social…
Descriptors: Comparative Analysis, Effect Size, Higher Education, Meta Analysis
Singer, Judith D.; Willett, John B. – 1988
Statistics tend to become interesting to non-methodologists when taught in a research context that is relevant to them. Real data sets supplemented by sufficient background information can provide just such a context. Despite this, many textbook authors and instructors of applied statistics rely on artificial data sets to illustrate statistical…
Descriptors: College Mathematics, Data Collection, Higher Education, Mathematical Applications

Barbella, Peter – Mathematics Teacher, 1987
Presented are two examples including data sets for which calculating various elementary statistics will reveal something new about the data. The objective of these examples is to show the student what various statistics may reveal, or not reveal, about a given data set. (PK)
Descriptors: Data, Data Analysis, Mathematical Applications, Mathematics Education

Cothron, Julie H.; And Others – American Biology Teacher, 1989
Described are teaching methods used to teach measures of central tendency to middle and high school students. Discussed are quantitative and qualitative data, basic experimental terms, a general overview of data analysis, data charts for quantitative data, qualitative data analysis, and extensions for older students. (CW)
Descriptors: Biological Sciences, Biology, Laboratory Procedures, Science Activities

Mehdizadeh, Mostafa – Journal of Economic Education, 1990
Reports on a statistical study on student assessment of professors and courses. Discusses the loglinear probability model that was used to find that students' evaluations of an economics course and several behavior attributes of the course's instructor were interactive and significant. (DB)
Descriptors: Course Evaluation, Economics Education, Educational Research, Higher Education
Illinois Univ., Champaign. Graduate School of Library Science. – 1990
This report presents statistical pictures of Illinois Public Libraries during the fiscal year 1988-1989. The information comes primarily from the Illinois Public Library Annual Report forms. In addition, text has been included that describes how a library or library system can utilize these statistics. Three sections divide the publication.…
Descriptors: Budgets, Financial Policy, Library Materials, Library Networks
Tourangeau, Roger; And Others – 1987
This manual was produced to familiarize data users with the procedures followed in data collection and processing of the fifth follow-up survey of the National Longitudinal Survey of the High School Class of 1972 (NLS-72) and to provide documentation for use of the file. The data file is a computerized data base, which is available on magnetic…
Descriptors: Data Collection, Databases, Followup Studies, High School Students

Coclanis, Peter A. – OAH Magazine of History, 1992
Examines the role of numbers and statistical data in history research and history instruction. Contends that many historians and history teachers are unwilling or unable to use numeric data effectively. Argues that statistical analysis is essential for many historical themes and topics. (CFR)
Descriptors: Curriculum Design, Economics Education, Elementary Secondary Education, Higher Education

Chapel, David – Social Studies Review, 1995
Maintains that few statistical representations are as tenuous as public opinion. Maintains that social studies students need to be taught to analyze statistical data carefully. Presents and discusses four guidelines for students reviewing statistical information. (CFR)
Descriptors: Attitude Measures, Citizenship Education, Interdisciplinary Approach, Mathematics Instruction
McClure, Charles R.; Lankes, R. David; Gross, Melissa; Choltco-Devlin, Beverly – 2002
This manual is a first effort to begin to identify, describe, and develop procedures for assessing various aspects of digital reference service. Its overall purpose is to improve the quality of digital reference services and assist librarians to design and implement better digital reference services. More specifically, its aim is to: assist…
Descriptors: Electronic Libraries, Evaluation Criteria, Evaluation Methods, Guidelines

Mincy, Robert B.; And Others – Science, 1990
Research which makes possible a quantification of the size, composition, and growth of the underclass is discussed. Trends in the quality of life and the growth of the underclass are presented. (CW)
Descriptors: College Science, Definitions, Demography, Higher Education

Plummer, Robert; And Others – Mathematics Teacher, 1993
Uses a graphing calculator to predict the record for running a mile, throwing a shot put, and high jumping for any year in the future and the probable record for any year before statistics were kept, based on the statistical analysis of prior records. Data tables and a computer program are provided. (MDH)
Descriptors: Athletics, Data Analysis, Educational Technology, Graphing Calculators

O'Reilly, James E. – Journal of Chemical Education, 1986
Outlines the simple exercise of measuring the length of an object as a concrete paradigm of the entire process of making chemical measurements and treating the resulting data. Discusses the procedure, significant figures, measurement error, spurious data, rejection of results, precision and accuracy, and student responses. (TW)
Descriptors: Chemistry, College Science, Error of Measurement, Higher Education
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