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Thomas, Jerry R., Jr.; French, Karen E. – Research Quarterly for Exercise and Sport, 1986
Meta-analysis is a set of procedures used to quantify, integrate, and analyze the findings of a large number of research studies. The article describes the new statistical techniques used and provides an example of their application to data regarding gender differences in throwing velocity of children and adolescents. (Author/MT)
Descriptors: Meta Analysis, Physical Education, Psychomotor Skills, Research Reports
Rushton, Brian S. – Science Software Quarterly, 1984
Reviews a computer-assisted learning package (available from CONDUIT) which includes an introduction to factorial experimental design, and the analysis of the main effects and interactions of two- and three-factor experiments. Indicates that it is a clearly thorough package putting over a limited idea in a very lucid manner. (JN)
Descriptors: Computer Assisted Instruction, Computer Software, Factor Analysis, Higher Education

Reynolds, Cecil R. – Special Services in the Schools, 1986
Though clinical judgement is necessary for appropriate diagnosis and provision of services to learning disabled children, such judgement must be based on objective evidence. A statistical procedure for applying the severe discrepancy criterion dictated in federal regulations is suggested for objectifying learning disability diagnosis. (Author/DB)
Descriptors: Clinical Diagnosis, Disability Identification, Elementary Secondary Education, Eligibility
Harris, Karen R. – Diagnostique, 1983
Three procedures that help to determine the degree of confidence we can place in any raw score are discussed: computing the standard error of measurement, computing the estimated true score, and constructing confidence intervals. These three procedures are easy to use and require only elementary mathematical skills. (Author/CL)
Descriptors: Disabilities, Elementary Secondary Education, Evaluation Methods, Statistical Analysis

Calhoun, Michael J. – Clearing House, 1982
Suggests a technique for use in teaching science students how to gather and analyze statistical data. (FL)
Descriptors: Biological Sciences, Elementary Secondary Education, Learning Activities, Probability

Yeshurun, Shraga – International Journal of Mathematical Education in Science and Technology, 1980
Presented is an example meant to enable students with a scant mathematical education to grasp the meaning of the limit of the binomial distribution. (Author/TG)
Descriptors: Higher Education, Mathematical Concepts, Mathematical Models, Mathematics Education

Revak, Marie A.; Williams, Jihan G. – Mathematics Teacher, 1999
Presents an experiment to test the statistical hypothesis that Oreo Double Stuf cookies contain twice as much filling as traditional Oreo cookies. (ASK)
Descriptors: Mathematics Activities, Mathematics Instruction, Secondary Education, Secondary School Mathematics

Dynarski, Mark – Economics of Education Review, 1987
To examine the reasons for declining Scholastic Aptitude Test scores during the past two decades, this paper proposes an empirical achievement model incorporating students' demographic characteristics and an expanding test-taking population. While test scores and participation rates are positively correlated, participation changes over time mask…
Descriptors: Academic Achievement, Academic Aptitude, Models, School Demography
Caffarella, Edward P. – School Business Affairs, 1987
Explores current trends in school enrollment, projected enrollment through 2000, and implications for educators. A new baby "boomette", beginning in 1973 and peaking in 1988, will increase school enrollments throughout the 1990s. After 1995, kindergarten enrollment will decline and secondary enrollment, now steadily declining, will…
Descriptors: Birth Rate, Elementary Secondary Education, Enrollment Projections, Enrollment Trends

Doornbos, R.; Dijkstra, J. B. – European Journal of Engineering Education, 1985
Discusses the use of computers in teaching these courses at the Eindhoven University of Technology: (1) regression analysis; (2) generalized linear models; and (3) multivariate statistical methods. Students also use the computer for their final studies for validating statistical tests. (JN)
Descriptors: College Mathematics, Engineering Education, Higher Education, Mathematics Education
Landauer, Edwin G. – Computing Teacher, 1984
Describes a student project which illustrates interrelationships among the topics of random sampling, relative frequency concept of probability, design of experiments, and computer generation of data and which involves determining the configurations of numbers and letters on license plates through a microcomputer program. The computer program is…
Descriptors: Assignments, Computer Programs, Microcomputers, Secondary Education
Lwanga, S. K., Ed.; Tye, Cho-Yook, Ed.; Ayeni, O., Ed. – 1999
This book provides a selection of 23 lesson and seminar outlines designed to encourage the teaching of health statistics. It concentrates on a core of statistical knowledge judged important for all categories of health trainees, including medical students. Emphasis is placed on statistical principles and methods that can help health personnel make…
Descriptors: Administrators, Health, Health Personnel, Lesson Plans

Kibblewhite, D. – Educational Studies, 1981
Describes a practical approach that teachers can use to check for test-item validity in test construction. The Kuder-Richardson Reliability Formula is used. Detailed instructions describe the procedure for evaluating items for difficulty and using statistical methods to determine test validity. (AM)
Descriptors: Elementary Secondary Education, Higher Education, Item Analysis, Statistical Analysis

Harber, Jean R. – Learning Disability Quarterly, 1981
This article suggests ways in which the consumer of educational research can critically evaluate research reports in terms of sample and methodology, design and statistical treatment, and results and interpretation. The reader is alerted to sources of deliberate and nondeliberate bias and to fallacious use and/or interpretation of statistics.…
Descriptors: Critical Reading, Educational Research, Elementary Secondary Education, Research Methodology

Gilman, David A. – Planning and Changing, 1988
This article discusses the uses of production function models and describes the role of inferential statistics for making predictions in school finance. Specifically, the analysis evaluates types, suggests uses, explains the advantages and disadvantages, and lists the statistical complexities of production functions. (JAM)
Descriptors: Educational Finance, Elementary Secondary Education, Prediction, Predictive Measurement