NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Lin, Jinhui – Chinese Education & Society, 2016
The basic relationships among scale, quality, and benefits in Sino-foreign cooperative education are key to the development of cooperative education. It is necessary to construct a theoretical framework for the basic relationships among scale, quality, and benefits in Sino-foreign cooperative education and analyze the questions faced in…
Descriptors: Cooperative Education, International Educational Exchange, Educational Cooperation, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Curran-Everett, Douglas – Advances in Physiology Education, 2011
Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This seventh installment of "Explorations in Statistics" explores regression, a technique that estimates the nature of the relationship between two things for which we may only surmise a mechanistic or predictive…
Descriptors: Regression (Statistics), Statistics, Models, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Laumakis, Paul – Mathematics Teacher, 2011
When taking mathematics courses, students will sometimes ask their recurring question, "When will I ever use this in real life?" Educators are often unable to provide a direct connection between what they are teaching in the classroom and a real-life application. However, when such an opportunity does arise, they should seize it and…
Descriptors: Regression (Statistics), Mathematics Instruction, Mathematics, Mathematics Curriculum
Peer reviewed Peer reviewed
Direct linkDirect link
Goodwin, Laura D.; Leech, Nancy L. – Journal of Experimental Education, 2006
The authors describe and illustrate 6 factors that affect the size of a Pearson correlation: (a) the amount of variability in the data, (b) differences in the shapes of the 2 distributions, (c) lack of linearity, (d) the presence of 1 or more "outliers," (e) characteristics of the sample, and (f) measurement error. Also discussed are ways to…
Descriptors: Effect Size, Correlation, Influences, Error of Measurement
Peer reviewed Peer reviewed
Headrick, Todd C.; Sawilosky, Shlomo S. – Psychometrika, 1999
Proposes a procedure for generating multivariate nonnormal distributions. The procedure, an extension of the Fleishman power method (A. Fleishman, 1978), generates the average value of intercorrelations much closer to population parameters than competing procedures for skewed and heavy tailed distributions and small sample sizes. Reports Monte…
Descriptors: Correlation, Equations (Mathematics), Monte Carlo Methods, Multivariate Analysis
Friedman, Larry P. – 1984
Few methods have been tried and used to graphically represent more than two variables. This poster session showed a new method for representing three continuous variables on a single scatterplot using the THREEDE computer program. Two variables are represented as a normal bivariate distribution. The third variable is represented by a symbol, e.g.…
Descriptors: Computer Graphics, Computer Software, Correlation, Data Analysis
Barrow, Lisa – Federal Reserve Bank of Chicago, 2002
Any voucher program that is going to have a major impact on a public education system is likely to require an expansion of private schools in order to accommodate increased demand; however, little is known about where private schools open and therefore how a major voucher program might affect private school availability in various communities.…
Descriptors: Neighborhoods, Public Schools, Private Schools, Grade 3