Relations on a finite set V are viewed as weighted graphs. Using the language of graph theory, two methods of partitioning V are examined: selecting threshold values and applying them to a maximal weighted spanning forest, and using a parametric linear program to obtain a most adhesive partition. (Author/EM)

This guide to the discovery, analysis, production, communication, and use of statistical information through graphic forms produced by a computer is designed to enable researchers to conduct their analyses and report research results more effectively. It is designed both for individuals with little knowledge about the use of statistical graphs or…

The role of the coauthor relationship in the structure of informal communications networks within disciplines is explored, and the validity of coauthor graphs used to map these relationships is tested for both small and large databases. (CLB)

Introduces Q-analysis, a methodology for investigating a wide range of structural phenomena that defines structures in terms of relations between members of sets and reveals their salient features by using techniques of algebraic topology. Applications relevant to librarianship and information science are reviewed and present limitations…

This research illustrates how statistical analysis of data was presented by the plaintiff's attorneys as evidence in litigation involving sexual and racial discrimination in the case Green v. City of Gadsden. Bar graphs depict the sexual and racial compositions of (1) members of the Gadsden Police Department (GPD), (2) members of the GPD in…

A subset of Statistical Process Control (SPC) methodology known as Control Charting is introduced. SPC methodology is a collection of graphical and inferential statistics techniques used to study the progress of phenomena over time. The types of control charts covered are the null X (mean), R (Range), X (individual observations), MR (moving…

The agreement between visual analysis and the results of the split-middle method of trend estimation was examined using a set of 24 stimulus graphs and 30 raters. Results revealed poor agreement between the two methods, and low sensitivity, specificity, and predictive ability for visual analysis in relation to statistical inferences. (JDD)

This study introduced a probabilistic model utilizing item response theory (IRT) for dealing with a variety of misconceptions. The model can be used for evaluating the transition behavior of error types, advancement of learning stages, or the stability and persistence of particular misconceptions. Moreover, it apparently can be used for relating…

In the context of the discipline of quality control, this paper identifies many of the tools which may reinvigorate the statistical and graphical toolkits in higher education. Certain statistical and graphical issues are discussed by means of examples and hypothetical situations, and techniques are introduced that have application for the pursuit…

Provides a brief overview of single-subject research designs. This method exercises its power by examining changes in single subjects' responses over time across experimental conditions. Describes a classroom project in which students collect repeated measures of their own behavior and graph the data. (MJP)

The focus of this study was on the relationship between visual and statistical analyses of time series data and the degree to which characteristics of the data influenced this relationship. A total of 52 teachers took part in evaluating a series of graphs having prespecified characteristics. The independent variables manipulated included: slope,…

This report provides data to evaluate salary and wage trends in education. The statistical measure used to gauge and compare changes in salaries and wages paid by school systems is the Composite Indicator of Changes (CIC). This measure is designed to reflect changes in much the same way as the Dow Jones Average or the Standard and Poor's Index.…