Data collected from online learning and tutoring systems for individual students showed strong autocorrelation or dependence because of content connection, knowledge-based dependency, or persistence of learning behavior. When the response data show little dependence or negative autocorrelations for individual students, it is suspected that…

Presents the theoretical aspects of a data analysis methodology that can help transform sequential raw data from a database into useful information, using the statistical analysis of patents as an example. Topics discussed include relational analysis and a technology watch approach. (Contains 17 references.) (LRW)

Investigates the relationships between the parameters of the Simon-Yule model and the shapes of three bibliometric distributions: Lotka's Law of Scientific Productivity; Bradford's Law of Bibliometric Scattering; and Zipf's Law of Word Frequency. The results indicate that the probability of a new entry determines the characteristics of all three…

Proposes a model for technical journal deselection based on the Bradford law of distribution. The model's operational prescriptives, characteristics of the Bradford distribution in the field of pediatrics, and relevance to collection management are discussed. (42 references) (KRN)

A report based on a conference on the impact of cost information on statewide budgeting and planning is presented. The conference was organized around case-study reports on the use of cost information in higher education budgeting in Florida, Indiana, Washington, and Wisconsin. Rather than publishing convention proceedings, the case studies were…