Reclassification and documentation in talog cards and a computer stored record

A project to recatalog and reclassify the book collection of the Bowman Gray School of Medicine Library utilizing the Magnetic Tape/Selectric Typwriter system for simultaneous catalog card production and computer stored data acquisition marks the beginning of eventual computerization of all library operations. A keyboard optical display system will be added by late 1970. Major input operations requiring the creation of "hard copy" will continue via the MTST system. Updating, editing and retrieval operations as well as input without hard copy production will be done through the "on-line" keyboard optical display system. Once the library's first data bank, the book catalog, has been established the computer may be consulted directly for library holdings from any optical display terminal throughout the medical center. Three basic information retrieval operations may be carried out through "on-line" optical display terminals. Output options include the reproduction of part or all of a given document, or the generation of statistical data, which are derived from two Acquisition Code lines. The creation of a central bibliographic record of Bowman Gray Faculty publications patterned after the cataloging program is presently under way. The cataloging and computer storage of serial holdings records will begin after completion of the reclassification project. All acquisitions added to the collection since October 1967 are computer-stored and fully retrievable. Reclassification of older titles will be completed in early 1971.     

Statistical methods for analysing discrete and categorical data recorded in performance analysis

In this paper, we identify appropriate statistical methods for analysing categorical differences in discrete variables or 'performance indicators' resulting from performance analysis. The random mechanisms associated with discrete events do not follow a normal distribution; that is, the normal distribution is a continuous not a discrete probability distribution. We propose appropriate statistical methods based on two key discrete probability distributions, the Poisson and binomial distributions. Two approaches are proposed and compared using examples from notational analysis. The first approach is based on the classic chi-square test of significance (both the goodness-of-fit test and the test of independence). The second approach adopts a more contemporary method based on log-linear and logit models fitted using the statistical software GLIM. Provided relatively simple one-way and two-way comparisons in categorical data are required, both of these approaches result in very similar conclusions. However, as soon as more complex models or higher-order comparisons are required, the approach based on log-linear and logit models is shown to be more effective. Indeed, when investigating those factors and categorical differences associated with binomial or binary response variables, such as the proportion of winners when attempting decisive shots in squash or the proportion of goals scored from all shots in association football, logit models become the only realistic method available. By applying log-linear and logit models to discrete events resulting from notational analysis, greater insight into the underlying mechanisms associated with sport performance can be achieved.