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.     

Enhancing student engagement through practice experience in social work education: the Social Work Studio

It can sometimes be difficult to engage students in ‘real life experiences’ within the classroom. In one Bachelor of Social Work program, the development of a Social Work Studio (the Studio) has provided students with opportunities to engage in simulated social work practice in a safe and supportive environment. This article reports on a small exploratory study of students' responses to a survey that sought their views and reactions to the development of this Studio initiative. Findings were analysed from a sociocultural perspective. They indicate that students' responses to the development of the Studio reflect their emerging constructions of the cultural world of social work.     

Instituting an XML-First Workflow

Because XML is misunderstood, the method to institute an XML-first workflow is mired in confusion. XML is about defining and structuring content, and is applied through the normal editorial and production process. An XML-first workflow can be easily implemented using the typical software (e.g., Microsoft Word and InDesign) used within the publishing chain. Necessary to an XML-first workflow is a structured consistent methodology. The technical requirements are fairly simple. Once accomplished an XML-first workflow can help publishers meet the business and technological problems we face.     

CERN document server: Document management system for grey literature in a networked environment

Conclusion In this paper we briefly described the current status of research in the field of digital libraries interoperability, mainly with respect to federated data processing such as permitted within the Open Archive Initiative framework. We then presented the CERN Document Server Software suite that is a free software package main-tained by CERN providing an online digital library solution for mid- to large-sized document repositories. The set of CDSware modules was described and the differ-ences with other existing tools briefly mentioned. Finally we have mentioned a typical usage statistics illustrating the scope of grey literature and networked con-ditions of the CERN Document Server. We pointed out that the current trend in grey literature management goes toward institutional repositories build upon the distributed and federated model. Further research is going on within the CDS collaboration in this area, focused particularly on (i) semantic interoperability using ontologies in distributed and federated data processing and (ii) ranking technologies when searching grey literature in OAI compliant repositories.     

Counting the house in public television: A history of ratings use, 1953–1980

This study explores the evolution, diffusion and application of audience research in public television from its origins through the 1970s, the formative period for the system. Shifts in funding structures for public TV and the rise of cable and satellite competition are reflected in the changing practice of such research.     

Evaluation of television drama: Interaction of acting styles and shot selection

That television is basically a low‐key and close‐up medium is demonstrated in the following research undertaken by two members of the Department of Communication Arts and Sciences of Queens College, City University of New York. Alan H. Wurtzel is an instructor at Queens while working on a doctorate at New York University. Dr. Joseph R. Dominick is assistant professor and holds the Ph.D. from Michigan State University. Both authors wish to acknowledge the assistance of their colleague, Dr. Gary Gumpert.