Multiple Public Service Performance Indicators: Toward an Integrated Statistical Approach

Public service organizations usually produce multiple outputs,measured on different scales, giving rise to a suite of performanceindicators. The traditional approach to statistical analysisof organizational performance has been to develop a separateregression model for each performance indicator. This piecemealapproach, the article argues, may discard valuable information,as it ignores potentially important relationships between individualperformance measures. We therefore propose modeling an organization'sperformance measures simultaneously, using the methods of seeminglyunrelated regressions. The approach implicitly introduces alatent organizational variable into the regressions and maytherefore economize on the need to assemble explicit measuresof organizational characteristics. The method is illustratedusing an example from English public hospitals.     

A scientist's viewpoint on promoting effective use of experimental design: Ten things a scientist wants to know about experimental design

This paper tackles the practical application of statistical tools. Chemical development is a rich area for collaboration between statisticians and chemists, but most statisticians encounter difficulties in promoting the tools to this client group. This paper, presented from a chemist's perspective, is intended to help bridge the gap between the two professions. The paper explores differences in uptake and attitudes towards adopting these techniques and suggests what has hindered or helped the process of effective application of experimental design. Copyright © 2003 John Wiley & Sons, Ltd.     

The use of a hand-held microcomputer in the collection of physiological,subjective and behavioral data in ecologically valid gambling settings

A small, hand-held micro-computer was linked with telemetry equipment to permit simultaneous collection of heart rate, subjective ratings, and behavioral/environmental events. The two objectives satisfied by the system were unobtrusiveness in real-life gambling settings and capacity to down-load data directly to a host computer.This project is supported by the Australian Research Scheme grant no. A 284157490 I. Receiver and transmitters loaned by the Department of Zoology, ANU, and technical advice from Jim Bishop and Lyle Carpenter.     

Considerations on Research in Family Therapy: An Interview with Rudolf Moos

Rudolf Moos, Professor of Psychiatry, Stanford University School of Medicine and Research Career Scientist at the Palo Alto Veterans Administration Medical Centre, is not well known to Australian and New Zealand therapy circles, yet his research into instruments applicable to research into the family and its dynamics is prolific, his personal energy, integrity and dedication are admirable and his persistence at researching the very difficult areas of social environments is unequalled. This interview was recorded at the Social Ecology Laboratory at Veteran's Administration Medical Centre at Palo Alto, where he is Director of the Laboratory.     

AN ALGORITHM FOR THE DESIGN OF 2? FACTORIAL EXPERIMENTS ON CONTINUOUS PROCESSES

Saunders & Eccleston (1992) presented an approach to the design of 2-level factorial experiments for continuous processes. It determined sets of contrasts between the observations that could be well estimated, and then selected a design so that those contrasts estimated the parameters of interest. This paper shows that a well-estimated contrast must have a large number of changes of sign or level, and also be ‘paired’ in a particular sense. It develops an algorithm which constructs designs that must have a large number of changes of sign, evenly spread among the contrasts and optimal or near optimal. When such designs exist they are often preferable to those produced by the reverse foldover algorithm of Cheng & Steinberg (1991).