The Probable Extent of Minor Mental Illness in the Adult Clients of Social Workers: A Research Note

Summary A small scale pilot study was conducted in two area teams andfour part-time GP attachment schemes to test the use of a psychiatricscreening instrument (GHQ28) and social assessments. The instrumentswere administered at case allocation and again at three months.Few clinical and social changes were observed in the short term.It was found that 27 out of 40 cases (68%) were identified bythe psychiatric screening instruments as probable cases of minordisorder, on both occasions, and that a further seven clientscould have had a transient disturbance. On the basis of theseresults it was felt that a larger two-stage enquiry was warranted,and necessary, before definite conclusions could be drawn.     

Social Work -- an aspiring Profession and its Difficulties

Summary Social Workers are under pressure to firmly establish theiroccupation as a profession. The purpose of this paper is tofocus attention on two rather neglected areas in the debateabout professionalization. Firstly, to suggest a more helpfulway in which to analyse the evolution of a profession than isconventionally accepted. And secondly, to question the validityof the kind of strategies appropriate to this process for thosewho would identify with the dispossessed in our society     

Performance of Robust GCV and Modified GCV for Spline Smoothing

Abstract. While it is a popular selection criterion for spline smoothing, generalized cross‐validation (GCV) occasionally yields severely undersmoothed estimates. Two extensions of GCV called robust GCV (RGCV) and modified GCV have been proposed as more stable criteria. Each involves a parameter that must be chosen, but the only guidance has come from simulation results. We investigate the performance of the criteria analytically. In most studies, the mean square prediction error is the only loss function considered. Here, we use both the prediction error and a stronger Sobolev norm error, which provides a better measure of the quality of the estimate. A geometric approach is used to analyse the superior small‐sample stability of RGCV compared to GCV. In addition, by deriving the asymptotic inefficiency for both the prediction error and the Sobolev error, we find intervals for the parameters of RGCV and modified GCV for which the criteria have optimal performance.     

A MODEL OF SITE‐SPECIFIC ANTECEDENTS OF ISO 14001 CERTIFICATION

ISO 14001 constitutes a major dilemma for many American firms. This new standard holds the promise of waste reduction and better process management, but the benefits and costs are very difficult to predict. This study attempts to identify and explain antecedents impacting the decision to pursue certification for some of the first plants certified in the United States. Using data from a large survey of U.S. managers and a Logit analysis, we find the factors influencing management decisions to actively pursue ISO 14001 certification to be distinctly different from those factors influencing management's decision not to pursue certification. For the latter, the decision is economically based; for the former, it is driven by other, more qualitative considerations.     

USING RUN-LENGTH DISTRIBUTIONS OF CONTROL CHARTS TO DETECT FALSE ALARMS

Run-length distributions for various statistical process-control charts and techniques for computing them recently have been reported in the literature. The real advantages of knowing the run-length distribution for a process-control chart versus knowing only the associated average-run length of the chart have not been exploited. Our purpose is to use knowledge of the run-length distribution as an aid in deciding if an out-of-control signal is a true signal or merely a false alarm. The ability to distinguish between true and false signals is important, especially in operations where it is costly to investigate the causes of out-of-control conditions. Knowledge of the run-length distribution allows us to compute likelihood ratios, which are simple to calculate and to interpret and which are used to determine the odds of obtaining an out-of-control signal at a particular run length when a shift in the process mean actually has occurred vis-a-vis no such shift. We extend our analysis in a Bayesian sense by incorporating prior information on the distribution of the shift size of the process mean, combined with the likelihood ratio obtained from the run-length distribution, to determine if a shift larger than a critical size has occurred. We give examples for the Shewhart chart, the exponentially weighted moving-average chart, and the special-cause control chart for processes with autocorrelated observations. The examples show that the current recommended usage of the average-run length alone as a guide for determining whether a signal is a false alarm or otherwise can be misleading. We also show that the performance of the traditional charts, in terms of their average-run length, can be enhanced in many instances by using the likelihood-ratio procedure.     

STRATEGIC PRODUCTION COMPETENCE: CONVERGENT,DISCRIMINANT, AND PREDICTIVE VALIDITY

A resource-based construct of manufacturing competence, termed strategic production competence, is examined with respect to its convergent, discriminant, and predictive validity. The construct evaluates manufacturing performance across a comprehensive domain of competitive priorities relative to item importance and performance. Data from an earlier study of furniture firms (n = 65) are used for statistical testing. The results establish the convergent and discriminant validity of strategic production competence and show that it is positively related to business performance.