The Asymptotic Power Of Jonckheere-Type Tests For Ordered Alternatives

For the c -sample location problem with ordered alternatives, the test proposed by Barlow et al . (1972 p. 184) is an appropriate one under the model of normality. For non-normal data, however, there are rank tests which have higher power than the test of Barlow et al ., e.g. the Jonckheere test or so-called Jonckheere-type tests recently introduced and studied by Büning & Kössler (1996). In this paper the asymptotic power of the Jonckheere-type tests is computed by using results of Hájek (1968) which may be considered as extensions of the theorem of Chernoff & Savage (1958). Power studies via Monte Carlo simulation show that the asymptotic power values provide a good approximation to the finite ones even for moderate sample sizes.     

Control at work: a generalized resource factor for the prevention of musculoskeletal symptoms?

During the last two decades two potent groups of predictors for work-related musculoskeletal problems have been identified: physical work load and poor psychosocial working conditions. However, little is known about their combined effects. In this study the buffering effect of control at work with respect to the negative effects of psychological demands and physical work load on musculoskeletal problems is examined. All study variables were sampled from 431 people working in geriatric nursing homes in Germany by means of questionnaires. Main effects and interactions were tested with multiple regression analysis. The results showed that control buffered the effects of high psychological demands, but not of high physical work load; the buffering effect of control was observed only when physical work load was low. The combined effects of demands and physical work load were over-additive. Thus, the power of different predictors for musculoskeletal symptoms depended on the level of other predictors. This suggests that the efficiency of certain strategies for the prevention of musculoskeletal problems is likely to depend on the level of risk factors, with different strategies being appropriate for different levels of risk.     

Resolving Some Therapeutic Impasses by Disclosing Countertransference

Clinical social workers have been shifting their conceptualization of countertransference from the traditional classical modal of a one-person psychology nearer to a two-person psychology, thereby moving the ideal of the blank screen model to one of participant observation. With a two-person psychology now more in vogue, clinical social workers feel much more inclined to share some of their countertransference responses with their patients. Where there is limited consensus is embodied in the question: “Under what circumstances is countertransference disclosure most helpful to our patients?” This paper is an attempt to demonstrate through case vignettes how countertransference disclosure can resolve certain types of therapeutic impasses.     

Equality and inequality constrained multivariate linear models: Objective model selection using constrained posterior priors

In objective Bayesian model selection, a well-known problem is that standard non-informative prior distributions cannot be used to obtain a sensible outcome of the Bayes factor because these priors are improper. The use of a small part of the data, i.e., a training sample, to obtain a proper posterior prior distribution has become a popular method to resolve this issue and seems to result in reasonable outcomes of default Bayes factors, such as the intrinsic Bayes factor or a Bayes factor based on the empirical expected-posterior prior.     

Union characteristics and organizing success

Using archival data, 12 independent variables pertaining to organizing strategy, organizing resources, and financial resources were used to predict the NLRB certification election success rates of national unions in three different time periods. The more than 50 unions participated in more than 75 percent of such elections. Relative to the hypothesized relationships, a mixed set of results was obtained. Possible explanations for these results, along with suggestions for more refined measurement procedures, are offered in terms of future research needs. Financial support for this project was provided by the Graduate School Research Committee at the University of Wisconsin-Madison and by the Graduate and Research Committee, College of Business at the Ohio State University. Data analysis was provided by Kyu Hwang. We thank Marick Masters, Anne Miner, and Craig Olson and an anonymous reviewer for comments. An earlier version of this paper was presented at the Academy of Management meeting, Chicago, August 1986.