Touch,status, and gender at professional meetings

Observers unobtrusively recorded instances of interpersonal touch at three large academic meetings (two of psychologists, one of philosophers). The names and affiliations of the individuals involved in these touches were later referred to published sources in order to develop codes reflecting the relative personal and institutional statuses of these individuals. There was mixed but on balance no overall evidence that higher-status individuals touched lower-status individuals more than vice versa. However, higher- and lower-status individuals initiated different kinds of touch. Higher-status individuals initiated touch that was judged more often to be affectionate and that was more often directed to the arm or shoulder, whereas lower-status individuals initiated more formal touches and handshakes. Gender asymmetry in touch was very weak overall, but favored male-to-female over female-to-male touch when the two individuals had equal professional status.Judee K. Burgoon served as Action Editor for this article.This research was supported by grant #RR07143 (Biomedical Research Support Grant, Department of Health and Human Services) to Northeastern University and by National Science Foundation grant # SBR-9311544. Thanks are extended to Ellen M. Veccia, who collaborated on the study design; Sabrina Herman, Treniece Lewis, Vanessa Roberts, Garry Germaine, Voravut Ratanakommon, and Alex Zelenchuk, who served as observers; and Denise Marcoux, Curtney Jacobs, Christopher O'Brien, and Alex Zelenchuk, who helped code the status indicators and prepare the touch data for analysis.     

Developing expert systems for management applications

The Alvey Report has resulted in a growing interest in the UK in ‘expert systems’. It is fairly generally accepted, at least in the UK, that such systems function in a particular type of way, i.e. they arrive at decisions through a process of rule based inference. It is suggested that it may be more fruitful to regard rule based inference as one approach to the construction of expert systems, and that proven techniques of operational research may well be more useful in constructing other types of expert system. Alternative applications of expert systems are derived on the basis of a broader definition of an expert system in terms of what it does rather than how it does it. A parallel is drawn between these applications and some typical concerns of business research. It is suggested that a useful aid in identifying promising business applications of expert systems is to set up four ‘dimensions’ along which different types of system differ. Examples are given of where other techniques might conceivably be useful in applications of expert systems.     

Aspects of conversational style—linguistic versus behavioral analysis

Skinner’s functional analysis of verbal behavior has been contrasted with formal linguistic analysis which studies the grammatical structure and “meaning” of verbal response-products, regardless of the circumstances under which they are produced. Nevertheless, it appears that certain areas of linguistic analysis are not entirely structural. In her recent books That’s Not What I Meant (1986) and You Just Don’t Understand (1990), the linguist Deborah Tannen purports to explain how people exhibit different “conversation styles”—that is, how they speak and achieve effects on listeners in different ways. There are indications, however, that the linguistic model may not be the most functional and precise one that could be used in analyzing conversational style. This paper takes concepts presented in Deborah Tannen’s book That’s Not What I Meant (1986), analyzes them from a linguistic and a behavioral perspective, and compares the relative utility of the two approaches.

     

Using difference-based methods for inference in nonparametric regression with time series errors

Summary. We show that difference-based methods can be used to construct simple and explicit estimators of error covariance and autoregressive parameters in nonparametric regression with time series errors. When the error process is Gaussian our estimators are efficient, but they are available well beyond the Gaussian case. As an illustration of their usefulness we show that difference-based estimators can be used to produce a simplified version of time series cross-validation. This new approach produces a bandwidth selector that is equivalent, to both first and second orders, to that given by the full time series cross-validation algorithm. Other applications of difference-based methods are to variance estimation and construction of confidence bands in nonparametric regression.     

Teaching mands by manipulating conditioned establishing operations

Skinner’s (1957) analysis of verbal behavior suggests the functional independence of the verbal operants. However, only a few empirical studies have directly examined the nature of these operants, and their independence. The present study evaluated whether teaching topographies as tacts would lead to their emission as mands. The results indicated that manding only occurred reliably after direct mand training, which consisted of the use of imitative and tact prompts, and fading those prompts, to transfer stimulus control from nonverbal stimuli to conditioned establishing operations. The results contribute to the existing data on the functional independence of mands and tacts, as well as demonstrate the value of manipulating conditioned establishing operations for mand training.

     

Quasi-random resampling for the bootstrap

Quasi-random sequences are known to give efficient numerical integration rules in many Bayesian statistical problems where the posterior distribution can be transformed into periodic functions on then-dimensional hypercube. From this idea we develop a quasi-random approach to the generation of resamples used for Monte Carlo approximations to bootstrap estimates of bias, variance and distribution functions. We demonstrate a major difference between quasi-random bootstrap resamples, which are generated by deterministic algorithms and have no true randomness, and the usual pseudo-random bootstrap resamples generated by the classical bootstrap approach. Various quasi-random approaches are considered and are shown via a simulation study to result in approximants that are competitive in terms of efficiency when compared with other bootstrap Monte Carlo procedures such as balanced and antithetic resampling.     

Conflicting managerial cultures in nonprofit organizations

The increasingly managerial orientation of both staffs and trustees of nonprofit organizations appears to have led to conflict rather than cooperation. A case study of an organizational crisis explores how managerialism has obscured some of the unique constraints under which nonprofits operate and suggests ways of making these constraints more salient.