Interactional synchrony: Genuine or spurious? A critique of recent research

In two recent articles, McDowall (1978a, 1978b) has challenged the micro-analytic work of W. S. Condon and Adam Kendon. Specifically, he has argued on the basis of his work that interactional synchrony is not a genuine phenomenon, but rather a statistically expectable noise in social interaction. In this paper, we demonstrate that McDowall's results are inconclusive because of confusion as to what constitutes interactional synchrony. We clarify these issues and place McDowall's experiments in their proper perspective.     

The solipsist patient

The aim of this paper is to widen the clinician's understanding of a narcissistic type, the solipsist (one alone with the self) who is treatable because he or she is the healthiest of narcissists yet a challenge to psychotherapy because the solipsist allows no one to be with him or her. Countertransference is discussed as a primary factor for the therapist to understand and control. The handling of the transference is seen as the key to therapeutic success and is illustrated by case examples.     

Industry and the environment: a case study of cleaner technologies in selected European countries

The aim of this case study is to discuss the role of technology in addressing environmental problems. The paper tries to scratch beneath the surface of the increasingly frequent ‘quick-fix’ solutions to the present environmental problems, based on such beguiling catchwords as Cleaner Technologies, Best Available Technologies, and Best Available Technologies Not Exceeding Excessive Costs, etc., in an attempt to discover whether there is any substance in them, or whether they are just full of hot air. Recent data from case studies performed by the author in Germany and Finland as well as a postal questionnaire in Denmark are presented. The paper analyses and discusses the roles and responsibilities of designers, industrialists, and government policy-makers. It is argued that existing regulatory regimes, supranational industrial structures, and market mechanisms do not favour the development of cleaner technologies, nor do they promote a reduction in consumption patterns. Evidence from ongoing empirical research in Northwest Europe suggests that industry is far from developing and/or implementing cleaner technologies. The paper closes with a discussion of some of the policy implications involved and some examples of urgently needed further research.     

PERFORMANCE OF THE EXPECTED UTILITY METHOD AND TWO OTHER NORMATIVE METHODS IN INSURANCE DECISION MAKING*

In an experiment, thirty-six professional insurance men employed the utility method, the worry method, and the comparison method in two insurance problems to determine the appropriate insurance coverage. It was found that the best act with the utility method almost always was no insurance, whereas the best act with the other two methods tended to be complete insurance. The utility method best act rarely agreed with the subject's actual preferred act, while the comparison method best act usually was the same or almost the same as the actual preferred act. While the worry method suggests that the subjects typically are risk averse, the utility functions obtained tend to show that the subjects typically are not risk averse.     

COMPUTER APPLICATIONS IN TEACHING ECONOMETRICS

In most econometrics courses the students are given limited exposure to the empirical applications of econometric theory. The use of canned programs would make it possible to cover more applied econometric work, and help prepare the students for more empirical work. The computer can be a valuable teaching aid for both instructor and student. The students will also gain valuable experience in the area of computer assisted data analysis. This paper discusses many of the programs appropriate for use in econometrics courses. Examples of problems using programs, and several alternative outlines of possible courses in applied econometrics are presented.     

EFFECTS OF USE OF COMPUTER IN FIRST-YEAR STATISTICS SEQUENCE ON STUDENT ATTITUDES*

The use of computers in teaching statistics can make an impact upon students in two ways. First, it can affect the amount and rate of learning of statistics. Second, it can affect student attitudes toward computers, statistics and quantitative methods. This note reports a study on the effects of the computer in teaching statistics on student attitudes. The data are based on pre- and post-course questionnaires administered in a first-year statistics sequence. The results partly confirm expectations, and partly raise questions for further investigation.