Jungian Psychology, the Body, and the Future

Impressive reaffirmation of Jung's archetypal hypothesis has come from developments in behavioural biology (Tinbergen 1951; Cosmides 1985), psycholinguistics (Chomsky 1965), structural anthropology (Lévi-Strauss 1967), developmental psychology (Bowlby 1969), dream research (Jouvet 1975). neuroscience (MacLean 1976), sociobiology (Wilson 1978), and evolutionary psychiatry (Gardner 1988; Gilbert 1989). A close correspondence exists between Jungian theories of dreaming in human beings and modern biological theories of dreaming in animals. A paradigm shift is under way in the direction of a growing cross-disciplinary awareness that all human sciences are about archetypal manifestations and that these apply as much to the body as to the mind. Jungian psychology must keep abreast of these developments if it is not to be sidelined and superseded by less humane therapeutic philosophies.     

A general linear model for estimating effect size in the presence of publication bias

When the process of publication favors studies with smallp-values, and hence large effect estimates, combined estimates from many studies may be biased. This paper describes a model for estimation of effect size when there is selection based on one-tailedp-values. The model employs the method of maximum likelihood in the context of a mixed (fixed and random) effects general linear model for effect sizes. It offers a test for the presence of publication bias, and corrected estimates of the parameters of the linear model for effect magnitude. The model is illustrated using a well-known data set on the benefits of psychotherapy.Authors' note: The contributions of the authors are considered equal, and the order of authorship was chosen to be reverse-alphabetical.     

Ethics education in science and engineering: The case of animal research

Conclusion The past one hundred fifty years of debate over the use of animals in research and testing has been characterized mainly byad hominem attacks and on uncritical rejection of the other sides’ arguments. In the classroom, it is important to avoid repeating exercises in public relations and to demand sound scholarship. This paper is a modification of material originally included in the handbook which accompanied the American Association for the Advancement of Science (AAAS) Seminar “Teaching Ethics in Science and Engineering”, 10–11 February 1993.     

The relationship between qualitative and quantitative research: Lessons from feminist psychology

The dominant methodological approach in psychological research has involved the use of quantitative methods within a positivist framework. In this article we argue that both qualitative and quantitative methods have their strengths and limitations, depending on the research question under investigation. We examine some of the advantages of qualitative methods, paying particular attention to the value of such methods for feminist researchers. We challenge the positivist assumption that all research should be apolitical and value-free, arguing that the political context in which all research studies take place plays an important role in decisions about the appropriate research methods to use. Despite the value attached to qualitative methods by feminist researchers, there may be projects for which quantitative methods, or a combination of qualitative and quantitative techniques, are more suitable. We draw on examples from our research on the transition from school to the job market for young people, and a study of 16- to 19-year-old first time mothers to illustrate these points, examining the practical implications of our arguments for applied social psychology research.     

Developing the matrix representation grid (MRG): A method for observing group processes. Findings from time-limited group psychotherapy for alcohol-dependent patients

The MRG was published 1988 in order to support developments in group psychotherapy methods as one of the all too few process observation research methods for studying group-as-a-whole. After 9 years of what pilot studies have labeled successful clinical trials, this study aims at validating the MRG against the established SAVI: Structural Analysis of Verbal Interaction (Agazarian & Simon 1989). Videotaped group sessions from short-term groups for alcohol dependent patients conducted along two therapy methods, one behaviorally oriented and the other group analytic, are used as material. The MRG is validated in the study, confirmed to be clinically valuable, and some interesting comparisons between the two treatment modalities are also made.     

Competing interests: The need to control conflict of interests in biomedical research

Individual and institutional conflict of interests in biomedical research have becomes matters of increasing concern in recent years. In the United States, the growth in relationships — sponsored research agreements, consultancies, memberships on boards, licensing agreements, and equity ownership — between for-profit corporations and research universities and their scientists has made the problem of conflicts, particularly financial conflicts, more acute. Conflicts can interfere with or compromise important principles and obligations of researchers and their institutions, e.g., adherence to accepted research norms, duty of care to patients, and open exchange of information. Disclosure is a key component of a successful conflict policy. Commitments which conflict with a faculty member's primary obligations to teaching, research, administrative responsibilities, or patient care also need attention. Institutional conflict of interests present different problems, some of which are discussed in an analysis of an actual problem posed by two proposed clinical trials. This paper is adapted from a lecture presented to a Symposium on Scientific Integrity, Warsaw, Poland, 23 November 1995. Daniel Steiner was Vice-President and General Counsel of Harvard University (1972–92) and in that capacity became familiar with conflict of interest issues. He is currently Counsel to the Boston law firm. Ropes and Gray, and is Adjunct Lecturer in Public Policy at the John F. Kennedy School of Government. Harvard University.     

How much woe when we go: A quantitative method for predicting culture shock

Culture shock is defined as the confusion and discomfort caused by the conflict in perceived motives and expected behaviors between the home culture and the foreign culture. Several quantitative and graphical methods employing techniques of cluster analysis and similarity mapping are offered for predicting the magnitude of culture shock between pairs of countries using data extracted from Hofstede's 1980–83 studies of national cultural values. Implications for business, politics, and personal stress management are discussed.     

NATURALISTIC OBSERVATIONS OF INSTITUTIONALIZED RETARDED PERSONS: A COMPARISON OF LICENSURE DECISIONS AND BEHAVIORAL OBSERVATIONS

In the last several years, various organizations have produced strikingly similar documents by which institutions for retarded persons are judged for licensure. The purpose of the present study was to determine whether residential units that were licensed differed from residential units that were not licensed in terms of the active programming behaviors of their staff and residents. Data were collected through a time-sampling procedure that yielded about 160,000 observations on eight staff and six resident behaviors. Results showed that the licensed units were just as derelict as unlicensed units in providing habilitative programming for their retarded residents. Maladaptive responding by residents occurred at least as much as task-related behaviors: residents spent as much time self-stimulating as they did in programming; they also engaged in self-abusive behavior about as much time as they engaged in on-task responding. Results were discussed in terms of the failure of governmental regulations that are not based on observation to adequately assess habilitative programming.     

Time-series analysis in operant research

A time-series method is presented, nontechnically, for analysis of data generated in individual-subject operant studies, and is recommended as a supplement to visual analysis of behavior change in reversal or multiple-baseline experiments. The method can be used to identify three kinds of statistically significant behavior change: (a) changes in score levels from one experimental phase to another, (b) reliable upward or downward trends in scores, and (c) changes in trends between phases. The detection of, and reliance on, serial dependency (autocorrelation among temporally adjacent scores) in individual-subject behavioral scores is emphasized. Examples of published data from the operant literature are used to illustrate the time-series method.