Epistemological and ontological issues in counseling: Implications of social systems theory

Philosophical issues related to theoretical and methodological developments in counseling are addressed, especially related to epistemology (theory of knowledge) and ontology (theory of reality). Social systems theory is described as an epistemologically and ontologically significant challenger to psychological theory, which has traditionally predominated as a foundation for counseling approaches. Recent developments from cognitive biology are used to demonstrate how systems theory may be metatheoretical to the psychological point of view, accounting for all that psychological theory can account for, and more.     

The Multilevel Conception of Intentionality: Implications for counselor training

Counseling training programs have failed to differentiate between and among behavioral, cognitive, and unconsciousness dimesnsions. This omission has resulted in confusion and competition in many counseling curricula in that valuable programs are competing for space rather than being integrated systematically. This article proposes a multilevel model of intentionality which integrates the several aspects of the counselor-client relationship. In turn, this integration of behavioral, cognitive, and unconscious dimensions will have important applications in counselor daily practice.     

Measurement of activity in small animals using a microcomputer-controlled system

A computer-controlled system that detects spontaneous activity (locomotion and rearing) and diurnal activity rhythms in small animals is described. Automatic recording of subtotals during test periods provides data about habituation (nonassociative learning). The system is relatively inexpensive to construct. Fabricated from highly reliable circuit components, it provides replicable measures that enable comparisons between different experimental treatments to be made using parametric statistics.     

What do decision models tell us about information use?

This paper develops hypotheses about the implications of different types of decision for the utilization of different types of systematically produced information: data, research, and analysis. The engineering and enlightenment models found in the knowledge utilization literature prove inadequate for this purpose. We turn to three decision models—routine, incremental, and fundamental–and determine their implied demands for information. We also examine how information might be used in scanning procedures in anticipation of decision regime shifts. The results suggest that patterns of information should differ markedly in each decision context and indicate that there may be an inherent bias against the use of research in decision. Evert A. Lindquist, a doctoral candidate at the Graduate School of Public Policy, University of Calfornia at Berkeley, is completing a dissertation onPolicy Institutes in Canada: The Organization and Relevance of Public Inquiry and will join the faculty of the Department of Political Science at the University of Toronto this fall. Organizations, public policy, and the role of information in decision making are among his primary research interests.