Cross-fertilization versus transmission: Recommendations for developing a bidirectional approach to psychotherapy dissemination research

Psychotherapy researchers are increasingly engaged in collaborations with clinical practitioners and mental health administrators. Each party brings its own perspectives, values, and agendas to bear in these encounters. Viable research—practice collaborations depend on understanding and negotiating some of the tensions in these relationships. In this article, we discuss the contexts that prevail for various participants in a psychotherapy dissemination study as well as the values, goals, costs, and benefits related to research participation. This article is a collaboration among the researchers, mental health administrators, therapists, and clients involved in an ongoing treatment dissemination study. Our recommendations for research—practice collaborations are based on our experiences and dialogues over the course of this study.     

The reliability and validity of Raven's Standard Progressive Matrices for Irish apprentices

The Standard Progressive Matrices (SPM) is a 'test of a person's capacity at the time of the test to apprehend meaningless figures presented for his observation, see the relations between them, conceive the nature of the figure completing each system of relations presented and, by so doing, develop a systematic method of reasoning' (Raven et al., 1983, p. 2). It was developed in Britain in the mid-1930s (see Penrose and Raven, 1936) as a non-verbal measure of Spearman's 'g' factor, eduction of relations among abstract items.     

Nonmonotonic Reasoning and Causation

It is suggested that taking into account considerations that traditionally fall within the scope of computer science in general, and artificial intelligence in particular, sheds new light on the subject of causation. It is argued that adopting causal notions con be viewed as filling a computational need: They allow reasoning with incomplete information, facilitate economical representations, and afford relatively efficient methods for reasoning about those representations. Specifically, it is proposed that causal reasoning is intimately bound to nonmonotonic reasoning. An account of causation is offered that relies upon this connection, and compares this proposal to previous accounts within philosophy and artificial intelligence.