The Cognitive Psychology of Delusions: A Review

Delusions have for a long time been regarded as one of the major signs of mental disorder. Above all else they are cognitive phenomena in that they purport to express ideas about the world or the self. Despite this it is only relatively recently that the ideas and methods of cognitive psychology have been used in the study of delusions, at least in any systematic way. This paper reviews the work carried out so far, which is starting to yield some consistent trends. These include an excessively self-seeking bias in judgments made by people with delusions and a tendency to make judgments on the basis of rather less evidence than controls.     

The Effect of Four Years of Participation in a Tibetan Buddhist Retreat on Perceptions of Physiological and Psychological Well-Being

The researchers assessed the effect of participation in a Tibetan retreat at a center in Scotland over a 4-year period using the General Health Questionnaire-60 (Goldberg & Williams, 1988) and the Perceived Stress Scale (Cohen, Kamarck, & Mermelstein, 1988), Residence at the retreat center did not show any harmful or beneficial effects on the participants' levels of stress and general health as measured by these scales.     

The correlational analysis of dyad-level data in the distinguishable case

Many theories of interpersonal relationships distinguish between individual-level processes and dyadic or group-level processes. This suggests that two-person relationships should be studied at the level of the dyad as well as at the level of the individual. We discuss correlational methods for dyads when each dyad contains two different types of individuals (e.g., a husband and wife, a mother and child, or an expert and a novice). In such dyadic interaction designs, the dyad members are said to be distinguishable. We present a method for computing the overall correlation for distinguishable dyads, and we discuss a model for separating the dyad-level and individual-level components of such a correlation. The computational techniques and their interpretation are described using data from 98 heterosexual couples.     

Difference score correlations in relationship research: A conceptual primer

The practice of computing correlations between “difference” or “discrepancy” scores and an outcome variable is common in many areas of social science. Relationship researchers most commonly use difference scores to index the (dis)similarity of members of two-person relationships. Using an intuitive, graphical approach—and avoiding formulas and pointing fingers—we illustrate problems with using difference score correlations in relationship research, suggest ways to ensure that difference score correlations are maximally informative, and briefly review alternatives to difference score correlations in studying similarity, accuracy, and related constructs.