Affect and persuasion: Mood effects on the processing of message content and context cues and on subsequent behaviour

Two experiments are reported examining the impact of recipients' mood on the processing of simple, everyday persuasive communications and on subsequent behaviour. Consistent with the general assumption that affective states may inform an individual about the state of its current environment, it was found that positive (as compared to neutral or negative) mood reduced subjects' motivation to systematically process both content information and contextual cues. Specifically, Experiment I demonstrated that, in a field setting, the behaviour of subjects who had been put in a good mood was less likely to reflect differences in message content than the behaviour of neutral mood subjects. Experiment 2 replicated and extended these findings, showing that good mood subjects' behaviour was uninfluenced by content as well as context information, whereas bad mood subjects did make use of both types of information. Subject's cognitive responses and evaluations paralleled the behavioural data. The results are discussed in terms of their compatibility with contemporary models of persuasion, and their implications for future research on mood and persuasion and on the interplay of affect and cognition in general are considered.     

Probabilistic causality reexamined

According to Nancy Cartwright, a causal law holds just when a certain probabilistic condition obtains in all test situations which in turn satisfy a set of background conditions. These background conditions are shown to be inconsistent and, on separate account, logically incoherent. I offer a corrective reformulation which also incorporates a strategy for problems like Hesslow's thrombosis case. I also show that Cartwright's recent argument for modifying the condition to appeal to singular causes fails.Proposed modifications of the theory's probabilistic condition to handle effects with extreme probabilities (0 or 1) are found unsatisfactory. I propose a unified solution which also handles extreme causes. Undefined conditional probabilities give rise to three good, but non-equivalent, ways of formulating the theory. Various formulations appear in the literature. I give arguments to eliminate all but one candidate. Finally, I argue for a crucial new condition clause, and show how to extend the results beyond a simple probabilistic framework.     

EFFECTS OF WAIT-TIME AND INTERTRIAL INTERVAL DURATIONS ON LEARNING BY CHILDREN WITH MULTIPLE HANDICAPS

We investigated the influence of teacher wait-time and intertrial interval durations on the performance of 4 multiply handicapped students during instruction in 10 skills. Four experimental conditions were evaluated: long wait-time and long intertrial interval, long wait-time and short intertrial interval, short wait-time and long intertrial interval, and short wait-time and short intertrial interval. Instructors attempted to keep short intervals as close as possible to 1 s and long intervals as close as possible to 10 s for both variables. Results showed that student performance was superior under the long wait-time conditions irrespective of the length of the intertrial interval.     

Sexual addiction: Understanding and treating the phenomenon

The authors describe their multi-faceted treatment of sex addicts and co-dependents, make observations about the needs and issues involved in such therapy, and discuss some of the desired outcomes from the combination of professional help and self-help in the treatment regimen.Ralph H. Earle, PhD, and Gregory M. Crow, PhD, are family therapists and psychologists in private practice in Scottsdale, Arizona     

Simplified semantics for relevant logics (and some of their rivals)

This paper continues the work of Priest and Sylvan inSimplified Semantics for Basic Relevant Logics, a paper on the simplified semantics of relevant logics, such asB ⁺ andB. We show that the simplified semantics can also be used for a large number of extensions of the positive base logicB ⁺, and then add the dualising^* operator to model negation. This semantics is then used to give conservative extension results for Boolean negation.