A short duration group treatment of smoking behavior by stimulus saturation

Two saturation procedures of different lengths were administered to Ss who desired to quit smoking. Ss chain-smoked for either 20 hr (group E₁) or 10 hr (E₂). Total abstinence was the main dependent measure. Both groups experienced relatively equal success on a short-term basis. Long-term abstinence was noted for group E₁ only. Sixty per cent of the E₁ Ss were not smoking 4 months after treatment.     

Personal information in searching for faces

Participants searched for a target on a television monitor either after they viewed pictures and received physical information about the target or received that information augmented by personal information. Based on a levels of processing perspective we predicted that the addition of personal information would stimulate deeper processing and result in better identification performance. Personal information did increase identification accuracy, as anticipated. Personal information also increased the duration of time spent on the search task relative to a distractor task, suggesting that personal information may have done more than deepen the processing at the time of encoding. In the current climate of terrorism, this increase in identification performance via a surveillance camera has clear applied significance.     

Psychometric Modeling of response speed and accuracy with mixed and conditional regression

Human performance in cognitive testing and experimental psychology is expressed in terms of response speed and accuracy. Data analysis is often limited to either speed or accuracy, and/or to crude summary measures like mean response time (RT) or the percentage correct responses. This paper proposes the use of mixed regression for the psychometric modeling of response speed and accuracy in testing and experiments. Mixed logistic regression of response accuracy extends logistic item response theory modeling to multidimensional models with covariates and interactions. Mixed linear regression of response time extends mixed ANOVA to unbalanced designs with covariates and heterogeneity of variance. Related to mixed regression is conditional regression, which requires no normality assumption, but is limited to unidimensional models. Mixed and conditional methods are both applied to an experimental study of mental rotation. Univariate and bivariate analyzes show how within-subject correlation between response and RT can be distinguished from between-subject correlation, and how latent traits can be detected, given careful item design or content analysis. It is concluded that both response and RT must be recorded in cognitive testing, and that mixed regression is a versatile method for analyzing test data.I am grateful to Rogier Donders for putting his data at my disposal.     

Moments in time: metacognition, trust, and outcomes in dyadic negotiations

This research tested the relationships between turning points, cognitive and affective trust, and negotiation outcomes. After completing a simulated negotiation, participants identified turning points from videotape. Turning points were then classified as substantive (interest, offer), characterization (positive, negative), or procedural (positive, negative). Prenegotiation affective trust predicted subsequent turning points, whereas prenegotiation cognitive trust did not, suggesting that different cues influence the two types of trust. Postnegotiation cognitive trust was increased by the occurrence of interest, positive characterization, and positive procedural turning points and decreased by negative characterization turning points. Affective trust was increased by positive procedural turning points. Finally, interest turning points resulted in higher joint outcomes, whereas negative characterization turning points resulted in lower joint outcomes. We conclude that there are two paths to building trust and increasing joint gain, one through insight and one through signaling good faith intentions.     

The aesthetics of behavioral arrangements

With their origins in scientific validation, behavior-analytic applications have understandably been developed with an engineering rather than a crafting orientation. Nevertheless, traditions of craftsmanship can be instructive for devising aesthetically pleasing arrangements-arrangements that people will try, and having tried, will choose to continue living with. Pye (1968) provides suggestions for this, particularly through his distinctions between workmanship of risk versus workmanship of certainty, and the mating of functional precision with effective or otherwise pleasing variability. Close examination of woodworking tools as well as antique machines offers instructive analogues that show, for instance, that misplaced precision can be dysfunctional when precision is not essential to a design. Variability should be allowed or even encouraged. Thus, in the design of behavioral contingencies as well as of practical or purely aesthetic objects, "precise versus variable" is not necessarily a distinction between good and bad. More generally, behavior analysts would do well to look beyond their technical experience for ways to improve the aesthetics of contingency design while continuing to understand the resulting innovations in relation to behavior-analytic principles.     

Integrating neurobiology and psychopathology into evidence-based treatment of social anxiety disorder

Social anxiety disorder (SAD) is a common, chronic psychiatric disorder characterized by a persistent fear of social or performance situations in which embarrassment can occur. This disorder typically appears during the mid-adolescent years and is unremitting throughout life if not properly treated. SAD presents as two subtypes: the more common and debilitating generalized form, and the nongeneralized form, which consists predominantly of performance anxiety. The majority of patients with SAD have comorbid mental disorders, including mood, anxiety, and substance abuse. No single development theory has been proposed to account for the origins of SAD, although current understanding of the etiology of SAD posits an interaction between psychological and biological factors. Risk factors include environmental and parenting influences and dysfunctional cognitive and conditioning events in early childhood. The neurobiology of SAD appears to involve neurochemical dysfunction, as evidenced by studies of neuroreceptor imaging, neuroendocrine function, and profiles of response to specific medications. Clinical trials have demonstrated that benzodiazepines and antidepressants are effective in the treatment of SAD. The selective serotonin reuptake inhibitors are emerging as the first-line treatment for SAD, based on their proven safety, tolerability, and efficacy. Goals for ongoing future research include development of approaches to achieve remission, to convert nonresponders and partial responders to full responders, and to prevent relapse and maintain long-term efficacy. This monograph explores the epidemiology, clinical presentation, and differential diagnosis of SAD, with a focus on neural circuitry of social relationships and neurochemical dysfunction. The prevalence, rates of recognition and treatment, patterns of comorbidity, quality-of-life issues, and natural history of SAD are discussed as well as pharmacologic and psychosocial treatment strategies for SAD.