Book Reviews

F ordham , M ichael . The Making of an Analyst: A Memoir
R edfearn , J oseph . The Exploding Self: The Creative and Destructive Nuckus of the Personality
G ordon , R osemary . Bridges: Metaphor for Psychic Processes
J ackson , M urray and W illiams , P aul . Unimaginable Storms: A Search for Meaning in Psychosis
S tevens , anthony . Jung
W eissman , J udith . Of Two Minds: Poets Who Hear Voices     

Prediction of mood and risk appraisals from trait measures: Two studies of simulated driving

Two contrasting hypotheses concerning the relationship between personality and mood are distinguished. First, broad traits may relate to emotional temperament, and so predict mood across situations. Second, the interactionist approach to personality implies that narrow, context specific traits may sometimes be the most powerful predictors of mood within situations. This article reports correlations between mood and broad and narrow trait measures, the Eysenck Personality Inventory (EPI; Eysenck and Eysenck, 1964) and the Driving Behaviour Inventory (DBI; Gulian, Matthews, Glendon, Davies and Debney, 1989), within the context of vehicle driving. Mood was measured with the UWIST Mood Adjective Checklist (UMACL; Matthews, Jones and Chamberlain, 1990), in two samples before and after a simulated drive. One sample (N = 73) performed a ‘passive’ drive, in which little interaction with other traffic was required. The second sample (N = 93) performed an ‘active’ driving task, in which subjects had to decide when to overtake other vehicles. Results showed that the DBI traits were more strongly related to mood than EPI traits, particularly following the active drive. The DBI Dislike of Driving scale was the strongest single predictor of post-drive mood. Prior to the drive, subjects also rated accident risk, driving skill, and judgement, for themselves and for a ‘peer’ driver of similar age and sex. Analysis of these data in the combined sample (N = 166) showed that the DBI was the more consistent predictor of self-ratings of risk and driving competence, although some relationships between ratings and the EPI were found. Again, the DBI Dislike of Driving scale was the strongest single predictor of self-ratings. Drivers scoring high on this scale seem immune to drivers' general bias towards rating themselves as safer and more competent than their peers. It is concluded that narrow traits are more predictive than broad traits within the driving context. Data are consistent with the transactional model of driver stress, which proposes that dislike of driving is derived from negative secondary appraisals.     

Teaching the Rescorla-Wagner model using STELLA-II

Although the Rescorla-Wagner model is widely taught in learning courses, most textbooks present a simplified version that does not contain all of its parameters. On the basis of Rescorla and Wagner 1972) and the Turbo PASCAL program by Lachnit, Schneider, Lipp, and Kimme! (1988), we created a simulation using STELLA-II, an icon-based program by High Performance Systems, Inc. We argue that this simulation facilitates teaching the complete Rescorla-Wagner model. Using trans-switching (Kimmel & Ray, 1978; Lachnit, 1986; Murrin & Kimmel, 1986) as an example, we demonstrate the effectiveness of the STELLA-II version of the Rescorla-Wagner model as a heuristic tool.     

Modelling cognition in emotional disorder: The S-REF model

Cognitive therapy techniques are applied to an ever-increasing range of psychological disorders. However, both basic methods and general theory of therapy have evolved more slowly. Although cognitive therapy is based on experimentally testable concepts derived from cognitive psychology, an integration of these areas capable of explaining cognitive-attentional phenomena and offering treatment Implications remains to be achieved. In this paper, we outline the Self-Regulatory Executive Function (S-REF) model of emotional disorder, which integrates information processing research with Beck's schema theory. The model advances understanding of the roles of stimulus-driven and voluntary control of cognition, procedural knowledge (beliefs), and of the interactions between different levels of information-processing. It also accounts for cognitive bias effects demonstrated in the experimental psychopathology literature. The model presents implications concerning not only what should be done in cognitive therapy, but how cognitive change may be most effectively accomplished.     

A feed delivery system for the study of choice behavior in cows

A feed delivery system for the study of choice behavior in cows is described. Supportive data are provided for six dairy cows exposed to two-alternative, concurrent variable-interval schedules.     

The family and the child with epilepsy

Reports documenting psychosocial epiphenomena of chronic illness in individuals with that illness have been common in recent years. Few studies, however, have been concerned with how illness might affect the family. Those that have appeared in the literature often lack critical controls (i.e., control groups) and often fail to investigate possible links between illness-specific variables (i.e. chronicity, inhibition of mobility) and psychosocial outcomes on the family. The present study of 45 families focused on how children with epilepsy affect their families' functioning relative to families with a child with diabetes and families with no chronically ill members. The results suggest several areas of child and family adjustment (i.e. child self-concept, family communication, family cohesion) in which the families of epileptic children have great difficulty. Implications of these results are discussed with regard to differential influences of various chronic illnesses on families and family-based preventive and remedial treatment programs.     

Concurrent schedule assessment of food preference in cows

Six dairy cows (Bos taurus) were trained on several pairs of concurrent variable-interval schedules with different types of food available on each alternative. The required response was a plate press made by the animal's muzzle. Performance generally replicated that found with other species. The generalized matching law accounted for the preference data, showing that food preference could be quantitatively analyzed as a special case of response bias. The preference functions showed that the response- and time-allocation ratios were not as extreme as obtained reinforcement rate ratios (undermatching).     

Emotional Intelligence: Toward a Consensus of Models and Measures

This article outlines the many different ways that emotional intelligence (EI) has been conceptualized, measured, and used from the early antecedents of emotional abilities such as facial expression research to the recent multimedia assessment paradigms. The divide between models describing EI as a character trait versus modeling EI as a form of information processing or knowledge is described, with both kinds of models evaluated based on theory and empirical evidence. It is concluded that the latter type of model, exemplified by the four-branch hierarchical model of EI, is the only logical construct to bear the label ‘EI’. Potential emendations to the way EI is currently conceptualized and measured are discussed, with this review covering emotion recognition assessments, situational judgment tests, and multimedia assessments such as the empathic agent paradigm. The article concludes with a suggested agenda for future research in the EI field.     

Social influence matters: We follow pandemic guidelines most when our close circle does

Why do we adopt new rules, such as social distancing? Although human sciences research stresses the key role of social influence in behaviour change, most COVID-19 campaigns emphasize the disease’s medical threat. In a global data set (n = 6,675), we investigated how social influences predict people’s adherence to distancing rules during the pandemic. Bayesian regression analyses controlling for stringency of local measures showed that people distanced most when they thought their close social circle did. Such social influence mattered more than people thinking distancing was the right thing to do. People’s adherence also aligned with their fellow citizens, but only if they felt deeply bonded with their country. Self-vulnerability to the disease predicted distancing more for people with larger social circles. Collective efficacy and collectivism also significantly predicted distancing. To achieve behavioural change during crises, policymakers must emphasize shared values and harness the social influence of close friends and family.