Solution-Focused Therapy in Prison

This is a report on a combined therapy and research project conducted with a seriously criminal population in Swedish prisons and using a Solution-Focused Brief Therapy approach with a focus on networks. Recidivism was significantly lower and less serious among experimental group participants. A case study is included.     

Timing without a timer.

Inferred-process theories propose various internal timing mechanisms to provide discriminative stimuli for temporal control of behavior. Biobehaviorally informed computer simulations indicate that timing may emerge from the action of reinforcement on neural circuits without the need to postulate timers of any sort.     

Unsupervised discovery of nonlinear structure using contrastive backpropagation

We describe a way of modeling high-dimensional data vectors by using an unsupervised, nonlinear, multilayer neural network in which the activity of each neuron-like unit makes an additive contribution to a global energy score that indicates how surprised the network is by the data vector. The connection weights that determine how the activity of each unit depends on the activities in earlier layers are learned by minimizing the energy assigned to data vectors that are actually observed and maximizing the energy assigned to "confabulations" that are generated by perturbing an observed data vector in a direction that decreases its energy under the current model.     

Cluster analysis in community research: Epistemology and practice

Cluster analysis refers to a family of methods for identifying cases with distinctive characteristics in heterogeneous samples and combining them into homogeneous groups. This approach provides a great deal of information about the types of cases and the distributions of variables in a sample. This paper considers cluster analysis as a quantitative complement to the traditional linear statistics that often characterize community psychology research. Cluster analysis emphasizes diversity rather than central tendency. This makes it a valuable tool for a wide range of familiar problems in community research. A number of these applications are considered here, including the assessment of change over time, network composition, network density, person-setting relationships, and community diversity. A User's Guide section is included, which outlines the major decisions involved in a basic cluster analyses. Despite difficulties associated with the identification of optimal cluster solutions, carefully planned, theoretically informed application of cluster analysis has much to offer community researchers. Editor's note: Dr. Edward Seidman served as action editor for this article while serving as Associate Editor for Methodology.     

Netscal: A network scaling algorithm for nonsymmetric proximity data

A simple property of networks is used as the basis for a scaling algorithm that represents nonsymmetric proximities as network distances. The algorithm determines which vertices are directly connected by an arc and estimates the length of each arc. Network distance, defined as the minimum pathlength between vertices, is assumed to be a generalized power function of the data. The derived network structure, however, is invariant across monotonic transformations of the data. A Monte Carlo simulation and applications to eight sets of proximity data support the practical utility of the algorithm.I am grateful to Roger Shepard and Amos Tversky for their helpful comments and guidance throughout this project. The work was supported by National Science Foundation Grant BNS-75-02806 to Roger Shepard and a National Science Foundation Graduate Fellowship to the author. Parts of this paper were drawn from a doctoral dissertation submitted to Stanford University (Hutchinson, 1981).     

French adaptation of the Attentional Control Scale: Confirmatory factor analyses and relationship with trait anxiety and efficiency of orienting,alerting, and executive control attentional networks

BackgroundThe Attentional Control Scale (ACS) is a self-report questionnaire that measures individual differences in attentional control.ObjectiveThis study compared four models of the French version of the ACS and examined its links to trait anxiety and three attentional networks (orienting, alerting, and executive control) measured with the Attention Network Test (ANT).ResultsConfirmatory analyses conducted with a sample of 284 university students supported a two-factor (focusing and shifting) model. For 59 participants who completed the ANT, we found a positive correlation between focusing and the executive control network, while shifting was negatively correlated with alerting and orienting. Trait anxiety was negatively correlated with focusing and the alerting and executive control networks.ConclusionResults are discussed with a view to improving the assessment of attentional control, a key executive dimension for emotion regulation and attentional disengagement in anxiety.     

Residential mobility or mobile residentiality? Exploring the effects of place stability and variety in consumer psychology

Establishing a new residence is a life-changing event with a significant impact on people's psychology and behavior. However, digitalization, the sharing economy, and flexible working conditions have made it easier for people to move, and some people have even abandoned the concept of a permanent residence and adopted a new lifestyle—“mobile residentiality”—in which they seek residence only rarely and temporarily. This article explores the effects of place stability and variety on the consumer's self and identity, social relationships and networks, and personal and societal well-being.     

It’s all about Extraversion: Why Facebook friend count doesn’t count towards well-being

Social relationships are assumed to be among the most important sources of well-being. However, previous studies showing that objectively measured social network size contributes to well-being have not included personality traits. We investigated, in a sample of Facebook users (N = 4701), whether the effects of Extraversion on well-being are mediated by a larger network. Although network size was initially associated with heightened well-being, this association was rendered insignificant when Extraversion was controlled for. Extraversion had a direct positive effect on ratings of Life Satisfaction and Happiness, but none of this effect was mediated by Facebook network size. The previously reported on associations between social network size and well-being could, at least in some contexts, be an artifact of Extraversion.     

Social Isolation and Perceived Barriers to Establishing Social Networks Among Latina Immigrants

Research has identified numerous mechanisms through which perceived social isolation and lack of social support negatively impact health. Little research attention has been dedicated to factors that influence the development of social networks, which have the potential to decrease perceptions of social isolation and provide social support. There is mixed evidence concerning the availability of supportive social networks for Latinos in the US. This study explores trauma-exposed Latina immigrants’ experiences of social isolation in the US and its perceived causes. Twenty-eight Latina immigrant women participated in an interview about traumatic experiences. Informal help seeking and the availability of friendships in the US were also queried. Frequent comparisons between experiences in their home countries and in the US shaped the emerging themes of social isolation and lack of social support. Women reported feeling lonely, isolated, closed-in, and less free in the US due to family separation and various obstacles to developing and maintaining relationships. Socioeconomic, environmental, and psychosocial barriers were offered as explanations for their limited social networks in the US. Understanding experiences of social isolation as well as barriers to forging social networks can help inform the development of social support interventions that can contribute to improved health among Latinos.