A Study of a Network Meeting: Exploring the Interplay between Inner and Outer Dialogues in Significant and Meaningful Moments

The present study is part of a series of qualitative studies focusing on dialogic practice in southern Norway. In this article, we present a qualitative study of a network meeting focusing on the interplay between the participants' inner and outer dialogues. The network meeting is between an adolescent boy, his mother and two network therapists, the same adolescent case discussed previously in this journal by Bøe et al. ( 2013 ). The aim of this study is to explore how the interplay between inner and outer dialogues contributes to significant and meaningful moments for the interlocutors. A multiperspective methodology is used that combines video recordings of a network meeting and participant interviews with text analysis. Our research found the interplay has an important role in understanding the emergence of significant and meaningful moments in therapy. A one‐sided focus on participants' utterances or inner dialogues was insufficient to explain their significance and meaning to the interlocutors. A dialogical approach provides a theoretical frame and concepts that are useful in investigations of therapeutic conversations.     

Using "Bud World Party" attendance to predict adolescent alcohol use and beliefs about drinking

This study explored the association between attendance at the "Bud World Party," a family entertainment venue created by Anheuser-Busch for the 2002 Winter Olympics, and alcohol-related beliefs and current drinking behaviors for a group of 7th and 8th graders who attend a middle school in close proximity to the downtown Salt Lake City plaza where the exhibit and related events were located. Data were collected via a questionnaire administered to 283 students 30 days after the closing ceremonies.. Logistic regression was used to predict recent alcohol consumption. Significant predictors were race (non-white) (OR = 3.9), religiosity (OR = .72), having a parent who drinks (OR = 4.8), the number of best friends who drink (OR = 2.5), and the interaction for "Bud World Party" attendance and gender (OR = 33.2). Post-hoc analysis of the interaction effect indicated that the relationship between "Bud World Party" attendance and recent alcohol consumption is moderated by gender. Girls who visited "Bud World Party" were more likely than the boys to have consumed alcohol in the past 30 days. In addition, the girls who visited "Bud World Party" were more likely to believe that drinking would increase their chances of popularity at school than the students who did not.     

Empowerment in social work: an individual vs. a relational perspective

Social workers with only an individualistic understanding of empowerment will easily end up as moralising agents rather than as facilitators for their clients. It is in the complex interaction between a given socio-material situation and the individual capacity to interpret and act that one finds the key to an empowerment worthy of its name. This presupposes two things: that social workers have as a part of their education theoretical knowledge about organisational structures, and that they themselves have been empowered in ways that give them practical competence to act in relation to situations. They need the competence to identify the complexities of interests and power relations in society. The implication of such a recogni-tion should be clear for the education of social workers: the ideology of empowerment has to be contextualised . To discuss this topic the author makes a distinction between an individua-listic and a relational perspective and between social problems conceived of as a 'lack of money' vs. a 'lack of meaning'.     

Efficient estimation and model selection in large graphical models

We develop a computationally efficient method to determine the interaction structure in a multidimensional binary sample. We use an interaction model based on orthogonal functions, and give a result on independence properties in this model. Using this result we develop an efficient approximation algorithm for estimating the parameters in a given undirected model. To find the best model, we use a heuristic search algorithm in which the structure is determined incrementally. We also give an algorithm for reconstructing the causal directions, if such exist. We demonstrate that together these algorithms are capable of discovering almost all of the true structure for a problem with 121 variables, including many of the directions.     

Recognizing and visualizing departures from independence in bivariate data using local Gaussian correlation

It is well known that the traditional Pearson correlation in many cases fails to capture non-linear dependence structures in bivariate data. Other scalar measures capable of capturing non-linear dependence exist. A common disadvantage of such measures, however, is that they cannot distinguish between negative and positive dependence, and typically the alternative hypothesis of the accompanying test of independence is simply “dependence”. This paper discusses how a newly developed local dependence measure, the local Gaussian correlation, can be used to construct local and global tests of independence. A global measure of dependence is constructed by aggregating local Gaussian correlation on subsets of \(\mathbb{R}^{2}\) , and an accompanying test of independence is proposed. Choice of bandwidth is based on likelihood cross-validation. Properties of this measure and asymptotics of the corresponding estimate are discussed. A bootstrap version of the test is implemented and tried out on both real and simulated data. The performance of the proposed test is compared to the Brownian distance covariance test. Finally, when the hypothesis of independence is rejected, local independence tests are used to investigate the cause of the rejection.     

Change is an Ongoing Ethical Event: Levinas,Bakhtin and the Dialogical Dynamics of Becoming

In this article, we use the intersubjective ethics of Bakhtin and Levinas and a case illustration to explore change in therapy as an ethical phenomenon. We follow Lakoff and Johnson in their emphasis on the way our conceptions of change seem permeated by metaphors. Bakhtin and Levinas both suggest through a language in which metaphors play a crucial role, that human existence—the consciousness and the subject—emerge within the dialogue of the encounter. They both describe the dynamics of human existence as ethical in their origin. Following this, we argue that change may be seen as an ongoing ethical event and that the dynamics of change are found in the ways we constantly become in this event. We investigate the ethical dynamics of this ongoing event through three themes illuminating the contributions of both Bakhtin and Levinas: (1) we become as responsible, (2) we become in speaking, (3) we become in answering the unknown. We explore these themes through a case illustration. Finally, we briefly point out some possible implications for mental health practice.     

Estimating and Testing Nonlinear Local Dependence Between Two Time Series

ABSTRACT

The most common measure of dependence between two time series is the cross-correlation function. This measure gives a complete characterization of dependence for two linear and jointly Gaussian time series, but it often fails for nonlinear and non-Gaussian time series models, such as the ARCH-type models used in finance. The cross-correlation function is a global measure of dependence. In this article, we apply to bivariate time series the nonlinear local measure of dependence called local Gaussian correlation. It generally works well also for nonlinear models, and it can distinguish between positive and negative local dependence. We construct confidence intervals for the local Gaussian correlation and develop a test based on this measure of dependence. Asymptotic properties are derived for the parameter estimates, for the test functional and for a block bootstrap procedure. For both simulated and financial index data, we construct confidence intervals and we compare the proposed test with one based on the ordinary correlation and with one based on the Brownian distance correlation. Financial indexes are examined over a long time period and their local joint behavior, including tail behavior, is analyzed prior to, during and after the financial crisis. Supplementary material for this article is available online.     

Visual extended enterprise engineering and operation-embedding knowledge management and work execution

This paper describes a new approach to extended enterprise engineering and operation-embedding knowledge management and work-tops for work execution. The approach is based on web technologies and a new technology we call active knowledge models (AKM). By developing and using AKMs of extended enterprises, most methodologies, work environments and business solutions will converge. Enterprises will be integrated by externalized shareable knowledge. During forming and managing of extended enterprises, knowledgesharing infrastructures and the process of generating operational solutions will be simplified and facilitated. Extended enterprises will be engineered and managed as reflective, selfadapting AKMs. By using process-oriented methods to externalize internal and tacit knowledge, the AKM technology provides an environment of work-tops and views to produce, share, cultivate and manage situated knowledge. This knowledge will be applied and managed as competences and skills, and as improved methods. AKMs let us benefit from the intrinsic properties of knowledge. They facilitate convergence of methodologies and integration of technologies.     

Associations Online: Barriers for Using Web-Based Communication in Voluntary Associations

Despite the high adoption level of Facebook and other social network sites (SNSs) in Norway, local level voluntary associations have not embraced SNSs to the same degree. Regular websites are the main web representation, and information provision is the main function of the associations’ web representations. Using quantitative data on website content and organizational characteristics we have analyzed which factors hinder SNS adoption. The results point to size and complexity of associations and to age-based digital divides among members as important factors for having a profile on a SNS. It seems that a certain numerical point must be reached in terms of organizational and community size, for SNSs to be useful. Also, older members, smaller economy and a low degree of formalization in associations might hamper the implementation of SNSs in associations. Using Norway as a critical case, this article contributes new knowledge about web communication in voluntary organizations, an increasingly important field of research internationally.