On Learning and Teaching Family Therapy

This paper explores some ideas about the process of learning to be a family therapist. It considers the questions: how does one learn to think like a family therapist? How is family therapy best taught? How is it learned? The author's experiences in learning and teaching are described. It is argued that family therapy differs from other approaches to therapy in some fundamental respects, and that learning to ‘be’ a family therapist is a different kind of task than learning to be a practitioner of other therapeutic approaches. The paper examines some key theoretical constructs, especially the idea of ‘levels’ of thinking, which are seen as central to both the learning and practice of family therapy.     

Operationalizing the Construct of Friendship among Children: A Psychometric Comparison of Sociometric-Based Definitional Methodologies

Peer relations researchers generally agree that friendship involves a close, mutual, dyadic relationship. However, the lack of consensus on how to operationalize this construct has limited our understanding of the role of friendship in social adjustment. The present study directly compared the psychometric properties (i.e., number of friendships identified, concordances, and stability) of the five major different definitions of friendship used in the literature. Fourth- and fifth-grade students (N = 90) completed a battery of sociometric measures at two different times separated by eight weeks. Friendship dyads were then identified using the following definitional criteria: (1) mutual positive nominations; (2) mutal high ratings (i.e., 4 or 5 on a five-point Likert-type scale); (3) one positive nomination reciprocated by a rating of 5; (4) one positive nomination and mutual high ratings; and (5) one positive nomination and mutual ratings averaging at least 4. Frequency and concordance analyses indicated differences across the five definitions. In addition, the friendships identified by each of the five definitions were similarly moderate in their stability. Explanations for, and the possible implications of, these differences are discussed.     

Modeling distances between humans using Taylor’s law and geometric probability

Taylor’s law states that the variance of the distribution of distance between two randomly chosen individuals is a power function of the mean distance. It applies to the distances between two randomly chosen points in various geometric shapes, subject to a few conditions. In Réunion Island and metropolitan France, at some spatial scales, the empirical frequency distributions of inter-individual distances are predicted accurately by the theoretical frequency distributions of inter-point distances in models of geometric probability under a uniform distribution of points. When these models fail to predict the empirical frequency distributions of inter-individual distances, they provide baselines against which to highlight the spatial distribution of population concentrations.     

The Shag‐Band Menace: Tracing the Spread of a Contemporary Legend

The internet enables analysts to better track rumors and contemporary legends through time and space. Comments about sex bracelets reveal waves of concentrated attention; the spread of particular variants display a similar pattern. The diffusion of such stories reflects constructions of childhood and adolescent sexuality as social problems.     

International Migration and Development in Asia: Exploring Knowledge Frameworks

There is revived interest and debate on the relation between international migration and development, with Asia emerging as one important locus for such deliberations. A number of institutions, journals, people and organizations have emerged as key players in these discussions but so far there have been few attempts to investigate the information gathered from the perspective of “knowledge production”. This paper’s objective, therefore, is to outline some of the ways in which knowledge about migration and development is being produced in Asia. We focus on selected aspects of knowledge production to identify the lenses through which much of the work is currently generated and the research imagination resulting from existing approaches.     

Determinants of International Migration Flows to and from Industrialized Countries: A Panel Data Approach Beyond Gravity1

We quantified determinants of international migratory inflows to 17 Western countries and outflows from 13 of these countries between 1950 and 2007 in 77,658 observations from multiple sources using panel-data analysis techniques. To construct a quantitative model that could be useful for demographic projection, we analyzed the logarithm of the number of migrants (inflows and outflows separately) as dependent variables in relation to demographic, geographic, and social independent variables. The independent variables most influential on log inflows were demographic [log population of origin and destination and log infant mortality rate (IMR) of origin and destination] and geographic (log distance between capitals and log land area of the destination). Social and historical determinants were less influential. For log outflows from the 13 countries, the most influential independent variables were log population of origin and destination, log IMR of destination, and log distance between capitals. A young age structure in the destination was associated with lower inflows while a young age structure in the origin was associated with higher inflows. Urbanization in destination and origin increased international migration. IMR affected inflows and outflows significantly but oppositely. Being landlocked, having a common border, having the same official language, sharing a minority language, and colonial links also had statistically significant but quantitatively smaller effects on international migration. Comparisons of models with different assumed correlation structures of residuals indicated that independence was the best assumption, supporting the use of ordinary-least-squares estimation techniques to obtain point estimates of coefficients.     

Semiparametric estimation of employment duration models

There are a variety of economic areas, such as studies of employment duration and of the durability of capital goods, in which data on important variables typically are censored. The standard techinques for estimating a model from censored data require the distributions of unobservable random components of the model to be specified a priori up to a finite set of parameters, and misspecification of these distributions usually leads to inconsistent parameter estimates. However, economic theory rarely gives guidance about distributions and the standard estimation techniques do not provide convenient methods for identifying distributions from censored data. Recently, several distribution-free or semiparametric methods for estimating censored regression models have been developed. This paper presents the results of using two such methods to estimate a model of employment duration. The paper reports the operating characteristics of the semiparametric estimators and compares the semiparametric estimates with those obtained from a standard parametric model.     

Contract Length as Risk Management When Labor is not Homogeneous

This paper examines the choice of contract length for workers who possess unique skills. Uncertainty, facing both the worker and the firm, creates an incentive to reallocate risk. The uncertainty arises from two sources: variation in the market value of the worker's human capital and fluctuation in the worker's physical production. Long‐term contracts are typically modeled as compensating wage differentials, or as a solution to the problem of asymmetric information. This paper develops a model proposing more complex behavior in the reallocation of risk between the contracting parties. The model shows that long‐term labor contracts are most likely to be observed when price uncertainty in the labor market exceeds the worker's productive uncertainty.