Selecting a family therapy model: the role of personality attributes in eclectic practice*

The expanding knowledge and skill bases within the interdisciplinary family therapy profession pose a significant challenge for evolving practitioners, at whatever stage along the professional development process they find themselves. This challenge raises a basic question regarding whether there are any constraining forces to the level of eclecticism in practice towards which one can aspire. This paper empirically explores the role played by the personality attributes of the family therapist in facilitating and/or inhibiting one's adherence to a variety of approaches to family practice.     

Model averaging inconcentration–QT analyses

This article describes how a frequentist model averaging approach can be used for concentration–QT analyses in the context of thorough QTc studies. Based on simulations, we have concluded that starting from three candidate model families (linear, exponential, and Emax) the model averaging approach leads to treatment effect estimates that are quite robust with respect to the control of the type I error in nearly all simulated scenarios; in particular, with the model averaging approach, the type I error appears less sensitive to model misspecification than the widely used linear model. We noticed also few differences in terms of performance between the model averaging approach and the more classical model selection approach, but we believe that, despite both can be recommended in practice, the model averaging approach can be more appealing because of some deficiencies of model selection approach pointed out in the literature. We think that a model averaging or model selection approach should be systematically considered for conducting concentration–QT analyses. Copyright © 2016 John Wiley & Sons, Ltd.     

ASSESSING ENVIRONMENTAL SCANNING AT THE SUBUNIT LEVEL: A MULTITRAIT-MULTIMETHOD ANALYSIS*

Environmental scanning activities of over 400 top management subunits in 108 European manufacturing firms provided the data base for this research. Four traits (constructs) of scanning using three methods (interest, frequency, and time) were examined. A confirmatory factor analysis approach to multitrait-multimethod (MTMM) data was employed. Verification of the reliability as well as convergent and discriminant validity of the scanning scales are reported and discussed. The viability of confirmatory factor analysis in providing a precise analysis of partitioning variance according to trait, method, and error is demonstrated.     

Can a Knowledge Sanctuary also be an Economic Engine? The Marketization of Higher Education as Institutional Boundary Work

Universities, particularly research‐intensive ones, have responded to a variety of external and internal influences by retooling their missions, culture, and organizational structures to generate revenue from market opportunities. This has resulted in the marketization of higher education: organizational practices that blur the boundary between knowledge‐driven and profit‐driven institutions. This blurring has spurred debates and uncertainties over the scope and boundaries of the 21st century university. We argue that these debates spring from institutional boundary work at the intersection of the three main missions of the contemporary academy: knowledge production, student learning, and satisfying the social charter. These missions can sometimes create areas of synergy, but also tensions that are particularly acute where market logics and business‐oriented practices contradict academic values. Within knowledge production, a key dilemma is the extent to which knowledge advancement should aim for transcendence versus revenue generation. Within student learning, the dilemma involves incommensurability between the ideals of democratic citizenship and demonstrable return on investment. Within the social charter mission, the dilemma is over whether the university can serve the public welfare while also facilitating the growth of local and national economies.     

Moving beyond dualism: A dialogue with Western European and American Indian views of spirituality, nature, and science

Western European and Native American approaches to spirituality, nature, and science have implications for policy decisions now and into the Twenty First century. This essay explicates traditional American Indian and Western European philosophic and spiritual views of nature in order to promote dialogue and inform choices that are crucial regarding the future of the biosphere. A concept of nature, then, is more than just an explanation of how living things interact with one another. It also serves as a reference point for deciphering the meaning of existence itself. Jeremy Rifkin     

Propagation of Uncertainty in Risk Assessments: The Need to Distinguish Between Uncertainty Due to Lack of Knowledge and Uncertainty Due to Variability

In quantitative uncertainty analysis, it is essential to define rigorously the endpoint or target of the assessment. Two distinctly different approaches using Monte Carlo methods are discussed: (1) the end point is a fixed but unknown value (e.g., the maximally exposed individual, the average individual, or a specific individual) or (2) the end point is an unknown distribution of values (e.g., the variability of exposures among unspecified individuals in the population). In the first case, values are sampled at random from distributions representing various "degrees of belief" about the unknown "fixed" values of the parameters to produce a distribution of model results. The distribution of model results represents a subjective confidence statement about the true but unknown assessment end point. The important input parameters are those that contribute most to the spread in the distribution of the model results. In the second case, Monte Carlo calculations are performed in two dimensions producing numerous alternative representations of the true but unknown distribution. These alternative distributions permit subject confidence statements to be made from two perspectives: (1) for the individual exposure occurring at a specified fractile of the distribution or (2) for the fractile of the distribution associated with a specified level of individual exposure. The relative importance of input parameters will depend on the fractile or exposure level of interest. The quantification of uncertainty for the simulation of a true but unknown distribution of values represents the state-of-the-art in assessment modeling.     

Multinomial and conditional logit discrete-choice models in demography

Although discrete-choice statistical techniques have been used with increasing regularity in demographic analyses, McFadden's conditional logit model is less well known and seldom used. Conditional logit models are appropriate when the choice among alternatives is modeled as a function of the characteristics of the alternatives, rather than (or in addition to) the characteristics of the individual making the choice. We argue that this feature of conditional logit makes it more appropriate for estimating behavioral models. In this article, the conditional logit model is presented and compared with the more familiar multinomial logit model. The difference between the two techniques is illustrated with an analysis of the choice of marital and welfare status by divorced or separated women.     

The Simple Bind and Discontinuous Change

The author argues that families usually respond to internal and external demands for change in terms of leaps or transformations to new and different adaptive structural arrangements. Such transformations unavoidably have stress and disruption as a prelude. Transformations are precipitated by paradoxical injunctions called “simple binds”. The presence of “double binds” lead to the disqualification of, and failure of transformations. Symptomatic behaviour of family members can be seen as a product of failed transformations.