Issuing and Responding to Unusual Questions: A Conversation Analytic Account of Tom Andersen's Therapeutic Practice

Tom Andersen is considered one of the key contributors to the development of postmodern practice. Little is known, however, about the ways in which his ideas and practices are routinely carried out in situ. We used Conversation Analysis (CA) to investigate a session of couple therapy facilitated by Andersen. We show how Andersen and client participants oriented to and addressed problems of understanding that occurred between them. The source of this trouble was Andersen's use of unusual question formulations. We offer preliminary evidence that such unusual formulations served particular interactional and institutional (i.e., therapeutic) functions in their local contexts of use. We conclude by considering some implications of this analysis—and of conversation analytic inquiry more generally—for the practice of family therapy.     

The Influence of Career Planning on Career Thoughts in STEM‐Interested Undergraduates

Undergraduate career planning courses have shown efficacy in decreasing students’ negative career thoughts; however, universities have minimally applied these courses to science, technology, engineering, and math (STEM) populations. This study compared the influence of a STEM‐focused career planning course for undecided STEM students with a seminar course for decided STEM majors. An analysis of covariance with covariate adjustment revealed that undecided career planning students had lower adjusted mean scores on a measure of negative career thinking than the decided STEM majors after the first semester of college. The results provide support for the efficacy of STEM‐focused career planning courses and measuring negative career thoughts with STEM undergraduates.     

THE USE OF AGGREGATE DATA TO ESTIMATE GOMPERTZ‐TYPE OLD‐AGE MORTALITY IN HETEROGENEOUS POPULATIONS

We consider two related aspects of the study of old‐age mortality. One is the estimation of a parameterized hazard function from grouped data, and the other is its possible deceleration at extreme old age owing to heterogeneity described by a mixture of distinct sub‐populations. The first is treated by half of a logistic transform, which is known to be free of discretization bias at older ages, and also preserves the increasing slope of the log hazard in the Gompertz case. It is assumed that data are available in the form published by official statistical agencies, that is, as aggregated frequencies in discrete time. Local polynomial modelling and weighted least squares are applied to cause‐of‐death mortality counts. The second, related, problem is to discover what conditions are necessary for population mortality to exhibit deceleration for a mixture of Gompertz sub‐populations. The general problem remains open but, in the case of three groups, we demonstrate that heterogeneity may be such that it is possible for a population to show decelerating mortality and then return to a Gompertz‐like increase at a later age. This implies that there are situations, depending on the extent of heterogeneity, in which there is at least one age interval in which the hazard function decreases before increasing again.     

Using Bayesian graphical models to model biases in observational studies and to combine multiple sources of data: application to low birth weight and water disinfection by-products

Summary.  Data in the social, behavioural and health sciences frequently come from observational studies instead of controlled experiments. In addition to random errors, observational data typically contain additional sources of uncertainty such as missing values, unmeasured confounders and selection biases. Also, the research question is often different from that which a particular source of data was designed to answer, and so not all relevant variables are measured. As a result, multiple sources of data are often necessary to identify the biases and to inform about different aspects of the research question. Bayesian graphical models provide a coherent way to connect a series of local submodels, based on different data sets, into a global unified analysis. We present a unified modelling framework that will account for multiple biases simultaneously and give more accurate parameter estimates than standard approaches. We illustrate our approach by analysing data from a study of water disinfection by-products and adverse birth outcomes in the UK.     

Daring to care: the role of culturally relevant care in mentoring Black and Latino male high school students

This study seeks to challenge the uni-dimensional way care in school is written about by highlighting an often overlooked aspect of care – the kind that students do for each other. Data is drawn from focus groups conducted with the youth participants and founder of Umoja Network for Young Men (UMOJA), an all-male, school-based mentoring program for over-aged and under-credited (OA/UC) high school students. The authors draw on theories of culturally relevant pedagogy, care, and critical pedagogy to present the findings and propose a form of culturally relevant care (CRC) that entails warm demanding and building mutual trust. This study highlights the humanizing experiences of the Black and Latino male transfer students and their mentor. This focus on the experiences of young Black and Latino male participants seeks to shift the discourse from one focused on deficits to one that recognizes their agency and capacities for social and academic success.