Young and Poor: The Well-Being of Adolescent Girls Living in Families Receiving Temporary Assistance for Needy Families Program

We present our findings on the current well-being of 125 adolescent girls living in families receiving Temporary Assistance for Needy Families Program (TANF) in terms of their health, mental health, and substance abuse status, academic performance, and teenage behaviors. This mixed-method study included separate structured face-to-face interviews with each adolescent and her mother. In addition, 20 daughters were randomly selected and completed more in-depth qualitative interviews. The findings suggest that generally the daughters were in good physical health although they reported mental health problems at about twice the rate that would be expected in a general pediatric sample. Further, about 3–5% of the daughters had a potential serious substance abuse problem. With respect to school, about 28% were not currently attending school although the majority of daughters who were attending school maintained a B average or better. Nearly two-thirds of the daughters reported being sexually active and almost 17% of the adolescents had children of their own, much higher than the 2.9% national rate of girls in this age cohort. While many of these daughters life circumstances may not be optimal, findings from both the quantitative and qualitative interviews with both mothers and daughters indicate that these daughters possess many strengths, abilities, and desires.     

Clinical applications of analogue behavioral observation: dimensions of psychometric evaluation

Clinical assessment applications of analogue behavioral observation are discussed in the context of psychometric principles. Analogue behavioral observation involves the measurement of a client's overt behavior in a contrived situation that is analogous to situations that the client is likely to encounter in his or her natural environment. The goal of analogue behavioral observation is to derive valid estimates of the client's behavior in a current or future natural environment. Analogue behavioral observation instruments are often developed with insufficient attention to their psychometric properties, particularly content validity. Psychometric evaluative dimensions vary in their importance, as a function of the goals of the assessment. Although analogue behavioral observation instruments can be sensitive to change, their validity can erode over time and is affected by numerous sources of variance. Analogue behavioral observation assessment may be especially useful in detecting important functional relations in clinical assessment.     

Introduction to the special section on clinical applications of analogue behavioral observation

This Special Section addresses methods, validity, and utility of analogue behavioral observation. Separate contributions to the Special Section cover analogue behavioral observation of marital interaction, child behavior problems, parent-child interaction, and adult social functioning. Additional articles address psychometric foundations of analogue behavioral observations, general issues, and future directions in the development and evaluation of this assessment method. Many published studies were reviewed in detail and issues of validity, clinical assessment utility, and sources of variance in obtained measures are addressed.     

Who's to Blame? Attributions of Blame in Unsuccessful Mixed-Sex Work Teams

This study examined how blame is attributed when mixed-sex teams produce unsuccessful work products. Participants read about a mixed-sex dyad that had worked together on a male sex-typed task and had an unsuccessful group outcome. We varied the information participants received about the performance on the group task. When the only performance information available was group-level feedback, participants attributed more blame to the female teammate than to the male teammate. However, when individual-level feedback was available, participants attributed more blame to the male teammate than the female teammate. Both theoretical and practical implications are discussed.     

Eyes wide open: Facilitating student therapists’ experiences with the unfamiliar

Psychotherapists and counsellors work increasingly with culturally different or unfamiliar clients in the context of global migration and relocation. This paper explores the learning processes of trainee therapists within a South African community clinic context which confronts trainees with cultural diversity and a range of complex and traumatic presenting problems. Learning within this context entails interfacing with the ‘unfamiliar’, a process which challenges students both culturally and personally. Drawing upon the ideas of Wilfred Bion we suggest the importance of supervisory reverie in helping students convert raw sensory data into reflective practice. We suggest that working within community clinic contexts prompts personal anxieties as well as context-related anxieties of persecution or annihilation, of narcissistic injury and of contamination. It is hoped that a psychodynamic understanding may prompt further debate regarding the training of therapists working with diverse populations and problems.     

Assessing categorization performance at the individual level: a comparison of Monte Carlo simulation and probability estimate model procedures

Two analytical procedures for identifying young children as categorizers, the Monte Carlo Simulation and the Probability Estimate Model, were compared. Using a sequential touching method, children aged 12, 18, 24, and 30 months were given seven object sets representing different levels of categorical classification. From their touching performance, the probability that children were categorizing was then determined independently using Monte Carlo Simulation and the Probability Estimate Model. The two analytical procedures resulted in different percentages of children being classified as categorizers. Results using the Monte Carlo Simulation were more consistent with group-level analyses than results using the Probability Estimate Model. These findings recommend using the Monte Carlo Simulation for determining individual categorizer classification.