Techniques of Structural Family Assessment: A Qualitative Analysis of How Experts Promote a Systemic Perspective

The trajectory of assessment in structural family therapy moves from a linear perspective, in which problems are located in the identified patient, to an interactional perspective, in which problems are seen as involving other members of the family. Minuchin, Nichols, & Lee (2007) developed a 4‐step model for assessing couples and families consisting of: (1) broadening the definition of the presenting complaint to include its context, (2) identifying problem‐maintaining interactions, (3) a structurally focused exploration of the past, and (4) developing a shared vision of pathways to change. To study how experts actually implement this model, judges coded video recordings of 10 initial consultations conducted by three widely recognized structural family therapists. Qualitative analyses identified 25 distinct techniques that these clinicians used to challenge linear thinking and move families toward a systemic understanding of their problems. We discuss and locate these techniques in the framework of the 4‐step model.     

Selfless giving

In four studies, we show that people who anticipate more personal change over time give more to others. We measure and manipulate participants’ beliefs in the persistence of the defining psychological features of a person (e.g., his or her beliefs, values, and life goals) and measure generosity, finding support for the hypothesis in three studies using incentive-compatible charitable donation decisions and one involving hypothetical choices about sharing with loved ones.     

The MMPI–2 Restructured Clinical (RC) Scales and Redundancy: Response to Tellegen,Ben-Porath,and Sellbom

In this article, we examine 5 criticisms of Tellegen, Ben-Porath, and Sellbom (2009/this issue) about our study demonstrating the redundant relationships of the Restructured Clinical (RC) scales with extant MMPI–2 scales. We discuss differences in univariate versus multivariate comparisons of the RC scales and our “proxy” scales using their data. We show that (a) both the RC and extant proxy scales identified in our analyses account for most of the variance in the Clinical scales; (b) the proxy scales are redundant with the RC scales; (c) the proxy scales matched the 6 RC scales in accounting for variance in the Clinical scales exactly in three cases, differed by ≤.02 in 2 cases, and reached a maximum of .11 in one case; (d) the item overlap between RC1 and HEA is not at issue but rather their correlation with Scale 1; and (e) the evidence for the construct validity of the RC scales is weak using findings on the incremental validity of RC4 as illustrative.     

Alternative-based thresholding with application to presurgical fMRI

Functional magnetic reasonance imaging (fMRI) plays an important role in pre-surgical planning for patients with resectable brain lesions such as tumors. With appropriately designed tasks, the results of fMRI studies can guide resection, thereby preserving vital brain tissue. The mass univariate approach to fMRI data analysis consists of performing a statistical test in each voxel, which is used to classify voxels as either active or inactive—that is, related, or not, to the task of interest. In cognitive neuroscience, the focus is on controlling the rate of false positives while accounting for the severe multiple testing problem of searching the brain for activations. However, stringent control of false positives is accompanied by a risk of false negatives, which can be detrimental, particularly in clinical settings where false negatives may lead to surgical resection of vital brain tissue. Consequently, for clinical applications, we argue for a testing procedure with a stronger focus on preventing false negatives. We present a thresholding procedure that incorporates information on false positives and false negatives. We combine two measures of significance for each voxel: a classical p-value, which reflects evidence against the null hypothesis of no activation, and an alternative p-value, which reflects evidence against activation of a prespecified size. This results in a layered statistical map for the brain. One layer marks voxels exhibiting strong evidence against the traditional null hypothesis, while a second layer marks voxels where activation cannot be confidently excluded. The third layer marks voxels where the presence of activation can be rejected.     

Folk concepts and intuitions: from philosophy to cognitive science

Analytic philosophers have long used a priori methods to characterize folk concepts such as knowledge, belief and wrongness. Recently, researchers have begun to exploit social scientific methodologies to characterize such folk concepts. One line of work has explored folk intuitions with cases that are disputed within philosophy. A second approach, with potentially more radical implications, applies the methods of cross-cultural psychology to philosophical intuitions. Recent work in this area suggests that people in different cultures have systematically different intuitions surrounding folk concepts. A third strand of research explores the emergence and character of folk concepts in children. These approaches to characterizing folk concepts provide important resources that will supplement, and perhaps in some cases displace, a priori approaches.