Leadership and regressive group processes: A pilot study

Various perspectives on leadership within the psychoanalytic, organizational and socio‐biological literature are reviewed, with particular attention to research studies in these areas. Hypotheses are offered about what makes an effective leader: her ability to structure tasks well in order to avoid destructive regressions, to make constructive use of the omnipresent regressive energies in group life, and to redirect regressions when they occur. Systematic qualitative observations of three videotaped sessions each from N = 18 medical staff work groups at an urban medical center are discussed, as is the utility of a scale, the Leadership and Group Regressions Scale (LGRS), that attempts to operationalize the hypotheses. Analyzing the tapes qualitatively, it was noteworthy that at times (in N = 6 groups), the nominal leader of the group did not prove to be the actual, working leader. Quantitatively, a significant correlation was seen between leaders’ LGRS scores and the group’s satisfactory completion of their quantitative goals (p = 0.007) and ability to sustain the goals (p = 0.04), when the score of the person who met criteria for group leadership was used.     

Probabilistic models of set-dependent and attribute-level best-worst choice

We characterize a class of probabilistic choice models where the choice probabilities depend on two scales, one with a value for each available option and the other with a value for the set of available options. Then, we develop similar results for a task in which a person is presented with a profile of attributes, each at a pre-specified level, and chooses the best or the best and the worst of those attribute-levels. The latter design is an important variant on previous designs using best-worst choice to elicit preference information, and there is various evidence that it yields reliable interpretable data. Nonetheless, the data from a single such task cannot yield separate measures of the “importance” of an attribute and the “utility” of an attribute-level. We discuss various empirical designs, involving more than one task of the above general type, that may allow such separation of importance and utility.     

The costs of benefits: help-refusals highlight key trade-offs of social life.

Social living provides opportunities for cooperative interdependence and concomitant opportunities to obtain help from others in times of need. Nevertheless, people frequently refuse help from others, even when it would be beneficial. Decisions to accept or reject aid offers may provide a window into the adaptive trade-offs recipients make between costs and benefits in different key domains of social life. Following from evolutionary and ecological perspectives, we consider how help-recipient decision making might reflect qualitatively different threats to goal attainment within six fundamental domains of social life (coalition formation, status, self-protection, mate acquisition, mate retention, and familial care). Accepting help from another person is likely to involve very different threats and opportunities depending on which domains are currently active. This approach can generate a variety of novel empirical predictions and suggest new implications for the delivery of aid.     

Prolegomena to a future phenomenology of morals

Moral phenomenology is (roughly) the study of those features of occurrent mental states with moral significance which are accessible through direct introspection, whether or not such states possess phenomenal character – a what-it-is-likeness. In this paper, as the title indicates, we introduce and make prefatory remarks about moral phenomenology and its significance for ethics. After providing a brief taxonomy of types of moral experience, we proceed to consider questions about the commonality within and distinctiveness of such experiences, with an eye on some of the main philosophical issues in ethics and how moral phenomenology might be brought to bear on them. In discussing such matters, we consider some of the doubts about moral phenomenology and its value to ethics that are brought up by Walter Sinnott-Armstrong and Michael Gill in their contributions to this issue.

New Developments in Understanding Skilled Performance

ABSTRACT— Skilled performance, whether it involves rapid and accurate motor movements (such as playing a video game or using a scalpel in the operating room) or a high degree of domain knowledge (such as finding a small tumor in an X-ray or writing a journal article) typically involves learning and practice over an extended period of time. In light of recent theory and empirical research, I consider two enduring issues associated with skill acquisition: whether individuals become more alike in performance or more different over the course of skill acquisition, and what the determinants of individual differences in skilled performance are. Two broad classes of tasks are considered: tasks that involve speed and accuracy of motor movements and tasks that primarily involve domain knowledge. Issues of practice, ability, and other determinants of skilled performance such as gender and aging are discussed.     

Detecting random, partially random, and nonrandom Minnesota Multiphasic Personality Inventory-2 protocols

The ability of the Minnesota Multiphasic Personality Inventory-2 (MMPI-2; J. N. Butcher et al., 2001) validity scales to detect random, partially random, and nonrandom MMPI-2 protocols was investigated. Investigations included the Variable Response Inconsistency scale (VRIN), F, several potentially useful new F and VRIN subscales, and Fb- F>or=30 and Fb>or=90. Protocols completed by 150 adults participating in custody evaluations at a juvenile court setting, screened for randomness with a matched-pair Millon Clinical Multiaxial Inventory-III (T. Millon, R. Davis, & C. Millon, 1997), were compared with 500 computer-generated all-random protocols and with three levels of partially random protocols. VRIN was the most effective scale in detecting uninterpretable random protocols; however, VRIN >or= 80 failed to identify 37% of them. Fb- F>or=30 and Fb>or=90 misidentified 41% of the 50%-65% random protocols as partially interpretable. Using the new scales, a decision algorithm was described that correctly classified 97%-100% of the protocols as interpretable, partially interpretable, or uninterpretable.