Healthy high-hostiles evidence low-alpha power (7.5-9.5Hz) changes during negative affective learning

The present experiment was designed to better understand the impact of positive and negative emotional processing among low- and high-hostile individuals. Based on previous research which found increased sympathovagal balance among low-hostiles to the negative version of the Affective Auditory Verbal Learning Test (AAVL), it was hypothesized that low-hostiles would experience increased cortical arousal to this stimulus whereas their high-hostile counterparts would not. As expected, low-hostiles experienced significantly reduced low-alpha power (7.5-9.5Hz) relative to high-hostiles during the presentation of the negative AAVL. In a replication of prior research, significant primacy and recency effects were noted for the negative and positive word lists, respectively. Results are discussed in terms of cerebral activation theory and the potential impact of emotional processing among high-hostile individuals and their likelihood to develop coronary heart disease.     

Principles for Designing Randomized Preventive Trials in Mental Health: An Emerging Developmental Epidemiology Paradigm

An emerging population-based paradigm is now being used to guide the design of preventive trials used to test developmental models. We discuss elements of the designs of several ongoing randomized preventive trials involving reduction of risk for children of divorce, for children who exhibit behavioral or learning problems, and for children whose parents are being treated for depression. To test developmental models using this paradigm, we introduce three classes of design issues: design for prerandomization, design for intervention, and design for postintervention. For each of these areas, we present quantitative results from power calculations. Both scientific and cost implications of these power calculations are discussed in terms of variation among subjects on preintervention measures, unit of intervention, assignment, balancing, number of pretest and posttest measures, and the examination of moderation effects.     

The (HI)Stories We Live by: Power/Knowledge and Family Therapy in Africa

There is a need to Africanise family therapy so as to serve the interest of local communities. Western approaches to family therapy have been accused of being irrelevant to African contexts. They are seen as forming part of a dominant scientific knowledge which invalidates local folk and cultural psychologies and thereby continuing a historical tradition of oppressive colonial power relations. This paper aims at archaeologising and evaluating such criticism by situating family therapy within different fields of knowledge that have emerged historically and are currently co-existing in Africa. The advantages and disadvantages of dominant family therapy approaches in African contexts are explored by focussing on power relations between different knowledges in Africa. It is argued that many global narratives of family therapy offer congenial companionship to many local African narratives, but that family therapists should pay more attention to local spiritual and political narratives so as to attain more legitimacy and validation by local communities.     

The Freedom-based Account of Solidarity and Basic Income

Real-libertarianism, as it is expressed in Philippe Van Parijs' recent monograph Real Freedom for All is characteristically committed to both self-ownership and 'solidarity’ with the infirm or handicapped. In this article it is argued that the conception of (real) freedom that is used to endorse self-ownership is inconsistent with the conception of (social) freedom or opportunity that is used to justify transfer payments to those with no or low earning capacity. The problem turns around the question whether one's freedom consists in the access one has to a share of the social product or in the measure of economic self-sufficiency one enjoys. Accordingly the role of private property in external resources as a condition for freedom is unclear: is it the basis of people's capacity for self-determination or is it the basis of people's bargaining power? Van Parijs' commitment to self-ownership suggests the former, his commitment to solidarity suggests the latter. A similar ambivalence is pointed out in his argument for a universal basic income, for which Real Freedom for All is so well-known.     

Ethical Considerations in Psychotherapeutic Systems

Theoretical Medicine and Bioethics - In the process of individual psychotherapy, the client and the therapist work together towards clarifying the client's problems, unlocking vicious circles,...     

The statistical analysis of general processing tree models with the EM algorithm

Multinomial processing tree models assume that an observed behavior category can arise from one or more processing sequences represented as branches in a tree. These models form a subclass of parametric, multinomial models, and they provide a substantively motivated alternative to loglinear models. We consider the usual case where branch probabilities are products of nonnegative integer powers in the parameters, 0_s1, and their complements, 1 - _s. A version of the EM algorithm is constructed that has very strong properties. First, the E-step and the M-step are both analytic and computationally easy; therefore, a fast PC program can be constructed for obtaining MLEs for large numbers of parameters. Second, a closed form expression for the observed Fisher information matrix is obtained for the entire class. Third, it is proved that the algorithm necessarily converges to a local maximum, and this is a stronger result than for the exponential family as a whole. Fourth, we show how the algorithm can handle quite general hypothesis tests concerning restrictions on the model parameters. Fifth, we extend the algorithm to handle the Read and Cressie power divergence family of goodness-of-fit statistics. The paper includes an example to illustrate some of these results.This research was supported by National Science Foundation Grant BNS-8910552 to William H. Batchelder and David M. Riefer. We are grateful to David Riefer for his useful comments, and to the Institute for Mathematical Behavior Sciences for its support.     

Child protection investigations: Discourse analysis and the management of incommensurability

This paper asks whether discourse analytic approaches in social psychology have yet produced methodologies adequate to the investigation of institutional ‘gaze’. Institutional language has been explored to the extent that state agencies construct members of the public by speaking about them in particular ways. This has often provided insight into the co-existence and competition of incommensurable discourses. However, studies of representation in the sense of speaking for have been notably absent from social psychology. It is argued that this aspect of discourse is a vital component in the study of contemporary governmental multi-agency strategy in the area of child protection, where recent legislation and policy aims at the coordination of incommensurable discourses. A methodology for studying this strategy is outlined through an account of the actor network approach in science studies, accounts of the State under the post-modern condition, and analyses of sections of interviews with social workers.     

Measuring nominal scale agreement between a judge and a known standard

Two designs for comparing a judge's ratings with a known standard are presented and compared. Design A pertains to the situation where the judge is asked to categorize each ofN subjects into one ofr (known) classes with no knowledge of the actual number in each class. Design B is employed when the judge is given the actual number in each class and is asked to categorize the individuals subject to these constraints. The probability distribution of the total number of correct choices is developed in each case. A power comparison of the two procedures is undertaken.     

Estimation in the power law

Most psychophysicists neglect to consider how error should be characterized in applications of the power law. Failures of the power law to agree with certain theoretical predictions may be due to bias of parameter estimates. A power law with lognormal product structure is proposed and approximately unbiased parameter estimates are given for several common estimation situations.