Evolution of behavioral attractors with learning: nonequilibrium phase transitions.

Learning a bimanual coordination task (synchronization to a visually specified phasing relation) was studied as a dynamical process over 5 days of practicing a required phasing pattern. Systematic probes of the attractor layout of the 5 Ss' coordination dynamics (expressed through a collective variable, relative phase) were conducted before, during, and after practice. Depending on the relationship between the initial coordination dynamics (so-called intrinsic dynamics) and the pattern to be learned (termed behavioral information, which acts as an attractor of the coordination dynamics toward the required phasing), qualitative changes in the phase diagram occurred with learning, accompanied by quantitative evidence for loss of stability (phase transitions). Such effects persisted beyond 1 week. The nature of change due to learning (e.g., abrupt vs. gradual) is shown to arise from the cooperative or competitive interplay between behavioral information and the intrinsic dynamics.     

Gender and Wellness: A Multidimensional Systems Model for Counseling

An expanded view of health is advocated for assessment and treatment of individual clients in helping them achieve and maintain their maximum potential for high-level wellness. In addition, moderating variables, such as culture, age, and gender differences, have an impact on every dimension of health and wellness. In this article a multidimensional systems model for wellness is described, and gender differences along those dimensions are reviewed. Application of the model and implications for counseling are discussed. Finally, two illustrative case examples, one man and one woman, are described.     

Applied behavior analysis and the movement to restructure schools: Compatibilities and opportunities for collaboration

The field of applied behavior analysis has devoted considerable effort to the problem of educating America's youth. In addition to developing a wide range of procedures to improve children's academic and classroom survival skills, behavioral researchers have discussed a wide range of technological characteristics that are likely to facilitate the adoption of their procedures by educational decision-makers and practitioners. A movement to restructure American schools has become highly popularized within educational, political, and public media forums over the past several years. One general characteristic of this movement is its failure to recommend the more frequent implementation of applied behavior analysis techniques to educate America's youth. A close inspection of three global models for school reform, however, reveals notable compatibilities with the focus and goals of applied behavior analysis. Applied behavior analysts can collaborate with and contribute to the school restructuring movement by pursuing the more formal and systematic analyses of characteristics essential to the adoption process.     

TEACHING SUPPORTED EMPLOYEES WITH SEVERE MENTAL RETARDATION TO SOLVE PROBLEMS

Two individuals with severe mental retardation, employed by a janitorial supply company, were taught to use self-instruction in combination with multiple exemplar training to solve work-related problems. Use of the combined strategy resulted in generalization of the effects of independent variables, as well as generalization to nontrained problems. Use of the strategy is discussed in terms of promoting independent performance among supported employees.     

Intervening causation and the mitigation of responsibility for harm doing II. The role of limited mental capacities

The present study investigated (i) the conditions under which the proximal cause of an event affects judgments of a distal cause, (ii) the capacities persons need to be held responsible for their actions, and (iii) the relationship between judgments of causation, blame, and restitution. Subjects read about situations in which an initial act, in combination with a later behavior by a second person, produced harm. The age and mental state of the second person were varied. It was found that cause and blame assigned to the initial action was greater when the second person was a child or mentally disturbed, as compared to a sane adult. Causal and moral responsibility were related to the understanding, reasoning capacity, and ability to control behavior of the person judged. Finally, support was obtained for an entailment model of the relations between judgments of causation, blame, and restitution.     

The relation between classroom social status and classmate likability,compromising skill,temperament, and neighborhood social interactions

Classmate likeability, compromising skill, and temperament (n = 135) and after-school patterns of social interaction (n = 101) were examined for third through seventh grade children who were identified by a binomial probability model as popular, rejected, neglected, or average in the classroom setting. Significant effects were obtained for each type of score. Compared to the other social status groups, popular children were the best liked and rejected children were the least liked; neglected and average children fell between these two extremes. Popular children had higher compromising scores than either rejected or average children, and neglected children had higher scores than rejected children. Compared to average children, rejected children had higher attention and rhythmicity temperament scores. Finally, popular and average children had more neighborhood friends than either rejected or average children, and meglected children had more younger neighborhood friends than did average children. Results are discussed in terms of models of peer social status.     

When perceptual or motor sets are changed: Effects of updating demands on structure and energy of P300

It was attempted to disentangle the effect of two updating processes on P300. Three conditions were created by a priming paradigm: (1) No updating, (2) updating perceptual but no motor information, and (3) updating both perceptual and motor information. As expected, both updating conditions led to a P300-complex with more energy, but the additional demand of motor updating did not affect P300. Effects were similar for both delayed (experiment 1) and immediate responding (experiment 2).

Both experiments confirmed earlier observations that P300 consists of at least three subcomponents, namely P3a, P3b, and a positive Slow Wave (pSW). Perceptual updating affected in particular the energy of P3b and pSW. Further, pSW was related to the complexity of the updating operations. When stimuli consisted of abstract symbols there was more energy in pSW than when stimuli were concrete symbols with direct spatial relations to the response.

The structure and energy changes of P300 suggest that P3b and pSW do not provide an unambiguous picture of the underlying source structure. In some conditions only one peak (P3b) was observed in the surface structure; this still seemed to be the result of two underlying waves. In other conditions these waves were separated in time showing a clear double peak in the surface structure.     

Iterative least squares estimates of communality: Initial estimate need not affect stabilized value

A common criticism of iterative least squares estimates of communality is that method of initial estimation may influence stabilized values. As little systematic research on this topic has been performed, the criticism appears to be based on cumulated experience with empirical data sets. In the present paper, two studies are reported in which four types of initial estimate (unities, squared multiple correlations, highestr, and zeroes) and four levels of convergence criterion were employed using four widely available computer packages (BMDP, SAS, SPSS, and SOUPAC). The results suggest that initial estimates have no effect on stabilized communality estimates when a stringent criterion for convergence is used, whereas initial estimates appear to affect stabilized values employing rather gross convergence criteria. There were no differences among the four computer packages for matrices without Heywood cases.     

Combinatorial data analysis: Association and partial association

A combinatorial data analysis strategy is reviewed that is designed to compare two arbitrary measures of proximity defined between the objects from some set. Based on a particular cross-product definition of correspondence between these two numerically specified notions of proximity (typically represented in the form of matrices), extensions are then pursued to indices of partial association that relate the observed pattern of correspondence between the first two proximity measures to a third. The attendant issues of index normalization and significance testing are discussed; the latter is approached through a simple randomization model implemented either through a Monte Carlo procedure or distributional approximations based on the first three moments. Applications of the original comparison strategy and its extensions to partial association may be developed for a variety of methodological and substantive tasks. Besides rank correlation, we emphasize the topics of spatial autocorrelation for one variable and spatial association between two and mention the connection to the usual randomization approach for one-way analysis-of-variance.