Choice of reinforcement rates and work rates with concurrent schedules

A constrained optimisation theory or choice in concurrent schedules of reinforcement is presented. The theory posits that subjects evaluate both reinforcement rates and the work rates required to produce them and select the most highly valued combination. The chosen reinforcement rate is obtained by efficiently allocating work rate across schedules. The theory provides a unified explanation for maximisation of the overall reinforcement rate, the law of least effort, choice under Conc FR FR, Conc VR VR. Conc VI VI and Conc VI VR schedules, and choice of work rate.     

Television as a diagnostic indicator in child therapy: An exploratory study

This paper explores the relation between television viewing and clinical indicators for the mental health profession. Television viewing is seen from a systemic process perspective, based on data about children in therapy from therapists and parents. Family viewing patterns appear to be related to certain types of clinical indicators, especially attention deficit disorder and acting out. Of particular interest is the finding of a strong association between parental viewing habits and ADD on the part of children. The results suggest that television may be a useful indicator of family health for mental health practitioners and researchers.     

Influential observations in principal component analysis:a case study

A number of results have been derived recently concerning the influence of individual observations in a principal component analysis. Some of these results, particularly those based on the correlation matrix, are applied to data consisting of seven anatomical measurements on students. The data have a correlation structure which is fairly typical of many found in allometry. This case study shows that theoretical influence functions often provide good estimates of the actual changes observed when individual observations are deleted from a principal component analysis. Different observations may be influential for different aspects of the principal component analysis (coefficients, variances and scores of principal components); these differences, and the distinction between outlying and influential observations are discussed in the context of the case study. A number of other complications, such as switching and rotation of principal components when an observation is deleted, are also illustrated.     

Technical Uncertainty in Quantitative Policy Analysis — A Sulfur Air Pollution Example

Expert judgments expressed as subjective probability distributions provide an appropriate means of incorporating technical uncertainty in some quantitative policy studies. Judgments and distributions obtained from several experts allow one to explore the extent to which the conclusions reached in such a study depend on which expert one talks to. For the case of sulfur air pollution from coal-fired power plants, estimates of sulfur mass balance as a function of plume flight time are shown to vary little across the range of opinions of leading atmospheric scientists while estimates of possible health impacts are shown to vary widely across the range of opinions of leading scientists in air pollution health effects.