Simple software for impedance cardiography

Simple software techniques for the digital analysis of impedance cardiography data are described. The software digitizes simultaneous impedance and ECG signals, averages these signals over time on a beat-by-beat basis, processes the averaged signals to locate relevant features, and computes heart rate, stroke volume, and cardiac output for the averaged period. The source and executable code, written in Pascal for a PDP-11 with standard peripheral addressing and a VT125 graphics terminal, is available from the authors.     

Predictive Genetic Testing and Alternatives to Face to Face Results Disclosure: A Retrospective Review of Patients Preference for Alternative Modes of BRCA 1 and 2 Results Disclosure in the Republic of Ireland

The traditional model of providing cancer predictive testing services is changing. Many genetic centres are now offering a choice to patients in how they receive their results instead of the typical face-to-face disclosure. In view of this shift in practice and the increasing demand on the ROI cancer predictive testing service, a 2 year retrospective study on patient preference in how to receive a Breast Cancer (BRCA) predictive result was carried out. Results showed that 71.7 % of respondents would have liked to have the option of obtaining their results by telephone or by letter. However, when asked about their actual experience of BRCA predictive results disclosure 40.6 % did still value the face-to-face contact, while 44.9 % would still have preferred to receive results by either post or telephone. No significant difference was found between males and females (p?>?0.05) and those who tested negative or positive for the BRCA mutation (p?>?0.05) in wanting a choice in how their results were disclosed. While the majority expressed a wish to have a choice in how to receive their results, it is important not to underestimate the value of a face-to-face encounter in these circumstances.     

The Impact of Breast Cancer and Its Treatment on Marital Functioning

This article reviews the research that has examined the impact of breast cancer and its treatment on the patient's marital relationship. Breast cancer and its treatment affect not only the patient, but also her intimate partner and their relationship, including their communication, sexual relationship, and role identities. Both positive and negative effects of the experience have been identified. Predictors of marital adjustment following breast cancer are also reviewed, including demographic factors, illness factors, and characteristics of the couple. The strongest predictor of the impact of the cancer experience appears to be the premorbid quality of the relationship. A methodological critique identifies limitations of past research, and suggestions for future research are addressed. Finally, two theoretical paradigms that may account for the impact of breast cancer on relationships are discussed.     

The dependency of schema formation on type of verbal material: Linear orderings and set inclusions

Two paragraph structures, linear orderings (Potts, 1972) and set inclusions (Frase, 1969), were equated on relevant independent variables to examine recognition memory for relationships between pairs of terms. Experiment 1 replicated Potts' findings: Proportion correct was greater on remote than on adjacent linear pairs. For set pairs, however, there was an interaction between remoteness and truth, giving better performance on remote false and adjacent true pairs. It was suggested that the memory representation (schema) for linear structure was predicted by Potts' end-term anchoring and rating-scale strategies, while set structure performance reflected logical errors in processing. Experiment 2, an "open book" test, confirmed this view: In the nonmemory task, there was no evidence of schema formation for linear structure, whereas set performance still merely reflected logical errors in processing.     

Learning on a response continuum: Comparison of a linear change and a functional learning model

Two reinforcement schedules were used to compare the predictive validity of a linear change model with a functional learning model. In one schedule, termed “convergent,” the linear change model predicts convergence to the optimum response, while in the other, termed “divergent,” this model predicts that a subject's response will not converge. The functional learning model predicts convergence in both cases. Another factor that was varied was presence or absence of random error or “noise” in the relationship between response and outcome. In the “noiseless” condition, in which no noise is added, a subject could discover the optimum response by chance, so that some subjects could appear to have converged fortuitously. In the “noisy” conditions such chance apparent convergence could not occur.The results did not unequivocally favor either model. While the linear change model's prediction of nonconvergence in the divergent conditions (particularly the “noisy” divergent condition) was not sustained, there was a clear difference in speed of convergence, counter to the prediction inferred from the functional learning model. Evidence that at least some subjects were utilizing a functional learning strategy was adduced from the fact that subjects were able to “map out” the relation between response and outcome quite accurately in a follow-up task. Almost all subjects in the “noisy” conditions had evidently “learned” a strong linear relation, with slope closely matching the veridical one.The data were consistent with a hybrid model assuming a “hierarchy of cognitive strategies” in which more complex strategies (e.g., functional learning) are utilized only when the simpler ones (e.g., a linear change strategy) fail to solve the problem.     

Spatial,non-spatial and hybrid models for scaling

In this paper, hierarchical and non-hierarchical tree structures are proposed as models of similarity data. Trees are viewed as intermediate between multidimensional scaling and simple clustering. Procedures are discussed for fitting both types of trees to data. The concept of multiple tree structures shows great promise for analyzing more complex data. Hybrid models in which multiple trees and other discrete structures are combined with continuous dimensions are discussed. Examples of the use of multiple tree structures and hybrid models are given. Extensions to the analysis of individual differences are suggested.1976 Psychometric Society Presidential Address.While people too numerous to list here have contributed ideas, inspiration, and other help, I particularly wish to acknowledge the contributions of Sandra Pruzansky, without whom this paper could not have been written. I would also like to acknowledge the past contributions of my long-time colleague Jih-Jie Chang, without whose help I probably would not have beenasked to write it.     

The assessment of empathy in early childhood

In much of the literature on empathy in young children, researchers have assessed empathy with the FASTE (Feshbach and Roe Affective Situations Test for Empathy). Consequently, much of the literature on early affective responsiveness and the role of empathy in prosocial development is dependent on the validity of the FASTE. However, examination of the literature on gender differences in young children's empathy has suggested a methodological flaw in picture/story techniques such as the FASTE; children's responses to these instruments appear to vary as a function of the interaction of sex of experimenter with sex of subject. In the present study, we empirically examined the effects of sex of experimenter on children's responses to the FASTE. Eighty preschool children were randomly assigned by sex to four male and four female experimenters and were administered the FASTE. Children scored higher when interviewed by a same-sex experimenter, especially if only the stories that the children comprehended (the happy/sad episodes, not the anger or fear episodes) were examined. The implications of the findings for interpreting the literature on children's empathy (especially gender differences in empathy) are discussed.     

The role of visual monitoring in observational learning of action patterns: making the unobservable observable

The present experiment tested the hypothesis that concurrent visual feedback enhances observational learning of a novel action pattern that normally would be unobservable. Subjects repeatedly enacted a modeled action pattern with visual monitoring of their reproductions throughout enactments, during only early or late phases of enactment, or not at all. At periodic intervals the adequacy of their conception of the modeled pattern was also measured. Visual feedback during ongoing performance enhanced accurate reproduction of the modeled pattern; the facilitative effect was most pronounced for reproduction of complex response components. The superiority of subjects who had enacted these difficult response components with visual feedback was maintained even when both the model and feedback were withdrawn. Visual feedback did not facilitate accurate enactment of the modeled pattern before development of an adequate cognitive representation of it. The results support the social learning view that observationally-learned behaviors are cognitively represented and that visual monitoring serves to decrease discrepancies between conception and action.     

Sex-role expectations of socially desirable first names

This study was an attempt to investigate the relationship between child-naming practices and the perpetuation of traditional sex-role expectations of masculine and feminine behaviors. It was hypothesized that desirable male and female first names would be rated as more sex-typed the more frequently they occurred in the culture. No relationship on a cross-sex-typed effect was predicted for undesirable first names. Psychology undergraduates (N=149) nominated desirable and undesirable male and female first names. The frequency of nomination was correlated with ratings of masculinity or femininity of the names, and the results supported the hypotheses. A significant correlation was found between frequency and degree of stereotypy of first names rated as desirable, but no effect was found for undesirable first names. These results were discussed in terms of role-conflict theory. Secondary issues raised were the use of androgynous first names and the effects of first names on affirmative action procedures.