Naturalistic social cognition: Intersubjectivity in same-sex dyads

The research paradigm that Ickes and his colleagues (Ickes, Robertson, Tooke, & Teng, 1986; Ickes & Tooke, 1988) have developed for the study of naturalistic social cognition was used to explore the phenomenon ofintersubjectivity as it naturally occurs in the initial, unstructured interactions of same-sex (male-male and female-female) dyads. The results of two studies revealed evidence of greater similarity (i.e., convergence) in the thought-feeling content of the male dyad members than in that of the female dyad members on measures pertaining to the quality of their reported feelings. These findings were consistent with the assumption that, due to a normatively narrower range of affective involvement in the male-male dyads, the male dyad members were more likely than the female dyad members to monitor closely the emotional tone of their interaction. In direct support of this assumption, there was significantly less nonverbal involvement (i.e., gesturing, smiling, gazing, mutual gaze) in the male-male dyads in both studies, along with corresponding differences in the variability of these behaviors. In addition, the results of both studies revealed serendipitous evidence of greater similarity in the thought-feeling content of the female, than of the male, dyad members on measures pertaining to the degree of metaperspective taking and to thoughts and feelings about other people. The discussion emphasized the need for theorists and researchers in cognitive social psychology to address those genuinelysocial-cognitive (i.e., intersubjective) phenomena that have traditionally been ignored.The authors would like to express their appreciation to Kristine Arnold, Ray Bristow, Robin Klemick, Laurie Luce, Julie Williams, and Mari Wilson for their assistance in coding the data for the studies reported here.     

Getting my stories straight: A narrativist in quest of congruence

Drawing on his work in the area of narrative gerontology, the author reflects on the measure of congruence that exists between the theories he has been developing about the storied complexity of adult development and his lived experience as an aging individual himself. His reflections include a discussion of his former career as a parish minister and his ongoing passion for “the writing life”. He concludes with some speculation on the possibility of combining his interests in narrative and aging with his continuing interest in theological themes.     

A social ecology approach and applications of urban ecosystem and landscape analyses: a case study of Baltimore,Maryland

The early interactions between plant, animal, and human ecology in the 1920s in the United States provide an initial basis for understanding and directing an integrated ecosystem approach to the study of sociocultural and biophysical patterns and processes of present day cities. However, whereas the human ecology approach of the 1920s and 30s was interested in metaphorical similarities with plant and animal ecologists, we propose a more integrated approach to human ecosystem observation and analysis. A critical feature to an integrated, urban ecosystem approach is the ability of researchers to address the spatial heterogeneity of urban ecosystems; i.e. the development and dynamics of spatial heterogeneity and the influences of spatial patterns on cycles and fluxes of critical resources (e.g. energy, materials, nutrients, genetic and nongenetic information, population, labor, and capital). An important question in this context is how differential access to and control over critical resources affect the structure and function of urban ecosystems.To address this heterogeneity, we illustrate a human ecosystem and landscape approach and how the concept of social differentiation can be applied spatially at different scales with a case study from our research in Baltimore, Maryland. Further, we identify different methods, tools, and techniques that can be used for an integrated, urban ecosystem approach.     

The Maximally Exposed Individual—Comparison of Maximum Likelihood Estimation of High Quantiles to an Extreme Value Estimate

The dose to human and nonhuman individuals inflicted by anthropogenic radiation is an important issue in international and domestic policy. The current paradigm for nonhuman populations asserts that if the dose to the maximally exposed individuals in a population is below a certain criterion (e.g., <10 mGy d(-1)) then the population is adequately protected. Currently, there is no consensus in the regulatory community as to the best statistical approach. Statistics, currently considered, include the maximum likelihood estimator for the 95th percentile of the sample mean and the sample maximum. Recently, the investigators have proposed the use of the maximum likelihood estimate of a very high quantile as an estimate of dose to the maximally exposed individual. In this study, we compare all of the above-mentioned statistics to an estimate based on extreme value theory. To determine and compare the bias and variance of these statistics, we use Monte Carlo simulation techniques, in a procedure similar to a parametric bootstrap. Our results show that a statistic based on extreme value theory has the least bias of those considered here, but requires reliable estimates of the population size. We recommend establishing the criterion based on what would be considered acceptable if only a small percentage of the population exceeded the limit, and hence recommend using the maximum likelihood estimator of a high quantile in the case that reliable estimates of the population size are not available.     

The economic marginality of ethnic minorities: an analysis of ethnic income inequality in Singapore

This paper examines ethnic income inequality in Singapore from the perspectives of labour‐market segmentation and human capital. The findings of this study show that neither perspective is useful in explaining ethnic income inequality in Singapore. Further, the analysis shows that educational differences among the Chinese, Indians and Malays account for very little of the income gap. Much of the income difference is due to discrimination. The source of this discrimination lies in the segregation of ethnic minorities in lower‐paying jobs and occupations across all industries, reflecting Chinese domination in the economic and political spheres.     

Estimation and use of the inverse hyperbolic sine transformation to model non-normal correlated random variables

During the past .20 years, there has been growing recognition of the consequences of the randomness of crop yields and prices for farm management and agricultural policy decisions. Concomitantly, researchers have recognized the possibility and implications of the non-normality of yields and prices. This study demonstrates a method for estimating multivariate non-normality in crop yields and prices over time, using the inverse hyperbolic sine transformation of corn, soya bean and wheat yields. The resulting estimates are used to simulate a multivariate distribution of crop yields.