Individual Differences in Interpersonal Accuracy: A Multi-Level Meta-Analysis to Assess Whether Judging Other People is One Skill or Many

Research into individual differences in interpersonal accuracy (IPA; the ability to accurately judge others’ emotions, intentions, traits, truthfulness, and other social characteristics) has a long tradition and represents a growing area of interest in psychology. Measuring IPA has proved fruitful for uncovering correlates of this skill. However, despite this tradition and a considerable volume of research, very few efforts have been made to look collectively at the nature of the tests involved in assessing IPA, leaving questions of the broader structure of IPA unresolved. Is IPA a single skill or a clustering of many discrete skills or some combination of partially overlapping skills? In a multi-level meta-analysis of 103 published and unpublished participant samples (13,683 participants), we analyzed 622 correlations between pairs of IPA tests (135 different IPA tests altogether). The overall correlation between IPA tests was r = .19, corrected for the nesting of correlations within the studies that administered more than two IPA tests and reported several correlations for the same participant sample. Test domain and characteristics were evaluated to explain differences in effect sizes; in general, tests in similar domains and using similar methodologies were more highly correlated with each other, suggesting that there are domains within which individual differences cluster. Implications for future research and IPA measurement were discussed.     

Dynamic approach to linear statistical calibration with an application in microwave radiometry

The problem of statistical calibration of a measuring instrument can be framed both in a statistical context as well as in an engineering context. In the first, the problem is dealt with by distinguishing between the ‘classical’ approach and the ‘inverse’ regression approach. Both of these models are static models and are used to estimate exact measurements from measurements that are affected by error. In the engineering context, the variables of interest are considered to be taken at the time at which you observe it. The Bayesian time series analysis method of Dynamic Linear Models can be used to monitor the evolution of the measures, thus introducing a dynamic approach to statistical calibration. The research presented employs a new approach to performing statistical calibration. A simulation study in the context of microwave radiometry is conducted that compares the dynamic model to traditional static frequentist and Bayesian approaches. The focus of the study is to understand how well the dynamic statistical calibration method performs under various signal-to-noise ratios, r.     

External costs: Myth or rationale for state intervention?

The paper considers the extent to which problems of environmental pollution can be left to the market system. The concept of external cost is used to establish the presumption that market forces will lead to excessive pollution. The performance criterion, that of Pareto efficiency, leading to this presumption is discussed. It is shown that for significant problems of pollution it is not possible to limit the role of the state to that of re-defining property rights. What is necessary is state intervention by way of the taxing, or regulation, of discharges into the environment: where external effects are undepletable, markets cannot meet the requirements of Pareto efficiency. Government intervention to meet such requirements requires that the government has information which is, in practice, either unavailable or very costly. Intervention towards more restricted goals is discussed. It is shown that arguments to the effect that the role of the state can be restricted to defining private property rights are based on assumptions which are irrelevant to significant problems. In particular, it is argued that a recent publication by the Institute of Economic Affairs does not, as claimed, show either that external costs do not exist, or that they exist but imply a minor role for the state in the protection of the natural environment.     

Land fragmentation under rapid urbanization: A cross-site analysis of Southwestern cities

Explosive population growth and increasing demand for rural homes and lifestyles fueled exurbanization and urbanization in the western USA over the past decades. Using National Land Cover Data we analyzed land fragmentation trends from 1992 to 2001 in five southwestern cities associated with Long Term Ecological Research (LTER) sites. We observed two general fragmentation trends: expansion of the urbanized area leading to fragmentation in the exurban and peri-urban regions and decreased fragmentation associated with infill in the previously developed urban areas. We identified three fragmentation patterns, riparian, polycentric, and monocentric, that reflect the recent western experience with growth and urbanization. From the literature and local expert opinion, we identified five relevant drivers ?C water provisioning, population dynamics, transportation, topography, and institutions ?C that shape land use decision-making and fragmentation in the southwest. In order to assess the relative importance of each driver on urbanization, we linked historical site-specific driver information obtained through literature reviews and archival analyses to the observed fragmentation patterns. Our work highlights the importance of understanding land use decision-making drivers in concert and throughout time, as historic decisions leave legacies on landscapes that continue to affect land form and function, a process often forgotten in a region and era of blinding change.     

Matching to prevent adoption disruption

The number of children being freed for adoption placement is increasing due to legislation. These children are frequently the victims of chaotic environments. Their exposure to adversity makes it more difficult for them to maintain long term placements. Suggestions are made toward the utilization of standardized instruments in the matching of adoptive parents and children to prevent adoption disruption.     

Emotional Expressivity and Trustworthiness: The Role of Nonverbal Behavior in the Evolution of Cooperation

Previous research has found that high emotional expressivity contributes to interpersonal attraction independently of and on par with the contributions of physical attractiveness. Using an evolutionary perspective, we argue that emotional expressivity can act as a marker for cooperative behavior or trustworthiness. Theoretical and empirical work from social dilemma research pointing to the advantages of having a signal for cooperation is considered, as well as research from the limited number of studies that have looked at expressive behavior within a social exchange context. We also argue that we need to inject nonverbal emotional behavior into the social dilemma paradigm, which has downplayed or ignored its role in the communication processes associated with cooperation. Finally, we offer an outline for testing our theory and expanding the role of nonverbal emotional processes within research on cooperation and social exchange.     

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