Evolving judgments of terror risks: foresight, hindsight, and emotion

The authors examined the evolution of cognitive and emotional responses to terror risks for a nationally representative sample of Americans between late 2001 and late 2002. Respondents' risk judgments changed in ways consistent with their reported personal experiences. However, they did not recognize these changes, producing hindsight bias in memories for their judgments. An intensive debiasing procedure failed to restore a foresightful perspective. A fear-inducing manipulation increased risk estimates, whereas an anger-inducing manipulation reduced them-both in predictions (as previously observed) and in memories and judgments of past risks. Thus, priming emotions shaped not only perceptions of an abstract future but also perceptions of a concrete past. These results suggest how psychological research can help to ensure an informed public.     

Random effects diagonal metric multidimensional scaling models

By assuming a distribution for the subject weights in a diagonal metric (INDSCAL) multidimensional scaling model, the subject weights become random effects. Including random effects in multidimensional scaling models offers several advantages over traditional diagonal metric models such as those fitted by the INDSCAL, ALSCAL, and other multidimensional scaling programs. Unlike traditional models, the number of parameters does not increase with the number of subjects, and, because the distribution of the subject weights is modeled, the construction of linear models of the subject weights and the testing of those models is immediate. Here we define a random effects diagonal metric multidimensional scaling model, give computational algorithms, describe our experiences with these algorithms, and provide an example illustrating the use of the model and algorithms.We would like to thank J. Douglas Carroll for early consultation of this research, and Robert I. Jennrich for commenting on an earlier draft of this paper and for help on the computational algorithms. James O. Ramsay and Forrest W. Young were instrumental in providing the example data. This work was supported in part by National Institute of Mental Health grant 1 R43 MH57559-01. We would also like to thank the anonymous referees for comments that helped to clarify our work.     

Social closeness of MZ and DZ twin parents towards nieces and nephews

Twins' marriages to non‐twins yield genetically and socially informative kinships. Monozygotic (MZ) twins' genetic identity makes them ‘genetic parents’ of their nieces/nephews, and their nieces/nephews their ‘genetic children’. The present study is the first to apply twin‐family models to study social relatedness. Analyses of twin families (MZ: N = 248; DZ: N = 75) tested evolutionary‐based concepts concerning social closeness, perceived similarity and caretaking. Hypotheses based on Hamilton's inclusive fitness theory were supported: MZ twin aunts/uncles expressed greater social closeness towards their nieces/nephews than DZ twin aunts/uncles; and female twins from same‐sex pairs expressed greater closeness towards their nieces/nephews than male twins from same‐sex pairs. This study underlines benefits of associations between behavioural‐genetic and evolutionary psychological theories, methods and interpretations. Copyright © 2007 John Wiley & Sons, Ltd.     

In pursuit of a historical tradition: N. A. Rozhkov’s scientific laws of history

Despite all that has been written about Russian historiography and how it profoundly changed after the Bolsheviks seized power in 1917, very little is known about the historical tradition immediately before the Soviet era. This article attempts to begin to address this issue by examining the major forces that shaped the historical and sociological thought of Nikolai Alesandrovich Rozhkov (1868–1927). It argues that as Kliuchevskii’s successor and as the first professional historian to eventually present a Marxist analysis of Russian history, Rozhkov was not only the most important historian at that time but one whose work best represented the most significant transition in Russia’s historical tradition. The article concludes that an examination of Rozhkov’s historical methodology offers a new interpretation of the origins of Soviet historiography.

Construction and validation of the Intragroup Marginalization Inventory

This study reports the development and validation of the Intragroup Marginalization Inventory (IMI). The IMI consists of three scales that assess the extent to which an individual perceives interpersonal distancing from family, friends, and ethnic group community members. Intragroup marginalization is defined as the interpersonal distancing that occurs when an acculturating individual is believed to exhibit behaviors, values, and beliefs that are outside the heritage culture's group norms. Intragroup marginalization is based on social identity theory that asserts that groups maintain their identity by the distinctive behaviors of its members. When an acculturating individual displays behaviors or attitudes that differ from the heritage culture group's norms, the group may respond to the threat with social alienation of the transgressor. The results support the IMI's validity via a) content validity in the development of the items, b) construct validity in the selection of the factors based upon an exploratory factor analysis, c) the replicability of the factors based upon a confirmatory factor analysis, and d) discriminant validity through examining the relationship of the factors with other established measures.     

Response perseveration in psychopaths: Interpersonal/affective or social deviance traits?

In order to clarify the role of the two broad components of psychopathy (interpersonal/affective and social deviance; R. D. Hare, 2003) in explaining maladaptive response perseveration in psychopaths, as well as the role of reflection after punished responses in this deficit, the authors administered a card perseveration task to 47 Spanish male inmates assessed using the Hare Psychopathy Checklist-Revised (PCL-R; R. D. Hare, 1991). Hierarchical regressions showed that psychopaths' maladaptive perseveration (more cards played and less money earned) was uniquely predicted by the social deviance features of psychopathy (PCL-R Factor 2)--particularly by its impulsive and irresponsible lifestyle facet (PCL-R Facet 3)--and not by its interpersonal/affective features (PCL-R Factor 1). Moreover, perseveration was related to a lack of reflection both after punishment and after reward feedback. The authors' results, in conjunction with previous evidence indicating perseverative deficits in several impulse control disorders, suggest that response perseveration may not be specific to psychopathy but rather is associated more generally with the externalizing dimension of psychopathology.     

Depression and the complete state model of health

Health is a state of complete physical, mental, and social well-being and not merely the absence of disease or infirmity. In order to specify the contents of this positive state, the Complete State Model of Health (CSMH) considers mental health as a series of symptoms of hedonia and positive functioning, operationalized by measures of subjective, psychological, and social well-being. This model has empirically confirmed two new axioms: (a) rather than forming a single bipolar dimension, health and illness are correlated unipolar dimensions, and (b) the presence of mental health implies positive personal and social functioning. In the present article, we have taken the CSMH as the theoretical framework for the study of depression. Confirmatory factor analyses did not support the first axiom. In fact, the model that posits that measures of mental illness and health form a single bipolar dimension provided the best fit to the data.     

Application of the pi* goodness-of-fit index to latent structure models

Testing model fit for latent structure models (latent trait models and latent class models) is difficult because of the lack of goodness-of-fit statistics with a known distribution. This paper describes the application of the pi* goodness-of-fit statistic to latent structure models. The statistic pi* is based on the concept of latent classes and has a natural interpretation when applied to these models. This statistic assumes that the population is made up of several classes that follow a parametric model, and a residual class outside the model. The value of pi* is the population proportion in the residual class. This paper describes the estimation algorithms of pi* for latent trait and latent class models and an empirical example with a scale of study habits. There are two latent classes in these data: bad and regular students, which are related to the student s responsibility.     

An attenuation of the 'normal' category effect in patients with Alzheimer's disease: a review and bootstrap analysis

There is a consensus that Alzheimer's disease (AD) impairs semantic information, with one of the first markers being anomia i.e. an impaired ability to name items. Doubts remain, however, about whether this naming impairment differentially affects items from the living and nonliving knowledge domains. Most studies have reported an impairment for naming living things (e.g. animals or plants), a minority have found an impairment for nonliving things (e.g. tools or vehicles), and some have found no category-specific effect. A survey of the literature reveals that this lack of agreement may reflect a failure to control for intrinsic variables (such as familiarity) and the problems associated with ceiling effects in the control data. Investigating picture naming in 32 AD patients and 34 elderly controls, we used bootstrap techniques to deal with the abnormal distributions in both groups. Our analyses revealed the previously reported impairment for naming living things in AD patients and that this persisted even when intrinsic variables were covaried; however, covarying control performance eliminated the significant category effect. Indeed, the within-group comparison of living and nonliving naming revealed a larger effect size for controls than patients. We conclude that the category effect in Alzheimer's disease is no larger than is expected in the healthy brain and may even represent a small diminution of the normal profile.