Age differences in coping with chronic illness

We examined the correlation between age and six coping strategies in a sample of 151 middle-aged and older chronically ill adults. Coping strategies included cognitive restructuring, emotional expression, wish fulfilling fantasy, self-blame, information seeking, and threat minimization. Older adults were less likely to use emotional expression or information seeking than were middle-aged adults in their efforts to cope with the illness. These strategies were related to age even when numerous illness characteristics (e.g., physical limitations) were used as control variables. Interaction effects showed that older adults who perceived their illnesses as highly serious were less likely than were others to cope by seeking information, reconstruing their illness as having positive aspects, or engaging in wishfulfilling fantasies, and more likely to cope by simply minimizing the illness's threat. Consideration of related research studies suggests that the age differences in emotional expression may be due to age-related shifts in the types of stresses experienced, whereas the age differences in information seeking may be more strongly linked to cohort phenomena.     

Cluster analysis in community research: Epistemology and practice

Cluster analysis refers to a family of methods for identifying cases with distinctive characteristics in heterogeneous samples and combining them into homogeneous groups. This approach provides a great deal of information about the types of cases and the distributions of variables in a sample. This paper considers cluster analysis as a quantitative complement to the traditional linear statistics that often characterize community psychology research. Cluster analysis emphasizes diversity rather than central tendency. This makes it a valuable tool for a wide range of familiar problems in community research. A number of these applications are considered here, including the assessment of change over time, network composition, network density, person-setting relationships, and community diversity. A User's Guide section is included, which outlines the major decisions involved in a basic cluster analyses. Despite difficulties associated with the identification of optimal cluster solutions, carefully planned, theoretically informed application of cluster analysis has much to offer community researchers. Editor's note: Dr. Edward Seidman served as action editor for this article while serving as Associate Editor for Methodology.     

In Defense of the Responsibility to Protect

This essay responds to Esther Reed's recent critique of the Responsibility to Protect (R2P) principle in this journal. It argues that Reed fundamentally misunderstands and misrepresents R2P. Her critique of R2P would have served well as a critique of the earlier concept of humanitarian intervention had it been penned in the late 1990s. But most of the problems and dangers that Reed identifies are in reality the very problems and dangers that R2P seeks to overcome, and I suggest that it does overcome them quite successfully. R2P does not impose Western ideals on the rest of the world, weaken the legal restrictions on the use of force, or promote abusive interventionism. Rather, it offers a bold but carefully constructed framework that holds the promise of promoting the protection of vulnerable populations from mass atrocities.     

Cognitive vulnerability to depression: A comparison of the weakest link,keystone and additive models

Multiple theories of cognitive vulnerability to depression have been proposed, each focusing on different aspects of negative cognition and utilising different measures of risk. Various methods of integrating such multiple indices of risk have been examined in the literature, and each demonstrates some promise. Yet little is known about the interrelations among these methods, or their incremental validity in predicting changes in depression. The present study compared three integrative models of cognitive vulnerability: the additive, weakest link, and keystone models. Support was found for each model as predictive of depression over time, but only the weakest link model demonstrated incremental utility in predicting changes in depression over the other models. We also explore the correlation between these models and each model's unique contribution to predicting onset of depressive symptoms.     

Double standards: Memory loading in temporal reference memory

Three experiments compared human performance on temporal generalization tasks with either one or two different, and distinct, standard durations encoded. In the first two experiments participants received presentations of two different standards at the beginning of each trial block and were instructed to encode either one or both of them. When instructed to encode one standard they then had to judge whether each of a number of comparison stimuli was or was not that standard. When instructed to encode both they were then tested using just one of the standards but the participants were unaware, at the time of encoding, which standard would later be used as a reference. No marked effect of the number of temporal standards encoded was found. In Experiment 3 participants received either one or two temporal standards and had to use both when two were presented. This manipulation produced flatter generalization gradients when two standards were encoded than when just one was, and modelling attributed this difference mainly to an increase in reference memory variability in the double-standard case. This suggests that the variability of representation of durations in temporal reference memory can be systematically increased by increasing temporal reference memory load.