Correlates of loneliness as perceived by the terminally Ill

The pain of loneliness is a universal social phenomenon, which is intensified by a diagnosis of a terminal illness. The present study investigated the causes of loneliness as perceived by HIV/AIDS patients, those diagnosed with cancer, and the general population. Forty-three HIV/AIDS patients, 38 cancer patients, and 53 participants from the general population answered a 29 item questionnaire. Results indicated that with the exception of social marginality, those afflicted with HIV/AIDS perceived the causes of their loneliness to be significantly different from those of the other two samples. Secondly, cancer patients and subjects from the general population did not differ significantly in the perceived causes of their loneliness. The author thanks Dr. Joe Regan, Fabio Belpulsi, Joann Bennett, Yvone Peterson, and Gina Ramberan for their invaluable assistance.     

Correlates of loneliness as perceived by the terminally Ill

The pain of loneliness is a universal social phenomenon, which is intensified by a diagnosis of a terminal illness. The present study investigated the causes of loneliness as perceived by HIV/AIDS patients, those diagnosed with cancer, and the general population. Forty-three HIV/AIDS patients, 38 cancer patients, and 53 participants from the general population answered a 29 item questionnaire. Results indicated that with the exception of social marginality, those afflicted with HIV/AIDS perceived the causes of their loneliness to be significantly different from those of the other two samples. Secondly, cancer patients and subjects from the general population did not differ significantly in the perceived causes of their loneliness. The author thanks Dr. Joe Regan, Fabio Belpulsi, Joann Bennett, Yvone Peterson, and Gina Ramberan for their invaluable assistance.     

Sex differences in the perceived causal structure of date rape: A preliminary report

The present study examines the perceived causes of date rape by the use of network analysis. The 142 subjects in the study were presented with grids containing 9 causes listed by row and column. They were asked to indicate if they belived there was a causal link between each of the 72 causal pairings. The resulting network placed emphasis on male and female drunkenness, norms of dating, and society's attitude to date rape as distal causes of date rape. Misunderstanding of behavior by men, male attitude that date rape is unimportant, and need by males for dominance were seen as proximal causes. Further networks for each sex were constructed: these showed clear division of opinion on the causes of date rape. © 1995 Wiley-Liss, Inc.     

Trait empathy as a predictor of individual differences in perceived loneliness

Loneliness has been shown to be inversely correlated with empathy in younger adults. The present study extends previous research by investigating the association between empathy and loneliness across the adult lifespan and examining the role of relevant demographic and personality factors. 110 community-dwelling adults (18 to 81 years old) completed the UCLA Loneliness Scale and the Empathy Quotient. Empathy scores were inversely associated with rated loneliness and predicted 8.7% of variance in loneliness scores after accounting for sex, age, relationship status, education, and neuroticism. The Social Skills factor of the Empathy Quotient was the strongest predictor of the association between perceived empathy and loneliness. Previous research is extended by the finding that rated loneliness was inversely associated with empathy scores across the adult lifespan. Underlying this relationship may be negative perceptions of personal social proclivity as a function of difficulty in understanding the mental states of others and high trait neuroticism.     

The structure of perceived qualities of situations

Situations can be seen as having attributes or qualities in much the same way as people have traits. The structure of people's perceptions of these situation qualities was explored. A comprehensive list of adjectives that might describe situations was generated, and people rated situations using samples of the words. Across several samples of words and participants and several analytic methods, four factors show up regularly (positivity, negativity, productivity, and ease of negotiation). In a second study, it was shown that these factors predict the way in which people freely sort situations. The conceptual nature of these factors and of situation qualities is discussed, with particular emphasis on how people's goals and perceived outcomes influence their perceptions of situations. Copyright © 2005 John Wiley & Sons, Ltd.     

Inferring hidden causal structure

We used a new method to assess how people can infer unobserved causal structure from patterns of observed events. Participants were taught to draw causal graphs, and then shown a pattern of associations and interventions on a novel causal system. Given minimal training and no feedback, participants in Experiment 1 used causal graph notation to spontaneously draw structures containing one observed cause, one unobserved common cause, and two unobserved independent causes, depending on the pattern of associations and interventions they saw. We replicated these findings with less-informative training (Experiments 2 and 3) and a new apparatus (Experiment 3) to show that the pattern of data leads to hidden causal inferences across a range of prior constraints on causal knowledge.     

The role of causal discourse structure in narrative writing

All writers produce text content and ideally connect it together according to discourse conventions. We investigate whether a particularly strong discourse convention, the need for causal coherence in narratives, can predict the kind of text writers will produce. Causality has been found to be a significant discourse factor in reading comprehension and hence can be expected to determine also what writers produce during composition. In Experiment 1, writers composed short continuations at various points throughout a simple narrative, whereas in Experiment 2, writers composed continuations to complete several narratives. The results indicate that causality indeed plays a major role in composition. Writers tend to produce new text in such a way that it is causally connected to the prior text. Furthermore, writers favored causal relations of necessity or of necessity and sufficiency while largely avoiding relations of sufficiency alone, which suggests a general discourse constraint to be maximally informative (e.g., Grice, 1975).     

The anatomy of loneliness

Loneliness is a potent but little understood risk factor for broad-based morbidity and mortality. We review five social neurobehavioral mechanisms that may account for this association. The evidence suggests that different mechanisms explain short-term and long-term effects, and that the long-term effects operate through multiple pathways. Implications for the design of interventions are discussed.     

The phenotype of loneliness

Goossens' review (2012, this issue) nicely maps the progression of scientific research from its early focus on loneliness as a dysphoric state that results from the discrepancy between a person's ideal and actual social relationships to its current emphasis on the centrality of loneliness to our very nature as a social species, and he argues that developmental science throughout Europe has a great deal to contribute to our understanding of this construct. He concludes that psychologists should care about research on loneliness for five reasons: (i) it is a well-defined phenotype; (ii) it shows both high stability and individual differences in rates of change across years; (iii) it has adaptive value and evolutionary significance; (iv) it has a genetic substrate that is moderated by social environments; and (v) it has self-maintaining features that can lead to adverse mental health outcomes. Goossens' review is rife with information and ideas. We focus here on two additional important reasons and on the phenotype of loneliness.     

Antecedents of causal uncertainty and perceived control: a prospective study

Perceptions of lack of control have been thought to be closely related to causal uncertainty, or uncertainty about the causes of events (Weary and Edwards, 1994). A 6-week prospective study tested the notion that perceived lack of control results in higher levels of later causal uncertainty. This prediction was confirmed. It also was found that time 1 causal uncertainty was associated with higher levels of time 2 perceptions of lack of control. Feelings of lack of control, causal uncertainty, and levels of depressive symptomatology were concurrently related at both time periods. © 1998 John Wiley & Sons, Ltd.     

Assessing the causal structure of function

Theories typically emphasize affordances or intentions as the primary determinant of an object's perceived function. The HIPE theory assumes that people integrate both into causal models that produce functional attributions. In these models, an object's physical structure and an agent's action specify an affordance jointly, constituting the immediate causes of a perceived function. The object's design history and an agent's goal in using it constitute distant causes. When specified fully, the immediate causes are sufficient for determining the perceived function--distant causes have no effect (the causal proximity principle). When the immediate causes are ambiguous or unknown, distant causes produce inferences about the immediate causes, thereby affecting functional attributions indirectly (the causal updating principle). Seven experiments supported HIPE's predictions.     

The causal structure of situations: The generation of plausible causal attributions as a function of type of event situation

The causal structures for each of four types of situations—interpersonal failure, noninterpersonal failure, interpersonal success, and noninterpersonal success—were explored and compared. A first group of subjects generated plausible causes for five specific situations in each of the four general types of situations. A second group of subjects provided similarity data on these causes, which were used in a cluster analysis of the causes. A third group of subjects rated the generated causes on each of six dimensions reported in the attribution literature: changeability, locus, stability, intentionality, globality, and controllability. Analyses of the clusters of causes and the ratings revealed (a) different types of causes were generated for different types of situations, (b) different types of situations led people to generate causes that differ in dimensional location, (c) the various causal dimensions were highly intercorrelated. These findings were applied to A. W. Kruglanski's (Psychological Review, 1980, 87) model of attribution processes. In addition, implications for the study of interpersonal situations and for the cognition-motivation debate over “self-serving” bias in attribution were discussed. Finally, several methodological issues were examined.     

Illusory causal crescents: misperceived spatial relations due to perceived causality

When an object A moves toward an object B until they are adjacent, at which point A stops and B starts moving, we often see a collision--ie we see A as the cause of B's motion. The spatiotemporal parameters which mediate the perception of causality have been explored in many studies, but this work is seldom related to other aspects of perception. Here we report a novel illusion, wherein the perception of causality affects the perceived spatial relations among two objects involved in a collision event: observers systematically underestimate the amount of overlap between two items in an event which is seen as a causal collision. This occurs even when the causal nature of the event is induced by a surrounding context, such that estimates of the amount of overlap in the very same event are much improved when the event is displayed in isolation, without a 'causal' interpretation. This illusion implies that the perception of causality does not proceed completely independently of other visual processes, but can affect the perception of other spatial properties.     

Causal imprinting in causal structure learning

Suppose one observes a correlation between two events, B and C, and infers that B causes C. Later one discovers that event A explains away the correlation between B and C. Normatively, one should now dismiss or weaken the belief that B causes C. Nonetheless, participants in the current study who observed a positive contingency between B and C followed by evidence that B and C were independent given A, persisted in believing that B causes C. The authors term this difficulty in revising initially learned causal structures "causal imprinting." Throughout four experiments, causal imprinting was obtained using multiple dependent measures and control conditions. A Bayesian analysis showed that causal imprinting may be normative under some conditions, but causal imprinting also occurred in the current study when it was clearly non-normative. It is suggested that causal imprinting occurs due to the influence of prior knowledge on how reasoners interpret later evidence. Consistent with this view, when participants first viewed the evidence showing that B and C are independent given A, later evidence with only B and C did not lead to the belief that B causes C.     

Effect of causal structure on category construction

In four experiments, the question of how the causal structure of features affects the creation of new categories was examined. Features of exemplars to be sorted were related in a single causal chain (causal chain), were caused by the same factor (common cause), or caused the same effect (common effect). The results showed that people are more likely to rely on common-cause or common-effect background knowledge than on causal-chain background knowledge in category construction. Such preferences suggest that the common-cause or the common-effect structures are considered more natural conceptual structures.