How societal stereotypes might form and evolve via cumulative cultural evolution

The current article examines how societal stereotypes might form and evolve through a process of cumulative cultural evolution as social information is repeatedly passed from person to person. Social psychology research has done much to inform our understanding about the substantial influence stereotypes exert on us as individuals and on our society, yet comparatively little is known about how society's pools of stereotype knowledge form and how they evolve. Here, we review evidence that as social information is repeatedly passed from person to person, there is a continuous cycle of stereotype formation and evolution that is driven by constraints and biases in (a) observations of the social environment, (b) cognitive representations of the social environment, and (c) social transmissions of cognitive representations of the social environment. We suggest the reason stereotypes exist and persist is because they are perfectly adapted for human cognition and the reason they are perfectly adapted for human cognition is because they are the cumulative product of human cognition.     

Using trait–state models to evaluate the longitudinal consistency of global self-esteem from adolescence to adulthood

The present research used a latent variable trait–state model to evaluate the longitudinal consistency of self-esteem during the transition from adolescence to adulthood. Analyses were based on ten administrations of the Rosenberg self-esteem scale (Rosenberg, 1965) spanning the ages of approximately 13–32 for a sample of 451 participants. Results indicated that a completely stable trait factor and an autoregressive trait factor accounted for the majority of the variance in latent self-esteem assessments, whereas state factors accounted for about 16% of the variance in repeated assessments of latent self-esteem. The stability of individual differences in self-esteem increased with age consistent with the cumulative continuity principle of personality development.     

Religiosity and Quality of Life in Older Christian Women in Ireland: A Mixed Methods Analysis

Journal of Religion and Health - This study used a mixed methods approach to understand the ways in which religion and quality of life (QoL) are associated in later life in Ireland. Longitudinal...     

Decision-making competence and cognitive abilities: Which abilities matter?

Decision-making competence is a skill that is associated with numerous positive life outcomes. Even though multiple cognitive abilities have been shown to predict decision-making competence, few studies have incorporated a large test battery tapping into several cognitive abilities concurrently in the same models. The current paper presents a study that sought to investigate which cognitive abilities predicted overall decision-making competence in adults using hierarchical regression analysis. A cognitive test battery, comprising abilities such as general intelligence, executive functions, numeracy, visuospatial ability, and time perception, was administered to 182 participants. Results indicate that both general intelligence, which was consistently the strongest predictor, and numeracy contributed independently to overall decision-making competence. Executive functions did predict overall decision-making competence, while all predictors were included in the models. A novel finding concerns the relationship between time perception and decision-making competence. The complementary roles of these cognitive abilities are discussed.     

Competing Arbitrary and Nonarbitrary Stimulus Relations: The Effect of Exemplar Training in Adult Participants

The Psychological Record - The current study sought to extend the work of Stewart et al. (The Psychological Record, 52, 77–88, 2002) by investigating the effects of differing histories with...     

Determinants of patient satisfaction with the medical consultation

Abstract

This study assessed patient satisfaction with the medical consultation in ambulatory settings. A multistage sampling method, stratified by geographical location in metropolitan Sydney and type of medical practice, was employed. Two hundred and seventy-two patients attending medical consultations completed a brief questionnaire and interview immediately following a medical consultation with either a general practitioner or a medical specialist. Factor analysis of the questionnaire indicated that 58% of the variance in patient satisfaction ratings was accounted for by the level of interpersonal warmth and respect and the amount of information communicated by the doctor. Other factors impacting on satisfaction included the number of patient requests perceived to be met by the doctor, and the characteristics of the medical encounter, such as the length of the consultation and whether the visit was a first or subsequent consultation. There was no association between level of satisfaction and gender of doctor or the type of medical practice attended.     

Interpersonal sensitivity, status, and stereotype accuracy

A classic question in social and organizational psychology is whether low-status persons are more accurate in the perception of their high-status partners than the latter are in their perception of their subordinates. In a series of studies, Snodgrass (1985, 1992) tested this idea. She found that subordinates were more accurate at judging how their bosses viewed them than bosses were at judging how their subordinates viewed them, but that bosses were more accurate at judging how subordinates viewed themselves than subordinates were at judging how bosses viewed themselves. We believe, however, that these results were obscured by stereotype accuracy. Using previously collected data, we found that stereotype accuracy does lead to the pattern previously observed by Snodgrass. We also discovered that when we controlled for stereotype accuracy, subordinates' perceptions were generally more accurate than those of their bosses, which supports Snodgrass's original hypothesis.     

Psychosocial Adjustment in Male-to-Female Transsexuals: An Overview of the Research Evidence

Transsexualism has been defined as an extreme gender dysphoria; it refers to unhappiness with one's biological sex and the desire to have the body of the opposite sex and to be regarded by others as a member of that other sex. Transsexualism is not a common condition, but its prevalence is not yet known. A large number of transsexuals receive hormonal treatment and sex reassignment surgery (SRS). In spite of years of poor quality research, due in part to methodological problems, recent research on surgical outcomes has provided important information. However, psychological research into transsexualism has ignored the cognitive style and psychological functioning of transsexuals, and very little effort has been made to incorporate research findings into the development of psychological treatments to improve the quality of life for transsexuals.     

The truth and bias model of judgment

We present a new model for the general study of how the truth and biases affect human judgment. In the truth and bias model, judgments about the world are pulled by 2 primary forces, the truth force and the bias force, and these 2 forces are interrelated. The truth and bias model differentiates force and value, where the force is the strength of the attraction and the value is the location toward which the judgment is attracted. The model also makes a formal theoretical distinction between bias and moderator variables. Two major classes of biases are discussed: biases that are measured with variables (e.g., assumed similarity) and directional bias, which refers to the extent to which judgments are pulled toward 1 end of the judgment continuum. Moderator variables are conceptualized as variables that affect the accuracy and bias forces but that do not affect judgments directly. We illustrate the model with 4 examples. We discuss the theoretical, empirical, methodological, measurement, and design implications of the model.     

Cross‐Situational Learning: An Experimental Study of Word‐Learning Mechanisms

Cross‐situational learning is a mechanism for learning the meaning of words across multiple exposures, despite exposure‐by‐exposure uncertainty as to the word's true meaning. We present experimental evidence showing that humans learn words effectively using cross‐situational learning, even at high levels of referential uncertainty. Both overall success rates and the time taken to learn words are affected by the degree of referential uncertainty, with greater referential uncertainty leading to less reliable, slower learning. Words are also learned less successfully and more slowly if they are presented interleaved with occurrences of other words, although this effect is relatively weak. We present additional analyses of participants’ trial‐by‐trial behavior showing that participants make use of various cross‐situational learning strategies, depending on the difficulty of the word‐learning task. When referential uncertainty is low, participants generally apply a rigorous eliminative approach to cross‐situational learning. When referential uncertainty is high, or exposures to different words are interleaved, participants apply a frequentist approximation to this eliminative approach. We further suggest that these two ways of exploiting cross‐situational information reside on a continuum of learning strategies, underpinned by a single simple associative learning mechanism.