Carey S. Ryan

Stereotypes and ethnocentrism: diverging interethnic perceptions of African American and white American youth.

Much recent work on stereotyping has dealt with groups that are either artificially created or that do not have an extensive history of conflict. The authors attempted to overcome this limitation by examining issues of perceived variability and ethnocentrism among samples of White American and African American youth. The goals were both to examine theoretical issues in stereotyping and to describe the current state of ethnic interrelations among young people. Four studies are reported. Throughout, the samples of African Americans demonstrate interethnic judgments that are consistent with existing work on stereotyping and ethnocentrism. White American students, however, reported judgements that replicate neither the out-group homogeneity effect nor ethnocentrism. Alternative explanations for this difference are considered, and the discussion focuses on differing views concerning the role of ethnic identity and diversity in our society.

Accuracy in the Judgment of In-Group and Out-Group Variability

The accuracy of in-group and out-group variability judgments was examined by comparing those judgments with the variability of self-ratings provided by random samples of group members. Following Park and Judd (1990), perceptions of both group dispersion and group stereotypicality were examined. Accuracy was examined both by within-subject sensitivity correlations and by simple discrepancies between perceived and actual variability estimates. In-group-out-group differences in sensitivity were shown, particularly for judgments of stereotypicality. These differences were related to differences in the degree to which out-group variability is underestimated relative to in-group variability (i.e., the out-group homogeneity effect). Out-group stereotypicality judgments were overestimated, supporting the view that out-group stereotypes are overgeneralizations. Whether dispersion judgments were over- or underestimated depended on their measurement.

Role of meaningful subgroups in explaining differences in perceived variability for in-groups and out-groups.

Five aspects of the complexity of the knowledge representation of business and engineering majors were examined to see whether these differed by group membership and whether these differences were related to differences in perceived variability. Significantly more subgroups were generated when describing the in-group than the out-group; this difference predicted the relative tendency to see the in-group as more variable, and when controlled for statistically, out-group homogeneity effects were eliminated. Familiarity, redundancy, number of attributes used to describe the group, and the deviance of the subgroups from the larger group generally showed differences for in-group and out-group but did not show consistent evidence of mediation. In a 2nd study, Ss who were asked to sort group members into meaningful subgroups perceived greater variability relative to those who did not perform the sorting task.

Social Categorization and the Representation of Variability Information

We present two models of social category representation, one exemplar-based and one abstraction-based. We examine these with respect to five factors that influence the magnitude of perceived variability: actual level of variability among group members, dependent measures used by experimenters, encoding effects, retrieval effects, and increasing familiarity with group members.

Nursing specialty and burnout

Abstract We examined the relationship between perceived control and burnout among three nursing specialties: nurse practitioners, nurse managers, and emergency nurses. Survey data were collected from 228 nurses from 30 states. Findings indicated that emergency nurses had the least control and the highest burnout, whereas nurse practitioners had the most control and the least burnout. Mediational analyses showed that expected control, hostility, and stressor frequency explained differences between specialties in burnout. The implications of these findings for interventions that reduce burnout and promote nursing retention are discussed.

Effects of External and Internal Motivation to Control Prejudice on Implicit Prejudice: The Mediating Role of Efforts to Control Prejudiced Responses

We examined the effects of internal and external motivation to control prejudice on implicit prejudice, focusing on identifying a mediator of the relation between external motivation and implicit prejudice. White participants completed internal and external motivation to control prejudice measures several weeks before completing the Implicit Association Test (IAT). Participants who were more internally motivated showed less implicit prejudice, whereas those who were more externally motivated displayed more implicit prejudice. Consistent with an ironic processes explanation, the effect of external motivation on increased implicit prejudice was mediated by efforts to control prejudiced responses.

Longitudinal changes in consensus as a function of acquaintance and agreement in liking.

By using a round-robin design, groups of freshmen reported their impressions of dormmates at 4 different times during the year. Consensus on W. T. Normans Big Five (1963) did not increase over the year, even though reported acquaintance did increase. Agreement in liking predicted agreement in the trait ratings, such that groups that agreed in their evaluations of one another were more likely to agree in their trait impressions of one another, and vice versa. These patterns, obtained by using trait ratings, were replicated with open-ended descriptions of the targets. Correlations with self-judgments did not increase with acquaintance. The data suggest that increased acquaintance does not produce increased consensus. Instead, the role of agreement in evaluations is explored as a determining factor in the level of obtained consensus.

Effects of Cognitive Adaptation on the Expectation-Burnout Relationship Among Nurses 1

Burnout has traditionally been thought to result from unrealistically high expectations although research has provided only equivocal support. We explored the impact of cognitive adaptation disposition, including mastery, optimism, and self-esteem, on the expectations–burnout relationship. Nurses (N = 341) who were recruited at professional conferences completed questionnaires that assessed cognitive adaptation, burnout, and initial and current expectations of control. As expected, cognitive adaptation predicted fewer unmet expectations of control, which in turn predicted lower burnout. In addition, optimism and self-esteem predicted lower burnout regardless of perceived initial expectations, whereas mastery lessened the negative consequences of initially high expectations on burnout.

Stereotyping among Providers and Consumers of Public Mental Health Services: The Role of Perceived Group Variability

The authors examine stigmatization and mental illness, focusing on the role of perceived group variability in stereotype use. Consumers’ and providers’ in-group and out-group stereotypes were assessed. Although providers had extensive experience, they judged consumers more stereotypically and just as negatively as did the consumers themselves. Consumers’ education and involvement in services were weakly predictive of more stereotypic, less variable, and more negative views of providers, whereas providers’ education and involvement in services predicted more stereotypic but also more variable views of both groups. Perceived group stereotypicality predicted more stereotypic judgments of individuals, whereas perceived variability predicted less confidence in judgments. Because providers perceived greater variability, they were less confident in applying the stereotype to individuals.We suggest that increasing perceptions of the variability among consumers may lead to more sensitive use of diagnostic criteria, more individualized treatment, and a decrease in the negative effects of stigmatization.

Data Analysis A Model Comparison Approach, Second Edition

This completely rewritten classic text features many new examples, insights and topics including mediational, categorical, and multilevel models. Substantially reorganized, this edition provides a briefer, more streamlined examination of data analysis. Noted for its model-comparison approach and unified framework based on the general linear model, the book provides readers with a greater understanding of a variety of statistical procedures. This consistent framework, including consistent vocabulary and notation, is used throughout to develop fewer but more powerful model building techniques. The authors show how all analysis of variance and multiple regression can be accomplished within this framework. The model-comparison approach provides several benefits: