Kate A. Ranganath

Bio: Kate A. Ranganath is an academic researcher from University of Virginia. The author has contributed to research in topics: Implicit attitude & Mental health. The author has an hindex of 3, co-authored 3 publications receiving 1086 citations.

Pervasiveness and correlates of implicit attitudes and stereotypes

Abstract: Correspondence should be addressed to Brian A. Nosek, Department of Psychology, University of Virginia, 102 Gilmer Hall, Box 400400, Charlottesville, VA 22904, USA. E-mail: nosek@virginia.edu This research was supported by the National Institute of Mental Health (MH-41328, MH-01533, MH-57672, and MH-68447) and the National Science Foundation (SBR-9422241, SBR-9709924, and REC-0634041). The authors are grateful for technical support from N. Sriram, Ethan Sutin, and Lili Wu. Related information is available at http://briannosek.com/ and http://projectimplicit.net/ EUROPEAN REVIEW OF SOCIAL PSYCHOLOGY 2007, 1 – 53, iFirst article

Implicit Attitude Generalization Occurs Immediately; Explicit Attitude Generalization Takes Time

Abstract: People are able to explicitly resist using knowledge about one person to evaluate another person from the same group. After learning about positive and negative behaviors performed by one individual from each of two different groups, participants were introduced briefly to new individuals from the groups. Implicit evaluations of the original individuals readily generalized to the new individuals; explicitly, participants resisted such generalization. Days later, both implicit and explicit evaluations of the original individuals generalized to the new individuals. The results suggest that associative links (e.g., shared group membership) are sufficient for implicit attitude generalization, but deliberative logic (e.g., individual group members are not necessarily the same) can reduce explicit generalization by association. When knowledge distinguishing who did what is unavailable, such as after forgetting, associative knowledge provides the basis of explicit evaluation. We conclude that a simple association linking one individual to another can produce implicit attitude generalization immediately and explicit attitude generalization eventually.

Liberals and Conservatives Rely on Different Sets of Moral Foundations

Abstract: How and why do moral judgments vary across the political spectrum? To test moral foundations theory (J. Haidt & J. Graham, 2007; J. Haidt & C. Joseph, 2004), the authors developed several ways to measure people's use of 5 sets of moral intuitions: Harm/care, Fairness/reciprocity, Ingroup/loyalty, Authority/respect, and Purity/sanctity. Across 4 studies using multiple methods, liberals consistently showed greater endorsement and use of the Harm/care and Fairness/reciprocity foundations compared to the other 3 foundations, whereas conservatives endorsed and used the 5 foundations more equally. This difference was observed in abstract assessments of the moral relevance of foundation-related concerns such as violence or loyalty (Study 1), moral judgments of statements and scenarios (Study 2), "sacredness" reactions to taboo trade-offs (Study 3), and use of foundation-related words in the moral texts of religious sermons (Study 4). These findings help to illuminate the nature and intractability of moral disagreements in the American "culture war."

Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity.

Abstract: This review of 122 research reports (184 independent samples, 14,900 subjects) found average r = .274 for prediction of behavioral, judgment, and physiological measures by Implicit Association Test (IAT) measures. Parallel explicit (i.e., self-report) measures, available in 156 of these samples (13,068 subjects), also predicted effectively (average r = .361), but with much greater variability of effect size. Predictive validity of self-report was impaired for socially sensitive topics, for which impression management may distort self-report responses. For 32 samples with criterion measures involving Black-White interracial behavior, predictive validity of IAT measures significantly exceeded that of self-report measures. Both IAT and self-report measures displayed incremental validity, with each measure predicting criterion variance beyond that predicted by the other. The more highly IAT and self-report measures were intercorrelated, the greater was the predictive validity of each.

Political ideology: Its structure, functions, and elective affinities

Abstract: Ideology has re-emerged as an important topic of inquiry among social, personality, and political psychologists. In this review, we examine recent theory and research concerning the structure, contents, and functions of ideological belief systems. We begin by defining the construct and placing it in historical and philosophical context. We then examine different perspectives on how many (and what types of) dimensions individuals use to organize their political opinions. We investigate (a) how and to what extent individuals acquire the discursive contents associated with various ideologies, and (b) the social-psychological functions that these ideologies serve for those who adopt them. Our review highlights “elective affinities” between situational and dispositional needs of individuals and groups and the structure and contents of specific ideologies. Finally, we consider the consequences of ideology, especially with respect to attitudes, evaluations, and processes of system justification.

Implicit Racial/Ethnic Bias Among Health Care Professionals and Its Influence on Health Care Outcomes: A Systematic Review

Abstract: Background. In the United States, people of color face disparities in access to health care, the quality of care received, and health outcomes. The attitudes and behaviors of health care providers have been identified as one of many factors that contribute to health disparities. Implicit attitudes are thoughts and feelings that often exist outside of conscious awareness, and thus are difficult to consciously acknowledge and control. These attitudes are often automatically activated and can influence human behavior without conscious volition.Objectives. We investigated the extent to which implicit racial/ethnic bias exists among health care professionals and examined the relationships between health care professionals’ implicit attitudes about racial/ethnic groups and health care outcomes.Search Methods. To identify relevant studies, we searched 10 computerized bibliographic databases and used a reference harvesting technique.Selection Criteria. We assessed eligibility using double independent screening ba...

Implicit bias in healthcare professionals: a systematic review

Abstract: Implicit biases involve associations outside conscious awareness that lead to a negative evaluation of a person on the basis of irrelevant characteristics such as race or gender. This review examines the evidence that healthcare professionals display implicit biases towards patients. PubMed, PsychINFO, PsychARTICLE and CINAHL were searched for peer-reviewed articles published between 1st March 2003 and 31st March 2013. Two reviewers assessed the eligibility of the identified papers based on precise content and quality criteria. The references of eligible papers were examined to identify further eligible studies. Forty two articles were identified as eligible. Seventeen used an implicit measure (Implicit Association Test in fifteen and subliminal priming in two), to test the biases of healthcare professionals. Twenty five articles employed a between-subjects design, using vignettes to examine the influence of patient characteristics on healthcare professionals’ attitudes, diagnoses, and treatment decisions. The second method was included although it does not isolate implicit attitudes because it is recognised by psychologists who specialise in implicit cognition as a way of detecting the possible presence of implicit bias. Twenty seven studies examined racial/ethnic biases; ten other biases were investigated, including gender, age and weight. Thirty five articles found evidence of implicit bias in healthcare professionals; all the studies that investigated correlations found a significant positive relationship between level of implicit bias and lower quality of care. The evidence indicates that healthcare professionals exhibit the same levels of implicit bias as the wider population. The interactions between multiple patient characteristics and between healthcare professional and patient characteristics reveal the complexity of the phenomenon of implicit bias and its influence on clinician-patient interaction. The most convincing studies from our review are those that combine the IAT and a method measuring the quality of treatment in the actual world. Correlational evidence indicates that biases are likely to influence diagnosis and treatment decisions and levels of care in some circumstances and need to be further investigated. Our review also indicates that there may sometimes be a gap between the norm of impartiality and the extent to which it is embraced by healthcare professionals for some of the tested characteristics. Our findings highlight the need for the healthcare profession to address the role of implicit biases in disparities in healthcare. More research in actual care settings and a greater homogeneity in methods employed to test implicit biases in healthcare is needed.