Biomedical subjects

Brian A Nosek

Publications and source records attributed to Brian A Nosek.

4 recordsLinked to original sources

PubMed2003

Understanding and using the implicit association test: I. An improved scoring algorithm.

In reporting Implicit Association Test (IAT) results, researchers have most often used scoring conventions described in the first publication of the IAT (A.G. Greenwald, D.E. McGhee, & J.L.K. Schwartz, 1998). Demonstration IATs available on the Internet have produced large data sets that were used in the current article to evaluate alternative scoring procedures. Candidate new algorithms were examined in terms of their (a) correlations with parallel self-report measures, (b) resistance to an artifact associated with speed of responding, (c) internal consistency, (d) sensitivity to known influences on IAT measures, and (e) resistance to known procedural influences. The best-performing measure incorporates data from the IAT's practice trials, uses a metric that is calibrated by each respondent's latency variability, and includes a latency penalty for errors. This new algorithm strongly outperforms the earlier (conventional) procedure.

Adult↗

PubMed2003

Contextual variations in implicit evaluation.

In the present research, the authors examined contextual variations in automatic attitudes. Using 2 measures of automatic attitudes, the authors demonstrated that evaluative responses differ qualitatively as perceivers focus on different aspects of a target's social group membership (e.g., race or gender). Contextual variations in automatic attitudes were obtained when the manipulation involved overt categorization (Experiments 1-3) as well as more subtle contextual cues, such as category distinctiveness (Experiments 4-5). Furthermore, participants were shown to be unable to predict such contextual influences on automatic attitudes (Experiment 3). Taken together, these experiments support the idea of automatic attitudes being continuous, online constructions that are inherently flexible and contextually appropriate, despite being outside conscious control.

Attitude↗

PubMed2002

A unified theory of implicit attitudes, stereotypes, self-esteem, and self-concept.

This theoretical integration of social psychology's main cognitive and affective constructs was shaped by 3 influences: (a) recent widespread interest in automatic and implicit cognition, (b) development of the Implicit Association Test (IAT; A. G. Greenwald, D. E. McGhee, & J. L. K. Schwartz. 1998), and (c) social psychology's consistency theories of the 1950s, especially F. Heider's (1958) balance theory. The balanced identity design is introduced as a method to test correlational predictions of the theory. Data obtained with this method revealed that predicted consistency patterns were strongly apparent in the data for implicit (IAT) measures but not in those for parallel explicit (self-report) measures. Two additional not-yet-tested predictions of the theory are described.

Attitude↗

PubMed2002

Math = male, me = female, therefore math not = me.

College students, especially women, demonstrated negativity toward math and science relative to arts and language on implicit measures. Group membership (being female), group identity (self = female), and gender stereotypes (math = male) were related to attitudes and identification with mathematics. Stronger implicit math = male stereotypes corresponded with more negative implicit and explicit math attitudes for women but more positive attitudes for men. Associating the self with female and math with male made it difficult for women, even women who had selected math-intensive majors, to associate math with the self. These results point to the opportunities and constraints on personal preferences that derive from membership in social groups.

Attitude↗