The DOI matches its Crossref record; 125 of the 125 references it cites were found in a registry or an index.
Implicit Measures in Social and Personality Psychology
Abstract
This chapter discusses the nature of neurophysiological processes and the utility of physiological measures as state-of-the-art empirical indexes of constructs fundamental to social psychological theories. It covers the relevant background information, including the evolution of social psychophysiology. The chapter provides a brief discussion of relevant epistemological issues, and the nature of physiological indexing. It briefly reviews and integrates general information regarding physiological control processes and general technological approaches to their measurement. The chapter reviews information important to psychophysiological indexing. It also reviews the rationale underlying the index and its validation and provides an example or two of its use. The chapter also discusses the threats to validity in physiological measurement. It presents illustrations of state-of-the-art physiological indexes of important motivational and affective constructs. Specific psychophysiological indexes derive their validity from psychophysiological theory confirmed via systematic empirical work.
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Cites
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Measuring individual differences in implicit cognition: the implicit association test
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“This concern echoes Ajzen and Fishbein’s (1977) correspondence principle in attitude-behavior relations, according to which measures of attitudes and behavior should match with regard to the relevant attitude object.”
BackgroundImplicit social cognition: Attitudes, self-esteem, and stereotypes
Greenwald, A. G., & Banaji, M. R. (1995) · Psychological Review · doi:10.1037/0033-295x.102.1.4 · Cited by 6,682
Understanding and using the Implicit Association Test: I. An improved scoring algorithm.
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The Ambivalent Sexism Inventory: Differentiating hostile and benevolent sexism.
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Cited by
A systematic review of the impact of physician implicit racial bias on clinical decision making
Dehon, E., Weiss, N., Jones, J., Faulconer, W., Hinton, E., & Sterling, S. (2017) · Academic Emergency Medicine · doi:10.1111/acem.13214 · Cited by 404
Greenwald, A. G., & Lai, C. K. (2020) · Annual Review of Psychology · doi:10.1146/annurev-psych-010419-050837 · Cited by 364
Six Lessons for a Cogent Science of Implicit Bias and Its Criticism
Gawronski, B. (2019) · Perspectives on Psychological Science · doi:10.1177/1745691619826015 · Cited by 272
Self-citationVahey, N. A., Nicholson, E., & Barnes-Holmes, D. (2015) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2015.01.004 · Cited by 92
Goedderz, A., & Hahn, A. (2022) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2022.104374 · Cited by 15
Metadata
- Authors
- Gawronski, B., & De Houwer, J.
- Venue
- Handbook of Research Methods in Social and Personality Psychology
- Publisher
- Cambridge University Press
- Published
- 2014-02-24
- Pages
- 283-310
- OpenAlex
- W1243051088
- Cited by
- 443
- References
- 125
- FWCI
- 108.48
- Type
- book chapter
- Language
- en
- Open access
- closed
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- Gawronski, B., & De Houwer, J. (2014). Implicit Measures in Social and Personality Psychology. Handbook of Research Methods in Social and Personality Psychology. https://doi.org/10.1017/cbo9780511996481.016
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.