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Cited by 443

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

Gawronski, Bertram, De Houwer, Jan·2014·Handbook of Research Methods 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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Metadata

Authors
Gawronski, B., & De Houwer, J.
Venue
Handbook of Research Methods in Social and Personality Psychology
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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CoChat. (2026). Citation check: Implicit Measures in Social and Personality Psychology. https://app.cochat.ai/papers/10.1017/cbo9780511996481.016
The paper
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.