The DOI matches its Crossref record; 315 of the 315 references it cites were found in a registry or an index.
Knowledge Calibration: What Consumers Know and What They Think They Know
Abstract
Consumer knowledge is seldom complete or errorless. Therefore, the self-assessed validity of knowledge and consequent knowledge calibration (i.e., the correspondence between self-assessed and actual validity) is an important issue for the study of consumer decision making. In this article we describe methods and models used in calibration research. We then review a wide variety of empirical results indicating that high levels of calibration are achieved rarely, moderate levels that include some degree of systematic bias are the norm, and confidence and accuracy are sometimes completely uncorrelated. Finally, we examine the explanations of miscalibration and offer suggestions for future research.
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Cites
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Cited by
Bhattacharya, C. B., & Sen, S. (2003) · Journal of Marketing · doi:10.1509/jmkg.67.2.76.18609 · Cited by 3,336
The trouble with overconfidence.
Moore, D. A., & Healy, P. J. (2008) · Psychological Review · doi:10.1037/0033-295x.115.2.502 · Cited by 2,358
Financial Literacy, Financial Education, and Downstream Financial Behaviors
Fernandes, D., Lynch, J. G., & Netemeyer, R. G. (2014) · Management Science · doi:10.1287/mnsc.2013.1849 · Cited by 2,152
Defining and Measuring Financial Literacy
Hung, A., Parker, A. M., & Yoong, J. (2009) · SSRN Electronic Journal · doi:10.2139/ssrn.1498674 · Cited by 835
Consumer Self-Confidence: Refinements in Conceptualization and Measurement
Bearden, W. O., Hardesty, D. M., & Rose, R. L. (2001) · Journal of Consumer Research · doi:10.1086/321951 · Cited by 709
Metadata
- Authors
- Alba, J. W., & Hutchinson, J. W.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-09
- Volume
- 27
- Issue
- 2
- Pages
- 123-156
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2146365378
- Cited by
- 828
- References
- 315
- FWCI
- 5.97
- Type
- journal article
- Language
- en
- Open access
- closed
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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.