The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Consumer Self-Confidence: Refinements in Conceptualization and Measurement
Abstract
The development and validation of measures to assess multiple dimensions of consumer self-confidence are described in this article. Scale-development procedures resulted in a six-factor correlated model made up of the following dimensions: information acquisition, consideration-set formation, personal outcomes, social outcomes, persuasion knowledge, and marketplace interfaces. A series of studies demonstrate the psychometric properties of the measures, their discriminant validity with respect to related constructs, their construct validity, and their ability to moderate relationships among other important consumer behavior variables.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Society and the Adolescent Self-Image
Rosenberg, M. (1965) · doi:10.1515/9781400876136 · Cited by 30,126
Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200
Hu, L.-T., & Bentler, P. M. (1998) · Psychological Methods · doi:10.1037/1082-989x.3.4.424 · Cited by 12,298
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
The Persuasion Knowledge Model: How People Cope with Persuasion Attempts
Friestad, M., & Wright, P. (1994) · Journal of Consumer Research · doi:10.1086/209380 · Cited by 3,811
Blascovich, J., & Tomaka, J. (1991) · Measures of Personality and Social Psychological Attitudes · doi:10.1016/b978-0-12-590241-0.50008-3 · Cited by 1,833
Cited by
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
The role played by perceived usability, satisfaction and consumer trust on website loyalty
Flavián, C., Guinalíu, M., & Gurrea, R. (2006) · Information & Management · doi:10.1016/j.im.2005.01.002 · Cited by 1,684
Developing a scale to measure the interactivity of websites
Liu, Y. (2003) · Journal of Advertising Research · doi:10.2501/jar-43-2-207-216 · Cited by 659
Gangadharbatla, H. (2008) · Journal of Interactive Advertising · doi:10.1080/15252019.2008.10722138 · Cited by 495
YOUN, S. (2009) · Journal of Consumer Affairs · doi:10.1111/j.1745-6606.2009.01146.x · Cited by 449
Assessing Three Sources of Misresponse to Reversed Likert Items
Swain, S. D., Weathers, D., & Niedrich, R. W. (2008) · Journal of Marketing Research · doi:10.1509/jmkr.45.1.116 · Cited by 386
Zhang, T. (., Agarwal, R., & Lucas, H. C. (2011) · MIS Quarterly · doi:10.2307/41409964 · Cited by 233
Campbell, M. C., Mohr, G. S., & Verlegh, P. W. J. (2013) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2012.10.012 · Cited by 234
Exploring how consumers cope with online behavioral advertising
Ham, C.-D. (2017) · International Journal of Advertising · doi:10.1080/02650487.2016.1239878 · Cited by 184
Ahluwalia, R., & Burnkrant, R. E. (2004) · Journal of Consumer Research · doi:10.1086/383421 · Cited by 161
A Cross-Cultural Analysis of Consumers’ Conspicuous Consumption of Branded Fashion Accessories
Souiden, N., M’Saad, B., & Pons, F. (2011) · Journal of International Consumer Marketing · doi:10.1080/08961530.2011.602951 · Cited by 104
Wang, L., Wang, Z., Wang, X., & Zhao, Y. (2021) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2021.101080 · Cited by 63
A model to evaluate the effects of price fairness perception in online hotel booking
Andrés-Martínez, M.-E., Gómez-Borja, M.-Á., & Mondéjar-Jiménez, J.-A. (2014) · Electronic Commerce Research · doi:10.1007/s10660-014-9137-4 · Cited by 40
Persuasibility and the Self – Investigating Heterogeneity among Consumers
Koller, M., Floh, A., Zauner, A., & Rusch, T. (2013) · Australasian Marketing Journal · doi:10.1016/j.ausmj.2013.02.004 · Cited by 7
Metadata
- Authors
- Bearden, W. O., Hardesty, D. M., & Rose, R. L.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-06
- Volume
- 28
- Issue
- 1
- Pages
- 121-134
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2084870027
- Cited by
- 709
- References
- 13
- FWCI
- 33.97
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.