The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Development of Self‐Brand Connections in Children and Adolescents
Abstract
Individuals use brands to create and communicate their self-concepts, thereby creating self-brand connections. Although this phenomenon is well documented among adult consumers, we know very little about the role of brands in defining, expressing, and communicating self-concepts in children and adolescents. In this article, we examine the age at which children begin to incorporate brands into their self-concepts and how these self-brand connections change in qualitative ways as children move into adolescence. In three studies with children 8–18 yr. of age, we find that self-brand connections develop in number and sophistication between middle childhood and early adolescence.
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
Possessions and the Extended Self
Belk, R. W. (1988) · Journal of Consumer Research · doi:10.1086/209154 · Cited by 9,064
Consumers and Their Brands: Developing Relationship Theory in Consumer Research
Fournier, S. (1998) · Journal of Consumer Research · doi:10.1086/209515 · Cited by 7,542
Muniz, A. M., & O'Guinn, T. C. (2001) · Journal of Consumer Research · doi:10.1086/319618 · Cited by 3,998
Cited by
Brand authenticity: An integrative framework and measurement scale
Morhart, F., Malär, L., Guèvremont, A., Girardin, F., & Grohmann, B. (2015) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2014.11.006 · Cited by 1,084
Sprott, D., Czellar, S., & Spangenberg, E. (2009) · Journal of Marketing Research · doi:10.1509/jmkr.46.1.92 · Cited by 850
Hur, W.-M., Kim, H., & Woo, J. (2014) · Journal of Business Ethics · doi:10.1007/s10551-013-1910-0 · Cited by 538
Online word of mouth and consumer purchase intentions
Prendergast, G., Ko, D., & Siu Yin, V. Y. (2010) · International Journal of Advertising · doi:10.2501/s0265048710201427 · Cited by 309
Harris, J. L., Brownell, K. D., & Bargh, J. A. (2009) · Social Issues and Policy Review · doi:10.1111/j.1751-2409.2009.01015.x · Cited by 252
Metadata
- Authors
- Chaplin, L. N., & Roedder John, D.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2005-06
- Volume
- 32
- Issue
- 1
- Pages
- 119-129
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2139764921
- Cited by
- 535
- References
- 3
- FWCI
- 58.49
- 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.
