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The Role of Attitude toward the Ad as a Mediator of Advertising Effectiveness: A Test of Competing Explanations

MacKenzie, Scott B., Lutz, Richard J., Belch, George E.·1986·Journal of Marketing Research

Abstract

Attitude toward the ad (A ad) has been postulated to be a causal mediating variable in the process through which advertising influences brand attitudes and purchase intentions. Previous conceptual and empirical research on this topic has suggested four alternative models of the relationships between brand-related cognitive, affective, and conative responses and ad-related cognitive and affective responses. The authors describe a structural equations analysis of these four models, utilizing two data sets generated within a commercial pretest setting. The results suggest that a dual mediation hypothesis, which postulates that A ad influences brand attitude both directly and indirectly through its effect on brand cognitions, is superior to the other three models under the particular set of conditions in the pretest setting.

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Metadata

Authors
MacKenzie, S. B., Lutz, R. J., & Belch, G. E.
Venue
Journal of Marketing Research
Published
1986-05
Volume
23
Issue
2
Pages
130-143
ISSN
  • 0022-2437 (ISSN-L)
  • 1547-7193
OpenAlex
W4232476263
Cited by
1,178
References
0
FWCI
14.53
Type
journal article
Language
en
Open access
closed
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

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CoChat. (2026). Citation check: The Role of Attitude toward the Ad as a Mediator of Advertising Effectiveness: A Test of Competing Explanations. https://app.cochat.ai/papers/10.1177/002224378602300205
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MacKenzie, S. B., Lutz, R. J., & Belch, G. E. (1986). The Role of Attitude toward the Ad as a Mediator of Advertising Effectiveness: A Test of Competing Explanations. Journal of Marketing Research. https://doi.org/10.1177/002224378602300205

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.