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    Consumer Evaluations of Competing Brands: Perceptual versus Predictive Validity

    198393_198393.pdf (337.1Kb)
    Access Status
    Open access
    Authors
    Woodside, Arch
    Date
    2012
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Woodside, Arch G. 2012. Consumer Evaluations of Competing Brands: Perceptual versus Predictive Validity. Psychology & Marketing. 29 (6): pp. 458-466.
    Source Title
    Psychology & Marketing
    DOI
    10.1002/mar.20534
    ISSN
    0742-6046
    Remarks

    This is the accepted version of the following article: Woodside, Arch G. 2012. Consumer Evaluations of Competing Brands: Perceptual versus Predictive Validity. Psychology & Marketing. 29 (6): pp. 458-466, which has been published in final form at <a href="http://doi.org/10.1002/mar.20534">http://doi.org/10.1002/mar.20534</a>

    URI
    http://hdl.handle.net/20.500.11937/18150
    Collection
    • Curtin Research Publications
    Abstract

    This study applies the concepts of consumer predictive and confidence values of information to consumer evaluations of food quality. Examining hypothetical findings from a thought experiment, the study offers advances in cue utilization, predictive validity, and achievement of consumer's perceived quality and actual quality. Separately, metrics for these concepts were applied in a consumer product-quality evaluation study of three brands of peanut butter. Actual quality was operationally defined in terms of Consumers Union ratings of the peanut butter. Using a between-groups, posttest only experimental design, female graduate students (n = 98) tasted and rated one of three peanut butters on the basis of quality and nine product attributes. These informants received no knowledge of brand names or comparative qualities prior to the test. The analysis indicates a nonsignificant correlation between actual quality of the brands and quality as perceived by the informants. The major cues used by informants in making their qualitative judgments (cue utilization) differed from the significant dimensions associated with actual quality (predictive validity). The findings inform the suggestion for consumer training in the process of making accurate quality evaluations.

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