Researchers have used either average correlation or the percentage of objects correctly predicted in assessing the accuracy of attitude models. Because the two measures are not directly comparable, the ability to contrast results from different studies is obviated. A method is presented for computing the average Spearman correlation coefficient directly from confusion matrices.
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References
1.
AhtolaOlli T. (1975), “The Vector Model of Preferences: An Alternative to the Fishbein Model,” Journal of Marketing Research, 12 (February), 52–9.
2.
BassFrank M. (1972), “Fishbein and Brand Preference: A Reply,” Journal of Marketing Research, 9 (November), 461.
3.
BassFrank M. and Wayne TalarzykW. (1972), “An Attitude Model for the Study of Brand Preference,” Journal of Marketing Research, 9 (February), 93–6.
4.
BassFrank M. and WilkieWilliam L. (1973), “A Comparative Analysis of Attitudinal Predictions of Brand Preference,” Journal of Marketing Research, 10 (August), 262–9.
5.
BrunoAlbert J. and WildtAlbert R. (1975), “Toward Understanding Attitude Structure: A Study of the Complementarity of Multi-Attribute Attitude Models,” Journal of Consumer Research, 2 (September), 137–45.
6.
CohenJoel B., FishbeinMartin, and AhtolaOlli T. (1972), “The Nature and Uses of Models in Consumer Attitude Research,” Journal of Marketing Research, 9 (November), 456–60.