Removing distortion in perceptual judgments has been the subject of several recent research studies. The authors examine the issue of identifying and removing perceptual distortions in product space analysis. The purpose of the article is to show how a simple data transformation can purge the influence of the common general factor which typically surfaces when compositional approaches to building product spaces are employed. The method, which relies on a two-step double-centering transformation, eliminates irrelevant sources of variation. It is fundamentally different from the previously recommended practices in that it does not require the researcher either to (1) throw away the first principal component or (2) arbitrarily select attributes in order to define an affect index which then is used to replace the original simple correlations with partial correlations controlling for the influence of affect captured by the index.
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References
1.
AndersonJ. R. (1980), Cognitive Psychology and Its Implications.San Francisco: W. H. Freeman and Co.
2.
AndersonJ. R. (1982), “Acquisition of Cognitive Skill,”Psychological Review, 89, 369–406.
3.
AschS. E. (1946), “Forming Impressions of Personality,”Journal of Abnormal and Social Psychology, 41, 258–90.
4.
BassF. M., and WilkieW. L. (1973), “A Comparative Analysis of Predictions of Brand Preference,”Journal of Marketing Research, 10(August), 262–9.
5.
BeckwithN. E., and LehmannD. R. (1975), “The Importance of Halo Effects in Multi-Attribute Attitude Models,”Journal of Marketing Research, 12(August), 265–75.
CattellR. B. (1952), Factor Analysis.New York: Harper & Row.
8.
ClemansW. V. (1956), “An Analytic and Experimental Examination of Some Properties of Ipsative Measures,” unpublished doctoral dissertation, University of Washington.
9.
CooperW. H. (1981), “Ubiquitous Halo,”Psychological Bulletin, 90(2), 218–44.
10.
CronbachL. J., and GleserG. C. (1953), “Assessing Similarity Between Profiles,”Psychological Bulletin, 50(6).
11.
DixonW. J., editor (1977), BMDP: Biomedical Computer Programs.Berkeley, University of California Press.
12.
FiskeS. T. (1981), “Social Cognition and Affect,” in Cognition, Social Behavior, and the Environment, HarveyJ., ed. Hillsdale, NJ: Lawrence Erlbaum.
13.
GilinskyA. S. (1947), “The Influence of the Procedure of Judging on the Halo Effect,”American Psychologist, 2, 309–10.
14.
GollobH. F. (1968a), “Confounding of Sources of Variation in Factor-Analytic Techniques,”Psychological Bulletin, 70, 330–44.
15.
GollobH. F. (1968b), “A Statistical Model Which Combines Features of Factor Analytic and Analysis of Variance Techniques,”Psychometrika, 33, 73–115.
16.
GowerJ. C. (1966), “Some Distance Properties of Latent Root and Vector Methods Used in Multivariate Analysis,”Psychometrika, 53, (3, 4), 325.
17.
GuilfordJ. P. (1954), Psychometric Methods.New York: McGraw-Hill Book Company.
18.
HelwigJ. T. (1979), SAS User's Guide, 1979 ed. Cary, NC: SAS Institute.
19.
HigginsE. T., and KuiperN. A., and OlsonJ. M. (1981), “Social Cognition: A Need to Get Personal,” in Social Cognition: The Ontario Symposium, HigginsE. T., and HermanC. P., and ZannaM. P., eds. Hillsdale, NJ: Lawrence Erlbaum.
20.
HolbrookM. B., and HuberJ. (1979), “Separating Perceptual Dimensions from Affective Overtones: An Application to Consumer Aesthetics,”Journal of Consumer Research, 5(March), 272–83.
21.
HorstP. (1965), Factor Analysis of Data Matrices.New York: Holt, Rinehart and Winston.
22.
HuberJ., and HolbrookM. B. (1979), “Using Attribute Ratings for Product Positioning: Some Distinctions Among Compositional Approaches,”Journal of Marketing Research, 16(November), 507–16.
23.
JacksonJ. J., and AlwinD. E. (1981), “The Factor Analysis of Ipsative Measures,” in Social Measurement: Current Issues, BohrnstedtG. W., and BorgattaE. F., eds. Beverly Hills, CA: Sage Publications.
24.
JohnsonE. J., and RussoJ. E. (1980), “The Organization of Product Information in Memory Identified by Recall Times,”Advances in Consumer Research, 5, 79–86.
25.
KafryD., and JacobsR., and ZedeckS. (1979), “Discriminability in Multidimensional Performance Evaluations,”Applied Psychological Measurement, 3, 187–92.
26.
MyersJ. H. (1965), “Removing Halo From Job Evaluation Factor Structure,”Journal of Applied Psychology, 49, 217–21.
27.
NevesD. M., and AndersonJ. R. (1981), “Knowledge Compilation: Mechanisms for the Automation of Cognitive Skills,” in Cognitive Skills and Their Acquisition, AndersonJ. R., ed. Hillsdale, NJ: Lawrence Erlbaum.
28.
SkinnerH. A. (1978), “Differentiating the Contribution of Elevation, Scatter and Shape in Profile Similarity,”Educational and Psychological Measurement, 28, 297–307.
29.
SymondsP. M. (1925), “Notes on Rating,”Journal of Applied Psychology, 9, 188–95.
30.
ThorndikeE. L. (1920), “A Consistent Error in Psychological Ratings,”Journal of Applied Psychology, 4, 25–9.
31.
TomkinsS. S. (1981), “The Quest for Primary Motives: Biography and Autobiography of an Idea,”Journal of Personality and Social Psychology, 41, 306–29.
32.
TuckerL. R. (1956), “Factor Analysis of Double Centered Score Matrices,” ETS Pub. No. RM-56-3. Princeton, NJ: Educational Testing Service.
33.
TuckerL. R. (1964), “The Extension of Factor Analysis to Three-Dimensional Matrices,” in Contributions to Mathematical Psychology, FrederiksenN., and GulliksenH., eds. New York: Rinehart & Winston,109–27.
34.
ZajoncR. B. (1980a), “Cognition and Social Cognition: A Historical Perspective,” in Four Decades of Social Psychology, FestingerL., ed. Oxford: Oxford University Press.
35.
ZajoncR. B. (1980b), “Feeling and Thinking: Preferences Need No Inferences,”American Psychologist, 35, 151–75.
36.
ZaltmanG., and WallendorfM. (1983), Consumer Behavior: Basic Findings and Management Implications.New York: John Wiley & Sons, Inc.
