The impact of stimulus set size and data collection methods on response accuracy and response time were investigated in an empirical study. Anchor Point collection techniques proved superior in reducing respondent time with no sacrifice in accuracy.
Get full access to this article
View all access options for this article.
References
1.
CarmoneFrank J., GreenPaul E., and RobinsonPatrick J.“TRICON: An IBM 360/50 FORTRAN IV Program for the Triangularization of Conjoint Similarities Data,”Journal of Marketing Research, 5(May 1968), 219–20.
2.
CarrollJ. D., and ChangJ. J.“Analysis of Individual Differences in Multidimensional Scaling via an N way Generalization of Eckart-Young Decomposition,”Psychometrika, 35(September 1970), 283–319.
3.
CoombsC. H.A Theory of Data.New York: John Wiley and Sons, 1964.
4.
EngelJames F., KollatDavid L., and BlackwellRoger D.Consumer Behavior, second edition.New York: Holt, Rinehart and Winston, 1973.
5.
GreenPaul E., and CarmoneFrank J., “Marketing Research Applications of Nonmetric Scaling Methods,” in RommeyKimball, ShepardRoger, and NerloveSara, eds., Multidimensional Scaling, Volume II. New York: Seminar Press,1972.
6.
GreenPaul E.Multidimensional Scaling and Related Techniques in Marketing Analysis.Boston: Allyn and Bacon, 1970.
7.
GreenPaul E., and MaheshwariArun. “A Note on the Multidimensional Scaling of Conditional Proximity Data,”Journal of Marketing Research, 7(February 1970), 106–10.
8.
GreenPaul E., and RaoVithala. Applied Multidimensional Scaling.New York: Holt, Rinehart and Winston, 1972.
9.
GuttmanL. A.“A General Nonmetric Technique for Finding the Smallest Coordinate Space for a Configuration of Points,”Psychometrika, 33(December 1968), 469–506.
10.
KotlerPhilip. Marketing Management: Analysis, Planning, and Control, second edition.Englewood Cliffs, N.J.: Prentice-Hall,1972.
11.
KruskalJ. B.“Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric Hypothesis,”Psychometrika, 29(June 1964), 1–27.
12.
McGeeV.“Multidimensional Scaling of n Sets of Similarity Measures: A Nonmetric Individual Differences Approach,”Multivariate Behavioral Research, 3(April 1968), 233–48.
13.
NeidellLester A.“The Use of Nonmetric Multidimensional Scaling in Marketing Analysis,”Journal of Marketing, 33(October 1969), 37–43.
14.
NeidellLester A.“Procedures for Obtaining Similarities Data,”Journal of Marketing Research, 9(August 1972), 335–7.
15.
ShepardR. N.“The Analysis of Proximities: Multidimensional Scaling with an Unknown Distance Function,” I.Psychometrika, 27 (June 1962), 125–40.
16.
ShepardR. N.“The Analysis of Proximities: Multidimensional Scaling with an Unknown Distance Function,” II.Psychometrika, 27 (June 1962), 214–46.
17.
StumpfRobert. “TRIAD. Computer Program for the Processing of Triad Similarities Data,” unpublished computer program, California State Polytechnic University, Pomona,1974.
18.
TaylorJames R.“Alternative Methods for Collecting Similarities Data,”Proceedings. Fall Conference, American Marketing Association, 1969, 150–2.
19.
TaylorJames R., and KinnearThomas C.“Empirical Comparison of Alternative Methods for Collecting Proximity Judgments,”Proceedings. Fall Conference, American Marketing Association, 1971, 547–50.
20.
TorgersonWarren S.Theory and Methods of Scaling.New York: John Wiley and Sons, 1958.
21.
TurnerRonald E.“Market Measures Form Salesmen: A Multidimensional Scaling Approach,”Journal of Marketing Research, 8(May 1971), 165–72.
22.
YoungF. W., and TorgersonW. S.“TORSCA: A FORTRAN IV Program for Shepard-Kruskal Multidimensional Scaling Analysis,”Behavioral Science, 12(November 1967), 498.
