Structural reliability and stability of nonmetric conjoint analysis are examined under conditions of severe structural perturbation and substantial variation in the number of stimulus profiles. The individual-level part worth functions are jackknifed. The jackknifed parameters, derived relative importance weights, and standard errors of estimated parameters are examined across the different treatment conditions. The results indicate that conjoint analysis is a fairly robust procedure for assessing an individual's preferences.
CarmoneF. J., and GreenP. E., and JainA. K. (1978), “The Robustness of Conjoint Analysis: Some Monté Carlo Results,”Journal of Marketing Research, 15(May), 300–3.
3.
CarrollJ. D. (1972), “Individual Differences and Multidimensional Scaling,” in Multidimensional Scaling, Vol. 1, ShepardR. N., and RomneyA. K., and NerloveS. B., eds. New York: Seminar Press, Inc,105–55.
4.
CattinPhilippe, and WittinkDick R. (1981), “Commercial Use of Conjoint Analysis: A Survey,” Research Paper No. 596, Graduate School of Business, Stanford University.
5.
CookT. D., and CampbellD. T. (1976), “The Design and Conduct of Quasi Experiments in Field Settings,” in Handbook of Industrial and Organizational Psychology, DunnetteM. D., ed. Chicago: Rand McNally Co.,223–326.
6.
CoxR. D. (1975), Analysis of Binary Data.London: Chapman and Hall,2nd edition.
7.
CraskM. R., and PerreaultW. D. (1977), “Validation of Discriminant Analysis in Marketing Research,”Journal of Marketing Research, 14(February), 60–8.
8.
EmeryD. R., and BarronF. H. (1979), “Axiomatic and Numerical Conjoint Measurement: An Evaluation of Diagnostic Efficacy,”Psychometrika, 44, 195–210.
9.
FenwickIan (1979), “Techniques in Market Measurement: The Jackknife,”Journal of Marketing Research, 16(August), 410–14.
10.
GreenP. E. (1974a), “On the Design of Choice Experiments Involving Multifactor Alternatives,”Journal of Consumer Research, 1(September), 61–8.
11.
GreenP. E. (1974b), “On the Design of Multiattribute Choice Experiments Involving Large Numbers of Factors and Factor Levels,” in Advances in Consumer Research, Vol. I, WardS., and WrightP., eds. Urbana, IL: Association for Consumer Research,228–41.
12.
GreenP. E. (1975), “Marketing Applications of MDS: Assessment and Outlook,”Journal of Marketing, 39, 24–31.
13.
GreenP. E., CarmoneFrank J., and WachspressDavid P. (1977), “On the Analysis of Qualitative Data in Marketing Research,”Journal of Marketing Research, 14(February), 52–9.
14.
GreenP. E., and SrinivasanV. (1978), “Conjoint Analysis in Consumer Research: Issues and Outlook,”Journal of Consumer Research, 5(September), 103–23.
15.
GreenP. E., and WindY. (1973), Multiattribute Decision in Marketing: A Measurement Approach.Hinsdale, IL: The Dryden Press.
16.
JacobyJ., and ChestnutR. W., and FisherW. A. (1978), “A Behavioral Process Approach to Information Acquisition in Nondurable Purchasing,”Journal of Marketing Research, 15(November), 532–44.
17.
JacobyJ., and SpellerD. E., and BerningC. K. (1974), “Brand Choice Behavior as a Function of Information Load: Replication and Extention,”Journal of Consumer Research, 1(June), 33–42.
18.
JainA. K., and AcitoFranklin, MalhotraNaresh K., and MahajanVijay (1979), “A Comparison of the Internal Validity of Alternative Parameter Estimation Methods in Decompositional Multiattribute Preference Models,”Journal of Marketing Research, 16(August), 313–22.
19.
JohnsonR. M. (1975), “A Simple Method for Pairwise Monotone Regression,”Psychometrika, 40, 163–8.
20.
KruskalJ. B. (1965), “Analysis of Factorial Experiments by Estimating Monotone Transformation of the Data,”Journal of the Royal Statistical Society, Series B, 27, 251–63.
21.
LussierD., and OlshavskyR. (1974), “An Information Processing Approach to Individual Brand Choice Behavior,” Paper TP4.1 presented at the Joint Meeting of the Operations Research Society of America and the Institute of Management Sciences, San Juan, Puerto Rico.
22.
MalhotraNaresh K. (1982a), “Information Load and Consumer Decision Making,”Journal of Consumer Research, 8(March).
23.
MalhotraNaresh K. (1982b), “Multi-Stage Information Processing Behavior: An Experimental Investigation,”Journal of the Academy of Marketing Science, 10(Winter).
24.
MalhotraNaresh K., and JainA. K., and LagakosS. W. (1982), “The Information Load Controversy: An Alternative Viewpoint,”Journal of Marketing, 46(Spring).
25.
McCulloughJ., and BestR. (1979), “Conjoint Measurement: Temporal Stability and Structural Reliability,”Journal of Marketing Research, 16(February), 26–31.
26.
MillerR. G. (1974), “The Jackknife—A Review,”Biometrika, 61, 1–15.
27.
MostellerF., and TukeyJ. W. (1977), Data Analysis and Regression.Reading, MA: Addison-Wesley Publishing Co.
28.
NewmanJ. W. (1977), “Consumer External Search: Amount and Determinants,” in Consumer and Industrial Buying Behavior, WoodsideA. G., and ShethJ. N., and BennettP. D., eds. New York: North Holland,79–94.
29.
OlshavskyR. W. (1979), “Task Complexity and Contingent Processing in Decision Making: A Replication and Extension,”Organizational Behavior and Human Performance, 24, 300–16.
30.
ParkC. W. (1978), “A Seven-Point Scale and a Decision-Maker's Simplifying Choice Strategy: An Operational Satisficing-Plus Model,”Organizational Behavior and Human Performance, 21, 252–71.
31.
PayneJ. W. (1976), “Task Complexity and Contingent Processing in Decision Making: An Information Search and Protocol Analysis,”Organizational Behavior and Human Performance, 16, 366–87.
32.
PekelmanD., and SenS. (1974), “Mathematical Programming Models for the Determination of Attribute Weights,”Management Science, 20, 1217–29.
33.
SawyerA. G. (1975), “Demand Artifacts in Laboratory Experiments in Consumer Research,”Journal of Consumer Research, 1(March), 1–20.
34.
ScottJ. C., and WrightP. (1976), “Modeling an Organizational Buyer's Product Evaluation Strategy: Validity and Procedural Considerations,”Journal of Marketing Research, 13(August), 211–24.
35.
SharotTrevor (1976), “The Generalized Jackknife: Finite Sample and Subsample Size,”Journal of the American Statistical Association, 71(June), 451–4.
36.
ShepardR. N. (1967), “On Subjectively Optimum Selections Among Multiattribute Alternatives,” in Decision Making, EdwardsWard, and TverskeyAmos, eds. Harmondsworth, England: Penguin Books,257–83.
37.
SrinivasanV. (1977), “An Approach to the Modeling and Estimation of Consumer Multi-stage Decision Process,” paper presented at the AMA/MSI/PIT Conference on Analytical Approaches to Product and Marketing Planning, Pittsburgh, Pennsylvania.
38.
SrinivasanV., and ShockerA. D. (1973a), “Linear Programming Techniques for Multidimensional Analysis of Preferences,”Psychometrika, 38, 337–69.
39.
SrinivasanV., and ShockerA. D. (1973b), “Estimating the Weights for Multiple Attributes in a Composite Criterion Using Pairwise Judgements,”Psychometrika, 38, 473–93.
40.
TukeyJ. W. (1958), “Bias and Confidence in Not Quite Large Samples,”The Annals of Mathematical Statistics, 29, 614.
41.
WittinkDick R., and CattinPhilippe (1981), “Alternative Estimation Methods for Conjoint Analysis: A Monte Carlo Study,”Journal of Marketing Research, 18(February), 101–6.
