A Model for the Construction of Country-Specific Yet Internationally Comparable Short-Form Marketing Scales

Published Online:https://doi.org/10.1287/mksc.1080.0439

References

  • Aaker J. L., Benet-Martínez V., Garolera J. Consumption symbols as carriers of culture: A study of Japanese and Spanish brand personality constructs. J. Personality Soc. Psych. (2001) 81(3):492–508CrossrefGoogle Scholar
  • Baker F. B.The Basics of Item Response Theory (2001) (ERIC Clearinghouse on Assessment and Evaluation, University of Maryland, College Park) Google Scholar
  • Batra R., Ramaswamy V., Alden D. L., Steenkamp J.-B. E. M., Ramachander S. Effects of brand local and nonlocal origin on consumer attitudes in developing countries. J. Consumer Psych. (2000) 9(2):83–95CrossrefGoogle Scholar
  • Baumgartner H. Issues in assessing measurement invariance in cross-national research. (2004) Presentation, Sheth Foundation/Sudman Symposium Cross-Cultural Survey ResearchUniversity of Illinois, UrbanaGoogle Scholar
  • Baumgartner H., Steenkamp J.-B. E. M. An extended paradigm for measurement analysis applicable to panel data. J. Marketing Res. (2006) 43(August):431–442CrossrefGoogle Scholar
  • Bearden W. O., Netemeyer R. G.Handbook of Marketing Scales: Multi-Item Measures for Marketing and Consumer Behavior Research (1999) 2nd ed.(Sage Publications, Newbury Park, CA) CrossrefGoogle Scholar
  • Bearden W. O., Netemeyer R. G., Teel J. E. Measurement of consumer susceptibility to interpersonal influence. J. Consumer Res. (1989) 15(March):473–481CrossrefGoogle Scholar
  • Bearden W. O., Netemeyer R. G., Teel J. E., Goldberg M. E., Gorn G., Pollay R. W. Further validation of the consumer susceptibility to interpersonal influence scale. Advances in Consumer Research (1990) 17(Association for Consumer Research, Provo, UT) 770–776Google Scholar
  • Béguin A. A., Glas C. A. W. MCMC estimation and some model-fit analysis of multidimensional IRT models. Psychometrika (2001) 66(4):541–562CrossrefGoogle Scholar
  • Benet-Martínez V., John O. P. Los Cinco Grandes across cultures and ethnic groups: Multitrait multimethod analyses of the big five in Spanish and English. J. Personality Soc. Psych. (1998) 75(3):729–750CrossrefGoogle Scholar
  • Ben-Tal A., Nemirovski A. Robust convex optimization. Math. Oper. Res. (1998) 23(4):769–805LinkGoogle Scholar
  • Ben-Tal A., Nemirovski A. Robust solutions to uncertain linear programs. Oper. Res. Lett. (1999) 25(1):1–13CrossrefGoogle Scholar
  • Ben-Tal A., Nemirovski A. Robust solutions of linear programming problems contaminated with uncertain data. Math. Programming (2000) 88(3):411–424CrossrefGoogle Scholar
  • Bergkvist L., Rossiter J. R. The predictive validity of multiple-item versus single-item measures of the same constructs. J. Marketing Res. (2007) 44(May):175–184CrossrefGoogle Scholar
  • Berry J. W. On cross-cultural comparability. Internat. J. Psych. (1969) 4(2):119–128CrossrefGoogle Scholar
  • Bohlmann J. D., Rosa J. A., Bolton R. N., Qualls W. D. The effect of group interactions on satisfaction judgments: Satisfaction escalation. Marketing Sci. (2006) 25(4):301–321LinkGoogle Scholar
  • Bollen K. A.Structural Equations with Latent Variables (1989) (John Wiley & Sons, New York) CrossrefGoogle Scholar
  • Bolton R. N. From the editor. J. Marketing (2003) 67(January):1–3CrossrefGoogle Scholar
  • Bradlow E. T., Fitzsimons G. J. Subscale distance and item clustering effects in self-administered surveys: A new metric. J. Marketing Res. (2001) 38(May):254–261CrossrefGoogle Scholar
  • Bradlow E. T., Wainer H. Some statistical and logical considerations when rescoring tests. Statistica Sinica (1998) 8:713–728Google Scholar
  • Bradlow E. T., Wainer H., Wang X. A Bayesian random effects model for testlets. Psychometrika (1999) 64(2):153–168CrossrefGoogle Scholar
  • Browne M. W. Asymptotically distribution-free methods for the analysis of covariance structures. British J. Math. Statist. Psych. (1984) 37(1):62–83CrossrefGoogle Scholar
  • Bruner G. C., Hensel P. J.Marketing Scales Handbook: A Compilation of Multi-Item Measures (1992) (American Marketing Association, Chicago) Google Scholar
  • Burgess S. M., Steenkamp J.-B. E. M. Marketing renaissance: How research in emerging markets advances marketing science and practice. Internat. J. Res. Marketing (2006) 23(4):337–356CrossrefGoogle Scholar
  • Cheung G. W., Rensvold R. B. Evaluating goodness-of fit indexes for testing measurement invariance. Structural Equation Modeling (2002) 9(2):233–255CrossrefGoogle Scholar
  • Craig C. S., Douglas S. P.International Marketing Research (2001) 2nd ed.(John Wiley & Sons, New York) Google Scholar
  • De Boeck P., Wilson M.Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach (2004) (Springer-Verlag, New York) CrossrefGoogle Scholar
  • de Jong M. G., Steenkamp J.-B. E. M., Fox J.-P. Relaxing measurement invariance in cross-national consumer research using a hierarchical IRT model. J. Consumer Res. (2007) 34(August):260–278CrossrefGoogle Scholar
  • Diamantopoulos A., Winklhofer H. M. Index construction with formative indicators: An alternative to scale development. J. Marketing Res. (2001) 38(May):269–277CrossrefGoogle Scholar
  • Dodd B. G., De Ayala R. J., Koch W. R. Computerized adaptive testing with polytomous items. Appl. Psych. Measurement (1995) 19(1):5–22CrossrefGoogle Scholar
  • Flora D. B., Curran P. J. An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psych. Methods (2004) 9(4):466–491CrossrefGoogle Scholar
  • Fraley C. R., Waller N. G., Brennan K. A. An item response theory analysis of self-report measures of adult attachment. J. Personality Soc. Psych. (2000) 78(2):350–365CrossrefGoogle Scholar
  • Gerbing D. W., Anderson J. C. An updated paradigm for scale development incorporating unidimensionality and its assessment. J. Marketing Res. (1988) 25(May):186–192CrossrefGoogle Scholar
  • Green P. E., Tull D. S., Albaum G.Research for Marketing Decisions (1988) 5th ed.(Prentice Hall, Englewood Cliffs, NJ) Google Scholar
  • Gupta S., Zeithaml V. A. Customer metrics and their impact on financial performance. Marketing Sci. (2006) 25(6):718–739LinkGoogle Scholar
  • Hambleton R. K., Swaminathan H.Item Response Theory: Principles and Applications (1985) (Kluwer-Nijhof, Boston) CrossrefGoogle Scholar
  • Hambleton R. K., Swaminathan H., Rogers H. J.Fundamentals of Item Response Theory (1991) (Sage Publications, Newbury Park, CA) Google Scholar
  • Hofstede G.Culture's Consequences (2001) 2nd ed.(Sage, Thousand Oaks, CA) Google Scholar
  • Ip E. H.-S. Adjusting for information inflation due to local dependency in moderately large item clusters. Psychometrika (2000) 65(1):73–91CrossrefGoogle Scholar
  • Jarvis C. B., MacKenzie S. B., Podsakoff P. M. A critical review of construct indicators and measurement model specification in marketing and consumer research. J. Consumer Res. (2003) 30(September):199–218CrossrefGoogle Scholar
  • Johnson V. E., Albert J. H.Ordinal Data Modeling (1999) (Springer, New York) Google Scholar
  • Johnson M. S., Sinharay S., Bradlow E. T., Rao C. R., Sinharay S. Hierarchical item response theory. Handbook of Statistics (2006) 26(Elsevier/North-Holland, Amsterdam) 587–604Google Scholar
  • Jöreskog K. G. Simultaneous factor analysis in several populations. Psychometrika (1971) 36(4):409–426CrossrefGoogle Scholar
  • Kumar V.International Marketing Research (2000) (Prentice Hall, Upper Saddle River, NJ) Google Scholar
  • Lord F. M., Novick M. R.Statistical Theories of Mental Test Scores (1968) (Addison-Wesley Publishing Company, Reading, MA) Google Scholar
  • Lubke G. H., Muthén B. O. Applying multigroup confirmatory factor models for continuous outcomes to Likert scale data complicates meaningful group comparisons. Structural Equation Model. (2004) 11(4):514–534CrossrefGoogle Scholar
  • May H. A multilevel Bayesian IRT method for scaling socioeconomic status in international studies of education. J. Educational Behav. Statist. (2006) 31(Spring):63–79CrossrefGoogle Scholar
  • Netemeyer R. G., Bearden W. O., Sharma S. C.Scaling Procedures: Issues and Applications (2003) (Sage, Thousand Oaks, CA) CrossrefGoogle Scholar
  • Ostini R., Nering M. L.Polytomous Item Response Theory Models (2005) (Sage, Thousand Oaks, CA) Google Scholar
  • Raju N. S., Byrne B. M., Laffitte L. J. Measurement equivalence: A comparison of methods based on confirmatory factor analysis and item response theory. J. Appl. Psych. (2002) 87(3):517–529CrossrefGoogle Scholar
  • Reise S. P., Widaman K. F., Pugh R. H. Confirmatory factor analysis and item response theory: Two approaches for exploring measurement invariance. Psych. Bull. (1993) 114(3):552–566CrossrefGoogle Scholar
  • Richins M. L. The material values scale: A re-inquiry into its measurement properties and the development of a short form. J. Consumer Res. (2004) 31(S1):209–219CrossrefGoogle Scholar
  • Samejima F. Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement (1969) 17:1–100Google Scholar
  • Sen S., Gürhan-Canli Z., Morwitz V. G. Withholding consumption: A social dilemma perspective on consumer boycotts. J. Consumer Res. (2001) 28(December):399–417CrossrefGoogle Scholar
  • Shimp T. A., Sharma S. Consumer ethnocentrism: Construction and validation of the CETSCALE. J. Marketing Res. (1987) 24(August):280–289CrossrefGoogle Scholar
  • Shugan S. M. Who is afraid to give freedom of speech to marketing folks? Marketing Sci. (2006) 25(5):403–410(Editorial.)LinkGoogle Scholar
  • Spiegelhalter D. J., Best N. G., Carlin B. P., van der Linde A. Bayesian measures of model complexity and fit. J. Roy. Statist. Soc. Ser. B (2002) 64(October):583–639CrossrefGoogle Scholar
  • Steenkamp J.-B. E. M. Moving out of the U.S. silo: A call to arms for conducting international marketing research. J. Marketing (2005) 69(October):6–8Google Scholar
  • Steenkamp J.-B. E. M., Baumgartner H. Development and cross-cultural validation of a short form of CSI as a measure of optimum stimulation level. Internat. J. Res. Marketing (1995) 12(2):97–104CrossrefGoogle Scholar
  • Steenkamp J.-B. E. M., Baumgartner H. Assessing measurement invariance in cross-national consumer research. J. Consumer Res. (1998) 25(June):78–90CrossrefGoogle Scholar
  • Steenkamp J.-B. E. M., Gielens K. Consumer and market drivers of the trial rate of new consumer products. J. Consumer Res. (2003) 30(December):368–384CrossrefGoogle Scholar
  • Stremersch S., Verhoef P. C. Globalization of authorship in the marketing discipline: Does it help or hinder the field? Marketing Sci. (2005) 24(4):585–594LinkGoogle Scholar
  • Tanner M. A., Wong W. H. The calculation of posterior distributions by data augmentation. J. Amer. Statist. Assoc. (1987) 82(398):528–550CrossrefGoogle Scholar
  • Ter Hofstede F., Steenkamp J.-B. E. M., Wedel M. International market segmentation based on consumer-product relations. J. Marketing Res. (1999) 36(February):1–17CrossrefGoogle Scholar
  • Thompson E. R. Development and validation of an internationally reliable short-form of the positive and negative affect schedule (PANAS). J. Cross-Cultural Psych. (2007) 38(March):227–242CrossrefGoogle Scholar
  • Toubia O., Florès L. Adaptive idea screening using consumers. Marketing Sci. (2007) 26(3):342–360LinkGoogle Scholar
  • Toubia O., Hauser J. R., Simester D. I. Polyhedral methods for adaptive choice-based conjoint analysis. J. Marketing Res. (2004) 41(February):116CrossrefGoogle Scholar
  • Toubia O., Simester D. I., Hauser J. R., Dahan E. Fast polyhedral adaptive conjoint analysis. Marketing Sci. (2003) 22(3):273–303LinkGoogle Scholar
  • Tuerlinckx F., De Boeck P., De Boeck P., Wilson M. Models for residual dependencies. Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach (2004) (Springer-Verlag, New York) 289–316CrossrefGoogle Scholar
  • Vandenberg R. J., Lance C. E. A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organ. Res. Methods (2000) 3(1):4–70CrossrefGoogle Scholar
  • Van der Linden W. J.Linear Models for Optimal Test Design (2005) (Springer, New York) CrossrefGoogle Scholar
  • Van der Linden W. J., Boekkooi-Timminga E. A maximin model for test design with practical constraints. Psychometrika (1989) 54(2):237–247CrossrefGoogle Scholar
  • Van Rijn P. W., Eggen T. J. H. M., Hemker B. T., Sanders P. F. Evaluation of selection procedures for computerized adaptive testing with polytomous items. Appl. Psych. Measurement (2002) 26(4):393–411CrossrefGoogle Scholar
  • Veldkamp B. P. Multiple objective test assembly problems. J. Educational Measurement (1999) 36(Autumn):253–266CrossrefGoogle Scholar
  • Wainer H., Bradlow E. T., Du Z., Van der Linden W. J., Glas C. A. W. Testlet response theory: An analog for the 3-PL useful in testlet-based adaptive testing. Computerized Adaptive Testing, Theory and Practice (2000) (Kluwer-Nijhof, Boston) 245–270CrossrefGoogle Scholar
  • Wang X., Bradlow E. T., Wainer H. A general Bayesian model for testlets: Theory and applications. Appl. Psych. Measurement (2002) 26(March):109–128CrossrefGoogle Scholar
  • Winer R. S. From the editor. J. Marketing Res. (1998) 35(February):iii–ivCrossrefGoogle Scholar
  • Wooten D. B., Reed A. Playing it safe: Susceptibility to normative influence and protective self-presentation. J. Consumer Res. (2004) 31(December):551–556CrossrefGoogle Scholar
  • Yang S., Allenby G. M. Modeling interdependent consumer preferences. J. Marketing Res. (2003) 40(August):282–294CrossrefGoogle Scholar
  • Yang S., Narayan V., Assael H. Estimating the interdependence of television program viewership between spouses: A Bayesian simultaneous equation model. Marketing Sci. (2006) 25(4):336–349LinkGoogle Scholar
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