Abstract
The authors conducted a meta-analysis of study results on the price-perceived quality relationship published from 1989 to 2006. The findings show that the price effect on perceived quality has decreased. Furthermore, the price–quality relationship is stronger in studies that use a within-subjects design, investigate higher priced products, and use samples from European countries but weaker for services, durable goods, and respondents who are familiar with the product. A striking null result indicates that the number of cues does not affect the price-perceived quality relationship significantly.
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Notes
We inspected the following journals: International Journal of Research in Marketing, Journal of the Academy of Marketing Science, Journal of Consumer Research, Journal of Marketing, Journal of Marketing Research, Journal of Retailing, Management Science, Marketing Letters, and Marketing Science.
Rao and Monroe (1989) use a total set of 54 price-perceived quality effects.
Bijmolt and Pieters (2001) compared the single value and the complete set approaches on their ability to detect the true effect size in a Monte Carlo study.
We convert t values to a point biserial correlation by using \( r_{{{\text{pbis}}}} = {\sqrt {\frac{{t^{2} }} {{t^{2} + df}}} } \), where t = t value and df = degrees of freedom (Cohen, 1988, p. 545). Glass et al. (1981) recommended a conversion of this point biserial correlation to a biserial correlation by using \( r_{{bis}} = r_{{pbis}} \cdot {\sqrt {\frac{{n_{1} \cdot n_{2} }} {{\nu \cdot n}}} } \), where ν = ordinate of unit normal distribution and n = total sample size. According to this formula, it is possible in practice to obtain values of r bis greater than 1.00 if the point biserial correlation is larger than approximately 0.8.
Rao and Monroe (1989) used a reduced set of 33 price–perceived quality data points in their analyses.
References
Bijmolt, T. H. A., and Pieters, R. G. M. (2001). Meta-analysis in marketing when studies contain multiple measurements. Marketing Letters, 12(2), 157–169.
Bijmolt, T. H. A., van Heerde, H. J., and Pieters, R. G. M. (2005). New empirical generalizations on the determinants of price elasticity. Journal of Marketing Research, 42, 141–156 (May).
Chatterjee, S., and Hadi, A. S. (1986). Influential observations, high leverage points, and outliers in linear regression. Statistical Science, 1(3), 379–416.
Churchill, G. A. Jr., Ford, N. M., Hartley, S. W., and Walker, O. C. Jr. (1985). The determinants of salesperson performance: a meta-analysis. Journal of Marketing Research, 22, 103–118 (May).
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd edn.). Hillsdale, NJ: Lawrence Erlbaum Associates.
Erickson, G. M., and Johansson, J. K. (1985). The role of price in multi-attribute product evaluations. Journal of Consumer Research, 12(2), 195–199.
Farley, J. U., Lehmann, D. R., and Sawyer A. (1995). Empirical marketing generalization using meta-analysis. Marketing Science, 14(3, Part 2), G36–G46.
Gardner, D. M. (1970). An experimental investigation of the price-quality relationship. Journal of Retailing, 46(Fall), 25–41.
Gedenk, K., and Sattler, H. (2006). Range effects in measuring attribute importance. Research Papers on Marketing and Retailing. University of Hamburg.
Gijsbrechts, E. (1993). Prices and pricing research in consumer marketing: Some recent developments. International Journal of Research in Marketing, 10(2), 115–151.
Glass, G. V., McGaw, B., and Smith, M. L. (1981). Meta-analysis in social research. Beverly Hills, CA: Sage Publications.
Hair, J. F., Tatham, R. L., Anderson, R. E., and Black, W. (1998). Multivariate data analysis (5th edn.). Upper Saddle River, NJ: Prentice Hall.
Hedges, L. V., and Olkin, I. (1985). Statistical methods for meta-analysis. New York: Academic Press.
Hofstede, G. (2003). Culture’s consequences: Comparing values, behaviors, and organizations across nations (2nd edn.). Thousand Oaks, CA: Sage Publications.
Hunter, J. E., and Schmidt, F. L. (1990). Methods of meta-analysis: Correcting error and bias in research findings. Newbury Park, CA: Sage Publications.
Johnson, D. W., Johnson, R. T., and Maruyama, G. (1983). Interdependence and interpersonal attraction among heterogeneous and homogeneous individuals: A theoretical formulation and a meta-analysis of the research. Review of Educational Research, 53(1), 5–54.
Johnson, R. L., and Kellaris, J. J. (1988). An exploratory study of price/perceived–quality relationships among consumer services. Advances in Consumer Research, 15, 316–322.
Kardes, F. R. (1996). In defense of experimental consumer psychology. Journal of Consumer Psychology, 5(3), 279–296.
Kirca, A. H., Jayachandran, S., and Bearden, W. O. (2005). Market orientation: A meta-analytic review and assessment of its antecedents and impact on performance. Journal of Marketing, 69, 24–41 (April).
Kmenta, J. (1986). Elements of econometrics. New York: Macmillan.
Lichtenstein, D. R., and Burton, S. (1989). The relationship between perceived and objective price quality. Journal of Marketing Research, 26, 429–443 (November).
Lichtenstein, D. R., Ridgway, N. M., and Netemeyer, R. G. (1993). Price perceptions and consumer shopping behavior: A field study. Journal of Marketing Research, 30, 234–245 (May).
Lipsey, M. W., and Wilson, D. B. (2001). Practical meta-analysis. Thousand Oaks, CA: Sage Publications.
Magnusson, D. (1967). Test theory. Reading. MA: Addison and Wesley.
Miyazaki, A. D., Grewal, D., and Goodstein, R. C. (2005). The effect of multiple extrinsic cues in quality perceptions: A matter of consisteny. Journal of Consumer Research, 32, 146–153 (June).
Monroe, K. B. (2003). Pricing: Making profitable decisions (3rd edn.). Boston: McGraw-Hill.
Monroe, K. B., and Dodds, W. B. (1988). A research program for establishing the validity of the price-quality relationship. Journal of the Academy of Marketing Science, 16(1), 151–168.
Nagle, T. (1984). Economic foundations for pricing. Journal of Business, 57(1), S3–S26.
Peterson, R. A. (2001). On the use of college students in social science research: insights from a second-order meta-analysis. Journal of Consumer Research, 28, 450–461 (December).
Petty, R. E., and Cacioppo, J. T. (1996). Addressing disturbing and disturbed consumer behavior. Is it necessary to change the way we conduct behavioral science? Journal of Marketing Research, 33, 1–8 (February).
Rao, A. R., and Monroe, K. B. (1988). The moderating effect of prior knowledge on cue utilization in product evaluations. Journal of Consumer Research 15, 253–264 (September).
Rao, A. R., and Monroe, K. B. (1989). The effect of price, brand name, and store name on buyers’ perceptions of product quality: An integrative review. Journal of Marketing Research, 26, 351–357 (August).
Rosen, S. (1974). Hedonic prices and implicit markets: Product differentiation in pure competition. Journal of Political Economy, 82(1), 34–55.
Rosenthal, R. (1993). Cumulating evidence. In G. Keren and C. Lewis (Eds.), A handbook for data analysis in the behavioral sciences: Methodological issues (pp. 519–559). Hillsdale, NJ: Lawrence Erlbaum Associates.
Rosenthal, R. (1994). Parametric measures of effect size. In H. Cooper and L. V. Hedges (Eds.), The handbook of research synthesis (pp. 231–244). New York: Russell Sage Foundation.
Sawyer, A. G. (1975). Demand artifacts in laboratory experiments in consumer research. Journal of Consumer Research, 1(4), 20–30.
Sethuraman, R. (1995). A meta-analysis of national brand and store brand cross-promotional price elasticities. Marketing Letters, 6(4), 275–286.
Silver, N. C, and Dunlap, W. P. (1987). Averaging correlation coefficients: Should Fisher’s z transformation be use? Journal of Applied Psychology, 72(1), 146–148.
Smith, K. H., and Natesan, C. N. (1999). Consumer price-quality beliefs: Schema variables predicting individual differences. Advances in Consumer Research, 26, 562–568.
Tellis, G. J. (1988). The price elasticity of selective demand: A meta-analysis of econometric models of sales. Journal of Marketing Research, 25(4), 331–341.
Völckner, F., and Sattler, H. (2005). Separating negative and positive effects of price with choice-based conjoint analyses. Marketing–Journal of Research and Management, 1(1), 5–13.
Wherry, R. J. (1984). Contributions to correlational analysis. Orlando, FL: Academic Press.
Winer, R. S. (1999). Experimentation in the twenty-first century: The importance of external validity. Journal of the Academy of Marketing Science, 27, 349–358 (Summer).
Zeithaml, V. A. (1988). Consumer perceptions of price, quality and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(2), 2–22.
Acknowledgement
The author would like to thank the editor and the two anonymous reviewers for their helpful comments and suggestions. The comments of Henrik Sattler on previous drafts of this manuscript are also gratefully acknowledged.
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Völckner, F., Hofmann, J. The price-perceived quality relationship: A meta-analytic review and assessment of its determinants. Market Lett 18, 181–196 (2007). https://doi.org/10.1007/s11002-007-9013-2
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DOI: https://doi.org/10.1007/s11002-007-9013-2