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Reliability Alpha, Principal Component Analysis, and Exploratory Factor Analysis

  • Hubert Gatignon
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Abstract

In this chapter, we discuss the issues involved in building measures or scales. We focus the chapter on two types of analysis: (1) the measurement of reliability with Cronbach’s alpha and (2) the verification of unidimensionality using factor analysis. We concentrate on exploratory factor analysis (EFA) and we only introduce the notion of confirmatory factor analysis. In the next chapter, we develop in detail the confirmatory factor analytic model and examine the measures of convergent and discriminant validity.

Keywords

Principal Component Analysis Covariance Matrix Confirmatory Factor Analysis Exploratory Factor Analysis Factor Score 
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Bibliography

Basic Technical Readings

  1. Bollen, K., & Lennox, R. (1991). Conventional wisdom on measurement: A structural equation perspective. Psychological Bulletin, 110(2), 305–314.CrossRefGoogle Scholar
  2. Cheryl, B. J., MacKenzie, S. B., & Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30(September), 199–218.Google Scholar
  3. Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78(1), 98–104.CrossRefGoogle Scholar
  4. Diamanopoulos, A., & Winklhofer, H. M. (2001). Index construction with formative indicators: An alternative to scale development. Journal of Marketing Research, 38(2), 269–277.CrossRefGoogle Scholar
  5. Green, P. E. (1978). Mathematical tools for applied multivariate analysis. New York, NY: Academic [Chap. 5 and Chap. 6, Sect. 6.4].Google Scholar
  6. Lord, F. M., & Novick, M. R. (1968). Statistical theories of mental test scores. Reading, MS: Addison-Wesley [Chap. 4].Google Scholar
  7. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). New York: McGraw Hill.Google Scholar

Application Readings

  1. Aaker, J. L. (1997). Dimensions of brand personality. Journal of Marketing Research, 34(3), 347–356.CrossRefGoogle Scholar
  2. Anderson, E. (1985). The salesperson as outside agent or employee: A transaction cost analysis. Marketing Science, 4(Summer), 234–254.CrossRefGoogle Scholar
  3. Anderson, R., & Engledow, J. (1977). A factor analytic comparison of U.S. and German information seeker. Journal of Consumer Research, 3(4), 185–196.CrossRefGoogle Scholar
  4. Blackman, A. W. (1973). An innovation index based on factor analysis. Technological Forecasting and Social Change, 4, 301–316.CrossRefGoogle Scholar
  5. Churchill, G. A., Jr. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(February), 64–73.CrossRefGoogle Scholar
  6. Deshpande, R. (1982). The organizational context of market research use. Journal of Marketing, 46(4), 91–101.CrossRefGoogle Scholar
  7. Finn, A., & Kayandé, U. (1997). Reliability assessment and optimization of marketing measurement. Journal of Marketing Research, 34(2), 262–275.CrossRefGoogle Scholar
  8. Gilbert, F. W., & Warren, W. E. (1995). Psychographic constructs and demographic segments. Psychology and Marketing, 12(3), 223–237.CrossRefGoogle Scholar
  9. Green, S. G., Gavin, M. B., & Aiman-Smith, L. (1995). Assessing a multidimensional measure of radical technological innovation. IEEE Transactions on Engineering Management, 42(3), 203–214.CrossRefGoogle Scholar
  10. Murtha, T. P., Lenway, S. A., & Bagozzi, R. P. (1998). Global mind-sets and cognitive shift in a complex multinational corporation. Strategic Management Journal, 19, 97–114.CrossRefGoogle Scholar
  11. Perreault, W. D., Jr., & Leigh, L. E. (1989). Reliability of nominal data based on qualitative judgments. Journal of Marketing Research, 26(May), 135–148.CrossRefGoogle Scholar
  12. Zaichowsky, J. L. (1985). Measuring the involvement construct. Journal of Consumer Research, 12(December), 341–352.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Hubert Gatignon
    • 1
  1. 1.INSEADFontainebleau CedexFrance

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