Factor Analysis

Journal of Consumer Psychology

Volumn 10, Issue 1-2, 2001, Pages 75-82

  Stewart, David ^a   Barnes, James ^a   Cote, Joseph ^a   Cudeck, Robert ^a   Malthouse, Edward ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0345775477     PISSN: 10577408     EISSN: None     Source Type: Journal    
DOI: 10.1207/15327660151044005     Document Type: Article

References (30)

1. Stewart, David W. (1981). Application and misapplication of factor analysis in marketing research. Journal of Marketing Research, 18, 51-62.
2. Glymour, Clark N., Scheines, Richard, Spines, Peter, & Kelly, Kevin. (1987). Discovering causal structure: Artificial intelligence, philosophy of science, and statistical modeling. San Diego, CA: Academic.
3. Basilevsky, Alexander. (1994). Statistical factor analysis and related methods. New York: Wiley.
4. McDonald, Roderick P. (1985). Factor analysis and related methods. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
5. Stewart, David W. (1981). Application and misapplication of factor analysis in marketing research. Journal of Marketing Research, 18, 51-62.
6. Comrey, Andrew L., & Lee, Howard B. (1992). A first course in factor analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
7. Harman, Harry H. (1976). Modern factor analysis. Chicago: University of Chicago Press.
8. Hendrickson, Alan E., & White, Paul Owen. (1964). Promax: A quick method for rotation to oblique simple structure. The British Journal of Statistical Psychology, 17, 65-70.
9. Iacobucci, Dawn. (1994). Classic factor analysis. In Richard P. Bagozzi (Ed.), Principles of marketing research (pp. 279-316). Cambridge, MA: Blackwell.
10. Kim, Jae-On, & Mueller, Charles W. (1978a). Factor analysis: Statistical methods and practical issues. Beverly Hills, CA: Sage.
11. Kim, Jae-On, & Mueller, Charles W. (1978b). Introduction to factor analysis: What it is and how to do it. Beverly Hills, CA: Sage.
12. Lawley, D. N., & Maxwell, A. E. (1971). Factor analysis as a statistical method. New York: Elsevier.
13. Mulaik, Stanley A. (1972). The foundations of factor analysis. New York: McGraw-Hill.
14. Thurstone, Louis L. (1947). Multiple factor analysis. Chicago: University of Chicago Press.
15. Madansky, Albert. (1988). Prescriptions for working statisticians. New York: Springer-Verlag.
16. Stevens, James. (1992). Applied multivariate statistics for the social sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
17. Nunnally, Jum C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.
18. Bollen, Kenneth A. (1995). Structural equations with latent variables (2nd ed.). New York: Wiley.
19. Box, George. (1979). Robustness is the strategy of scientific model building. In Robert L. Launer & Graham N. Wilkinson (Eds.), Robustness in statistics (p. 202). New York: Academic.
20. Tukey, John W. (1977). Exploratory data analysis. Reading, MA: Addison-Wesley.
21. Cleveland, William S., & McGill, Robert. (1984). The many faces of a scatterplot. Journal of the American Statistical Association, 79(388), 807-822.
22. Gentleman, R., & Crowley, J. (1991). Graphical methods for censored data. Journal of the American Statistical Association, 86(415), 678-683.
23. Gibbons, Jean Dickinson. (1993). Nonparametricstatistics: An introduction. Newbury Park, CA: Sage.
24. Hoaglin, David C., Mosteller, Frederick, & Tukey, John W. (1985). Exploratory data tables, trends, and shapes. New York: Wiley.
25. Lehmann, E. L., & D'Abrera, H. J. M. (1975). Nonparametrics: Statistical methods based on ranks. San Francisco: Holden-Day.
26. Mooney, Christopher Z., & Duval, Robert D. (1993). Bootstrapping: A nonparametric approach to statistical inference. Newbury Park, CA: Sage.
27. Siegel, Sidney. (1956). Nonparametric statistics for the behavioral sciences. New York: McGraw-Hill.
28. Velleman, Paul F., & Hoaglin, David C. (1981). Applications, basics and computing of exploratory data analysis. Boston: Duxbury.
29. Cudeck, Robert, & O'Dell, Lisa L. (1994). Applications of standard error estimates in unrestricted factor analysis: Significance tests for factor loadings and correlations. Psychological Bulletin, 115, 475-487.
30. Jöreskog, Karl, & Sörbom, Dag. (1996). Lisrel 8: User's reference guide. Chicago: Scientific Software International.