Why we don't really know what statistical significance means: Implications for educators

Journal of Marketing Education

Volumn 28, Issue 2, 2006, Pages 114-120

  Hubbard, Raymond ^a   Armstrong, J Scott ^b  

^a DRAKE UNIVERSITY   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

levels; (Overlapping) confidence interval; Fisher; Neyman Pearson; p < criterion; p values

Indexed keywords

EID: 33745767313     PISSN: 02734753     EISSN: 15526550     Source Type: Journal    
DOI: 10.1177/0273475306288399     Document Type: Article

References (29)

1. Aaker, David A., Vinay Kumar, and George S. Day. 2001. Marketing research. 7th ed. New York: John Wiley.
2. Burns, Alvin C., and Ronald F. Bush. 2000. Marketing research. 3rd ed. Upper Saddle River, NJ: Prentice Hall.
3. Churchill, Gilbert A., and Dawn Iacobucci. 2002. Marketing research: Methodological foundations. 8th ed. New York: Harcourt.
4. Cicchetti, Domenic V. 1998. Role of null hypothesis significance testing (NHST) in the design of neuropsychologic research. Journal of Clinical and Experimental Neuropsychology 20: 293-295.
5. Cooper, Donald R., and Pamela S. Schindler. 2006. Marketing research. New York: McGraw-Hill.
6. Crask, M., R. J. Fox, and R. G. Stout. 1995. Marketing research: Principles and application. Englewood Cliffs, NJ: Prentice Hall.
7. Fisher, Ronald A. 1955. Statistical methods and scientific induction. Journal of the Royal Statistical Society, Series B, 17 (1): 69-78.
8. Gigerenzer, Gerd, Stefan Krauss, and Oliver Vitouch. 2004. The null ritual: What you always wanted to know about significance testing but were afraid to ask. In The Sage handbook of quantitative methodology for the social sciences, edited by D. Kaplan, 391-408. Thousand Oaks, CA: Sage.
9. Gigerenzer, G., Z. Swijtink, T. Porter, L. Daston, J. Beatty, and L. Kruger. 1989. The empire of chance. Cambridge: Cambridge University Press.
10. Goodman, Steven N. 1993. p values, hypothesis tests, and likelihood: Implications for epidemiology of a neglected historical debate. American Journal of Epidemiology 137 (March): 485-496.
11. Hair, Joseph F., Robert P. Bush, and David J. Ortinau. 2003. Marketing research within a changing information environment. 2nd ed. New York: McGraw-Hill.
12. Hubbard, Raymond, and J. Scott Armstrong. 1992. Are null results becoming an endangered species in marketing? Marketing Letters 3 (April): 127-136.
13. Hubbard, Raymond, and J. Scott Armstrong. 1994. Replications and extensions in marketing: Rarely published but quite contrary. International Journal of Research in Marketing 11 (June): 233-248.
14. Hubbard, Raymond, and M. J. Bayarri. 2003. Confusion over measures of evidence (p's) versus errors (α's) in classical statistical testing (with comments). The American Statistician 57 (August): 171-182.
15. Kinnear, Thomas C., and James R. Taylor. 1991. Marketing research: An applied approach. 4th ed. New York: McGraw-Hill.
16. Lehmann, Donald R., Senil Gupta, and Joel H. Steckel. 1998. Marketing research. New York: Addison-Wesley.
17. Leone, Robert P., and Randall L. Schultz. 1980. A study of marketing generalizations. Journal of Marketing 44 (Winter): 10-18.
18. Lindsay, R. Murray. 1995. Reconsidering the status of tests of significance: An alternative criterion of adequacy. Accounting, Organizations and Society 20 (1): 35-53.
19. Malhotra, Naresh K. 2004. Marketing research: An applied orientation. 4th ed. Upper Saddle River, NJ: Prentice Hall.
20. McDaniel, C., and R. Gates. 2002. Marketing research: The impact of the internet. 5th ed. Cincinnati, OH: South-Western.
21. Ottenbacher, Kenneth J. 1996. The power of replications and replications of power. The American Statistician 50 (3): 271-275.
22. Parasuraman, A., Dhruv Grewal, and R. Krishnan. 2004. Marketing research. Boston: Houghton Mifflin.
23. Royall, Richard M. 1997. Statistical evidence: A likelihood paradigm. New York: Chapman and Hall.
24. Sawyer, Alan G., and J. Paul Peter. 1983. The significance of statistical significance tests in marketing research. Journal of Marketing Research 20 (May): 122-133.
25. Schmidt, Frank L. 1996. Statistical significance testing and cumulative knowledge in psychology: Implications for training of researchers. Psychological Methods 1 (1): 115-129.
26. Sudman, Seymour, and Edward Blair. 1998. Marketing research: A problem-solving approach. New York: McGraw-Hill.
27. Thompson, Bruce. 2002. What future quantitative social science research could look like: Confidence intervals for effect sizes. Educational Researcher 31 (April): 25-32.
28. Tull, Donald S., and Del I. Hawkins. 1993. Marketing research: Measurement & method. 6th ed. New York: Macmillan.
29. Zikmund, William G. 1997. Exploring marketing research. 6th ed. New York: Dryden Press.