Type I error rate comparisons of post hoc procedures for I × J chi-square tables

Educational and Psychological Measurement

Volumn 60, Issue 5, 2000, Pages 735-754

  MacDonald, Paul L ^a   Gardner, Robert C ^a  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0034395862     PISSN: 00131644     EISSN: None     Source Type: Journal    
DOI: 10.1177/00131640021970871     Document Type: Article

References (26)

1. Agresti, A. (1996). An introduction to categorical data analysis. New York: John Wiley.
2. Beasley, T. M., & Schumacker, R. E. (1995). Multiple regression approach to analyzing contingency tables: Post hoc and planned comparison procedures. Journal of Experimental Education, 64(1), 79-93.
3. Delucchi, K. L. (1983). The use and misuse of chi-square: Lewis and Burke revisited. Psychological Bulletin, 94(1), 166-176.
4. Delucchi, K. L. (1993). On the use and misuse of chi-square. In G. Keren & C. Lewis (Eds.), A handbook for data analysis in the behavioral sciences: Statistical issues. Hillsdale, NJ: Lawrence Erlbaum.
5. Edgington, E. S. (1974). A new tabulation of statistical procedures used in APA journals. American Psychologist, 29, 25-26.
6. Evans, M., Hastings, N., & Peacock, B. (1993). Statistical distributions (2nd ed.). New York: John Wiley.
7. Gardner, R. C. (in press). Psychological statistics using SPSS for Windows. Upper Saddle River, NJ: Prentice Hall.
8. Gart, J. J. (1962). Approximate confidence limits for the relative risk. Journal of the Royal Statistical Society, Series B, 24, 454-463.
9. Gold, R. Z. (1963). Tests auxiliary to tests in a Markov chain. Annals of Mathematical Statistics, 32, 535-548.
10. Goodman, L. A. (1964a). Simultaneous confidence intervals for contrasts among multinomial populations. Annals of Mathematical Statistics, 35, 716-725.
11. Goodman, L. A. (1964b). Simultaneous confidence limits for cross-products ratios in contingency tables. Journal of the Royal Statistical Society, Series B, 26, 86-102.
12. Goodwin, L. D., & Goodwin, W.L. (1985). Statistical techiniques in AERJ articles, 1979-1983: The preparation of graduate students to read the educational research literature. Educational Researcher, 14, 5-11.
13. Haberman, S. J. (1973). The analysis of residuals in cross-classified tables. Biometrics, 29, 205-220.
14. Haberman, S. J. (1978). Analysis of qualitative data (Vol. 1). London: Academic Press.
15. Hinkle, D. E., Wiersma, W., & Jurs, S. G. (1988). Applied statistics for the behavioral sciences (2nd ed.). Boston: Houghton Mifflin.
16. Lam, T. C. (1996). On the interpretation of an R × C chi-square: A Monte Carlo investigation. Unpublished senior undergraduate honors thesis, University of Western Ontario, London, Ontario, Canada.
17. Marascuilo, L. A., & McSweeney, M. (1977). Nonparametric and distribution-free methods for the social sciences. Monterey, CA: Brooks/Cole.
18. Marascuilo, L. A., & Serlin, R. C. (1988). Statistical methods for the social and behavioral sciences. New York: W. H. Freeman.
19. Mouly, G. J. (1978). Educational research: The art and science of investigation. Boston: Allyn & Bacon.
20. Popham, W. J., & Sirotnik, K. A. (1973). Educational statistics: Use and interpretation (2nd ed.). New York: Harper & Row.
21. Reynolds, H. T. (1984). Analysis of nominal data. Beverly Hills, CA: Sage.
22. Schinka, J. A., LaLone, L., & Broeckel, J. A. (1997). Statistical methods in personality assessment research. Journal of Personality Assessment, 68(3), 487-496.
23. Seaman, M. H., & Hill, C. C. (1996). Pairwise comparisons for proportions: A note on Cox and Key. Educational and Psychological Measurement, 56(3), 452-459.
24. Sidak, Z. (1967). Rectangular confidence regions for the means of multivariate normal distributions. Journal of the American Statistical Association, 62, 626-633.
25. Siegel, S., & Castellan, N. J. (1988). Nonparametric statistics for the behavioral sciences (2nd ed.). New York: McGraw-Hill.
26. Thompson, B. (1988). Misuse of chi-square contingency-table test statistics. Educational and Psychological Research, 8(1), 39-49.