Optimization of sample size in controlled experiments: The CLAST rule

Behavior Research Methods

Volumn 38, Issue 1, 2006, Pages 65-76

  Botella, Juan ^a   Ximénez, Carmen ^a   Revuelta, Javier ^a   Suero, Manuel ^a  

^a UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BEHAVIORAL RESEARCH; COMPUTER SIMULATION; DECISION SUPPORT SYSTEM; HUMAN; METHODOLOGY; SAMPLE SIZE;

BEHAVIORAL RESEARCH; COMPUTER SIMULATION; DECISION SUPPORT TECHNIQUES; HUMANS; SAMPLE SIZE;

EID: 33746730574     PISSN: 1554351X     EISSN: None     Source Type: Journal    
DOI: 10.3758/BF03192751     Document Type: Article

References (24)

1. ALLISON, D. B., SILVERSTEIN, J. M., & GORMAN, B. S. (1996). Power, sample size estimation, and early stopping rules. In R. D. Franklin, D. B. Allison, & B. S. Gorman (Eds.), Design and analysis of single-case research (pp. 335-371). Mahwah, NJ: Erlbaum.
2. ARNOLD, D. H., & HARVEY, E. A. (1998). Data monitoring: A hypothesis-testing approach for treatment-outcome research. Journal of Consulting & Clinical Psychology, 66, 1030-1035.
3. BECKER, R. A., CHAMBERS, J. M., & WILKS, A. R. (1988). The new S language: A programming environment for data analysis and graphics. New York: Chapman & Hall.
4. COHEN, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
5. FISKE, D. W., & JONES, L. V. (1954). Sequential analysis in psychological research. Psychological Bulletin, 51, 264-275.
6. FRICK, R. W. (1998). A better stopping rule for conventional statistical tests. Behavior Research Methods, Instruments, & Computers, 30, 690-697.
7. GHOSH, B. K., & SEN, P. K. (EDS.) (1991). Handbook of sequential analysis. New York: Dekker.
8. HAYS, W. L. (1988). Statistics (4th ed.). Philadelphia: Holt, Rinehart & Winston.
9. JENNISON, C., & TURNBULL, B. W. (2000). Group sequential methods with applications to clinical trials. Boca Raton, FL: Chapman & Hall.
10. KIMBALL, A. W. (1950). Sequential sampling plans for use in psychological test work. Psychometrika, 15, 1-15.
11. KIRK, R. E. (1995). Experimental design: Procedures for the behavioral sciences (3rd ed.). Belmont, CA: Brooks/Cole.
12. LACHIN, J. M. (1981). Introduction to sample size determination and power analysis for clinical trials. Controlled Clinical Trials, 2, 93-113.
13. LAI, T. L. (2001). Sequential analysis: Some classical problems and new challenges. Statistica Sinica, 11, 303-408.
14. LAN, K. K. G., & DEMETS, D. L. (1989). Changing frequency of interim analysis in sequential monitoring. Biometrics, 45, 1017-1020.
15. O'BRIEN, P. C., & FLEMING, T. R. (1979). A multiple testing procedure for clinical trials. Biometrics, 35, 549-556.
16. O'BRIEN, R. G., & MULLER, K. E. (1993). Unified power analysis for t-tests through multivariate hypotheses. In L. K. Edwards (Ed.), Applied analysis of variance in behavioral science (pp. 297-344). New York: Dekker.
17. SIEGMUND, D. (1985). Sequential analysis: Tests and confidence intervals. New York: Springer.
18. SIEGMUND, D. (1994). A retrospective of Wald's sequential analysis: Its relation to challenge-point detection and sequential clinical trials. In S. S. Gupta & J. O. Berger (Eds.), Statistical decision theory and related topics (pp. 9-33). New York: Springer.
19. VENABLES, W. N., & SMITH, D. M. (2001). An introduction to R. Retrieved February 16, 2005 from http://www.r-project.org/.
20. VOS, H. J. (2001). A minimax procedure in the context of sequential testing problems in psychodiagnostics. British Journal of Mathematical & Statistical Psychology, 54, 139-159.
21. WALD, W. (1947). Sequential analysis. New York: Dover.
22. WETHERILL, G. B., & GLAZEBROOK, K. D. (1986). Sequential methods in statistics. London: Chapman & Hall.
23. WHITEHEAD, J., & BRUNIER, H. (1990). The double triangular test: A sequential test for the two-sided alternative with early stopping under the null hypothesis. Sequential Analysis, 9, 117-136.
24. WINER, B. J. (1971). Statistical principles in experimental design (2nd ed.). New York: McGraw-Hill.