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A Monte Carlo Study on the Performance of a Corrected Formula for ɛ̃ Suggested by Lecoutre

Author

Listed:
  • Ru San Chen
  • William P. Dunlap

Abstract

Lecoutre (1991) has pointed out an error in the Huynh and Feldt (1976) formula for ɛ̃ used to adjust the degree of freedom for an approximate test in repeated measures designs with two or more independent groups. The present simulation study confirms that Lecoutre’s corrected ɛ̃ yields less biased estimation of population ɛ and reduces Type I error rates when compared to Huynh and Feldt’s (1976) ɛ̃. The increased accuracy in Type I errors for group-treatment interactions may become substantial when sample sizes are close to the number of treatment levels.

Suggested Citation

  • Ru San Chen & William P. Dunlap, 1994. "A Monte Carlo Study on the Performance of a Corrected Formula for ɛ̃ Suggested by Lecoutre," Journal of Educational and Behavioral Statistics, , vol. 19(2), pages 119-126, June.
    • Handle: RePEc:sae:jedbes:v:19:y:1994:i:2:p:119-126
    DOI: 10.3102/10769986019002119
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