1976
DOI: 10.3102/10769986001001069
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Estimation of the Box Correction for Degrees of Freedom from Sample Data in Randomized Block and Split-Plot Designs

Abstract: It has been suggested that when the variance assumptions of a repeated measures ANOVA are not met, the df of the mean square ratio should be adjusted by the sample estimate of the Box correction factor, ɛ. This procedure works well when ɛ is low, but the estimate is seriously biased when this is not the case. An alternate estimate is proposed which is shown by Monte Carlo methods to be less biased for moderately large ɛ.

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Cited by 1,139 publications
(556 citation statements)
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“…Experiment 1 showed that the prime diagnosticity had a clear effect on identification performance but that discounting as a 3 For the negative prime diagnosticity, we found a marginally significant interaction between prime type, prime duration, and block: F(2, 162) ϭ 3.93, MSE ϭ 0.02, p ϭ .05 (Huynh-Feldt ε ϭ .53 corrected; Huynh & Feldt, 1976), but the effect was very small ( p 2 ϭ .05). function of prime duration remained a critical mechanism.…”
Section: Experiments 2: Prime Diagnosticity Strength and Notarget Condmentioning
confidence: 73%
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“…Experiment 1 showed that the prime diagnosticity had a clear effect on identification performance but that discounting as a 3 For the negative prime diagnosticity, we found a marginally significant interaction between prime type, prime duration, and block: F(2, 162) ϭ 3.93, MSE ϭ 0.02, p ϭ .05 (Huynh-Feldt ε ϭ .53 corrected; Huynh & Feldt, 1976), but the effect was very small ( p 2 ϭ .05). function of prime duration remained a critical mechanism.…”
Section: Experiments 2: Prime Diagnosticity Strength and Notarget Condmentioning
confidence: 73%
“…As is evident from the bottom two panels of Figure 9, prime diagnosticity also had a strong influence on identification performance when it was associated with prime duration, even though the overall prime diagnosticity was neutral when collapsing across prime duration. A 4 (diagnosticity condition) ϫ 3 (prime type) ϫ 2 (prime duration) ANOVA revealed significant main effects of prime type, F(2, 228) ϭ 55.05, MSE ϭ 1.03, Huynh-Feldt ε (.57) corrected p Ͻ .01 (Huynh & Feldt, 1976), and priming duration, F(1, 114) ϭ 203.72, MSE ϭ 1.85, p Ͻ .01. As in the previous experiments, the interaction of prime type and prime duration was also significant, F(2, 228) ϭ 242.25, MSE ϭ 3.07, Huynh-Feldt ε (.47) corrected p Ͻ .01, as was the interaction between these two factors and the diagnosticity condition, F(6, 228) ϭ 23.42, MSE ϭ 0.30, Huynh-Feldt ε (.47) corrected p Ͻ .01.…”
Section: Methodsmentioning
confidence: 98%
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“…ICGU was measured in seven control and eight treated animals and ICBF in ten control animals and nine treated animals. While there are insufficient data to carry out a full multivariate profile analysis, a cautious log (LCGUl univariate approach is possible (Geisser and Green house, 1958;Huynh and Feldt, 1976). The effect of raphe stimulation has resulted in a shift of the data points to the right.…”
Section: Blood Flow-glucose Utilisation Couplingmentioning
confidence: 99%
“…Repeated measures analyses of variance were conducted with medication condition (placebo, low and high dose naloxone) as the repeated measures factor and order of study sessions as a between-subjects factor. The Huynh-Feldt correction was used to determine significance values for repeated measures factors with more than two levels (Huynh and Feldt 1976). There were no main effects or interactions involving order of the study sessions.…”
mentioning
confidence: 99%