Scheffe, Henry

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Henry, U.S. mathematician, 1907–.
Scheffé test - compares the difference between means in the analysis of variance.
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It is the equivalent of multiple individual t-tests between all pairs of groups in the comparison It is one of the lesset-used post hoc comparisons because there is no adjustment to the observed significance level for multiple comparisons In other words, it is less rigorous than some of the more commonly used post hoc comparisons (e.g., the Scheffe test).
The ANOVA method with repeated measurements and the Scheffe test have been used for the investigation of the changes in the indices of interest between the various phases of sampling.
Same letter indicates no significant differences between means ([F.sub.2.7] = 87; P [less than or equal to] 0.05; Scheffe test).
Scheffe test post hoc comparison was done to define the pairs of concentrations with a significant difference.
The so-called simplex-network Scheffe test for a three-component system was applied [29].
Descriptive statistics and Scheffe test were used to analyze the data.
Scheffe test was used to verify the validity of the differences, which were revealed in the one-way analysis of variance (ANOVA).
In order to find out the source of the difference between groups, the results of post hoc Scheffe test are presented in Table 2.
A one-way ANOVA and Scheffe test were carried out on study period and SL, OPL, egg number, egg volume, and egg proportion during the spawning season in each of the two populations.
This predominance was particularly evident for particles with an aerodynamic diameter of 1.1-4.7 [micro]m when workplace and indoor background air curves were compared (Scheffe test: p < 0.05).
The statistical significance of between-group comparisons was determined using parametric and nonparametric criteria when appropriate (Kruskal-Wallis test with subsequent multiple comparisons, Mann-Whitney test, Wilcoxon test, [chi square] test, ANOVA, post hoc Scheffe test, and t-test).