Sentence examples for sizes were classified from inspiring English sources

Mean grain size was calculated after Folk and Ward (1957) and grain sizes were classified after Arbeitsgemeinschaft Boden (2005).

Fibre sizes were classified as major type 1 and type 2 [ 17].

Effect sizes were classified as small, medium or large as proposed by Cohen (1992).

Regarding effect size, all the significant effect sizes were classified as small.

The strength of effect sizes were classified using Cohen's guidelines.[ 21] An effect of less than 0.4 was considered small,.41-.7 moderand, and greater than.7 large.

HRQoL effects using ORs offered coherent interpretations: MDs >0 resulted in ORs >1 and vice versa; effect sizes were classified as 'Trivial' if the OR was between 1 ± 0.05 (i.e. 0.95 to 1.05); 'Small': for 1 ± 0.1; 'Medium': 1 ± 0.2 and 'Large': OR <0.8 or >1.20.

Flow regimes in gas liquid solid fluidized beds encountered at different operating conditions, column diameters and particle sizes are classified using a statistical method [Diks, C., van Zwet, W.R., Takens, F., DeGoede, J., 1996. Detecting differences between delay vector distributions.

The problem sizes are classified as small, medium and large, and to accommodate the variability that might exist in the sequence-dependent setup times on both machines, three different scenarios are considered.

According to Cohen [55] absolute effect sizes are classified as small, medium, and large, for the following values, d = 20, d = 50, d = 80, respectively.

According to Cohen's [ 35] specifications for ANOVA analyses small, medium, and large effect sizes are classified as 0.02, 0.13, and 0.26 respectively.

According to Cohen's specifications for ANOVA analyses small, medium, and large effect sizes are classified as 0.02, 0.13, and 0.26 respectively [ 52].