1996
DOI: 10.2307/2265725
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Biostatistical Analysis

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Cited by 601 publications
(847 citation statements)
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“…We checked the data for normality, linearity, and absence of multi-collinearity for the purpose of the multivariate analysis, specifically the correlation analysis. The data were generally normally distributed and when they were not, they were log transformed to approximate normality [51]. Multicollinearity was not problematic [52].…”
Section: Data Analyses Techniquesmentioning
confidence: 99%
“…We checked the data for normality, linearity, and absence of multi-collinearity for the purpose of the multivariate analysis, specifically the correlation analysis. The data were generally normally distributed and when they were not, they were log transformed to approximate normality [51]. Multicollinearity was not problematic [52].…”
Section: Data Analyses Techniquesmentioning
confidence: 99%
“…This analysis revealed a D(362) = 0.32 p < 0.001 for the HATH; D(362) = 0.21 p < 0.001 for the EANT; and D(344) = 0.09 p < 0.001 for TIBS. However, according to other scientific studies, parametric statistics could be applied in larger sample sizes due to the robustness of these tests, even when there are slight differences in the distribution that do not follow the norms of normality [59][60][61][62][63][64][65][66][67].…”
Section: Discussionmentioning
confidence: 99%
“…In relation to the effect of the sample size calculated for the t-test, the Cohen's d measure is used, which is interpreted considering that d = 0.200 will be a small size, d = 0.50 will be a medium size and d = 0.80 will be a long effect size [63]. The effect of sample size calculated for the ANOVA test is calculated using the eta squared (η p 2 ) which is interpreted considering that η p 2 = 0.01 is a small size, ηp 2 = 0.06 is a medium size and η p 2 = 0.14 is a long effect size [67]. The values of the correlations are considered small from ±0.10 to ±0.29, medium from ±0.30 to ±0.49 and long to perfect from ±0.50 to ±1.00 [61].…”
Section: Discussionmentioning
confidence: 99%
“…Both viviparous and oviparous males were classified into five stages: (1) immature; (2) developing; (3A) capable of reproducing; (3B) actively spawning; (4) regressing (only for viviparous species) and (4A) resting (only for oviparous species). A Kolmogorov–Smirnov (K–S) test was performed in order to investigate possible differences in size between sexes for those species with a sufficient sample number [ 28 ].…”
Section: Methodsmentioning
confidence: 99%