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Correlation between variables was analysed by Spearman test.
Correlations between variables was analysed using the non-parametric Spearman Rank Order Test.
The correlation between variables was analysed with the Pearson and the Spearman tests.
The strength of association between variables was analysed with the Pearson product moment correlation coefficient when the data were normally distributed or with the Spearman product moment correlation coefficient if the data displayed a non-Gaussian distribution.
Redundancy and colinearity between variables was analysed using Pearson correlations.
Normal distribution was tested using the Shapiro-Wilk-test, and relationship between variables was analysed applying Pearson's product moment correlation.
Similar(54)
Associations between variables were analysed using the Spearman's correlation.
Interrelationships between variables were analysed using crosstabulations, the Chi-square statistic and bivariate logistic regression.
Correlations between variables were analysed by using Pearson correlation or Spearman's rho tests when appropriate.
Associations between variables were analysed by the Spearman rank order correlation analysis (rs).
Relationships between variables were analysed by simple linear regression, or stepped multiple regression analysis with entry at p < 0.1.
More suggestions(16)
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between groups was analysed
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between variables was excluded
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