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This pattern of positive and negative associations probably explains why significant bivariate relationships were not found.
With all variables in the model, competence was associated with outcome expectancies (bivariate relationships were not significant) such that competence in Assisting in addressing barriers and securing support was positively and competence in Assessing negatively associated with positive treatment expectancies.
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Although these relationships were not significant when tested in a bivariate framework, these results could indicate that wood anatomical and chemical traits are correlated in tropical trees, when larger numbers of species are available for analysis.
Relationships weren't working out.
Although statistically significant interrelationships were not found among the three variables, significant bivariate relationships were found between intimate violence and HIV/AIDS high-risk behaviors.
Bivariate relationships were evaluated by the Spearman rho test (r s ).
Before the full model was fit, bivariate relationships were explored.
The bivariate relationships were calculated using Spearman's correlation coefficients.
Bivariate relationships were examined using the Pearson correlation analysis.
Other variables were continuous, so bivariate relationships were assessed using Spearman's Rank correlation.
Bivariate relationships were evaluated with Pearson correlation coefficients and independent samples t-tests as appropriate.
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