Univariate and bivariate analyses were conducted to explore CAM recommendations, attitudes, knowledge and information seeking behaviours.
Bivariate analyses were performed to explore the potential differences in the measured variables between domestic and foreign workers using χ tests.
Bivariate analyses were used to explore the relationship between socio-demographic factors, disease-specific variables, and the depression outcome measure (PHQ-2) to determine factors that should be included as covariates in regression modeling.
Among women with births since the launch of the intervention, bivariate analyses were performed to explore the association of intervention exposure, contextual factors, and sociodemographic factors with (1) use of ANC (at least four visits); (2) institutional delivery; and (3) care-seeking for complications during pregnancy, childbirth and post-partum (see Figure 2).
Bivariate analyses were carried out to explore the relationships between the different biomarkers of lead exposure.
Initial tabulations and bivariate analyses were conducted for each variable to explore associations in the data.
Bivariate analyses were performed for the sum of all 12 PFAAs to explore potential confounding in PFAA-outcome relationships.
The descriptive and bivariate analyses were used to describe the characteristics of the sample and explore the associations between FP use in the last 12 months, fertility desires and the woman's HIV status.
To explore any need to model genetic parameters separately for H at different ages, a series of bivariate analyses were conducted for scores of 1, 2 and 3 year old dogs.
Bivariate analyses were conducted to identify significant associations among variables.
