Does education have an association with nutrition status independent of SES in Kenya at the individual level?
As a first step in the analysis, use scatterplots to show one-way associations between independent variables (water, sanitation, education, SES) and outcome variables (nutritional status – either prevalence of low arm circumference in Bangladesh or mean weight for age z-scores in Kenya). Note that individual data gives prevalence as a continuous variable in district level datasets such as Bangladesh; but the weight for age z-scores itself at individual level is given in individual level datasets such as Kenya. CLICK HERE to see an exercise in Scatterplotting. One type of Scatterplot results: Prevalence of low AC by water source in Bangladesh by District There is a positive association with the prevalence of low arm circumference and the use of other (unsafe) water for the household. This is shown by the slope of the fitted line — we will check in a moment to see if this is significant. This positive slope is reasonable, considering contaminated water can cause illness and therefore lo
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