Analysis of Data for Measuring Food Availability, Access and Nutritional Status (Topic 15)

Training Material
Subtitle: 
[Policy Options on Child Mortality: Correlation Analysis]

Bangladesh has already achieved its MDG on the child mortality rate. What is the empirical evidence on the association between the child mortality rate and underweight children? Verification of this issue calls for knowledge of statistical tools to study association between variables. One important statistical concept on measures of association between variables is correlation. It is important to note that correlation is only a measure of association and it does not imply causation. There are different measures of association. Karl Pearson’s correlation coefficient provides a measure of gross (zero-order) linear association between variables.
 
How do we measure the association between two variables after netting out the mutual association with other related variables? Why is this useful? How does one measure non-linear association between variables? What is meant by rank correlation? How does one estimate Spearman’s rank correlation coefficient? How does one verify the significance of estimates of linear and rank correlation coefficients?
 

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Date and language
Jan 2012
English
Personal Author
Location
Physical Location: 
FPMU Documentation Center
Other information
Form: 
Slides
Form: 
Web resource

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