I want to validate the findings by using different anthropometric methods on same sample....
Triangulation means that multiple different observations of a phenomenon produce the same result. So, you would need separate ways of operationalizing each of your "methods", and then a statistical technique for comparing the resulting variables.
Depending on the kinds of theories you have and kinds of measures you produce, your choice would include t-Test and correlations if you have two methods
Sir actually I want to estimate malnutrition in under five using z score by different anthropometric measurements with head circumference, chest circumference and BMI if feasible......
For that kind of data, I think the most straightforward approach would be to form a correlation matrix across your multiple measures. That will show you which ones are so highly correlated that they clearly measure the same thing, and which correlations are so low that a pair of variables is unlikely to be capturing the same content.
MT is a very useful tool to validate any research.The best way to collect Data in MT should involve both qualitative and quantitative methods.
For quantitative methods u can use statistical tests and for qualitative methods U can make themes and later on cross check with the quantitative data
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