Hi,

I am currently in the initial stage of my research and don't have much experience in statistical analysis. This might be a very basic question
I am doing analysis based on my survey to find out gender vulnerability. For that I have created a composite Gender vulnerability index using using 4 indices human capital index, physical capital index, financial capita index and social capital index. While checking for scale reliability I am getting very low cronbachs alpha. I am not getting any solution to this problem. It will be really helpful to clarify this issue.

Code:
egen hci = rsum( education canswim )
egen pci = rsum( entryoffloodwater accesstofloodshelter )
egen sci = rsum( receivedwarnings reliefmaterialrecieved )
egen fci = rsum( ownhouse ownland owngold ownvehicle ownlivestock havesavings )
egen gvi = rsum( hci pci sci fci )
Code:
input byte(education canswim ownhouse ownland ownglod ownvehicle ownlivestock havesavings receivewarnings reliefmaterialrecieved entryoffloodwater accesstofloodshelter)
2 1 1 1 0 1 0 1 1 1 3 1
3 0 1 0 1 0 0 1 1 1 3 1
2 1 0 0 0 1 0 1 0 2 1 1
4 0 1 1 1 0 1 1 0 2 1 1
3 1 1 1 0 1 0 1 0 1 1 1
2 0 1 0 1 0 1 1 0 1 1 1
1 1 1 1 0 0 0 0 0 1 3 1
3 1 1 0 0 0 0 1 0 1 3 1
1 1 0 1 0 1 0 1 0 1 1 1
5 0 1 0 0 0 1 1 0 1 1 1
3 1 1 1 1 0 0 1 1 2 1 1
2 1 1 0 0 0 1 1 1 2 1 1
4 1 0 1 0 1 0 1 0 0 3 2
2 0 1 0 0 0 0 0 0 0 3 2
1 1 0 1 0 0 0 1 0 1 3 1
3 0 1 1 1 0 1 1 0 1 3 1
1 1 0 1 0 0 0 1 0 1 3 2
3 0 1 1 1 0 1 1 0 1 3 2
4 1 1 1 0 1 0 1 0 1 1 1
3 0 0 0 1 0 0 0 0 1 1 1
1 1 1 1 0 1 0 1 0 0 3 1
3 0 0 0 1 0 0 1 0 0 3 1
3 1 1 1 0 1 0 1 0 2 1 1
2 0 1 1 1 0 1 1 0 2 1 1
3 1 1 1 0 1 0 1 0 1 1 1
2 1 1 0 1 0 1 1 0 1 1 1
4 1 1 1 0 0 0 1 1 1 1 1
3 0 0 0 0 0 1 1 1 1 1 1
1 1 0 0 0 1 0 1 0 1 3 2
3 0 1 0 0 0 0 1 0 1 3 2
4 1 1 1 0 1 0 1 0 1 3 2
3 0 0 0 1 0 0 1 0 1 3 2
2 0 1 0 1 0 0 1 0 0 3 1
3 1 1 1 0 1 0 1 0 1 1 1
2 0 1 0 1 0 1 1 0 1 1 1
4 0 1 1 0 0 0 1 0 1 1 1
3 0 1 0 1 0 1 1 0 1 1 1
3 0 1 1 0 0 0 1 0 1 3 1
2 0 1 0 0 0 0 1 0 1 3 1
3 0 1 1 0 0 0 1 0 1 1 1
3 1 1 1 0 1 0 1 0 1 1 1
2 0 0 0 1 0 0 0 0 1 1 1
3 1 1 1 0 1 0 1 0 1 3 1
2 1 1 1 1 0 1 1 0 1 3 1
2 1 1 1 0 1 0 1 0 2 1 1
1 0 0 0 1 0 0 0 0 2 1 1
3 0 1 1 0 1 0 1 0 2 3 1
2 0 0 0 1 0 0 0 0 2 3 1
3 1 1 1 0 1 0 1 0 0 3 2
1 0 0 0 1 0 1 1 0 0 3 2
4 0 1 1 0 0 1 1 0 1 3 1
3 1 1 1 0 1 0 1 0 2 1 1
2 0 1 0 1 0 1 1 0 2 1 1
3 1 1 1 0 1 0 1 1 1 1 1
2 0 1 0 0 0 0 0 1 1 1 1
3 1 1 1 0 1 0 1 0 1 1 1
2 0 0 0 0 0 0 0 0 1 1 1
3 1 1 1 0 1 0 1 1 1 1 2
2 0 0 0 1 0 1 1 1 1 1 2
3 0 1 1 0 0 0 0 0 1 1 1
2 1 1 1 0 1 0 1 1 1 1 1
1 0 0 0 0 0 0 0 1 1 1 1
4 1 1 1 0 1 0 1 1 1 1 1
2 0 0 0 0 0 0 0 1 1 1 1
1 1 1 1 0 1 0 1 1 1 1 1
2 0 1 0 1 0 0 0 1 1 1 1
3 1 1 1 0 1 0 1 1 1 1 1
4 0 0 0 0 0 0 0 1 1 1 1
3 1 1 1 0 0 1 1 0 1 1 1
1 1 1 1 0 1 0 1 0 1 1 1
2 1 1 0 1 0 1 1 0 1 1 1
1 1 1 1 0 1 0 1 0 1 3 1
2 1 0 0 1 0 1 1 0 1 3 1
3 1 1 1 0 1 0 1 0 1 1 1
2 1 1 0 1 0 0 1 0 1 1 1
1 1 1 1 0 1 0 1 0 1 3 2
1 0 1 0 1 0 0 1 0 1 3 2
3 1 1 1 0 1 0 1 0 1 1 2
2 0 0 0 1 0 1 1 0 1 1 2
3 1 1 1 0 0 0 1 0 1 3 1
2 0 1 0 1 0 1 1 0 1 3 1
1 1 0 1 0 1 0 1 0 1 3 2
3 0 1 1 1 0 1 1 0 1 3 2
1 1 0 1 0 0 0 1 0 1 3 1
3 0 0 1 1 0 1 1 0 1 3 1
2 1 1 1 0 1 0 1 0 1 1 1
3 1 1 0 1 0 1 1 0 1 1 1
2 1 0 0 0 1 0 1 0 1 1 1
4 0 0 1 0 0 0 1 0 1 1 1
2 1 1 1 0 1 0 1 0 1 1 1
3 0 1 0 1 0 0 1 0 1 1 1
2 1 0 1 0 1 0 1 0 1 3 2
1 1 0 1 1 0 1 1 0 1 3 2
3 0 1 1 1 0 1 1 0 1 3 2
3 0 1 1 0 0 1 1 0 1 1 1
2 1 1 1 0 1 0 1 0 1 1 1
3 1 0 0 1 0 1 1 0 1 1 1
1 1 0 1 0 1 0 1 0 0 3 2
4 0 1 1 1 0 1 1 0 0 3 2
4 1 1 1 0 1 0 1 0 2 1 2
end
Thank you