Infertility as a composite variable [message #22773] |
Wed, 05 May 2021 13:55 |
Bilen Araya
Messages: 3 Registered: May 2021
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Hi All,
This is my first time using DHS dataset. I want to estimate the prevalence of infertility using the 2016 Ethiopian DHS data (EDHS 2016). There is no direct indicator for infertility and for that I would need to calculate it as a composite variable using binary logistic regression by SPSS. One of the variables I want to use is live birth (they can be dead at the time of the interview) which I couldn't find in the dataset. There are variables for ever born, living children, age at death and terminated pregnancy among others. Other articles have used live birth from DHS datasets. Thus, I am reaching out for how I can re-calculate live birth from the dataset.
Also, which variable should I use to weigh the dataset and with what formula?
Thank you very much!
Regards,
Bilen
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Re: Infertility as a composite variable [message #22787 is a reply to message #22785] |
Mon, 10 May 2021 14:33 |
Bilen Araya
Messages: 3 Registered: May 2021
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That is a great insight for me.
My confusion came from how the variables were defined in the recode manual. The variables V201, V208 do not mention whether the children were alive or dead at the time of birth. But now from your explanation, I understand that it is talking about live birth and I don't need to calculate it separately. I am also realizing that I can get pregnancy terminations for the past five years.
I will be using SPSS 27 for analysis. I am also considering using SPSS for data extraction and cleaning, and STATA for analysis.
Thank you very much for your assistance!
Regards,
Bilen
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