|Re-message18741 [message #18792]
||Fri, 21 February 2020 09:28
Registered: June 2016
Location: Addis Ababa, Ethiopia
Dear DHS data experts, |
I am using KR file to replicate Table 11.3 page 205 in the Ethiopian DHS 2016 final report. As exclusive breastfeeding (EBF) and Non-Exclusive BF report on the final 2016 Ethiopian DHS.
I have re-categorized:
M4 variable (Duration of breastfeeding) into '95' still breastfeeding (CBF) as '1' and all other as Not still BF/ Not-breastfeeding (Non.BF),'0'. Other variables:
Breastfeeding and consuming plain water only (M4+V409), (BFPW)
Breastfeeding and consuming non milk liquids (m4+V410+V412C+V413), (BFNML)
Breastfeeding and consuming other milk (m4+V411), (BFOM)
Breastfeeding and consuming complementary food (m4+m39a), (BFCF)
b5 (child is alive)
b9 (child lives with whom= 0)
b19 (current age of child in months < 24 months)
In this way, I have extracted and found the following results which is not consistent with the above table 11.3.
Please, give me direction where is my failure; at variable extraction process or transforming and computing using SPSS?
Table 11.3 on page 205 final 2016 Ethiopian DHS i found as:
EDHS 1 2 3 4 5 6
Variables Non.BF CBF BFPW BFNML BFOM BFCF Total
0 5 month 50 1042 350 70 108 107 1092
Also, the total is added to 1185 in the report which is different from 1092 I found.
I have also read Guide to DHS 7 statistics and many forums on EBF. But I didn't get about Ethiopian DHS 2016 command to find Exclusive breastfeeding vs. Non-Exclusive BF. The questions was also asked by other users in 2017 but no reliable information given on the forum page at that time.
1. Are the variables identified are correct and the calculation is alright to transform using SPSS software?
2. Would you give me clue, how to extract the variables and make suitable for analysis using SPSS or STATA software's, Please?
I am waiting your keen response as soon as possible, please. As my outcome variable is to look at Exclusive breastfeeding and Non-exclusive braestfeeding mothers using the selected variables from the 2016 Ethiopian DHS.