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Forum: Child Health
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Topic: anemia prevalence
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| anemia prevalence [message #18502] |
Tue, 10 December 2019 14:52 |
zelalem
Messages: 7
Registered: November 2019
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Member |
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Dear all
l am analysing Ethiopian DHS 2016 PR&KR 71FL data sets after merging. My question is that after merging data sets to determine the prevalence of anemia and associated factors on children aged 6-59 months, the figure on children matches with the report, but when l am analysing maternal factors the figure has significant difference with that of the child's count. ls it normal? l am thinking of as it is missing data. ls it necessarily should balance with that of child's figure? one thing that l have read is that on guide to DHS statistics manual, lt says that children whose mothers are not listed in the household questionnaire are excluded. l am understanding it as the count for children involved for anemia testing should match with their corresponding mothers count. so if this is the case can l get answers from any one here in the forum. lf it is not the case & there is no need to match the child's count with their mothers count, l am waiting for your favorable reply.
Thank you!
[Updated on: Tue, 10 December 2019 14:56] Report message to a moderator |
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Topic: The number of children under five is different between the DHS report and the data file
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| The number of children under five is different between the DHS report and the data file [message #18500] |
Tue, 10 December 2019 02:08 |
shirleysnowli
Messages: 1
Registered: December 2019
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Hello all,
I am working with Nepal DHS 2006, 2011, 2011 about children's diarrhea.However,I found out that in the DHS report, for example, in 2016 NDHS report,in the table 10.8 Prevalence and treatment of diarrhea,the number of children was 4887,but in the data file npkr7hdt the number of cases was 5038.
Even if no response cases are excluded in h11(had diarrhea recently), the number is not consistent with the report.
The same condition also happened in the 2006and 2011 NDHS.
Any help?
Thank you !
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Forum: Ethiopia
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Topic: Cesarean section trends and associated factors
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Topic: Cesarean section trends and associated factors
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Forum: Other countries
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Topic: A very important inquiry regarding the prevalence of premarital sex
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| A very important inquiry regarding the prevalence of premarital sex [message #18497] |
Mon, 09 December 2019 13:02 |
Kaluzan
Messages: 1
Registered: December 2019
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Member |
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Hello,
The data available through the DHS surveys is extremely valuable, due to being it nationally representative and being processed through rigorous sampling methods. It is also very diverse and offers a great deal information about countless countries.
It is certainly very strange that many analyses have been done and statistics of various sorts been provided using this data but almost none, or very few, have made an attempt to estimate the proportion of women and men engaging in sexual intercourse prior to marriage for most countries that were surveyed. This is done only for specific cases. I was not able to find a source anywhere which would help me in this matter.
I am not tech-savvy and not able to access the data and if accessed, not aware how to exploit it in a manner that would assist me in my purpose.
Due to this, I would appreciate it extremely if you could help me. I want to know the exact percentages of women and men that have engaged in intercourse before marriage in the overall population for India 2015-16, Cambodia 2010, Myanmar 2015, Afghanistan 2015, Pakistan 2017-18, Armenia 2005, Nepal 2006, Moldova 2005, Ukraine 2007 and Bangladesh 2007.
I will wait eagerly for your reply.
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Forum: General
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Topic: Sample size formula DHS survey
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| Sample size formula DHS survey [message #18493] |
Mon, 09 December 2019 03:04 |
arjumand
Messages: 1
Registered: December 2019
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I read the sampling manual of DHS ,september 2012. The sample size formula given is deft^2*(1/p-1)/a^2 (without adjustment of response rate)
While usually for cross-sectional surveys we used simple asymptotic formula deft*1.96^2 *p*(1-p)/a^2 . Can you please explain the difference in the two.
Moreover , The sample size calculation formula for MICS survey use relative margin or error (o.15(p))^2 or (o.12(p))^2 . Why is it important to use relative margin or error instead of absolute margin of error?
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Topic: Length of time knows last partner v768a missing for spouse
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| Length of time knows last partner v768a missing for spouse [message #18485] |
Wed, 04 December 2019 13:09 |
millymarston
Messages: 1
Registered: September 2016
Location: London
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I would like the length of time a women knows a partner for all her most recent partners. For surveys with the partnership looks this could be answered with v768a, however it is missing for most spouse and cohabiting partners. For those in their first union I can take this from years since first marriage, v512, but if they are not in their first marriage I cannot use this. When I look at the questionnaire there doesn't seem to be a skip for spouses in v768a but the information is not there in the data files.
Am I missing something?
below is a demonstration with Zimbabwe (v000==ZW5)
Looking at who last sexual partner was by time they have known them, excluding those who are married in their first union. You can see that v768a is missing for spouse and live in partner.
. tab v768a v767a if v767a!=. & v504!=1 ,m
na - |
length of |
time knows |
last | na - relationship with last sex partner
partner | spouse boyfriend casual ac commercia live-in p other | Total
-----------+------------------------------------------------ ------------------+----------
one day | 0 28 4 0 0 1 | 33
102 | 0 8 1 0 0 0 | 9
103 | 0 6 0 0 0 1 | 7
104 | 0 2 0 0 0 0 | 2
105 | 0 2 0 0 0 0 | 2
107 | 0 4 0 0 0 0 | 4
110 | 0 2 0 0 0 0 | 2
one week | 0 22 0 1 0 0 | 23
202 | 0 28 0 0 0 0 | 28
203 | 0 20 1 0 0 2 | 23
204 | 0 22 0 0 0 0 | 22
205 | 0 18 1 0 0 0 | 19
206 | 0 32 1 0 0 0 | 33
207 | 0 3 0 0 0 0 | 3
208 | 0 16 0 0 0 1 | 17
209 | 0 13 0 0 0 0 | 13
210 | 0 10 0 0 0 0 | 10
211 | 0 4 0 0 0 0 | 4
213 | 0 1 0 0 0 0 | 1
220 | 0 1 0 0 0 0 | 1
one month | 0 108 3 0 0 2 | 113
302 | 0 69 0 0 0 1 | 70
303 | 0 43 1 0 0 0 | 44
304 | 0 30 0 0 0 0 | 30
305 | 0 15 0 0 0 0 | 15
306 | 0 5 0 0 0 0 | 5
307 | 0 4 0 0 0 1 | 5
308 | 0 4 0 0 0 0 | 4
309 | 0 3 0 0 0 0 | 3
310 | 0 4 0 0 0 0 | 4
311 | 0 2 0 0 0 0 | 2
312 | 0 1 0 0 0 0 | 1
. | 1,255 9 0 0 42 0 | 1,306
-----------+------------------------------------------------ ------------------+----------
Total | 1,255 539 12 1 42 9 | 1,858
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Forum: Wealth Index
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Topic: Malawi DHS 2000 wealth index calculation
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Forum: Reproductive Health
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Topic: delivery assistance syntax spss, nepal 2016.
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| delivery assistance syntax spss, nepal 2016. [message #18490] |
Fri, 06 December 2019 23:54 |
RAM DHAKAL
Messages: 3
Registered: November 2019
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Member |
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****************************************
may be useful.
Creating delivery assistance variable of dhs nepal 2016 .
1. for health professional.
if (M3A=1 or M3B=1 or m3c=1 or m3d=1 or m3e=1 or m3f=1) deliAss1=1.
recode deliAss1 (1=1) (sysmis=2) into deliAss_1.
fre deliAss_1.
************************************
for TBAS.
if ( M3G=1) deliAss21=1.
if (deliAss_1 = 2) deliAss2= deliAss21.
fre deliAss2.
recode deliAss2 (1=1) (sysmis=2) into deliAss_2.
fre deliAss_2.
***********************************************
for other health professional.
if (deliAss_1=1 or deliAss_2=1) deliAss12=1.
fre deliAss12.
recode deliAss12 (1=1) (sysmis=2) into deliAss_12.
fre deliAss_12.
if (m3h=1 or M3I=1) deliAss31=1.
fre deliAss31.
if (deliAss_12=2) deliAss3= deliAss31.
fre deliAss3.
recode deliAss3 (1=1) (sysmis=2) into deliAss_3.
fre deliAss_3.
*******************************
for no assistance.
if (m3n=1) deliAss4=1.
fre deliAss4.
recode deliAss4 (1=1) (sysmis=2) into deliAss_4.
fre deliAss_4.
*****************************************************
combining all into one.
if (deliAss_1=1) deliAss=1.
if (deliAss_2=1) deliAss=2.
if (deliAss_3=1) deliAss=3.
if (deliAss_4=1) deliAss=4.
val lab deliAss 1 'Health Professionals' 2 'TBAs' 3 'Others' 4 'No'.
var lab deliAss 'Delivery Assistance'.
fre deliAss.
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Forum: Domestic Violence
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Topic: Defining Women Empowerment
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| Defining Women Empowerment [message #18489] |
Fri, 06 December 2019 23:49 |
anikhpg42@gmail.com
Messages: 29
Registered: December 2017
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Member |
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Hi,
I am working on DHS datasets where the data regarding 'Women Empowerment' are available. Here, about 6-7 indistinct variables (topics) are included in 'Women Empowerment' chapter.
I am getting confused, how to define or which variables should be regarded as 'Women Empowerment' as a whole?
I am considering: 1) Respondent's decision making autonomy, 2) Respondent's attitude towards wife beating
3) Ability towards 'negotiating sexual relationship', 4) Women's engagement in cash economy, 5) Women's control over cash earnings, 6) Owner of assets; these 6 variables individually.
Should I add any other variables for defining 'Women Empowerment'?
Or, I have made any fault in defining the term 'Women Empowerment?'
Thanks in advance.
ASIBUL ISLAM ANIK
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