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Topic: MULTILEVEL MODELING USING DHS SURVEYS: APPROXIMATE LEVEL-WEIGHTS for Kenya DHS Surveys

Re: MULTILEVEL MODELING USING DHS SURVEYS: APPROXIMATE LEVEL-WEIGHTS for Kenya DHS Surveys [message #29124 is a reply to message #29116]

Fri, 26 April 2024 07:02

Bridgette-DHS
Messages: 3042
Registered: February 2013

Senior Member

Following is a response from Senior DHS Staff member, Tom Pullum:

Unfortunately, we cannot provide much assistance with this topic. I recommend that you first identify the specific appendix tables in the Zimbabwe final report that were used in MR27. The Kenya 2022 survey was a DHS-8 survey and followed a slightly different tabulation plan, but I hope you can find the appendix tables in the Kenya report that correspond with the tables in the Zimbabwe report. I haven't checked, but the table titles should be very similar even if the table numbers have changed.

Ideally, DHS would routinely calculate the level weights when each survey is completed, and make them available in a small cluster-level file. We have recommended this, but without success. If other users have calculated the level-weights for other surveys, perhaps they could let us know and share them on the forum?

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Forum: Kenya

Topic: KDHS 2014: Table 2.14 School attendance ratios

Re: KDHS 2014: Table 2.14 School attendance ratios [message #29125 is a reply to message #29118]

Fri, 26 April 2024 07:22

Bridgette-DHS
Messages: 3042
Registered: February 2013

Senior Member

Following is a response from Senior DHS staff member, Tom Pullum:

Hope you can wait a little longer (a month?) and then check back, if nothing has changed. We have been waiting for approval from Kenya before issuing those changes. It is entirely possible that you are correct.

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Forum: India

Topic: BMI in PR vs IR File

BMI in PR vs IR File [message #29126]

Fri, 26 April 2024 09:34

AkhilK28
Messages: 11
Registered: February 2022

Member

Hello!

When calculating BMI in the PR vs. IR file for NFHS-5, the PR file has more observations for women aged 15-49 years old.

In the PR file, I am using ha variables to correspond to the biomarker questionnaire -- see the code below:

keep if inrange(ha1,15,49)
keep if inrange(ha40,1200,6000)

Observations with valid BMI Values for 15-49 year old women in PR file: 709,252

In IR file, I am using v445:

keep if inrange(v445,1200,6000)

Observations with valid BMI Values for 15-49 year old women in IR file: 699,362

Can someone at DHS let me know why this difference exists?

What is official guidance? Stay to biomarker in PR? But why a difference of ~10,000?

[Updated on: Fri, 26 April 2024 09:35]

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Topic: Men's BMI eligibility in NFHS5 PR File

Men's BMI eligibility in NFHS5 PR File [message #29127]

Fri, 26 April 2024 10:24

mks9812
Messages: 8
Registered: June 2023

Member

Hello,

I have a question regarding the variable hv118 "member eligible for men's interview" regarding BMI data in the PR file.

Here is the STATA code I used to get the below table

gen age_inc_m=1 if inrange(hb1,20,54)
gen bmi_inc_m=1 if inrange(hb40,1200,6000)
gen inc=1 if bmi_inc_m==1&age_inc_m==1

tab hv118 inc

| member eligible for
| men's interview
inc | not eligi eligible | Total
-----------+----------------------+----------
1 | 1,765 57,170 | 58,935
-----------+----------------------+----------
Total | 1,765 57,170 | 58,935

What is the 1,765 people who were "not eligible" but have their height, weight, and BMI data?
Is it safe to include these people for BMI data analysis?

Thank you for your help.

Best,

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Current Time: Fri Apr 26 10:52:08 Coordinated Universal Time 2024