Issues with Education Data in DHS Dataset for Kenya (2022 and 2014) [message #29862] |
Wed, 14 August 2024 09:45 |
n.borgmann
Messages: 10 Registered: August 2024
|
Member |
|
|
Dear DHS Team,
I am reaching out with a question regarding the DHS dataset for Kenya, specifically about the variables V107 (years of schooling) and V106 (education level) for the years 2022 and 2014.
In the 2022 dataset, there seem to be only a very small number of individuals with more than 8 years of schooling--just 7 individuals. Considering that Kenya's education system typically includes both primary and secondary schooling, which should exceed 8 years, I am puzzled by this finding.
I have seen discussions in the forum suggesting that there were issues with this variable in previous datasets and that the revised dataset will be released by the end of this week. However, the dataset for 2014 was referenced as being accurate. Upon reviewing the 2014 data, I found that the maximum value for years of schooling is also 8 years. This seems inconsistent with the data for variable V106, where many individuals fall into the third category, which is supposed to be higher than secondary education.
Could you please provide an explanation for these results? Is there a specific reason for this discrepancy, or could the data potentially be incorrect? Understanding this would be crucial for my work.
Thank you very much for your time and assistance. I greatly appreciate your help.
Best regards,
Nils
[Updated on: Wed, 14 August 2024 09:45] Report message to a moderator
|
|
|
|
|
|
|
Re: Issues with Education Data in DHS Dataset for Kenya (2022 and 2014) [message #30603 is a reply to message #30594] |
Mon, 06 January 2025 09:45 |
Bridgette-DHS
Messages: 3229 Registered: February 2013
|
Senior Member |
|
|
Following is a response from Senior DHS staff member, Tom Pullum:
This is a very interesting observation, but before trying to understand it, I first need to know how you got the estimates of the medians.
Did you use hv108 in the PR file? If so, did you have lower or upper cutoff ages? Tables 2.13.1-2 in the final report on the 2014 survey, for example, include ages 6+, with no upper age cutoff. Or did you use v133 in the IR file, which would apply to age 15-49 (for women) and mv133 in the MR file, which would apply to age 15-54 (for men)? Did you modify the upper age limit for men to match that of women?
I can suggest a strategy to understand this pattern, which I agree is unexpected, if you will clarify how you got the numbers.
[Updated on: Mon, 06 January 2025 09:46] Report message to a moderator
|
|
|
|