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Item

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Study on Women's Educational at Tainment of Myaungmya District (Shun Lei Wutyi Aung, 2021)

https://meral.edu.mm/records/8164
f8e29e96-7220-48a2-a6d0-b74087c4fcc6
46056fe6-6a4b-49d5-ad76-f7409c9aec22
None
Name / File License Actions
Shun Shun Lei Wutyi Aung, MPS 1.pdf (1.1 MB)
Publication type
Thesis
Upload type
Other
Title
Title Study on Women's Educational at Tainment of Myaungmya District (Shun Lei Wutyi Aung, 2021)
Language en
Publication date 2021-01-01
Authors
Shun Lei Wutyi Aung
Description
aims to describe women‟s educational attainment and socioeconomic characteristics
and to explore the determinants of women‟s educational attainment in Myaungmya
District. The secondary data from the 2014 Myanmar Population and Housing Census
is used in this study. Women aged 25 and over are only considered in analyzing
women‟s educational attainment of Myaungmya District. In this study, principal
component analysis was used to construct wealth index and multinomial logistic
regression was used to explore the determinants of women‟s educational attainment.
Based on the results, the number of women who have never attended, those women
who are completed primary and middle schools are higher than those who have been
completed high school, undergraduate and graduate levels. Firstly, in comparing
primary school versus no schooling, single, age groups (25-44) and (45-64), and four
quintiles of wealth index (richest, richer, middle and poorer) are statistically
significant. And hence, in comparing middle school versus no schooling, single,
urban, age groups (25-44) and (45-64), and four quintiles of wealth index (richest,
richer, middle and poorer) are statistically significant. In comparing high school
versus no schooling, single, urban, age groups (25-44) and (45-64), and four quintiles
of wealth index (richest, richer, middle and poorer) are statistically significant.
Additionally, in comparing undergraduate versus no schooling, urban, age groups (25-
44) and (45-64), and four quintiles of wealth index (richest, richer, middle and poorer)
are statistically significant. Lastly, in comparing graduate versus no schooling, single,
urban, age groups (25-44) and (45-64), and four quintiles of wealth index (richest,
richer, middle and poorer) are statistically significant.
Thesis/dissertations
Yangon University of Economics
Dr. Aye Thida
0
0
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