Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • Top
  • Universities
  • Ranking
To
lat lon distance
To

Field does not validate



Index Link

Index Tree

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

{"_buckets": {"deposit": "3a2052ce-8020-433a-b603-97f1ccc7a9b3"}, "_deposit": {"created_by": 20, "id": "8680", "owner": "20", "owners": [20], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "8680"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00008680"}, "author_link": [], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Study on Women\u0027s Educational Attainment on Myaungmya Didtrict", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Women‟s educational attainment of Myaungmya District is studied with the 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."}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2023-01-12"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Shun Lei Wutyi Aung, MPS-II-1.pdf", "filesize": [{"value": "1.1 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 1100000.0, "url": {"url": "https://meral.edu.mm/record/8680/files/Shun Lei Wutyi Aung, MPS-II-1.pdf"}, "version_id": "d0a09588-c548-4ffc-9b72-f230bd2162f6"}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "Yangon University of Economics", "subitem_supervisor(s)": [{"subitem_supervisor": "Dr. Aye Thida"}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Shun Lei Wutyi Aung"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Other"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Thesis"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2021-01-01"}, "item_title": "Study on Women\u0027s Educational Attainment on Myaungmya Didtrict", "item_type_id": "21", "owner": "20", "path": ["1582965763232"], "permalink_uri": "https://meral.edu.mm/records/8680", "pubdate": {"attribute_name": "Deposit date", "attribute_value": "2023-01-12"}, "publish_date": "2023-01-12", "publish_status": "0", "recid": "8680", "relation": {}, "relation_version_is_last": true, "title": ["Study on Women\u0027s Educational Attainment on Myaungmya Didtrict"], "weko_shared_id": -1}
  1. Yangon University of Economics
  2. Master of Applied Statistics (MAS)

Study on Women's Educational Attainment on Myaungmya Didtrict

https://meral.edu.mm/records/8680
https://meral.edu.mm/records/8680
4024a8df-5805-4e8f-bf89-56706f70f4e1
3a2052ce-8020-433a-b603-97f1ccc7a9b3
None
Preview
Name / File License Actions
Shun Shun Lei Wutyi Aung, MPS-II-1.pdf (1.1 MB)
license.icon
Publication type
Thesis
Upload type
Other
Title
Title Study on Women's Educational Attainment on Myaungmya Didtrict
Language en
Publication date 2021-01-01
Authors
Shun Lei Wutyi Aung
Description
Women‟s educational attainment of Myaungmya District is studied with the 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
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2023-01-12 05:37:14.551951
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats
  • JSON

Confirm


Back to MERAL


Back to MERAL