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Data-set of academic difficulties among students in western Uganda during COVID-19 induced lockdown

This academic research explicit the data-set of academic difficulties among different age groups of students studying in various schools, colleges or Universities during the COVID-19 induced lockdown. The western part of Uganda comprises 26 districts and the survey was conducted in those regions emp...

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Detalles Bibliográficos
Autores principales: Meji M, Abisha, Dennison, Milon Selvam, Mustafa, Muhamad Mundu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892804/
https://www.ncbi.nlm.nih.gov/pubmed/33659598
http://dx.doi.org/10.1016/j.dib.2021.106851
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author Meji M, Abisha
Dennison, Milon Selvam
Mustafa, Muhamad Mundu
author_facet Meji M, Abisha
Dennison, Milon Selvam
Mustafa, Muhamad Mundu
author_sort Meji M, Abisha
collection PubMed
description This academic research explicit the data-set of academic difficulties among different age groups of students studying in various schools, colleges or Universities during the COVID-19 induced lockdown. The western part of Uganda comprises 26 districts and the survey was conducted in those regions employing a simple random sampling technique. The dataset is descriptive and an aggregate of 405 students participated in this survey. Among that, 253 students are from rural regions, 59 students are from semi-urban regions and 93 students are from urban regions. This survey was started in April 2020 and data were collected till June 2020. A statistical run was made with the aid of SPSS version 20 software to evaluate the significance level (P-Value<0.05) of each question among the localities.
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spelling pubmed-78928042021-03-02 Data-set of academic difficulties among students in western Uganda during COVID-19 induced lockdown Meji M, Abisha Dennison, Milon Selvam Mustafa, Muhamad Mundu Data Brief Data Article This academic research explicit the data-set of academic difficulties among different age groups of students studying in various schools, colleges or Universities during the COVID-19 induced lockdown. The western part of Uganda comprises 26 districts and the survey was conducted in those regions employing a simple random sampling technique. The dataset is descriptive and an aggregate of 405 students participated in this survey. Among that, 253 students are from rural regions, 59 students are from semi-urban regions and 93 students are from urban regions. This survey was started in April 2020 and data were collected till June 2020. A statistical run was made with the aid of SPSS version 20 software to evaluate the significance level (P-Value<0.05) of each question among the localities. Elsevier 2021-02-06 /pmc/articles/PMC7892804/ /pubmed/33659598 http://dx.doi.org/10.1016/j.dib.2021.106851 Text en © 2021 The Authors. Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Meji M, Abisha
Dennison, Milon Selvam
Mustafa, Muhamad Mundu
Data-set of academic difficulties among students in western Uganda during COVID-19 induced lockdown
title Data-set of academic difficulties among students in western Uganda during COVID-19 induced lockdown
title_full Data-set of academic difficulties among students in western Uganda during COVID-19 induced lockdown
title_fullStr Data-set of academic difficulties among students in western Uganda during COVID-19 induced lockdown
title_full_unstemmed Data-set of academic difficulties among students in western Uganda during COVID-19 induced lockdown
title_short Data-set of academic difficulties among students in western Uganda during COVID-19 induced lockdown
title_sort data-set of academic difficulties among students in western uganda during covid-19 induced lockdown
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892804/
https://www.ncbi.nlm.nih.gov/pubmed/33659598
http://dx.doi.org/10.1016/j.dib.2021.106851
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