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Data survey on the factors affecting students’ satisfaction and academic performance among private universities in Vietnam

This paper presents the dataset that estimate the effect of factors on students’ satisfaction and their academic performance. The questionnaire with a five-Likert scale ware adapted and developed from prior researches. The sample consisted of 430 fulfilled respondents using stratified random samplin...

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Detalles Bibliográficos
Autores principales: Van, Tien Dinh, Thi, Kim Chi Nguyen, Thi, Hong Phuong Tran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567913/
https://www.ncbi.nlm.nih.gov/pubmed/33088872
http://dx.doi.org/10.1016/j.dib.2020.106357
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author Van, Tien Dinh
Thi, Kim Chi Nguyen
Thi, Hong Phuong Tran
author_facet Van, Tien Dinh
Thi, Kim Chi Nguyen
Thi, Hong Phuong Tran
author_sort Van, Tien Dinh
collection PubMed
description This paper presents the dataset that estimate the effect of factors on students’ satisfaction and their academic performance. The questionnaire with a five-Likert scale ware adapted and developed from prior researches. The sample consisted of 430 fulfilled respondents using stratified random sampling, which recruited from eight private universities in the North of Vietnam. A quantitative method was employed to examine the data. Cronbach's Alpha, Exploratory Factor Analysis, Confirmatory Factor Analysis were utilized to test the reliability and validity of each variable as well as the model fit. Then, the structural equation modeling was used to estimate path coefficients, which can serve as a good reference for further researches.
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spelling pubmed-75679132020-10-20 Data survey on the factors affecting students’ satisfaction and academic performance among private universities in Vietnam Van, Tien Dinh Thi, Kim Chi Nguyen Thi, Hong Phuong Tran Data Brief Data Article This paper presents the dataset that estimate the effect of factors on students’ satisfaction and their academic performance. The questionnaire with a five-Likert scale ware adapted and developed from prior researches. The sample consisted of 430 fulfilled respondents using stratified random sampling, which recruited from eight private universities in the North of Vietnam. A quantitative method was employed to examine the data. Cronbach's Alpha, Exploratory Factor Analysis, Confirmatory Factor Analysis were utilized to test the reliability and validity of each variable as well as the model fit. Then, the structural equation modeling was used to estimate path coefficients, which can serve as a good reference for further researches. Elsevier 2020-10-06 /pmc/articles/PMC7567913/ /pubmed/33088872 http://dx.doi.org/10.1016/j.dib.2020.106357 Text en © 2020 The Authors 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
Van, Tien Dinh
Thi, Kim Chi Nguyen
Thi, Hong Phuong Tran
Data survey on the factors affecting students’ satisfaction and academic performance among private universities in Vietnam
title Data survey on the factors affecting students’ satisfaction and academic performance among private universities in Vietnam
title_full Data survey on the factors affecting students’ satisfaction and academic performance among private universities in Vietnam
title_fullStr Data survey on the factors affecting students’ satisfaction and academic performance among private universities in Vietnam
title_full_unstemmed Data survey on the factors affecting students’ satisfaction and academic performance among private universities in Vietnam
title_short Data survey on the factors affecting students’ satisfaction and academic performance among private universities in Vietnam
title_sort data survey on the factors affecting students’ satisfaction and academic performance among private universities in vietnam
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567913/
https://www.ncbi.nlm.nih.gov/pubmed/33088872
http://dx.doi.org/10.1016/j.dib.2020.106357
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