Multivariate Analysis Approach on the Study of Quality of Life: A Case Study in Some Towns of Amhara Regional State, Ethiopia

Genanew Timerga Neri; Nigatu Degu Terye; Haymanot Zeleke Tadesse; Woldesadik Kagnew Abebaw; Tena Manaye Endalamaw

doi:doi:10.11648/j.ajtas.20150406.31

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Multivariate Analysis Approach on the Study of Quality of Life: A Case Study in Some Towns of Amhara Regional State, Ethiopia

Genanew Timerga Neri, Nigatu Degu Terye, Haymanot Zeleke Tadesse, Woldesadik Kagnew Abebaw, Tena Manaye Endalamaw

Published in American Journal of Theoretical and Applied Statistics (Volume 4, Issue 6)

Received: 28 October 2015 Accepted: 9 November 2015 Published: 8 December 2015

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Abstract

Quality of life (QOL) is gaining interest from a variety of disciplines and important tool for policy evaluation, rating of cities, urban planning and management. Cities are the center of economy, politics, commerce and other activities, so very necessary to analyze the conditions that contribute to the quality of urban life. This study identifies the factors that affect QOL of the people in the region. 809 household heads were selected based on stratified random sampling method. Different statistical methods have been used to analyze the primary data. Factor analysis is used to reduce the number of dimensions of both subjective and objective quality of life into few, which are unrelated to each other. Binary logistic regressions and ordinal logistic regressions are also applied to identify the most significant factors that can affect quality of life in the region. The principal component analysis revealed that 6 dimensions of QOL were extracted from 20 subjective attributes; namely; housing, economic, environmental, neighborhood safety and security, social connectedness and quality of public service. Binary logistic regression model shows all of the dimensions are significantly related to QOL. Factor analysis extract 6 factors using 15 objective attributes, namely; socio-economic, access to public service, access to education, housing, religion and length of residency are found to significant predictor of QOL in objective dimensions of the region. Religion and length of residence have positive impact and other have negative contribution to QOL. Results of this study can be used in designing future urban QOL studies in the region.

Published in	American Journal of Theoretical and Applied Statistics (Volume 4, Issue 6)
DOI	10.11648/j.ajtas.20150406.31
Page(s)	587-601
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Subjective, Objective, Ordinal Regression, QOL, Factor Analysis

References

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Genanew Timerga Neri, Nigatu Degu Terye, Haymanot Zeleke Tadesse, Woldesadik Kagnew Abebaw, Tena Manaye Endalamaw. (2015). Multivariate Analysis Approach on the Study of Quality of Life: A Case Study in Some Towns of Amhara Regional State, Ethiopia. American Journal of Theoretical and Applied Statistics, 4(6), 587-601. https://doi.org/10.11648/j.ajtas.20150406.31

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Genanew Timerga Neri; Nigatu Degu Terye; Haymanot Zeleke Tadesse; Woldesadik Kagnew Abebaw; Tena Manaye Endalamaw. Multivariate Analysis Approach on the Study of Quality of Life: A Case Study in Some Towns of Amhara Regional State, Ethiopia. Am. J. Theor. Appl. Stat. 2015, 4(6), 587-601. doi: 10.11648/j.ajtas.20150406.31

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AMA Style

Genanew Timerga Neri, Nigatu Degu Terye, Haymanot Zeleke Tadesse, Woldesadik Kagnew Abebaw, Tena Manaye Endalamaw. Multivariate Analysis Approach on the Study of Quality of Life: A Case Study in Some Towns of Amhara Regional State, Ethiopia. Am J Theor Appl Stat. 2015;4(6):587-601. doi: 10.11648/j.ajtas.20150406.31

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@article{10.11648/j.ajtas.20150406.31,
  author = {Genanew Timerga Neri and Nigatu Degu Terye and Haymanot Zeleke Tadesse and Woldesadik Kagnew Abebaw and Tena Manaye Endalamaw},
  title = {Multivariate Analysis Approach on the Study of Quality of Life: A Case Study in Some Towns of Amhara Regional State, Ethiopia},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {4},
  number = {6},
  pages = {587-601},
  doi = {10.11648/j.ajtas.20150406.31},
  url = {https://doi.org/10.11648/j.ajtas.20150406.31},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20150406.31},
  abstract = {Quality of life (QOL) is gaining interest from a variety of disciplines and important tool for policy evaluation, rating of cities, urban planning and management. Cities are the center of economy, politics, commerce and other activities, so very necessary to analyze the conditions that contribute to the quality of urban life. This study identifies the factors that affect QOL of the people in the region. 809 household heads were selected based on stratified random sampling method. Different statistical methods have been used to analyze the primary data. Factor analysis is used to reduce the number of dimensions of both subjective and objective quality of life into few, which are unrelated to each other. Binary logistic regressions and ordinal logistic regressions are also applied to identify the most significant factors that can affect quality of life in the region. The principal component analysis revealed that 6 dimensions of QOL were extracted from 20 subjective attributes; namely; housing, economic, environmental, neighborhood safety and security, social connectedness and quality of public service. Binary logistic regression model shows all of the dimensions are significantly related to QOL. Factor analysis extract 6 factors using 15 objective attributes, namely; socio-economic, access to public service, access to education, housing, religion and length of residency are found to significant predictor of QOL in objective dimensions of the region. Religion and length of residence have positive impact and other have negative contribution to QOL. Results of this study can be used in designing future urban QOL studies in the region.},
 year = {2015}
}

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TY - JOUR
T1 - Multivariate Analysis Approach on the Study of Quality of Life: A Case Study in Some Towns of Amhara Regional State, Ethiopia
AU - Genanew Timerga Neri
AU - Nigatu Degu Terye
AU - Haymanot Zeleke Tadesse
AU - Woldesadik Kagnew Abebaw
AU - Tena Manaye Endalamaw
Y1 - 2015/12/08
PY - 2015
N1 - https://doi.org/10.11648/j.ajtas.20150406.31
DO - 10.11648/j.ajtas.20150406.31
T2 - American Journal of Theoretical and Applied Statistics
JF - American Journal of Theoretical and Applied Statistics
JO - American Journal of Theoretical and Applied Statistics
SP - 587
EP - 601
PB - Science Publishing Group
SN - 2326-9006
UR - https://doi.org/10.11648/j.ajtas.20150406.31
AB - Quality of life (QOL) is gaining interest from a variety of disciplines and important tool for policy evaluation, rating of cities, urban planning and management. Cities are the center of economy, politics, commerce and other activities, so very necessary to analyze the conditions that contribute to the quality of urban life. This study identifies the factors that affect QOL of the people in the region. 809 household heads were selected based on stratified random sampling method. Different statistical methods have been used to analyze the primary data. Factor analysis is used to reduce the number of dimensions of both subjective and objective quality of life into few, which are unrelated to each other. Binary logistic regressions and ordinal logistic regressions are also applied to identify the most significant factors that can affect quality of life in the region. The principal component analysis revealed that 6 dimensions of QOL were extracted from 20 subjective attributes; namely; housing, economic, environmental, neighborhood safety and security, social connectedness and quality of public service. Binary logistic regression model shows all of the dimensions are significantly related to QOL. Factor analysis extract 6 factors using 15 objective attributes, namely; socio-economic, access to public service, access to education, housing, religion and length of residency are found to significant predictor of QOL in objective dimensions of the region. Religion and length of residence have positive impact and other have negative contribution to QOL. Results of this study can be used in designing future urban QOL studies in the region.
VL - 4
IS - 6
ER -

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Author Information

Genanew Timerga Neri

Department of Statistics, Debre Birhane University, Debre Birhane, Ethiopia
Nigatu Degu Terye

Department of Statistics, Hawassa University, Hawassa, Ethiopia
Haymanot Zeleke Tadesse

Department of Statistics, Debre Birhane University, Debre Birhane, Ethiopia
Woldesadik Kagnew Abebaw

Department of Marketing Managment, Debre Birhane University, Debre Birhane, Ethiopia
Tena Manaye Endalamaw

Department of Statistics, Debre Birhane University, Debre Birhane, Ethiopia

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Genanew Timerga Neri, Nigatu Degu Terye, Haymanot Zeleke Tadesse, Woldesadik Kagnew Abebaw, Tena Manaye Endalamaw. (2015). Multivariate Analysis Approach on the Study of Quality of Life: A Case Study in Some Towns of Amhara Regional State, Ethiopia. American Journal of Theoretical and Applied Statistics, 4(6), 587-601. https://doi.org/10.11648/j.ajtas.20150406.31

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Genanew Timerga Neri; Nigatu Degu Terye; Haymanot Zeleke Tadesse; Woldesadik Kagnew Abebaw; Tena Manaye Endalamaw. Multivariate Analysis Approach on the Study of Quality of Life: A Case Study in Some Towns of Amhara Regional State, Ethiopia. Am. J. Theor. Appl. Stat. 2015, 4(6), 587-601. doi: 10.11648/j.ajtas.20150406.31

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AMA Style

Genanew Timerga Neri, Nigatu Degu Terye, Haymanot Zeleke Tadesse, Woldesadik Kagnew Abebaw, Tena Manaye Endalamaw. Multivariate Analysis Approach on the Study of Quality of Life: A Case Study in Some Towns of Amhara Regional State, Ethiopia. Am J Theor Appl Stat. 2015;4(6):587-601. doi: 10.11648/j.ajtas.20150406.31

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@article{10.11648/j.ajtas.20150406.31,
  author = {Genanew Timerga Neri and Nigatu Degu Terye and Haymanot Zeleke Tadesse and Woldesadik Kagnew Abebaw and Tena Manaye Endalamaw},
  title = {Multivariate Analysis Approach on the Study of Quality of Life: A Case Study in Some Towns of Amhara Regional State, Ethiopia},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {4},
  number = {6},
  pages = {587-601},
  doi = {10.11648/j.ajtas.20150406.31},
  url = {https://doi.org/10.11648/j.ajtas.20150406.31},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20150406.31},
  abstract = {Quality of life (QOL) is gaining interest from a variety of disciplines and important tool for policy evaluation, rating of cities, urban planning and management. Cities are the center of economy, politics, commerce and other activities, so very necessary to analyze the conditions that contribute to the quality of urban life. This study identifies the factors that affect QOL of the people in the region. 809 household heads were selected based on stratified random sampling method. Different statistical methods have been used to analyze the primary data. Factor analysis is used to reduce the number of dimensions of both subjective and objective quality of life into few, which are unrelated to each other. Binary logistic regressions and ordinal logistic regressions are also applied to identify the most significant factors that can affect quality of life in the region. The principal component analysis revealed that 6 dimensions of QOL were extracted from 20 subjective attributes; namely; housing, economic, environmental, neighborhood safety and security, social connectedness and quality of public service. Binary logistic regression model shows all of the dimensions are significantly related to QOL. Factor analysis extract 6 factors using 15 objective attributes, namely; socio-economic, access to public service, access to education, housing, religion and length of residency are found to significant predictor of QOL in objective dimensions of the region. Religion and length of residence have positive impact and other have negative contribution to QOL. Results of this study can be used in designing future urban QOL studies in the region.},
 year = {2015}
}

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