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
Volume 4, Issue 6, November 2015, Pages: 587-601
Received: Oct. 28, 2015; Accepted: Nov. 9, 2015; Published: Dec. 8, 2015
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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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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.
Subjective, Objective, Ordinal Regression, QOL, Factor Analysis
To cite this article
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, American Journal of Theoretical and Applied Statistics. Vol. 4, No. 6, 2015, pp. 587-601. doi: 10.11648/j.ajtas.20150406.31
Copyright © 2015 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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