Investigating the application of CFA in the liveability assessment of public low-income housing in Nigeria
Studies on the liveability of Nations/Cities or neighbourhoods have been on the increase due to their perceived aftermath significant contributions to the quality of life. In this study, the liveability dimensions and attributes were developed based on the previous studies and experts opinions to...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Kulliyyah of Architecture, International Islamic University Malaysia
2015
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Subjects: | |
Online Access: | http://irep.iium.edu.my/46574/ http://irep.iium.edu.my/46574/ http://irep.iium.edu.my/46574/1/Paper5-1-1.pdf |
Summary: | Studies on the liveability of Nations/Cities or neighbourhoods have been on the increase due to their
perceived aftermath significant contributions to the quality of life. In this study, the liveability dimensions
and attributes were developed based on the previous studies and experts opinions to assess the level of living
conditions in the public low-income housing estates in Minna, Niger State, Nigeria. The focus of this paper
is to explore the liveability dimensions and attributes reliability and to validates its usefulness in determining
the liveability of the selected housing estates. It is presumed that not all identified liveability dimensions and
attributes variables in the extant literature will be effective in measuring liveability in a cultural context like
Nigeria. The data used for this study came from survey questionnaire administered to the residents of the
selected three housing estates. Prior to the confirmator factor analysis (CFA), the Cronbach’s Alpha result
obtained supported four-factor constructs. The variance explained as obtained from exploratory factor
analysis (EFA) was good (67%). The CFA conducted led to the construction of an 18 items measurement.
This paper contributed to the empirical study of liveability of housing/residential estates in terms of
establishing the reliability and validity of the measurement constructs. Hence, it suggests that CFA analysis
even with four-factor constructs can be used in future researches. |
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