The purpose of this paper is to identify, confirm and validate a model appropriate to capture the interrelationships between different variables to develop and improve…
The purpose of this paper is to identify, confirm and validate a model appropriate to capture the interrelationships between different variables to develop and improve social housing quality, adequacy, provision and residents’ quality of life (RQOL).
This research adopted a quantitative approach to examine the research objectives of this study. The proposed conceptual framework was tested using primary data collected from a survey of 418 residents of the new urban center of Hamla. The data were analyzed using descriptive analysis and exploratory factor analysis through SPSS. In addition, confirmatory factor analysis was performed using AMOS before validating the measurement model and testing the hypotheses through structural equation modeling (SEM).
The results of SEM indicated acceptable high goodness-of-fit indices. The results revealed that three out of six hypotheses were supported. Consequently, residential quality and housing adequacy appeared to have a vital role in the conceptual framework, as it influenced social housing provision and RQOL and was influenced by socio-economic characteristics.
The present study illustrates the interrelationships between the proposed variables using SEM analysis. In addition, by understanding the direct relationships between the selected variables, the findings would be useful for the concerned authorities to ameliorate and upgrade the social housing quality and adequacy along with surpassing the current shortage, which would enhance and contribute to the amelioration of the RQOL and throughout Algeria.
This paper aims to establish, examine, validate the relationships and develop a conceptual framework in the context of Algerian social housing that contributes to the assessment and amelioration of social housing.