The purpose of this study is to develop a measurement model and measure the dimensions of Residential Quality and Housing Adequacy (RQHA), Social Housing Provision (SHP…
The purpose of this study is to develop a measurement model and measure the dimensions of Residential Quality and Housing Adequacy (RQHA), Social Housing Provision (SHP) and Residents’ Quality of Life (RQOL) by social housing residents in Batna city, Algeria.
This study used a quantitative approach through the distribution of a self-administered questionnaire. A total of 373 useable questionnaires were collected from social housing residents in Batna city and used for the analysis. The data were analysed using descriptive statistics, exploratory factor analysis with principal component analysis through SPSS and confirmatory factor analysis using AMOS.
The measurement model revealed good fit of indices indicating that RQHA is presented by three sub-constructs, namely satisfaction with housing adequacy, satisfaction with current neighbourhood and satisfaction with housing design. In addition, the constructs of SHP and RQOL were measured by seven items each. The measurement model provides empirical evidence of the correlation between RQHA, SHP and RQOL constructs.
The findings of this study contribute significantly to government, housing stakeholders, architects, project managers and urban planners in the context of social housing policymakers, design, planning and construction. The finding would be helpful to ameliorate housing quality, adequacy, provision and RQOL in terms of social housing scheme.
This study identifies the correlation between constructs (RQHA, SHP and RQOL) and their dimensions in the context of social housing in Batna city by validating a measurement model using CFA.
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.