Measuring housing satisfaction through the use of structural equation modelling

Abstract: Structural Equation Modelling (SEM) is a technique that effectively incorporates a whole range of standard multivariate analysis methods, including regression, factor analysis and analysis of variance. SEM underlies much of what sustainable human settlement (SHS) researchers do on a daily basis. SEM provides an opportunity to hypothesise models of human behaviour, and to test or confirm these models statistically. This article present how SEM can/ was used to study and to understand issues encircling SHS issues with a specific emphasis on housing satisfaction in South Africa low-income housing. Secondary research materials within and outside the field of the built environment were reviewed and in relation to the study objective. With the use of content analysis, the reviewed data were classified to meet the research objective. The researcher found that SEM using EQation modeling software (EQS) was the most appropriate technique for sustainable human settlement research studies. Because of the numerous benefits and advantages of the analysis produced by SEM through the EQS platform, such as the model estimation, and model fit attributes amongst others. The study further recommended the use of the process because of the Satorra-Bentler scaled statistics (S – Bχ2), use of appropriate cut-off values for the generated model analysis / fit Indices for various required goodness-of-fit tests of SEM model as applicable