期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：6
页码：82-89
DOI：10.35629/5252-030624852491
语种：English
出版社：IJAEM JOURNAL
摘要：Confirmatory factor analysis is carried out by determining the number and relationship between indicators and constructs built on theory. The purpose of this study was to determine the indicators that have the greatest contribution to each research variable. The variables in this study are the characteristics of the residential unit, residential environment, public facility services, satisfaction with living and the behavioral tendency of residence adjustment of residents who live in simple housing in Kendari City. Primary data was obtained through a survey using a questionnaire on 220 residents of simple housing spread over seven sub-districts in the city of Kendari. The data were analyzed using the Confirmatory Factor Analysis (CFA) method which was used to confirm the indicators on the latent variables using the AMOS version 24.0 program. The results showed that the characteristic construct of residential units with the largest contribution was the indicator X1.10 (quality of materials for ceilings) of 0.733. Then for the construction of residential environmental characteristics with the variable indicator X2.1 (road condition of the residential environment) provides the largest contribution of 0.672. The characteristic construct of public facility services provides the largest contribution with the X3.3 indicator (access to education/school facility services) of 0.766. The construct of residence satisfaction that gives the largest contribution is the Y1.2 indicator (satisfaction with the residential environment) of 0.901. As well as the behavioral trend of housing adjustment with the Y2.4 indicator (positive speaking) of 0.782. Further research can identify the relationship between the dependent and independent constructs of building satisfaction. The findings are useful for evaluating performance in subsidized simple housing studies, analyzing user satisfaction and formulating policies to achieve satisfaction in living in simple housing.
