Search published articles


Showing 2 results for Nourtaghani

M. Ramzanpour, A. Nourtaghani,
Volume 28, Issue 1 (6-2018)
Abstract

This study was done with the aim of identifing and prioritizing the supportive housing affordability indicators based on residents` perspective, this aim is practical and our research method is descriptive-analytical. Regarding the nature of the subject and the indicators studied, the current approach to this research is a survey method that first, by analyzing the content of research carried out in different countries, the affordability indicators of supportive housing are extracted and then based on this Indices, a questionnaire was designed. This questionnaire was distributed in the statistical community. The statistical population is residents of Mehr housing in Babolsar. 340 residents were selected by random cluster sampling from the whole (2300 residents). Data was analyzed through exploratory and confirmatory factor analysis. Exploratory Factor Analysis showed a 8-factor measurement model that two factors were eliminated due to their low impact. These factors that determine affordability of supportive housing base on residents` perspective, In order of preference, are: physical comfort, Elderly and disabled people facilitations, Green spaces’ landscape, Intra-housing characteristics, Open spaces efficiency, and social interactions. The regression method was used to investigate the relationship between these factors, which indicates high dependence (0.85) of physical comfort factor (as dependent variable) and Intra-housing characteristics. In future researches, it is necessary to evaluate the measures of supportive housing affordability indicators in different regions of the country.


H. Nasrollah Hoseini, A. Nourtaghani, M. Pazhouhanfar,
Volume 29, Issue 2 (12-2019)
Abstract

The present study is an attempt to find out processual and functional aspects of privacy regulation in a dialectical investigation. For this purpose, 180 samples are selected from among mothers of families in Mashhad, Iran using random sampling. In this study, "meaning structure" method has been applied. Samples participated in Laddering Interview. Analyses are set in Content-Goal Table. Based on this table, the initial questionnaire is designed and implemented after being finalized. 8 factors are obtained by factor analysis. Considering the compression variance, in the intended houses, these factors account for 87 percent of the hidden regulation of meaning structure in the privacy achievement and function processes. In general, we can conclude that these means have proper validity and reliability, and they can be properly used for studying "privacy" in the intended social housing. It is suggested to analyze the relationships among the privacy factors in order to present the regulation model of privacy aspects

Page 1 from 1     

© 2025 CC BY-NC 4.0 | Iran University of Science & Technology

Designed & Developed by : Yektaweb