Search published articles


Showing 2 results for Factor Analysis

H Kamani, M Hoseini, G.h Safari, A.h Mahvi, H Zarei,
Volume 8, Issue 4 (3-2016)
Abstract

Backgrounds and Objectives: Quantity of trace metals in the wet precipitation can illustrate the environmental pollution of different urban areas. Up to now, there is no study regarding the chemistry of wet precipitation in Tehran .The objectives of this study are: measurement of heavy metal concentrations and identification of the main factors affecting the heavy metal concentrations in wet precipitation using factor analysis method.

Materials and Methods: This was a cross-sectional study in which measurements of heavy metals were performed in 53 wet precipitation samples collected from a central site of Tehran City, capital of Iran. The samples were collected during November to May in 2010, 2011 and 2012 on the roof of the student’s dormitory building of Tehran University of Medical Sciences and then the concentration of heavy metals in each sample was measured with ICP-MS.

Results: pH ranged from 4.2 to 7.1 with a mean value of 5.1 indicating in acidic range. Result of EF calculations revealed that samples were not enriched with Fe and Cr but were enriched with Zn, Cd, Ni, Pb and Cu. Factor Component Analysis with Varimax normalized rotation showed Al, Fe and Cr are originated from crustal source and Zn, Cd, Ni, Pb and Cu are originated from anthropogenic sources. 

Conclusion: EF and acidic pH values indicate Tehran is under the influence of extremely anthropogenic activities. Large number of vehicles and industrial activity in the city are undoubtedly responsible for the emission of a wide range of pollution.


Hedieh Chorom, Nabiollah Mansouri, Mohammad Hassan Behzadi,
Volume 15, Issue 3 (12-2022)
Abstract

Background and Objective: This study aims to develop a quantitative model for the performance evaluation of urban green buildings using exploratory and confirmatory factor analysis.
Materials and Methods: Criteria and sub-criteria related to green building were collected, then to content validity and reliability of the primary questionnaire were confirmed by a panel of 11 experts. The final questionnaire with 8 main criteria and 26 sub-criteria was provided to 295 green building users to model the performance of the green buildings. Content validity and Cronbach's alpha were used for validity and reliability of the initial questionnaire, Expletory Factor Analysis was employed to identify factor structure and Confirmatory Factor Analysis was utilized to examine factor loadings and goodness of fit.
Results: The final questionnaire included 8 main criteria and 26 secondary criteria. The internal consistency of the test was adequate (alpha>0.6); the chi-square test for EFI analysis was equal to 0.09 and RMSEA<0.05 and the CFI index was equal to =0.98.
Conclusion: The results showed the designed 8-factor model could predict the impact of green building performance by 81.64%. EFI and CFI analysis confirmed the fitting of the model too.
 


Page 1 from 1     

© 2024 , Tehran University of Medical Sciences, CC BY-NC 4.0

Designed & Developed by: Yektaweb