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Showing 2 results for Confirmatory Factor Analysis
Evaluation of the internal structure of the Cyberchondria severity scale (CSS): A Factor analytic study
Mohammad Nasiri, Majid Mahmood Alilou, Hossein Karsazi, Miad Osfouri,
Volume 3, Issue 3 (10-2015)
Abstract

Background & Aim: Cyberchondria is a form of anxiety characterized by excessive            health- related internet search. The aim of this study was to evaluate the factorial structure of the Persian version of the Cyberchondria severity scale, designed to measure individuals' anxiety about their own health status caused by excessive health- related internet search.

Methods: This is a descriptive /analytical study conducted on 228 students (154 males and 74 females) of Tabriz universities (Tabriz University, Payame Noor) through convenience sampling. Subjects completed the Cyberchondria severity scale questionnaire. Data were analyzed through exploratory factor analysis and confirmatory factor analysis using SPSS 22 and Mplus 6.12 softwares.

Results: Although exploratory factor analysis identified a five-factor structure, further investigations showed that the four-factor structure is probably more suitable for Iranian population. The four discovered factors were named as: Compulsion, Excessiveness, Reassurance and Distress. In addition, the results of confirmatory factor analysis showed that the four-factor structure well fitted the data.

Conclusion: Findings suggest that the Persian version of the Cyberchondria severity scale is an appropriate tool to measure the severity of health anxiety caused by excessive health-related internet search. However, further research should be carried out in this field. 


Checking Psychometric properties of the Persian version of Lifelong Learning Tool using Weighted Least Square method
Karimi F, Bakhshi M, Abdollahi M, Hoseini Z,
Volume 6, Issue 1 (4-2018)
Abstract
Background & Aim: Nowadays, training of efficient human resources and providing appropriate context for achieving lifelong learning are among the main duties of universities. The purpose of this study is to determine the psychometric properties of the Persian version of Lifelong Learning Scale using Weighted Least Square method.
Methods: This is a methodological and psychometric study. The utilized tool was the Persian version of JeffSPLL. The sample population consisted of 171 staff members of Birjand University of Medical Science. To investigate the factorial structure of the questionnaire considering ordinal scale for data, weighted least squares methods (WLS, WLSM and WLSMV) were used. Furthermore, three indices including RMSEA, CFI and TLI were adopted to check the model fitting. Statistical analysis was conducted using MPlus version 6.
Results: The results of confirmatory factor analysis using WLSMV method was 0.1 for RMSEA. CFI and TLI indices were 0.91 and 0.90 respectively. So, four -factor model was appropriate.
Conclusion: The present study showed that the Persian version of the JeffSPLL, like the English version of the scale, has four factors including professional learning motivation, scholarly activities, attention to learning opportunities, and technical skills in information seeking. Therefore, it can be used to evaluate lifelong learning of Persian-speaking medical staff.

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