2015
DOI: 10.5539/gjhs.v7n7p22
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Analyzing the Dimensions of the Quality of Life in Hepatitis B Patientsusing Confirmatory Factor Analysis

Abstract: Background and Objectives:The scope of the quality of life assessment is not widespread in any time like today. Economists, social scientists and politicians look at this topic from the particular approach. The life quality in hepatitis B patients regarding the degree of its progress is considered a major concern in these patients. Thus, the aim of the study was analyzing the dimensions of the life quality of a group of people suffering from hepatitis B in Mazandaran province in 2012.Methods:This study was don… Show more

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Cited by 38 publications
(29 citation statements)
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“…The requirement for SEM is acceptable model fit, which is indicated by a CFI and NFI value of 0.90 or higher (Suhr, n.d.), AGFI and GFI values of 0.7 or higher (Abedi et al, 2015). Also, for SEM, sample sizes above 200 as considered large; we had 713 samples in this analysis, and therefore the CMIN value higher than three is accepted (Hair et al, 2006).…”
Section: Resultsmentioning
confidence: 99%
“…The requirement for SEM is acceptable model fit, which is indicated by a CFI and NFI value of 0.90 or higher (Suhr, n.d.), AGFI and GFI values of 0.7 or higher (Abedi et al, 2015). Also, for SEM, sample sizes above 200 as considered large; we had 713 samples in this analysis, and therefore the CMIN value higher than three is accepted (Hair et al, 2006).…”
Section: Resultsmentioning
confidence: 99%
“…In this study, the Comparative Fit Index (CFI), Root Mean Square Error of Approximation (RMSEA), Goodness-of-Fit Index (GFI), and Adjusted Goodness-of-Fit Index (AGFI) were used. The model was considered to have an acceptable fit if CFI > 0.9, RMSEA < 0.08, GFI > 0.8, and AGFI > 0.8 [30,31]. The structural model was evaluated by testing the significance of all direct and indirect effects specified in the model to determine whether the independent variables (exogenous latent variables) and mediating variable have direct and indirect effects on the dependent variable (endogenous latent variable).…”
Section: Data Analysesmentioning
confidence: 99%
“…Next, in the CFA, the goodness of fit index (GFI), comparative fit index (CFI), standardized root-mean-square residual (SRMR), and rootmean-square error of approximation (RMSEA) were assessed. For GFI and CFI, with a cut-off value of 0.80, optimal goodness of fit was determined when the values were 0.90 or higher [26]. For RMSEA, a value of less than 0.08 indicated high goodness of fit, while a value of less than 0.10 indicated moderate goodness of fit [27].…”
Section: Discussionmentioning
confidence: 99%