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60 are required for good factor analysis. Confirmatory factor analysis (CFA) was carried out using the maximum likelihood (ML) method. Since departures from multivariate normality can have a significant impact on maximum-likelihood estimation, we calculated descriptive analytical measures prior to conducting CFA analysis. As kurtosis statistics were found to indicate normality, no other correction was used to adjust the model chi-square 18. According to Schweizer's recommendations 19 additional measures of model fit were used: root mean square error of approximation (RMSEA) with values below 0.08 considered acceptable fit; comparative fit index (CFI) ��0.06 as good fit values; GFI and NNFI with values ��0.90 as acceptable fit. Three putative models were compared with selleck one, two and three factors. The last (three factor) was a less parsimonious model, in which the factor inter-correlation was freely estimated; while the first model (one factor) was a more parsimonious model, the independence model, in which the factor inter-correlation was set to 0 to represent the factor structure of the original scale. Concurrent validity was tested with Pearson correlation between HES and GSES, SRDES and MDES. Content Validity was evaluated with Scale and Item Construct Validity Index. Statistical significance was established at p= 0.01 (two-tails). Results Participants' socio-demographic PS 341 data are displayed in Table 2. Most of them were married females, with a mean age of 75.5 for men and 74.1 for women, ranging from 64 to 93 years; most of them female (71.0%), and most (89.7%) had one or more chronic diseases, two-thirds with hypertension, nearly half of them with arthritis and one-third with diabetes. On average they had 2.21 chronic diseases / person and took an average of 2.86 types of different drugs. Most participants achieved incomplete literacy level, had regular medical consultation, but rarely had been admitted to hospital. They had medium incomes level and exhibited mild self-efficacy scores. A summary of the baseline characteristics of participants is offered in Table 2. Table lazabemide 2. Demographic characteristics of subject (n= 648). Reliability The mean HES score for the sample was 3.5 (SD 0.73), every question was in the range between 3.22-3.79 (SD 1.03-1.22). Coefficient of kurtosis (-0.764 to 0.077) and skewness (1.843-3.058) showed a normal distribution. HES exhibited excellent internal consistency with Cronbach's ��= 0.89 and >0.81 for full scale and corrected items to total correlation respectively. Floor and ceiling effects were small (
