To assess construct validity, Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) were performed by means of IBM
SPSS statistics version-24 and Amos SPSS version-24 (IBM Corporation, Chicago, USA) software, respectively. Fit indices including ratio of Chi-square to degrees of freedom (X
2/DF), Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI), and Non-Normed Fit Index (NNFI) were used. The values of at least 0.90 for CFI, NNFI and below 0.05 for RMSEA indicated good fit (< 0.08 acceptable).
The mean and standard deviation of questionnaire scores were calculated in total and separately for each domain for students in different educational semesters. IBM
SPSS statistics version-24 served for descriptive, one way ANOVA, linear regression analyses (Backward method),and calculation of Cronbach’s Alpha and Kappa coefficients. The
p-value< 0.05 was considered significant.
Standardized estimates equal to or higher than 0.5, Average Variance Extracted (AVE) of 0.5 or higher, and Composite Reliability (CR) of 0.7 or higher were considered to assess convergent validity.
For measuring divergent validity, the AVE for two constructs should exceed their Maximum Shared Variance (MSV).
Mohebbi S.Z., Yazdani R., Talebi M., Pakdaman A., Heft M.W, & Bahramian H. (2019). Burn out among Iranian dental students: psychometric properties of burnout clinical subtype questionnaire (BCSQ-12-SS) and its correlates. BMC Medical Education, 19, 388.