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. 2023 Sep 1;9(9):e19538. doi: 10.1016/j.heliyon.2023.e19538

Table 5.

Composite reliability and average of variance extracted.

Constructsa Item Standardized factor loading Unstandardized factor loading S.E. t-value ρ SMC C.R. AVE
DC DC1 0.74 1.00 \ \ \ 0.54 0.90 0.58
DC2 0.77 1.16 0.07 16.04 *** 0.60
DC3 0.74 0.96 0.06 15.04 *** 0.54
DC4 0.78 1.08 0.07 15.91 *** 0.60
DC5 0.76 1.07 0.07 15.68 *** 0.58
DC6 0.77 1.02 0.07 15.68 *** 0.59
DC7 0.76 1.06 0.07 15.39 *** 0.57
SE SE1 0.61 1.00 \ \ \ 0.37 0.78 0.47
SE2 0.76 1.24 0.10 12.25 *** 0.58
SE3 0.74 1.15 0.10 11.83 *** 0.54
SE4 0.63 1.05 0.10 10.51 *** 0.40
CC CC1 0.74 1.00 \ \ \ 0.55 0.84 0.51
CC2 0.79 1.07 0.07 16.06 *** 0.62
CC3 0.70 1.26 0.09 13.92 *** 0.49
CC4 0.66 1.04 0.08 12.70 *** 0.43
CC5 0.70 1.06 0.08 13.59 *** 0.49
IS IS1 0.77 1.00 \ \ \ 0.59 0.80 0.50
IS2 0.70 0.93 0.07 13.42 *** 0.49
IS3 0.74 0.83 0.06 14.07 *** 0.55
IS4 0.59 0.83 0.08 10.98 *** 0.35

Model Fits Statistics: χ2 = 449.28, df = 165; CFI = 0.94, TLI = 0.93, RMSEA = 0.06, SRMR = 0.05.

a

DC = Digital Competence; SE = ICT Self-Efficacy; CC = Collegial Collaboration; IS = Infrastructural Support; C.R. = Composite Reliability; ***ρ < 0.001.\ = Items constrained for identification purposes.