Table 1.

Confirmatory factor analysis results, construct reliability, and discriminant validity

Factor and itemStandardized loadingLatent correlationsAVE√AVECR
123
1. Formal training evaluation0.270.720.830.910.94
I enjoyed the training very much0.88
Participation in this kind of training is very useful for my job0.95
After the training, I know substantially more about the training contents than before0.91
2. Informal learning behaviors0.270.310.450.670.76
I use my own ideas to improve tasks at work0.61
I ask my colleagues about the methods and tricks they use at work0.46
Before starting a new task, I think about how I can do my work best0.83
I want to learn something new for myself because then I can solve problems at work faster0.72
3. Training transfer0.720.310.810.900.93
Using the new KSA has helped me improve my work0.90
I have accomplished my job tasks faster than before training0.88
The quality of my work has improved after using new KSA0.91
Note(s):

AVE = average variance extracted; √AVE = square root of average variance extracted; CR = composite reliability. Values under “Latent correlations” represent correlations among latent variables. All standardized factor loadings were statistically significant at p <0.001. Discriminant validity was supported because the square root of AVE for each construct exceeded its correlations with the other latent variables

Source(s): Authors’ own work

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