Confirmatory factor analysis results, construct reliability, and discriminant validity
| Factor and item | Standardized loading | Latent correlations | AVE | √AVE | CR | ||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | |||||
| 1. Formal training evaluation | – | 0.27 | 0.72 | 0.83 | 0.91 | 0.94 | |
| I enjoyed the training very much | 0.88 | ||||||
| Participation in this kind of training is very useful for my job | 0.95 | ||||||
| After the training, I know substantially more about the training contents than before | 0.91 | ||||||
| 2. Informal learning behaviors | 0.27 | – | 0.31 | 0.45 | 0.67 | 0.76 | |
| I use my own ideas to improve tasks at work | 0.61 | ||||||
| I ask my colleagues about the methods and tricks they use at work | 0.46 | ||||||
| Before starting a new task, I think about how I can do my work best | 0.83 | ||||||
| I want to learn something new for myself because then I can solve problems at work faster | 0.72 | ||||||
| 3. Training transfer | 0.72 | 0.31 | – | 0.81 | 0.90 | 0.93 | |
| Using the new KSA has helped me improve my work | 0.90 | ||||||
| I have accomplished my job tasks faster than before training | 0.88 | ||||||
| The quality of my work has improved after using new KSA | 0.91 | ||||||
| Factor and item | Standardized loading | Latent correlations | √AVE | ||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | |||||
| 1. Formal training evaluation | – | 0.27 | 0.72 | 0.83 | 0.91 | 0.94 | |
| 0.88 | |||||||
| 0.95 | |||||||
| 0.91 | |||||||
| 2. Informal learning behaviors | 0.27 | – | 0.31 | 0.45 | 0.67 | 0.76 | |
| 0.61 | |||||||
| 0.46 | |||||||
| 0.83 | |||||||
| 0.72 | |||||||
| 3. Training transfer | 0.72 | 0.31 | – | 0.81 | 0.90 | 0.93 | |
| 0.90 | |||||||
| 0.88 | |||||||
| 0.91 | |||||||
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
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