Validity and reliability of constructs
| Construct | Loading | VIF | α | CRa | AVEb |
|---|---|---|---|---|---|
| Career decision-making self-efficacy (CDSE) | 0.80 | 0.86 | 0.56 | ||
| CDSE 1 | 0.797 | 1.716 | |||
| CDSE 2 | 0.718 | 1.756 | |||
| CDSE 3 | 0.780 | 1.794 | |||
| CDSE 4 | 0.876 | 2.466 | |||
| CDSE 5 | 0.532 | 1.279 | |||
| Career optimism (CO) | 0.91 | 0.93 | 0.62 | ||
| CO 1 | 0.609 | 2.124 | |||
| CO 2 | 0.814 | 2.489 | |||
| CO 3 | 0.823 | 2.547 | |||
| CO 4 | 0.790 | 2.407 | |||
| CO 5 (deleted) | – | – | |||
| CO 6 | 0.812 | 2.783 | |||
| CO 7 | 0.788 | 2.219 | |||
| CO 8 (deleted) | – | – | |||
| CO 9 (deleted) | – | – | |||
| CO 10 | 0.872 | 3.035 | |||
| CO 11 | 0.814 | 2.464 | |||
| Consideration of future consequences – immediate (CFC-I) | 0.94 | 0.95 | 0.78 | ||
| CFC-I 1 | 0.885 | 2.288 | |||
| CFC-I 2 | 0.882 | 3.072 | |||
| CFC-I 3 | 0.924 | 2.412 | |||
| CFC-I 4 | 0.893 | 3.074 | |||
| CFC-I 5 | 0.851 | 2.725 | |||
| CFC-I 6 (deleted) | – | – | |||
| CFC-I 7 | 0.869 | 2.755 |
| Construct | Loading | VIF | CRa | AVEb | |
|---|---|---|---|---|---|
| 0.80 | 0.86 | 0.56 | |||
| CDSE 1 | 0.797 | 1.716 | |||
| CDSE 2 | 0.718 | 1.756 | |||
| CDSE 3 | 0.780 | 1.794 | |||
| CDSE 4 | 0.876 | 2.466 | |||
| CDSE 5 | 0.532 | 1.279 | |||
| 0.91 | 0.93 | 0.62 | |||
| CO 1 | 0.609 | 2.124 | |||
| CO 2 | 0.814 | 2.489 | |||
| CO 3 | 0.823 | 2.547 | |||
| CO 4 | 0.790 | 2.407 | |||
| CO 5 (deleted) | – | – | |||
| CO 6 | 0.812 | 2.783 | |||
| CO 7 | 0.788 | 2.219 | |||
| CO 8 (deleted) | – | – | |||
| CO 9 (deleted) | – | – | |||
| CO 10 | 0.872 | 3.035 | |||
| CO 11 | 0.814 | 2.464 | |||
| 0.94 | 0.95 | 0.78 | |||
| CFC-I 1 | 0.885 | 2.288 | |||
| CFC-I 2 | 0.882 | 3.072 | |||
| CFC-I 3 | 0.924 | 2.412 | |||
| CFC-I 4 | 0.893 | 3.074 | |||
| CFC-I 5 | 0.851 | 2.725 | |||
| CFC-I 6 (deleted) | – | – | |||
| CFC-I 7 | 0.869 | 2.755 |
Note(s): aComposite reliability = (square of the summation of the factor loadings)/[square of the summation of the factor loadings) + (square of the summation of the error variance)]; bAVE = (Summation of squared factor loadings)/(Summation of squared factor loadings) (Summation of error variances); α = Cronbach's alpha
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