Table 2.
Convergent and discriminant validity of the model.
Dimension | CR | Adjustment | AVE | Adjustment | MSV | Adjustment |
---|---|---|---|---|---|---|
Professional commitment | 0.843 | CR > 0.7 | 0.568 | AVE > 0.5 | 0.412 | MSV < AVE |
Digital resources | 0.825 | 0.585 | 0.361 | |||
Digital pedagogy | 0.801 | 0.692 | 0.383 | |||
Evaluation and feedback | 0.785 | 0.721 | 0.413 | |||
Empower students | 0.772 | 0.670 | 0.428 | |||
Facilitate the students’ digital competence | 0.891 | 0.690 | 0.435 |
Composite Reliability (sometimes called construct reliability) is a measure of internal consistency in scale items; Average Variance Extracted (AVE) is a measure of the amount of variance that is captured by a construct in relation to the amount of variance due to measurement error; Maximum Shared Variance (MSV) is the square of the highest correlation coefficient between latent constructs.