以確認測量變項達內部一致性。平均變異萃取量（average varia

以確認測量變項達內部一致性。平均變異萃取量（average variance extracted, AVE）應要大於.50以上，以確認模型具聚歛效度。在區辨效度方面，依據Fornell與Lacker（1981）建議，單一構面AVE開根號的值高於其他變項間的相關係數，則顯示構面間具有區別效度。

結果 (英文) 1:

Verifies that the measurement variables of internal consistency. Extracted amount of variation (average variance extracted, AVE) above should be greater than .50, to confirm validity of the model with convergent. Region identified in terms of validity, and based Fornell Lacker (1981) suggested a single facet value AVE square root of the higher correlation coefficients between other variables, the display surface having a difference between the configuration validity.

結果 (英文) 2:

to confirm the internal consistency of the measured variable. The average variation extract (average variance extracted, AVE) should be greater than .50 to confirm the amassing efficiency of the model. In terms of region validity, according to Fornell and Lacker (1981), the value of the single face AVE root sign is higher than the correlation coefficient between other variables, then it shows that there is a differential validity between the faces.

結果 (英文) 3:

To confirm the internal consistency of measurement variables. The average variation extracted (AVE) should be more than. 50 to confirm the model has aggregation validity. In terms of discriminative validity, according to Fornell and Lacker's (1981) recommendations, the value of ave root sign of a single facet is higher than the correlation coefficient between other variables, indicating that there is a discriminative validity between facets.