| Validity Type | Criterion | Description | Literature |
| Unidimensionality | Exploratory Factor Analysis (EFA) | The number of selected factors is determined by the numbers of factors with an eigenvalue greater than 1.0. | Gerbing and Anderson [60] |
| Internal Consistency Reliability | Cronbach Alpha | Should be greater than 0.70 to achieve the reliable of measurement model. | Nunnally [61] |
| Internal Consistency Reliability | Composite Reliability | Alternative to Cronbach Alpha that attempt to measure the sum of an LV’s factor loadings relative to the sum of the factor loadings plus error variances. | Nunnally and Bernstein [62] |
| Indicator Reliability | Indicator Loadings | Measures how much of the indicators variance is explained by the coresponding latent variables. | Chin [63] |
| Convergent Validity | Average Variance Extracted (AVE) | Proposed threshold value for AVE should be higher than 0.50. | Fornell and Larcker [64] |
| Discriminant Validity | Fornell-Larcker criterion | The AVE of each latent variable should be greater than the latent variable highest squared correlation with any other latent variable. | Fornell and Larcker [64] |