# Longitudinal Study on Construction Organization's BIM Acceptance
## 4 The Validation of 2019 BIM Acceptance Model
### The Validation Results for the Measurement Model
\begin{table}
\begin{tabular}{l l l l l} \hline \hline
**Latent Constructs** & **Observed Indicators** & **Factor Loading** & **t-Value** & **CR** & **AVE** \\ \hline  & & 0C1 & 0.864 & - & 0.863 & 0.512 \\  & & 0C2 & 0.852 & 11.83 & \\  & & 0C3 & 0.800 & 10.56 & \\  & & 0C4 & 0.847 & 11.68 & \\  & & 0C5 & 0.832 & 11.31 & \\  & & 0C6 & 0.851 & 11.79 & \\ \hline  & & 0T1 & 0.752 & - & 0.858 & 0.480 \({}^{*}\) \\  & & 0T2 & 0.703 & 7.31 & \\  & & 0T3 & 0.716 & 7.46 & \\  & & 0T4 & 0.823 & 8.69 & \\  & & 0T5 & 0.753 & 7.89 & \\  & & 0R44 & 8.94 & & \\  & & 0T2 & 0.602 & 6.18 & \\ \hline  & & 0T1 & 0.844 & - & 0.933 & 0.701 \\  & & 0T2 & 0.762 & 9.54 & \\  & & 0C3 & 0.878 & 12.65 & \\  & & 0T4 & 0.905 & 12.76 & \\  & & 0C5 & 0.888 & 12.32 & \\  & & 0C6 & 0.936 & 13.60 & \\ \hline  & & 0B1 & 0.893 & - & 0.699 \({}^{*}\) & 0.310 \({}^{*}\) \\  & & 0B2 & 0.690 & 8.52 & \\  & & 0B3 & 0.940 & 14.10 & \\  & & 0C4 & 0.573 & 6.57 & \\  & & 0B5 & 0.572 & 6.56 & \\ \hline  & & 0F1U1 & 0.874 & - & 0.820 & 0.604 \\ PEU & & 0F2U2 & 0.921 & 14.10 & \\  & & 0 FU3 & 0.842 & 11.75 & \\ \hline  & & 0C0A1 & 0.940 & - & 0.900 & 0.818 \\ COA2 & & 0.963 & 18.71 & & \\ \hline  & & 0F1 & 0.853 & - & 0.834 & 0.503 \\  & & 0F2 & 0.776 & 9.63 & \\ PU & & 0B5 & 11.28 & & \\  & & 0F5 & 0.756 & 9.26 & \\  & & 0F6 & 0.752 & 9.18 & \\ \hline  & & 0I1A1 & 0.917 & - & 0.892 & 0.734 \\ IIA & & 0I2A & 0.917 & 14.89 & & \\  & & 0I2A3 & 0.832 & 12.19 & & \\ \hline  & & 0I41 & 0.874 & - & 0.882 & 0.651 \\ OIA & & 0I2A & 0.922 & 14.41 & & \\ OIA & & 0I3 & 0.940 & 15.07 & & \\  & & 0I4A & 0.904 & 13.80 & & \\ \hline \hline \end{tabular} \(\textless t\) value for these parameters were not available because they were fixed for scaling purpose. *: Not satisfied with the criteria.  
\end{table} 
Table 2: Fit indices for BIM Acceptance model 2019. \begin{table}
\begin{tabular}{l l l l l l} \hline \hline
**Latent Constructs** & **Observed Indicators** & **Factor Loading** & **t-Value** & **CR** & **AVE** \\ \hline  & & 0C1 & 0.864 & - & 0.863 & 0.512 \\  & & 0C2 & 0.852 & 11.83 & & \\  & & 0C3 & 0.800 & 10.56 & & \\  & & 0C4 & 0.847 & 11.68 & & \\  & & 0C5 & 0.832 & 11.31 & & \\  & & 0C6 & 0.851 & 11.79 & & \\ \hline  & & 0T1 & 0.752 & - &  
Thirdly, discriminant validity is a concept for validating that there is a low correlation between measurements when measuring different concepts and can be confirmed by analyzing the relationships between constructs. discriminant validity is evaluated by comparing the shared variances between factors (r2) and the AVE from the individual factors. In addition, it can be interpreted that there is discriminant validity when the AVE value is greater than the r2 value [40]. As a result of the discriminant validity test of the measurement model (see Table 4), discriminant validity of OC-PEU, OC-COA, OC-OIA, PEU-COA, and PEU-OIA were not satisfied. Examining the convergent validity and discriminant validity, several factors did not satisfy the criteria. However, the results of exploratory factor analysis (EFA) was significant and verified by professionals. In addition, as a result of conducting multi-collinearity diagnosis between the independent variables (see Table 5), it was confirmed that most of them met the acceptance level (condition index \(\leq\) 30, tolerance \(<\) 0.1, Various Inflation Factor (VIF) \(\leq\) 10) [41]. Therefore, the proposed measurement model could be considered to have convergent validity and discriminant validity.