Table 4.
Summary of path coefficients and factor loading weights between variables
| Path | Unstandardized Regression Weight | Std. Error | P |
|---|---|---|---|
| PCC <- Income | 0.136 | 0.031 | *** |
| PCC <- Education | 0.082 | 0.026 | 0.001 |
| PS <- Income | 0.073 | 0.025 | 0.004 |
| PS <- Education | 0.017 | 0.021 | 0.402 |
| PS <- PCC | 0.726 | 0.044 | *** |
| PP <- PCC | 0.833 | 0.048 | *** |
| PC <- PCC | 0.805 | 0.053 | *** |
| CC <- PCC | 0.954 | 0.055 | *** |
| AC <- PCC | 0.881 | 0.058 | *** |
| FF <- PCC | 0.678 | 0.049 | *** |
| IE <- PCC | 0.810 | 0.046 | *** |
| ES <- PCC | 1.000 | ||
| CT <- PCC | 0.841 | 0.046 | *** |
| PP1 <- PP | 0.731 | 0.034 | *** |
| PP2 <- PP | 0.896 | 0.039 | *** |
| PP3 <- PP | 0.866 | 0.041 | *** |
| PP4 <- PP | 0.840 | 0.056 | *** |
| PP5 <- PP | 1.000 | ||
| PP6 <- PP | 0.991 | 0.034 | *** |
| PP7 <- PP | 0.871 | 0.037 | *** |
| PC1 <- PC | 0.904 | 0.058 | *** |
| PC2 <- PC | 1.000 | ||
| PC3 <- PC | 0.726 | 0.045 | *** |
| PC4 <- PC | 0.912 | 0.057 | *** |
| PC5 <- PC | 0.701 | 0.047 | *** |
| CC1 <- CC | 0.873 | 0.051 | *** |
| CC2 <- CC | 0.956 | 0.047 | *** |
| CC3 <- CC | 1.000 | ||
| CC4 <- CC | 0.921 | 0.065 | *** |
| CT4 <- CT | 1.000 | ||
| CT3 <- CT | 0.952 | 0.046 | *** |
| CT2 <- CT | 0.881 | 0.044 | *** |
| CT1 <- CT | 0.933 | 0.056 | *** |
| AC1 <- AC | 0.701 | 0.053 | *** |
| AC2 <- AC | 0.824 | 0.045 | *** |
| AC3 <- AC | 1.000 | ||
| AC4 <- AC | 0.863 | 0.062 | *** |
| AC5 <- AC | 0.618 | 0.051 | *** |
| ES4 <- ES | 0.836 | 0.048 | *** |
| ES3 <- ES | 1.000 | ||
| ES2 <- ES | 0.954 | 0.041 | *** |
| ES1 <- ES | 0.984 | 0.040 | *** |
| FF3 <- FF | 0.928 | 0.047 | *** |
| FF2 <- FF | 0.829 | 0.043 | *** |
| FF1 <- FF | 1.000 | ||
| IE4 <- IE | 0.740 | 0.037 | *** |
| IE3 <- IE | 0.920 | 0.057 | *** |
| IE2 <- IE | 1.000 | ||
| IE1 <- IE | 0.857 | 0.038 | *** |
| PS1 <- PS | 0.859 | 0.046 | *** |
| PS2 <- PS | 0.797 | 0.055 | *** |
| PS3 <- PS | 0.908 | 0.040 | *** |
| PS4 <- PS | 1.000 |
*** p-value less than 0.001