Table 6.
PLS prediction summary | |||||||||
---|---|---|---|---|---|---|---|---|---|
Q2 | |||||||||
AR | 0.186 | ||||||||
ATT | 0.197 | ||||||||
CVB | 0.324 | ||||||||
SN | 0.122 | ||||||||
PLS prediction summary | |||||||||
PLS | LM | PLS-LM | |||||||
RMSE | MAE | Q2 predict | RMSE | MAE | Q2 predict | RMSE | MAE | Q2 predict | |
AR3 | 1.657 | 1.34 | 0.159 | 1.651 | 1.321 | 0.166 | 0.006 | 0.019 | −0.007 |
AR2 | 1.654 | 1.321 | 0.201 | 1.658 | 1.323 | 0.198 | −0.004 | −0.002 | 0.003 |
AR4 | 1.614 | 1.293 | 0.162 | 1.562 | 1.242 | 0.214 | 0.052 | 0.051 | −0.052 |
AR1 | 1.556 | 1.238 | 0.222 | 1.544 | 1.205 | 0.234 | 0.012 | 0.033 | −0.012 |
Att1 | 1.777 | 1.381 | 0.167 | 1.547 | 1.08 | 0.367 | 0.23 | 0.301 | −0.2 |
Att3 | 1.656 | 1.306 | 0.241 | 1.599 | 1.232 | 0.291 | 0.057 | 0.074 | −0.05 |
Att4 | 1.761 | 1.448 | 0.194 | 1.726 | 1.394 | 0.225 | 0.035 | 0.054 | −0.031 |
Att2 | 1.698 | 1.336 | 0.188 | 1.591 | 1.181 | 0.287 | 0.107 | 0.155 | −0.099 |
CVB1 | 1.605 | 1.286 | 0.235 | 1.587 | 1.221 | 0.251 | 0.018 | 0.065 | −0.016 |
CVB6 | 1.579 | 1.239 | 0.216 | 1.564 | 1.206 | 0.23 | 0.015 | 0.033 | −0.014 |
CVB5 | 1.616 | 1.325 | 0.225 | 1.604 | 1.273 | 0.236 | 0.012 | 0.052 | −0.011 |
CVB3 | 1.587 | 1.266 | 0.262 | 1.555 | 1.178 | 0.291 | 0.032 | 0.088 | −0.029 |
CVB4 | 1.569 | 1.263 | 0.258 | 1.553 | 1.195 | 0.273 | 0.016 | 0.068 | −0.015 |
CVB2 | 1.651 | 1.326 | 0.225 | 1.648 | 1.284 | 0.228 | 0.003 | 0.042 | −0.003 |
SN2 | 1.784 | 1.488 | 0.152 | 1.791 | 1.485 | 0.146 | −0.007 | 0.003 | 0.006 |
SN5 | 1.803 | 1.493 | 0.09 | 1.795 | 1.483 | 0.099 | 0.008 | 0.01 | −0.009 |
SN4 | 1.907 | 1.597 | 0.015 | 1.882 | 1.567 | 0.041 | 0.025 | 0.03 | −0.026 |
SN1 | 1.667 | 1.313 | 0.171 | 1.59 | 1.214 | 0.246 | 0.077 | 0.099 | −0.075 |
SN3 | 1.721 | 1.409 | 0.176 | 1.724 | 1.399 | 0.173 | −0.003 | 0.01 | 0.003 |
ATT, attitude; SN, subjective norm; PBC, perceived behavioral control; AR, anticipated regret; CVB, COVID-19 vaccination behavior; PS, perceived susceptibility; LM, linear regression model; RMSE, root mean square error; and MAE, mean absolute error.