Table 3.
Thresholds | ||||||
---|---|---|---|---|---|---|
Well-Being Element | Item | Slope α | β1 | β2 | β3 | β4 |
Purpose | ||||||
Item 1 | 1.261 (0.025) | −2.062 (0.041) | −0.948 (0.034) | 0.263 (0.024) | 1.655 (0.107) | |
Item 2 | 3.065 (0.064) | −2.441 (0.037) | −1.590 (0.058) | −0.589 (0.047) | 0.836 (0.060) | |
Item 3 | 1.753 (0.032) | −2.041 (0.034) | −1.021 (0.035) | 0.185 (0.024) | 1.827 (0.214) | |
Item 4 | 3.105 (0.064) | −2.114 (0.030) | −1.278 (0.048) | −0.335 (0.038) | 0.944 (0.091) | |
Item 5 | 1.616 (0.030) | −2.680 (0.048) | −1.351 (0.047) | −0.038 (0.035) | 1.472 (0.099) | |
Community | ||||||
Item 1 | 3.528 (0.057) | −1.583 (0.018) | −0.787 (0.027) | 0.060 (0.020) | 1.219 (0.328) | |
Item 2 | 3.040 (0.078) | −1.255 (0.019) | ||||
Item 3 | 4.150 (0.073) | −1.716 (0.020) | −1.002 (0.034) | −0.104 (0.027) | 1.003 (0.332) | |
Item 4 | 3.210 (0.050) | −2.029 (0.025) | −1.286 (0.038) | −0.242 (0.030) | 0.943 (0.089) | |
Item 5 | 1.251 (0.024) | −3.973 (0.086) | −2.512 (0.081) | −0.927 (0.065) | 1.237 (0.072) | |
Item 6 | 1.514 (0.027) | −2.824 (0.051) | −1.772 (0.052) | −0.760 (0.041) | 0.736 (0.040) | |
Item 7 | 0.544 (0.019) | −1.077 (0.050) | 0.875 (0.054) | 2.556 (0.171) | 4.782 (0.637) | |
Financial | ||||||
Item 1 | 1.444 (0.050) | −2.131 (0.052) | ||||
Item 2 | 4.051 (0.127) | −1.418 (0.019) | −0.673 (0.047) | 0.125 (0.030) | 1.218 (1.103) | |
Item 3 | 1.867 (0.035) | −1.074 (0.022) | −0.240 (0.018) | 0.319 (0.021) | 1.028 (0.076) | |
Item 4 | 1.519 (0.044) | −1.475 (0.033) | ||||
Item 5 | 2.326 (0.043) | −2.483 (0.039) | −1.577 (0.052) | −0.582 (0.041) | 0.838 (0.045) | |
Social | ||||||
Item 1 | 2.014 (0.041) | −2.228 (0.037) | −1.543 (0.049) | −0.680 (0.037) | 0.445 (0.029) | |
Item 2 | 3.420 (0.096) | −2.332 (0.035) | −1.466 (0.073) | −0.439 (0.058) | 0.827 (0.085) | |
Item 3 | 1.131 (0.025) | −2.164 (0.046) | −0.954 (0.037) | 0.115 (0.025) | 1.532 (0.085) | |
Item 4 | 1.976 (0.040) | −2.644 (0.046) | −1.665 (0.056) | −0.613 (0.044) | 0.680 (0.040) |
WB5, Well-Being 5.
Italicized standard error estimates are “approximate estimates” based on several modifications of options in the numerical optimization process.