From: The effect of smartphones on the self-rated health levels of the elderly
Variable | Experience group | Control group | Standard deviation (%) | Deviation reduction(%) | T-value | P-value | |
---|---|---|---|---|---|---|---|
Gender | Unmatched | 0.667 | 0.691 | −5.0 | −1.28 | 0.199 | |
Matched | 0.667 | 0.634 | 7.2 | −44.6 | 1.59 | 0.112 | |
Age | Unmatched | 2.666 | 3.326 | −51.4 | −13.00 | 0.000 | |
Matched | 2.666 | 2.692 | −2.1 | 95.9 | −0.50 | 0.616 | |
Edu | Unmatched | 3.401 | 3.084 | 41.4 | 10.28 | 0.000 | |
Matched | 3.401 | 3.431 | −3.9 | 90.6 | −1.00 | 0.316 | |
Living situation | |||||||
Spouse | Unmatched | 0.552 | 0.547 | 1.0 | 0.25 | 0.799 | |
Matched | 0.552 | 0.550 | 0.4 | 60.2 | 0.09 | 0.930 | |
Children | Unmatched | 0.144 | 0.143 | 0.2 | 0.06 | 0.953 | |
Matched | 0.144 | 0.143 | 0.3 | −23.0 | 0.06 | 0.950 | |
SC | Unmatched | 0.266 | 0.254 | 2.9 | 0.13 | 0.899 | |
Matched | 0.266 | 0.270 | − 0.9 | 69.5 | − 0.20 | 0.843 | |
Conditions | Unmatched | 2.879 | 2.6095 | 39.7 | 10.26 | 0.000 | |
Matched | 2.879 | 2.840 | 5.7 | 85.7 | 1.27 | 0.203 | |
Number | Unmatched | 2.305 | 2.493 | −36.7 | −9.23 | 0.000 | |
Matched | 2.305 | 2.279 | 5.0 | 86.3 | 1.23 | 0.22 | |
Income | Unmatched | 3.637 | 3.351 | 32.2 | 8.15 | 0.000 | |
Matched | 3.637 | 3.694 | −6.5 | 79.9 | −1.52 | 0.129 | |
Current work | |||||||
Retirement | Unmatched | 0.786 | 0.858 | −19.0 | −5.10 | 0.000 | |
Matched | 0.789 | 0.817 | −7.3 | 61.4 | −1.60 | 0.110 | |
Employment | Unmatched | 0.180 | 0.078 | 31.0 | 8.59 | 0.000 | |
Matched | 0.177 | 0.160 | 5.2 | 83.2 | 1.05 | 0.293 | |
Business | Unmatched | 0.026 | 0.018 | 5.9 | 1.60 | 0.110 | |
Matched | 0.026 | 0.020 | 4.5 | 23.2 | 1.01 | 0.312 | |
Residence | Unmatched | 3.516 | 3.313 | 21.6 | 5.41 | 0.000 | |
Matched | 3.516 | 3.601 | −9.1 | 58.0 | −2.18 | 0.029 | |
Pseudo R2 | LR chi2 | p > chi2 | MeanBias (%) | MedBia(%) | B | R | |
Unmatched | 0.118 | 461.11 | 0.000 | 21.9 | 20.8 | 84.9* | 0.84 |
Matched | 0.004 | 10.46 | 0.656 | 2.6 | 2.6 | 14.1 | 1.37 |