Table 1.
Control Variables | Retained Samples | Lost Samples | H0: (1) = (2) Difference |
---|---|---|---|
Mean | Mean | Mean | |
(SD) | (SD) | (p-Value) | |
(1) | (2) | (3) | |
Students’ characteristics | |||
(1) Age (1 = at least 10 years old; 0 = less than 10 years old) | 0.83 | 0.87 | 0.04 |
(0.37) | (0.34) | (0.35) | |
(2) Gender (1 = male; 0 = female) | 0.51 | 0.56 | 0.05 *** |
(0.50) | (0.50) | (0.00) | |
(3) If the student is in grade-4 (1 = yes; 0 = no) | 0.49 | 0.52 | 0.027 ** |
(0.50) | (0.50) | (0.04) | |
(4) If the student has myopia (1 = yes; 0 = no) | 0.16 | 0.12 | −0.04 *** |
(0.37) | (0.33) | (0.00) | |
(5) Standardized mathematics scores at baseline | 0.05 | −0.14 | −0.18 *** |
(0.98) | (1.02) | (0.00) | |
(6) Distance from the school to the student’s resident county (km) | 34.31 | 34.11 | −0.20 |
(21.19) | (21.20) | (0.81) | |
Family characteristics | |||
(7) ln (family assets) | 9.66 | 9.60 | −0.05 ** |
(0.96) | (0.96) | (0.03) | |
(8) Father’s education level (1 = is at least a high school graduate; 0 = lower than high school) |
0.13 | 0.13 | −0.00 |
(0.34) | (0.34) | (0.73) | |
(9) Mother’s education level (1 = is at least a high school graduate; 0 = lower than high school) |
0.79 | 0.80 | 0.01 |
(0.41) | (0.40) | (0.14) | |
(10) Both father and mother migrate to urban areas for work (1 = yes; 0 = no) | 0.12 | 0.13 | 0.01 |
(0.33) | (0.34) | (0.23) | |
N | 16,685 | 3909 |
Note: *** p < 0.01, ** p < 0.05, * p < 0.1. SD, standard deviation. Data source: Authors’ survey.