Skip to main content
. 2017 Nov 24;7(2):020409. doi: 10.7189/jogh.07.020409

Table 3.

Cross–sectional one–way ANOVA and chi–square results of receiving no cash or care, either cash or care, or cash plus care on cognitive abilities and educational risk*

Boys (n = 400)
Girls (n = 439)

No cash, no care (A)
Cash or care(B)
Cash plus care (C)
Difference statistic (P–value)
Post–hoc A vs B (95% CI)
Post–hoc B vs C (95% CI)
No cash, no care (A)
Cash or care(B)
Cash plus care (C)
Difference statistic (P–value)
Post–hoc A vs B (95% CI)
Post–hoc B vs C (95% CI)
Educational risk
1.21 (1.38)
1.01 (1.15)
0.92 (1.06)
1.22 (0.30)
0.20 (–0.16, 0.56)
0.09 (–0.32, 0.50)
1.03 (1.10)
0.55 (0.93)
0.41 (0.70)
11.59 (<0.001)
0.49 (0.21, 0.76)‡
0.14 (–0.14, 0.42)
Correct class for age
39 (47.0%)
161 (63.9%)
40 (65.6%)
5.23 (0.016)
7.41‡
0.061
44 (50.0%)
208 (79.7%)
71 (85.5%)
37.08 (<0.001)
28.91‡
1.41
Regular attendance
73 (88.0%)
244 (96.8%)
59 (96.7%)
10.72 (0.005)
9.67†
0.002
79 (89.8%)
254 (97.3%)
79 (95.2%)
8.49 (0.014)
8.57†
0.93
Quick learner
58 (70.7%)
159 (64.1%)
38 (63.3%)
1.33 (0.52)
1.20
0.013
67 (77.0%)
202 (78.6%)
71 (85.5%)
2.32 (0.32)
0.10
1.91
Doing well or better than most in school 65 (78.3%) 190 (75.4%) 51 (83.6%) 1.95 (0.38) 0.29 1.87 76 (86.4%) 234 (89.7%) 78 (94.0%) 2.72 (0.26) 0.72 1.39

CI – confidence interval

*Difference statistic is F for continuous variables and χ2 for categorical variables. Post–hoc comparisons are mean difference (odds ratio) between categories for continuous variables (ie, A–B and B–C) and χ2 for categorical variables. Because half of the cells in school enrolment and school days missed had fewer than five cases, a chi–square analysis for these variables split by gender could not be carried out.

P < 0.01.

P < 0.001.