Table 6. Hypothesis 4: Broader socio-economic factors associated with women being uneducated.

	Model 1: Natal household asset score n = 2,4321 R2 = 0.210		Model 2: Broader socio-economic factors n = 2,4321 R2 = 0.363
	OR (95% CI)	p-value	aOR (95% CI)	p-value
Women’s age (y)	1.16 [1.12–1.20]	<0.001	1.18 [1.14–1.23]	<0.001
Asset score	1.00		1.00
Poorest	11.84 [8.36–16.77]	<0.001	8.79 [5.97–12.95]	<0.001
2nd poorest	4.01 [2.97–5.40]	<0.001	3.60 [2.59–5.01]	<0.001
Mid	3.18 [2.39–4.23]	<0.001	3.16 [2.31–4.34]	<0.001
2nd richest	1.68 [1.27–2.22]	<0.001	1.68 [1.23–2.28]	<0.001
Richest (ref)			1.00
Agrarian land
None			2.99 [2.15–4.18]	<0.001
0.01 to 0.5 hectares			1.79 [1.33–2.42]	<0.001
0.51 to 0.99 hectares			1.17 [0.84–1.63]	0.351
≥1 hectare (ref)			1.00
Access to big bazaar
<30 min (ref)			1.00
30–59 min			1.18 [0.90–1.55]	0.220
60–89 min			1.16 [0.83–1.60]	0.387
≥90 min			1.62 [1.05–2.51]	0.031
Caste
Disadvantaged: Dalit			1.66 [1.18–2.35]	0.004
Disadvantaged: Muslim			7.12 [4.83–10.49]	<0.001
Middle: Janjati, Terai castes			0.99 [0.76–1.29]	0.927
Advantaged: Yadav, Brahmin (ref)			1.00
Intercept	0.04 [0.02–0.09]	<0.001	0.01 [0.00–0.02]	<0.001

Notes:

Models include fixed and random effects estimates for geographic clusters and control for trial arm. Grey shading indicates statistically significant associations. aOR, Adjusted Odds Ratio. CI, 95% Confidence Interval.

¹n = 822 educated (≥1 year schooling) vs n = 1,610 uneducated.