Table 3 Fixed effects estimates and random effect estimates for models of receiving HIV education, pooled Migrants Population Dynamic Monitoring Survey Data 2014–2015

 Intercept,γ₀₀

1.026

1.020–1.032

.000

2.953

2.748–3.173

.000

4.635

4.045–5.310

.000

 Age,β_1j

.992

.992–.993

.000

.989

.989–.990

.000

 Male (compared to female),β_2j

1.043

1.029–1.057

.000

1.051

1.037–1.065

.000

 Minority (compared to Han),β_3j

1.344

1.314–1.378

.000

1.150

1.122–1.178

.000

 Married (compared to otherwise),β_4j

1.039

1.020–1.057

.000

1.088

1.068–1.107

.000

 College or above (compared to otherwise),β_5j

1.116

1.103–1.131

.000

1.108

1.094–1.122

.000

 Monthly income,β_6j

1.093

1.079–1.107

.000

1.139

1.124–1.153

.000

 Having health record (compared to having no health record),β_7j

1.962

1.934–1.988

.000

1.937

1.908–1.965

.000

 Having basic medical insurance (compared to having no basic medical insurance),β_8j

1.136

1.115–1.156

.000

1.176

1.154–1.198

.000

 Urban Household, β_9j

1.024

1.005–1.044

.016

.983

.964–1.002

.076

 Reason of migration: working or studying (compared to otherwise),β_10j

1.105

1.089–1.121

.000

1.112

1.095–1.129

.000

 Length of migration,β_11j

.996

.995–.998

.000

.914

.901–.928

.000

 Having long-term preference over 5 years (compared to having no long-term preference over 5 year),β_12j

1.137

1.115–1.156

.000

1.068

1.058–1.078

.000

 Prevalence of HIV (total number per 100,000 population),γ₀₁

1.009

1.008–1.009

.000

 Density of medical professionals (total number per 1000 population),γ₀₂

.906

.885–.928

.000

 Density of migrants (total number per 100,000),γ₀₃

1.000

.999–1.001

.629

 Intercept variance, \( {\sigma}_u^2 \)

 Level 1 variance, \( {\sigma}_e^2 \)

 -2LL