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Table 3 Variance components model with a random intercepts and random coefficient examining the determinants of MCU, TDHS, 2015/2016

From: Application of variance components to the identification of determinants of modern contraceptive use in the Tanzania demographic and health survey data

Fixed part

Random intercept Model 3

Random coefficient Model 3

OR (95%CI)

OR (95%CI)

Age in years groups

 15–19

  

 20–29

1.94 (1.244;3.024)

1.95 (1.261; 3.009)

 30–39

2.28 (1.372; 3.803)

2.29 (1.379; 3.809)

 40–49

1.41 (0.819; 2.432)

1.40 (0.810; 2.409)

Woman educational levels

 Never

  

 Primary

1.22 (0.985; 1.507)

1.20 (0.963; 1.488)

 Secondary + 

1.08 (0.776; 1.497)

1.06 (0.765; 1.477)

Parity

 None

  

 One to two

1.39 (0.471; 4.111)

1.39 (0.464; 4.140)

 Three to four

1.45 (0.484; 4.335)

1.45 (0.478; 4.383)

 Five + 

1.40 (0.443; 4.403)

1.39 (0.436; 4.454)

Place of resident

 Urban

  

 Rural

1.10 (0.848; 1.429)

1.12 (0.863; 1.442)

Husband desire for children

 Don’t knows

  

 Both want same

0.82 (0.691; 0.972)

0.82 (0.686; 0.972)

 Husband desire more

0.64 (0.489; 0.850)

0.65 (0.493; 0.865)

 Husband desire less

0.84 (0.644; 1.097)

0.83 (0.630; 1.098)

Age difference with man

 Woman older than man

  

 Same age level

1.16 (0.779; 1.717)

1.17 (0.780; 1.763)

 Man old for 10-

0.83 (0.646; 1.065)

0.83 (0.642; 1.070)

 Man old for 10 + 

0.73 (0.536; 1.003)

0.73 (0.535; 1.006)

Husband education level

 No education

  

 Primary education

1.58 (1.232; 2.019)

1.52 (1.174; 1.980)

 Secondary and higher

1.36 (0.929; 1.981)

1.34 (0.921;1.939)

Wealth tertiles

 Poor

  

 Middle

1.57 (1.260; 1.949)

1.60 (1.284;1.987)

 Rich

2.14 (1.617; 2.826)

2.18 (1.632; 2.923)

Exposure to media

 Not exposed

  

 Exposed to at least one

1.05 (0.763; 1.451)

1.05 (0.759; 1.445)

 Exposed to at least two

1.39 (1.091; 1.770)

1.38 (1.087; 1.747)

 Exposed to all

1.54 (1.189; 2.002)

1.54 (1.187; 1.988)

Random part

\({\updelta }_{\mathrm{u}0}^{2}=\) Variance \({ (\mathrm{u}}_{0\mathrm{j})}\))

0.360 (0.193; 0.671)

0.718 (0.413;1.248)

\({\updelta }_{\mathrm{u}1}^{2}\)\(=\) Variance (\({\mathrm{u}}_{0\mathrm{k}}\))

0.341 (0.215; 0.541)

0.381 (0.191; 0.762)

\({\delta }_{u01}^{2}=\mathrm{Var}-\mathrm{Cov}\)(\({\mathrm{u}}_{01, }{\mathrm{u}}_{0\mathrm{j}}\))

 

0.137 (0.049; 0.377)

\({\updelta }_{\mathrm{u}11}^{2}=\mathrm{Var}-\mathrm{Cov}\)(\({\mathrm{u}}_{11, }{\mathrm{u}}_{0\mathrm{k}}\))

 

0.022 (0.002; 0.206)

 ICC (region)

0.090 (0.050; 0.156)

0.087 (0.045; 0.161)

 ICC (PSU)

0.176 (0.127; 0.237)

0.251 (0.179; 0.338)

 AIC

6590.534

6577.618

 BIC

6754.309

6761.046

Loglikelihood

-3270.2668

-3260.809