Fixed effects Model 1 Model 2 P-value Model 3 P-value Model 4 P-value
Age group              
15-19   Ref (0)   Ref (0)   Ref (0)  
20-24   1.9262 (.1285) 0.000 2.0146 (.1462) 0.000 1.9916 (.1443) 0.000    
25-29   1.8252 (.1322) 0.000 1.7903 (.1406) 0.000 1.7688 (.1385) 0.000    
30-34   1.6209 (.1334) 0.000 1.6409 (.1474) 0.000 1.6165 (.1448) 0.000    
35-39   1.3888 (.1167) 0.000 1.4086 (.1298) 0.000 1.3836 (.1270) 0.000    
40-44   1.1360 (.1085) 0.182 1.0791 (.1127) 0.466  1.0593 (.1103) 0.580
45-49   .8529 (.0879) 0.123 .8576 (.0964) 0.172 .8398 (.0941) 0.120
50-54   - - - - - -
55-59   - - - - - -
Place of residence              
Rural   Ref (0)   Ref (0)   Ref (0)  
Urban   2.3337 (.3073) 0.000 1.4972 (.1875) 0.001 1.4830 (.1857) 0.002
Education level              
No education   Ref (0)   Ref (0)   Ref (0)  
Primary   2.3076 (.1208) 0.000 1.6785 (.1013) 0.000 1.6854 (.1004) 0.000
Secondary   3.7547 (.3261) 0.000 2.0280 (.1893) 0.000 2.0401 (.1880) 0.000
Higher   5.0011 (.5296) 0.000 2.6474 (.2955) 0.000 2.6364 (.2913) 0.000
Religion              
Christian   Ref (0)   Ref (0)   Ref (0)  
Muslim   1.0461 (.0736) 0.522 1.0516 (.0798) 0.508 - -
Others   .4702 (.1077) 0.001 .5127 (.1256) 0.006 - -
Ethnicity              
Tigrean   Ref (0)   Ref (0)   Ref (0)  
Affar   .3420 (.0888) 0.000 .4594 (.1266) 0.005 .4865 (.1329) 0.008
Amara   .7736 (.1226) 0.105 .7178 (.1165) 0.041 .7225 ( .1173) 0.045
Guragie   .6649 (.1250) 0.030 .5761 (.1097) 0.004 .5986 ( .1132)  0.007
Somalie   .3192 (.0798) 0.000 .3453 (.0899) 0.000 .3670 (  .0945) 0.000
Sidama   .2741 (.0817) 0.000 .3409 (.0999) 0.000 3522 ( .1033)    0.000
Oromo   .5457 (.0902) 0.000 .5796 (.0982) 0.001 .5964 ( .1006) 0.002
Nuwer   .1135 (.0400) 0.000 .2593 (.0899) 0.000 .2601 ( .0903) 0.000
Welaiyta   .4996 (.1233) 0.005 .4630 (.1164) 0.002 .4754 ( .1195) 0.003
Others   .4873 (.0821) 0.000 .5480 (.0943) 0.000 .5520 ( .0948) 0.001
Wealth Index              
Poorest   Ref (0)   Ref (0)   Ref (0)  
Poorer   1.3315 (.1020) 0.000 1.2509 (.1085) 0.010 1.2694 ( .1097) 0.006
Middle   1.6265 (.1291) 0.000 1.4386 (.1286) 0.000 1.4736 (.1310) 0.000
Richer   2.0081 (.1629) 0.000 1.5903 (.1449) 0.000 1.6326 ( .1476) 0.000
Richest   2.6473 (.2874) 0.000 1.7771 (.2136) 0.000 1.8394 ( .2193) 0.000
Marital status              
Not married   Ref (0)   Ref (0)   Ref (0)  
Divorced   2.6632 (.2622) 0.000 2.6329 (.2853) 0.000 2.6293 (.2845) 0.000
Widowed   2.2875 (.2835) 0.000 2.1413 (.2899) 0.000 2.1297 (.2883) 0.000
Married   2.4906 (.1544) 0.000 2.4681 (.1637) 0.000 2.4700 (.1635) 0.000
HIV related knowledge              
Low       Ref (0)   Ref (0)  
High       .9015 (.0652) 0.152 - -
comprehensive       .8867 (.0654) 0.103 - -
HIV  related  stigma              
No stigma       Ref (0)   Ref (0)  
Low       .9115 (.0552) 0.127 .9144 (.0553) 0.139
Moderate       .6176 (.0407) 0.000 .6176 (.0403) 0.000
High       .6325 (.0937) 0.002 .6420 (.0943) 0.003
HIV risky behaviour              
No risk       Ref (0)      
Some risk       .9203 (.0489) 0.118 - -
High       .8542 (.0762) 0.078 - -
Media exposure              
No       Ref (0)   Ref (0)  
Yes       1.0693 (.0651) 0.271 1.4705 (.0782) 0.000
Heard Family planning on  Mass Media              
 No       Ref (0)   Ref (0)  
Yes        1.4370 (.0807) 0.000 1.4705 (.0782) 0.000
Knowing Place for HIV test              
No        Ref (0)   Ref (0)  
Yes        1891.14 (1340)   0.000 1875.2 (1328.6) 0.000
Random effects Model 1 Model 2   Model 3   Model  4  
Region   1.1608 (.5173)** .7241 (.0636)**   .2679 (.1354)**   .2733
(.1373)**
 
Cluster 1.4636 (.1127)** .7241 (.0636)**   .4678 (.0505)**   .4764
(.0510)**
 
Residual  3.27 3.27   3.27   3.27  
Model Fit Statistics Model 1 Model 2   Model 3   Model 4  
Deviance 18420.45 18085.76   14948.03   13612.16  
AIC 18426.45 18096.89   14959.04   13680.17  
BIC 18449.59 18343.68   15304.48   13942.38  
N.B:
Model 1: Represents random intercept model i.e. an empty model
Model 2: A multilevel multiple logistic model that consists socio-demographic and economic variables
Model 3: A multilevel logistic model included both socioeconomic characteristics and HIV related knowledge, stigma, risky social behaviour, media exposure, heard family planning and knowing place where to get test for HIV.
Model 4: The final multilevel logistic model with significant predictors associated with HIV testing
Table 12: Parameters and standard errors of multiple multilevel model predicting the probability of ever been tested for HIV with random intercept and fixed slope among women, Ethiopia (S.E.s are placed in parentheses).