Table 4.

Matching Quality Checks.

Outcome Variable	Matching Algorithm	Sample	Pseudo $R^2$	LR ${\chi }^2$	${P>\chi }^2$	Mean Bias	Median Bias
Community education	Nearest neighbour (NNM)	Unmatched	.115	174.270	.000	16.300	13.700
		Matched	.013	7.610	1.000	3.500	2.600
	Kernel (KM)	Unmatched	.115	174.270	.000	16.300	13.700
		Matched	.231	12.970	.989	5.300	4.400
	Radius (RM)	Unmatched	.115	174.270	.000	16.300	13.700
		Matched	.139	22.260	.724	8.100	7.000
Media message	Nearest neighbour (NNM	Unmatched	.135	583.05	.000	16.400	9.700
		Matched	.005	17.16	.927	2.500	2.300
	Kernel (KM)	Unmatched	.135	583.05	.000	16.400	9.700
		Matched	.017	64.59	.211	5.300	5.000
	Radius (RM)	Unmatched	.135	583.05	.000	16.400	9.700
		Matched	.003	9.76	.999	1.900	1.700
Both mediums	Nearest neighbour (NNM)	Unmatched	.230	239.64	.000	21.900	20.700
		Matched	.014	5.840	1.000	4.000	2.800
	Kernel (KM)	Unmatched	.230	239.640	.000	21.900	20.700
		Matched	.037	14.670	.930	7.200	7.200
	Radius (RM)	Unmatched	.230	239.640	.000	21.900	20.700
		Matched	.018	7.4000	1.000	4.600	4.500

Source: Authors’ computation based on data from MIC 2016.