Table 1.

Effect of demographic variables on clusters

	Cluster 1 (n = 30) Church-going respondents	Cluster 2 (n = 14) Infrequently church-going respondents	Cluster 3 (n = 22) Atheists	Cluster 4 (n = 29) Doubters	Test statistic
Gender					$x_3^2=2$, P = 0.61
Male	72% (21)	64% (9)	55% (12)	66% (19)
Female	28% (8)	36% (5)	45% (10)	34% (10)
Age	41 49 57 (48 ± 11)	40 48 52 (47 ± 7)	38 42 48 (43 ± 7)	37 48 50 (45 ± 9)	F3,89 = 1, P = 0.32
Years of experience	4 6 12 (8 ± 5)	5 7 8 (7 ± 3)	5 6 10 (7 ± 3)	4 6 10 (7 ± 4)	F3,86 = 0.2, P = 0.92

a b c represent the lower quartile a, the median b, and the upper quartile c for continuous variables. x ± s represents X ± 1 SD. Numbers after percents are frequencies. Tests used:

¹Pearson test

²Kruskal-Wallis test