TABLE 4.

Distribution of clusters by demographic variables.

	Cluster
Source	1	%	2	%	3	%	4	%	5	%	6	%
Sex [χ2(5,1062) = 52.07†]
Male (n = 386)	111†+	28.8	38	9.8	71	18.4	27†–	7.0	55	14.2	84§+	21.8
Female (n = 676)	103†–	15.2	92	13.6	154	22.8	110†+	16.3	117	17.3	100§–	14.8
Age band [χ2(20,1062) = 80.13†]
≤25 years (n = 243)	31†–	12.8	39*+	16.0	52	21.4	36	14.8	27*–	11.1	58§ +	23.9
26-35 years (n = 263)	41*–	15.6	37	14.1	58	22.1	35	13.3	43	16.3	49	18.6
36-45 years (n = 232)	39	16.8	30	12.9	61*+	26.3	28	12.1	40	17.2	34	14.7
46-55 years (n = 167)	41	24.6	15	9.0	31	18.6	21	12.6	39§+	23.4	20	12.0
≥56 years (n = 157)	62†+	39.5	9§–	5.7	23*–	14.6	17	10.8	23	14.6	23	14.6
Education level [χ2(15,1062) = 28.99*]
≤High school (n = 238)	43	18.1	32	13.4	51	21.4	36	15.1	41	17.2	35	14.7
TAFE1/Trade (n = 197)	29*–	14.7	34*+	17.3	41	20.8	32	16.2	31	15.7	30	15.2
University (n = 316)	56	17.7	36	11.4	73	23.1	35	11.1	52	16.5	64	20.3
Postgraduate (n = 311)	86†+	27.7	28*–	9.0	60	19.3	34	10.9	48	15.4	55	17.7

1, Iceberg; 2, Inverse Everest; 3, Inverse Iceberg; 4, Shark Fin; 5, Submerged; 6, Surface; ⁺, over-represented, ^–, under-represented; ^†p < 0.001; ^§p < 0.01; *p < 0.05; ¹TAFE, Technical and Further Education.