How effective are lexical richness measures for differentiations of vocabulary proficiency? A comprehensive examination with clustering analysis

Language Testing in Asia

Table 3 ANOVA statistics for comparison of LR difference by characters in L1 and L2

LR measure		L1			L2		t test
LR measure	Mean	SD	NSD	Mean	SD	NSD	p	CI
Type	517.53	48.24	0.09	314.27	85.36	0.28	0.00	(165.15,	240.88)
Token	2483.39	378.38	0.14	1772.87	675.14	0.39	0.00	(411.04,	1008.66)
TTR	0.21	0.03	0.12	0.18	0.04	0.24	0.02	(0.00,	0.04)
RootTTR	10.52	0.83	0.08	7.49	1.07	0.15	0.00	(2.37,	3.42)
LogTTR	0.84	0.01	0.02	0.76	0.02	0.03	0.00	(0.02,	0.04)
D	69.70	13.16	0.19	35.80	10.49	0.29	0.00	(27.27,	40.54)
Uber	25.12	2.16	0.09	19.51	2.43	0.12	0.00	(4.34,	6.87)
V₁	194.60	28.24	0.15	117.29	33.66	0.29	0.00	(60.23,	94.39)
V₂	95.84	14.07	0.15	56.29	18.56	0.33	0.00	(30.52,	48.59)
V₁TR	0.08	0.02	0.20	0.07	0.02	0.31	0.11	(0.00,	0.02)
V₂TR	0.04	0.01	0.18	0.03	0.01	0.35	0.06	(0.00,	0.01)
Honore	1254.49	69.96	0.06	1186.49	90.18	0.08	0.00	(23.71,	112.28)
Sichel	0.19	0.02	0.13	0.18	0.03	0.17	0.35	(− 0.01,	0.02)
E	5.48	0.14	0.02	4.87	0.27	0.06	0.00	(0.49,	0.72)
RE	0.70	0.02	0.03	0.66	0.03	0.05	0.00	(0.03,	0.06)
YuleK	92.34	17.77	0.19	173.88	72.09	0.41	0.00	(− 110.27,	− 52.81)
YuleI	111.92	20.10	0.18	66.41	23.87	0.36	0.00	(33.38,	57.65)
V_m	0.01	0.00	0.22	0.01	0.01	0.47	0.00	(− 0.01,	0.00)