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

Language Testing in Asia

Table 4 ANOVA statistics for comparison of LR difference by words in L1 and L2

LR measure		L1			L2		t test
LR measure	Mean	SD	NSD	Mean	SD	NSD	p	CI
Type	499.39	53.53	0.10	291.37	88.63	0.31	0.00	(167.31,	247.06)
Token	1639.21	232.66	0.13	1284.20	494.78	0.39	0.00	(142.78,	564.88)
TTR	0.32	0.03	0.11	0.24	0.05	0.21	0.00	(0.05,	0.09)
RootTTR	12.78	1.08	0.09	8.27	1.40	0.17	0.00	(3.52,	4.88)
LogTTR	0.85	0.01	0.02	0.80	0.02	0.03	0.00	(0.04,	0.06)
D	114.21	21.27	0.19	45.27	16.53	0.37	0.00	(58.31,	79.57)
Uber	32.80	3.55	0.11	22.10	3.56	0.16	0.00	(8.74,	12.67)
V₁	278.84	36.78	0.13	140.14	43.59	0.31	0.00	(116.52,	160.87)
V₂	89.28	12.12	0.14	52.32	17.46	0.33	0.00	(28.73,	45.19)
V₁TR	0.17	0.02	0.14	0.12	0.06	0.53	0.00	(0.02,	0.08)
V₂TR	0.06	0.01	0.15	0.05	0.02	0.53	0.05	(0.00,	0.02)
Honore	1677.78	99.82	0.06	1368.76	137.18	0.10	0.00	(243.27,	374.77)
Sichel	0.18	0.02	0.11	0.18	0.02	0.14	0.87	(− 0.01,	0.01)
E	5.00	0.58	0.12	4.71	0.33	0.07	0.03	(0.03,	0.56)
RE	0.68	0.07	0.10	0.67	0.04	0.06	0.32	(− 0.02,	0.05)
YuleK	115.53	46.66	0.40	243.69	123.98	0.51	0.00	(− 179.34,	− 76.97)
YuleI	101.51	42.17	0.42	51.13	22.55	0.44	0.00	(31.21,	69.55)
V_m	0.01	0.00	0.46	0.02	0.01	0.56	0.00	(− 0.02,	− 0.01)