Exploratory Factor Analysis for Validating Traditional Chinese Syndrome Patterns of Chronic Atrophic Gastritis

Table 3

Characteristic root values and variance contribution rate of common factors.

Common factor	Initial characteristic root value			Variance extraction load			Variance load after rotation
	Characteristic root value	Variance contribution rate (%)	Cumulative variance contribution rate (%)	Characteristic root value	Variance contribution rate (%)	Cumulative variance contribution rate (%)	Characteristic root value	Variance contribution rate (%)	Cumulative variance contribution rate (%)
1	3.830	9.576	9.576	3.830	9.576	9.576	1.988	4.970	4.970
2	3.382	8.454	18.030	3.382	8.454	18.030	1.903	4.756	9.726
3	2.832	7.080	25.110	2.832	7.080	25.110	1.107	2.768	12.494
4	2.507	6.268	31.378	2.507	6.268	31.378	1.035	2.588	15.082
5	2.132	5.330	36.708	2.132	5.330	36.708	1.028	2.570	17.651
6	1.987	4.967	41.675	1.987	4.967	41.675	1.027	2.568	20.219
7	1.671	4.176	45.852	1.671	4.176	45.852	1.027	2.567	22.786
8	1.575	3.937	49.789	1.575	3.937	49.789	1.026	2.566	25.352
9	1.443	3.608	53.396	1.443	3.608	53.396	1.025	2.564	27.915
10	1.296	3.239	56.636	1.296	3.239	56.636	1.025	2.562	30.478
11	1.262	3.155	59.791	1.262	3.155	59.791	1.022	2.556	33.034
12	1.218	3.044	62.836	1.218	3.044	62.836	1.018	2.546	35.580
13	1.106	2.765	65.601	1.106	2.765	65.601	1.018	2.546	38.126
14	1.055	2.638	68.239	1.055	2.638	68.239	1.018	2.544	40.669
15	1.022	2.556	70.795	1.022	2.556	70.795	1.017	2.542	43.212
16	.956	2.391	73.186	.956	2.391	73.186	1.017	2.542	45.754
17	.852	2.130	75.316	.852	2.130	75.316	1.017	2.541	48.295
18	.810	2.025	77.341	.810	2.025	77.341	1.014	2.536	50.831
19	.805	2.013	79.354	.805	2.013	79.354	1.014	2.534	53.365
20	.774	1.934	81.288	.774	1.934	81.288	1.011	2.527	55.892
21	.696	1.740	83.028	.696	1.740	83.028	1.008	2.520	58.412
22	.666	1.665	84.693	.666	1.665	84.693	1.007	2.517	60.929
23	.624	1.560	86.253	.624	1.560	86.253	1.005	2.512	63.441
24	.591	1.476	87.729	.591	1.476	87.729	1.004	2.509	65.950
25	.526	1.315	89.044	.526	1.315	89.044	1.002	2.504	68.455
26	.495	1.239	90.283	.495	1.239	90.283	1.001	2.502	70.957
27	.451	1.127	91.410	.451	1.127	91.410	1.001	2.502	73.459
28	.437	1.093	92.503	.437	1.093	92.503	.997	2.493	75.952
29	.421	1.053	93.555	.421	1.053	93.555	.997	2.492	78.444
30	.351	.878	94.433	.351	.878	94.433	.993	2.482	80.926
31	.336	.839	95.272	.336	.839	95.272	.981	2.453	83.379
32	.323	.807	96.079	.323	.807	96.079	.975	2.439	85.817
33	.294	.734	96.813	.294	.734	96.813	.965	2.413	88.230
34	.257	.643	97.456	.257	.643	97.456	.959	2.397	90.627
35	.236	.589	98.044	.236	.589	98.044	.935	2.337	92.964
36	.212	.529	98.574	.212	.529	98.574	.907	2.267	95.232
37	.194	.484	99.058	.194	.484	99.058	.863	2.159	97.390
38	.157	.392	99.451	.157	.392	99.451	.767	1.918	99.308
39	.139	.348	99.798	.139	.348	99.798	.184	.459	99.767
40	.081	.202	100.000	.081	.202	100.000	.093	.233	100.000

Note. Extraction method: principal component analysis. Rotation method: Kaiser standardized orthogonal. Rotation was converged after 20 iterations.