SPSS分组导致做不出One-way ANOVA 是怎么回事？

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收藏 2013-08-30

我要做9个产业每个产业含3个公司的ONE-Way-ANOVA差异性检定
数据如下：放进SPSS后我分了下组，用数字代表产业。结果当我进行one way ANOVA 时，提示错误为：There are fewer than two groups for dependent variable ****(Cash,equity等) in split file industries=1（或2,3..）。No statistics are computed

请问这是怎么回事呢？该怎么解决？

industries	Cash	Equity	ROE	ROA	Debt	Assets	Lnassets	M/B	Age	Tenure	Gender	Chairman	duality	change
1	0.7396	0.2604	1.82	0.83	12.11	4334000	15.282	2.31	55	4	1	0	0	0
1	0.9685	0.0315	12.15	8.45	5.82	140600	11.85367	1.31	53	3.5	1	0	1	0
1	0.859	0.141	3.83	3.57	8.4	124146	11.72921	0.92	59	26.5	1	1	1	0
2	0.8963	0.1037	21.91	9.12	7.11	1304000	14.08095	3.21	53	5.75	1	0	0	0
2	0.5646	0.4354	15.05	6.92	31.55	546920	13.21206	1.61	50	5.5	1	0	0	0
2	0.9396	0.0604	-12.02	2.9	16.1	382449	12.85435	0.89	60	4.5	1	0	0	0
3	0.2448	0.7552	13.01	4.17	19.23	11424700	16.25129	1.56	67	25.5	1	1	1	0
3	0.8658	0.1342	16.8	6.93	20.55	459500	13.03789	1.81	55	0.75	1	0	0	1
3	0.8932	0.1068	9.47	4.59	28.56	24123	10.09092	1.69	56	10.5	1	0	0	0
4	0.2665	0.7335	9.04	5.42	25.16	20025000	16.81249	1.27	50	4	1	0	0	0
4	0.9256	0.0744	31.08	12.88	37.17	191000	12.16003	3.99	44	2.25	0	0	0	1
4	0.8794	0.1206	121.08	10.93	44.96	4531000	15.32645	-64.67	47	4	1	0	0	0
5	0.2962	0.7038	20.63	10.63	19.22	1643000	14.31203	3.49	54	8	1	0	0	0
5	0.9749	0.0251	28.2	13.54	2.24	191265	12.16142	3.29	56	5.5	1	0	0	0
5	1	0	8.7	2.74	0	25994	10.16562	0.92	55	1.75	1	0	0	1
6	0.6168	0.3832	17.65	4.62	57.02	838900	13.63985	4.97	50	4.75	1	0	0	0
6	0.8405	0.1595	18.47	7.92	4.02	840400	13.64163	1.14	51	6.75	1	0	0	0
6	0.8931	0.1069	17.94	6.04	58.37	719900	13.48687	2.59	55	1.25	1	0	0	1
7	0.768	0.232	7.34	6.51	0	2300900	14.64881	1.06	45	7	1	0	0	1
7	0.8243	0.1757	15.24	9.86	10.96	144846	11.88343	1.48	43	9	1	0	0	1
7	0.8373	0.1627	12.11	2.97	6.74	98900	11.50186	0.3	53	11.25	1	0	0	0
8	0.4979	0.5021	73.87	13.15	46.82	13692000	16.43232	12.52	47	4.25	1	0	0	0
8	0.9328	0.0672	3.59	2.94	0	174300	12.06853	2.43	51	7.75	0	0	0	0
8	0.8867	0.1133	15.68	9.25	28.63	51348	10.84638	2.37	43	4.5	1	0	0	0
9	0.8398	0.1602	12.56	12.42	0.42	664000	13.40604	6.61	50	12	1	0	0	1
9	1	0	14.3	4.63	1.78	893901	13.70335	1.42	50	18.5	1	0	0	0
9	0.9229	0.0771	-15.35	-2.75	0	68328	11.13207	3.06	52	3.5	1	0	0	0