两因素中简单效应分析怎么做

垂耳兔 · 发表于 2013-3-13 22:58:50

两因素方差分析以后，想在F1这个因素的四个水平上对F2得到的数据进行两两比较，虽然查了些资料，但是还是不知道该怎样做这个简单效应分析，我自己试了试，还是没弄明白，连结果都看不懂......数据就列在下面了，请各位高手帮忙指点一下，在SPSS中应该如何做？结果应该怎样看？如果能够帮忙把结果做出来那更是不胜感激。
F1 F2 N
1.0 1.0 -6.0
1.0 1.0 0.7781512503836436
1.0 1.0 0.6989700043360189
1.0 1.0 -3.0
1.0 1.0 -3.0
1.0 1.0 -6.0
1.0 1.0 -6.0
1.0 1.0 -6.0
1.0 1.0 -6.0
1.0 2.0 1.0791812460476249
1.0 2.0 1.1760912590556813
1.0 2.0 1.146128035678238
1.0 2.0 0.0
1.0 2.0 0.3010299956639812
1.0 2.0 0.0
1.0 2.0 0.0
1.0 2.0 -6.0
1.0 2.0 -6.0
1.0 3.0 -6.0
1.0 3.0 -6.0
1.0 3.0 -6.0
1.0 3.0 -6.0
1.0 3.0 -6.0
1.0 3.0 -6.0
1.0 3.0 -6.0
1.0 3.0 -6.0
1.0 3.0 -6.0
1.0 4.0 2.0
1.0 4.0 1.7781512503836436
1.0 4.0 1.954242509439325
1.0 4.0 1.4771212547196624
1.0 4.0 1.0
1.0 4.0 1.0
1.0 4.0 -6.0
1.0 4.0 -6.0
1.0 4.0 -6.0
1.0 5.0 1.9030899869919435
1.0 5.0 1.0
1.0 5.0 -6.0
1.0 5.0 1.3010299956639813
1.0 5.0 -6.0
1.0 5.0 -6.0
1.0 5.0 1.0
1.0 5.0 1.954242509439325
1.0 5.0 1.3010299956639813
1.0 6.0 2.113943352306837
1.0 6.0 2.113943352306837
1.0 6.0 1.3424226808222062
1.0 6.0 1.0413926851582251
1.0 6.0 2.0
1.0 6.0 1.954242509439325
1.0 6.0 2.2041199826559246
1.0 6.0 2.0791812460476247
1.0 6.0 2.1760912590556813
2.0 1.0 5.0
2.0 1.0 5.0
2.0 1.0 5.0
2.0 1.0 -6.0
2.0 1.0 -6.0
2.0 1.0 -6.0
2.0 1.0 -6.0
2.0 1.0 -6.0
2.0 1.0 -6.0
2.0 2.0 6.477121254719663
2.0 2.0 6.778151250383644
2.0 2.0 6.0
2.0 2.0 6.0
2.0 2.0 6.477121254719663
2.0 2.0 -6.0
2.0 2.0 -6.0
2.0 2.0 -6.0
2.0 2.0 -6.0
2.0 3.0 8.372912002970107
2.0 3.0 8.307496037913213
2.0 3.0 8.301029995663981
2.0 3.0 8.369215857410143
2.0 3.0 8.344392273685111
2.0 3.0 8.401400540781545
2.0 3.0 8.324282455297693
2.0 3.0 8.320146286111054
2.0 3.0 8.340444114840118
2.0 4.0 6.954242509439325
2.0 4.0 7.380211241711606
2.0 4.0 6.845098040014257
2.0 4.0 7.113943352306837
2.0 4.0 6.903089986991944
2.0 4.0 7.079181246047625
2.0 4.0 6.954242509439325
2.0 4.0 6.778151250383644
2.0 4.0 7.041392685158225
2.0 5.0 8.540329474790873
2.0 5.0 8.56702636615906
2.0 5.0 8.593286067020458
2.0 5.0 8.571708831808687
2.0 5.0 8.506505032404872
2.0 5.0 8.558708570533165
2.0 5.0 8.547774705387823
2.0 5.0 8.489958479424836
2.0 5.0 8.58206336291171
2.0 6.0 8.625312450961674
2.0 6.0 8.640481436970422
2.0 6.0 8.61066016308988
2.0 6.0 8.614897216033135
2.0 6.0 8.636487896353366
2.0 6.0 8.602059991327963
3.0 1.0 4.146128035678238
3.0 1.0 4.041392685158225
3.0 1.0 4.698970004336019
3.0 1.0 4.342422680822207
3.0 1.0 4.301029995663981
3.0 1.0 4.447158031342219
3.0 1.0 4.477121254719663
3.0 1.0 4.6127838567197355
3.0 1.0 4.643452676486188
3.0 2.0 3.7781512503836434
3.0 2.0 3.6020599913279625
3.0 2.0 3.4771212547196626
3.0 2.0 -6.0
3.0 2.0 3.0
3.0 2.0 3.6020599913279625
3.0 2.0 3.3010299956639813
3.0 2.0 -6.0
3.0 2.0 -6.0
3.0 3.0 5.477121254719663
3.0 3.0 5.477121254719663
3.0 3.0 6.113943352306837
3.0 3.0 5.6020599913279625
3.0 3.0 5.477121254719663
3.0 3.0 5.0
3.0 3.0 5.301029995663981
3.0 3.0 -6.0
3.0 3.0 -6.0
3.0 4.0 7.238046103128795
3.0 4.0 7.146128035678238
3.0 4.0 7.209515014542631
3.0 4.0 7.133538908370218
3.0 4.0 7.278753600952829
3.0 4.0 7.267171728403014
3.0 4.0 7.269512944217916
3.0 4.0 7.123851640967086
3.0 4.0 7.209515014542631
3.0 5.0 6.3222192947339195
3.0 5.0 6.361727836017593
3.0 5.0 6.2552725051033065
3.0 5.0 6.414973347970818
3.0 5.0 6.278753600952829
3.0 5.0 6.342422680822207
3.0 5.0 6.380211241711606
3.0 5.0 6.204119982655925
3.0 5.0 6.3979400086720375
3.0 6.0 8.212187604403958
3.0 6.0 8.02530586526477
3.0 6.0 8.089905111439398
3.0 6.0 8.198657086954423
3.0 6.0 8.227886704613674
4.0 1.0 4.008600171761918
4.0 1.0 4.232996110392154
4.0 1.0 3.9590413923210934
4.0 1.0 4.136720567156407
4.0 1.0 4.195899652409234
4.0 1.0 4.02530586526477
4.0 1.0 4.431363764158987
4.0 1.0 4.589949601325708
4.0 1.0 4.608526033577194
4.0 2.0 2.0
4.0 2.0 2.0
4.0 2.0 -6.0
4.0 2.0 2.4771212547196626
4.0 2.0 2.3010299956639813
4.0 2.0 2.3010299956639813
4.0 2.0 3.041392685158225
4.0 2.0 2.3010299956639813
4.0 2.0 2.3010299956639813
4.0 3.0 -6.0
4.0 3.0 -6.0
4.0 3.0 3.0
4.0 3.0 -6.0
4.0 3.0 -6.0
4.0 3.0 3.0
4.0 3.0 3.6989700043360187
4.0 3.0 3.3010299956639813
4.0 3.0 -6.0
4.0 4.0 -6.0
4.0 4.0 -6.0
4.0 4.0 3.3010299956639813
4.0 4.0 3.0
4.0 4.0 3.3010299956639813
4.0 4.0 -6.0
4.0 4.0 3.0
4.0 4.0 3.3010299956639813
4.0 4.0 3.0
4.0 5.0 3.6020599913279625
4.0 5.0 3.4771212547196626
4.0 5.0 3.6020599913279625
4.0 5.0 3.3010299956639813
4.0 5.0 3.7781512503836434
4.0 5.0 3.845098040014257
4.0 5.0 4.361727836017593
4.0 5.0 4.491361693834273
4.0 5.0 4.278753600952829
4.0 6.0 -6.0
4.0 6.0 5.0
4.0 6.0 5.301029995663981
4.0 6.0 -6.0
4.0 6.0 5.0