SPSS典型相关分析结果解读
Correlations for Set-1
Y1Y2Y3
Y1 1.0000.9983.5012
Y2.9983 1.0000.5176
Y3.5012.5176 1.0000
第一组变量间的简单相关系数
Correlations for Set-2
X1X2X3X4X5X6X7X8X9X10X11X12X13 X1 1.0000-.3079-.7700-.7068-.6762-.7411-.7466-.5922-.1948-.1285-.2650-.9070-.6874 X2-.3079 1.0000-.0117.0103-.0613-.0283-.0140.3333.4161.3810.3831.1098-.0640 X3-.7700-.0117 1.0000.9905.9860.9973.9990.5892.0421-.0196.2492.9515.9903 X4-.7068.0103.9905 1.0000.9910.9935.9952.5634.0249-.0367.2476.9120.9953 X5-.6762-.0613.9860.9910 1.0000.9887.9912.5717.0363-.0277.2475.8972.9926 X6-.7411-.0283.9973.9935.9887 1.0000.9985.5563.0142-.0453.2210.9355.9950 X7-.7466-.0140.9990.9952.9912.9985 1.0000.5795.0319-.0298.2441.9390.9945 X8-.5922.3333.5892.5634.5717.5563.5795 1.0000.7097.6540.8990.6619.5138 X9-.1948.4161.0421.0249.0363.0142.0319.7097 1.0000.9922.8520.1350-.0228 X10-.1285.3810-.0196-.0367-.0277-.0453-.0298.6540.9922 1.0000.8184.0752-.0801 X11-.2650.3831.2492.2476.2475.2210.2441.8990.8520.8184 1.0000.3093.1840 X12-.9070.1098.9515.9120.8972.9355.9390.6619.1350.0752.3093 1.0000.9040 X13-.6874-.0640.9903.9953.9926.9950.9945.5138-.0228-.0801.1840.9040 1.0000
Correlations Between Set-1and Set-2
X1X2X3X4X5X6X7X8X9X10X11X12X13 Y1-.7542-.0147.9995.9940.9892.9989.9998.5788.0334-.0280.2426.9430.9937 Y2-.7280-.0234.9965.9958.9954.9977.9988.5859.0485-.0136.2573.9285.9949 Y3-.4485.2952.5096.4955.5230.4760.5048.9695.7610.7071.9073.5449.4500
Canonical Correlations
1 1.000
2 1.000
3 1.000
第一对典型变量的典型相关系数为CR1=1.....二三
Test that remaining correlations are zero:维度递减检验结果降维检验
Wilk's Chi-SQ DF Sig.
1.000.000.000.000
2.000.00024.000.000
3.000103.48911.000.000
此为检验相关系数是否显著的检验，原假设：相关系数为0，每行的检验都是对此行及以后各行所对应的典型相关系数的多元检验。第一行看出，第一对典型变量的典型相关系数不是0的，相关性显著。第二行sig值P=0.000>0.05，在5%显著性水平显著。第三同二。
Standardized Canonical Coefficients for Set-1(标准化变量的典型相关的换算系数）123
Y112.146-1.52712.981
Y2-11.461 2.051-13.787
Y3-.422.599.986
Raw Canonical Coefficients for Set-1（原始变量的典型相关变量的换算系数）
123
Y1.002.000.002
Y2.000.000.000
Y3-.196.279.458
第一个典型变量的标准化典型系数为12.146和-11.461、-0.422。
Cv1-1=12.146Y1-11.461Y2-0.422Y3.同上
Standardized Canonical Coefficients for Set-2（典型负载系数）（结构相关系数：典型变量与原始变量之间的相关系数）
123
X1-.503-.350-1.854
X2.323.172 1.051
X3.991 1.263 3.796
X4-6.342-1.593-15.640
X5-1.616 3.256 6.526
X6-3.593-1.138-10.125
X78.644-2.0308.132
X8-2.506-.024-4.343
X9-2.187-1.566-8.282
X10 1.476 1.387 6.546
X11 2.048.667 5.396
X12.464-.195.207
X13 2.623.9597.123
Raw Canonical Coefficients for Set-2
123
X1-6.480-4.504-23.879
X28.591 4.58627.983
X3.000.000.001
X4-.008-.002-.020
X5-.008.016.031
X6-.002-.001-.006
X7.001.000.001
X8-1.013-.010-1.756
X9-.571-.409-2.162
X10.253.237 1.121
X11.677.221 1.784
X12.000.000.000
X13.000.000.000
Cv2-1=-0.503x1+0.323x2...........-2,-3同上
Canonical Loadings for Set-1
123
Y1.493.821-.288
Y2.445.837-.318
Y3-.267.896.355
Cross Loadings for Set-1
123
Y1.493.821-.288
Y2.445.837-.318
Y3-.267.896.355
Canonical Loadings for Set-2
123
X1-.627-.610-.195
X2-.035.151.423
X3.504.823-.262
X4.450.822-.338
X5.386.845-.367
X6.497.806-.319
X7.483.825-.294
X8-.094.899.392
X9-.472.504.515
X10-.482.439.522
X11-.385.701.497
X12.582.791-.023
X13.476.793-.375
Cross Loadings for Set-2
123
X1-.627-.610-.195
X2-.035.151.423
X3.504.823-.262
X4.450.822-.338
X5.386.845-.367
X6.497.806-.319
X7.483.825-.294
X8-.094.899.392
X9-.472.504.515
X10-.482.439.522
X11-.385.701.497
X12.582.791-.023
X13.476.793-.375
典型负荷系数和交叉负荷系数表
重叠系数分析
Redundancy Analysis:
Proportion of Variance of Set-1Explained by Its Own Can.Var.
Prop Var
CV1-1.171
CV1-2.726
CV1-3.103
Proportion of Variance of Set-1Explained by Opposite Can.Var.
Prop Var
CV2-1.171
CV2-2.726
CV2-3.103
Proportion of Variance of Set-2Explained by Its Own Can.Var.
Prop Var
CV2-1.204
CV2-2.523
CV2-3.139
Proportion of Variance of Set-2Explained by Opposite Can.Var.
Prop Var
CV1-1.204
CV1-2.523
CV1-3.139
0.171=CR1^2*0.171=1^2*0.171 0.204=CR1^2*0.204=1^2*0.204 ------END MATRIX-----