2022年SPSS典型相关分析结果解读 .pdf

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1、CorrelationsforSet-1Y1Y2Y3Y11.0000.9983.5012Y2.99831.0000.5176Y3.5012.51761.0000第一组变量间的简单相关系数CorrelationsforSet-2X1X2X3X4X5X6X7X8X9X10X11X12X13X11.0000-.3079-.7700-.7068-.6762-.7411-.7466-.5922-.1948-.1285-.2650-.9070-.6874X2-.30791.0000-.0117.0103-.0613-.0283-.0140.3333.4161.3810.3831.1098-.0640X3-

2、.7700-.01171.0000.9905.9860.9973.9990.5892.0421-.0196.2492.9515.9903X4-.7068.0103.99051.0000.9910.9935.9952.5634.0249-.0367.2476.9120.9953X5-.6762-.0613.9860.99101.0000.9887.9912.5717.0363-.0277.2475.8972.9926X6-.7411-.0283.9973.9935.98871.0000.9985.5563.0142-.0453.2210.9355.9950X7-.7466-.0140.9990.

3、9952.9912.99851.0000.5795.0319-.0298.2441.9390.9945X8-.5922.3333.5892.5634.5717.5563.57951.0000.7097.6540.8990.6619.5138X9-.1948.4161.0421.0249.0363.0142.0319.70971.0000.9922.8520.1350-.0228X10-.1285.3810-.0196-.0367-.0277-.0453-.0298.6540.99221.0000.8184.0752-.0801X11-.2650.3831.2492.2476.2475.2210

4、.2441.8990.8520.81841.0000.3093.1840X12-.9070.1098.9515.9120.8972.9355.9390.6619.1350.0752.30931.0000.9040X13-.6874-.0640.9903.9953.9926.9950.9945.5138-.0228-.0801.1840.90401.0000CorrelationsBetween Set-1 and Set-2X1X2X3X4X5X6X7X8X9X10X11X12X13Y1-.7542-.0147.9995.9940.9892.9989.9998.5788.0334-.0280.

5、2426.9430.9937Y2-.7280-.0234.9965.9958.9954.9977.9988.5859.0485-.0136.2573.9285.9949Y3-.4485.2952.5096.4955.5230.4760.5048.9695.7610.7071.9073.5449.4500CanonicalCorrelations11.00021.00031.000第一对典型变量的典型相关系数为CR1=1 .二三Test thatremainingcorrelationsare zero: 维度递减检验结果降维检验WilksChi-SQDFSig.1.000.000.000.00

6、0名师资料总结 - - -精品资料欢迎下载 - - - - - - - - - - - - - - - - - - 名师精心整理 - - - - - - - 第 1 页，共 5 页 - - - - - - - - - 2.000.00024.000.0003.000103.48911.000.000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=0.0000.05，在5% 显著性水平显著。第三同二。StandardizedCanonicalCo

7、efficientsforSet-1( 标准化变量的典型相关的换算系数）123Y112.146-1.52712.981Y2-11.4612.051-13.787Y3-.422.599.986RawCanonicalCoefficientsforSet-1 （原始变量的典型相关变量的换算系数）123Y1.002.000.002Y2.000.000.000Y3-.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StandardizedCanonicalCoefficients

8、forSet-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）123X1-.503-.350-1.854X2.323.1721.051X3.9911.2633.796X4-6.342-1.593-15.640X5-1.6163.2566.526X6-3.593-1.138-10.125X78.644-2.0308.132X8-2.506-.024-4.343X9-2.187-1.566-8.282X101.4761.3876.546X112.048.6675.396X12.464-.195.207X132.623.9597.123RawCanonicalCoefficie

9、ntsforSet-2123X1-6.480-4.504-23.879X28.5914.58627.983X3.000.000.001名师资料总结 - - -精品资料欢迎下载 - - - - - - - - - - - - - - - - - - 名师精心整理 - - - - - - - 第 2 页，共 5 页 - - - - - - - - - X4-.008-.002-.020X5-.008.016.031X6-.002-.001-.006X7.001.000.001X8-1.013-.010-1.756X9-.571-.409-2.162X10.253.2371.121X11.677.2

10、211.784X12.000.000.000X13.000.000.000Cv2-1=-0.503x1+0.323x2.-2,-3同上CanonicalLoadingsforSet-1123Y1.493.821-.288Y2.445.837-.318Y3-.267.896.355Cross Loadings forSet-1123Y1.493.821-.288Y2.445.837-.318Y3-.267.896.355CanonicalLoadingsforSet-2123X1-.627-.610-.195X2-.035.151.423X3.504.823-.262X4.450.822-.33

11、8X5.386.845-.367X6.497.806-.319X7.483.825-.294X8-.094.899.392X9-.472.504.515X10-.482.439.522X11-.385.701.497X12.582.791-.023X13.476.793-.375Cross Loadings forSet-2名师资料总结 - - -精品资料欢迎下载 - - - - - - - - - - - - - - - - - - 名师精心整理 - - - - - - - 第 3 页，共 5 页 - - - - - - - - - 123X1-.627-.610-.195X2-.035.1

12、51.423X3.504.823-.262X4.450.822-.338X5.386.845-.367X6.497.806-.319X7.483.825-.294X8-.094.899.392X9-.472.504.515X10-.482.439.522X11-.385.701.497X12.582.791-.023X13.476.793-.375典型负荷系数和交叉负荷系数表重叠系数分析Redundancy Analysis:ProportionofVarianceofSet-1Explainedby ItsOwnCan. Var.Prop VarCV1-1.171CV1-2.726CV1-3

13、.103ProportionofVarianceofSet-1Explainedby OppositeCan.Var.Prop VarCV2-1.171CV2-2.726CV2-3.103ProportionofVarianceofSet-2Explainedby ItsOwnCan. Var.Prop VarCV2-1.204CV2-2.523CV2-3.139ProportionofVarianceofSet-2Explainedby OppositeCan. Var.Prop VarCV1-1.204名师资料总结 - - -精品资料欢迎下载 - - - - - - - - - - - - - - - - - - 名师精心整理 - - - - - - - 第 4 页，共 5 页 - - - - - - - - - CV1-2.523CV1-3.1390.171=CR12*0.171=12*0.1710.204=CR12*0.204=12*0.204-ENDMATRIX-名师资料总结 - - -精品资料欢迎下载 - - - - - - - - - - - - - - - - - - 名师精心整理 - - - - - - - 第 5 页，共 5 页 - - - - - - - - -