最新因子分析北京大学公共卫生学院郑迎东多元统计幻灯片.ppt

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1、因子分析北京大学公共卫生因子分析北京大学公共卫生学院郑迎东多元统计学院郑迎东多元统计1.1.121221112pppprrrrrrRpppppprrrrrrrrrR.212222111211221.p00VCorrelation Matrix1.000-.147.019.042-.025-.1471.000-.032-.093-.097.019-.0321.000.535.264.042-.093.5351.000.207-.025-.097.264.2071.000单脚站立反应时1握力背力身高Correlation单脚站立反应时1握力背力身高Communalities1.000.5961.0

2、00.5601.000.7071.000.6631.000.324单脚站立反应时1握力背力身高InitialExtractionExtraction Method: Principal Component Analysis.Reproduced Correlations.596b-.567-.050.024-.005-.567.560b-.074-.141-.078-.050-.074.707b.680.478.024-.141.680.663b.463-.005-.078.478.463.324b单脚站立反应时1握力背力身高Reproduced Correlation单脚站立反应时1握力背力

3、身高Extraction Method: Principal Component Analysis.Reproduced communalitiesb. Total Variance Explained1.72034.39034.3901.72034.39034.3901.13122.61857.0091.13122.61857.009.90818.16775.176.78515.69190.867.4579.133100.000Component12345Total% of VarianceCumulative %Total% of VarianceCumulative %Initial E

4、igenvaluesExtraction Sums of Squared LoadingsExtraction Method: Principal Component Analysis.Factor Patterna.098-.766-.238.710.823.171.811.072.564.079单脚站立反应时1握力背力身高12FactorExtraction Method: Principal Component Analysis.2 components extracted.a. Rotated Component Matrixa-.044.771-.104-.741.840-.017.

5、811.077.569.026单脚站立反应时1握力背力身高12ComponentExtraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.Rotation converged in 3 iterations.a. Goodness-of-fit Test2.1061.147Chi-SquaredfSig.Total Variance Explained1.72034.39034.3901.70033.99733.9971.13122.61857.0091

6、.15123.01257.009Component12Total% of VarianceCumulative %Total% of VarianceCumulative %Extraction Sums of Squared LoadingsRotation Sums of Squared LoadingsExtraction Method: Principal Component Analysis.Correlation Matrix1.000.264.343.303.264.2641.000.391.209.438.343.3911.000.844.177.303.209.8441.00

7、0.204.264.438.177.2041.000握力身高体重胸围肺活量Correlation握力身高体重胸围肺活量Factor Matrixa.418.158.492.450.954-.288.799-.284.393.544握力身高体重胸围肺活量12FactorExtraction Method: Principal Axis Factoring.Attempted to extract 2 factors. More than25 iterations required. (Convergence=.005). Extraction was terminated.a. Pattern

8、Matrixa.233.305.089.628.984.033.853-.016-.057.690握力身高体重胸围肺活量12FactorExtraction Method: Principal Axis Factoring. Rotation Method: Promax with Kaiser Normalization.Rotation converged in 3 iterations.a. Structure Matrix.346.392.323.661.996.399.847.302.200.669握力身高体重胸围肺活量12FactorExtraction Method: Princ

9、ipal Axis Factoring. Rotation Method: Promax with Kaiser Normalization.Factor Correlation Matrix1.000.373.3731.000Factor1212Extraction Method: Principal Axis Factoring. Rotation Method: Promax with Kaiser Normalization.Correlation Matrix1.000.041.019.188.0411.000.844.146.019.8441.000.188.188.146.188

10、1.000脉搏体重胸围台阶指数Correlation脉搏体重胸围台阶指数Total Variance Explained1.91447.85647.8561.73243.29843.2981.13728.42576.281.3588.95252.250.79419.85796.138.1543.862100.000Factor1234Total% of VarianceCumulative %Total% of VarianceCumulative %Initial EigenvaluesExtraction Sums of Squared LoadingsExtraction Method:

11、 Principal Axis Factoring.Correlation Matrix1.000.041.019.188.032-.035.0411.000.844.146.867.851.019.8441.000.188.810.814.188.146.1881.000.161.171.032.867.810.1611.000.812-.035.851.814.171.8121.000脉搏体重胸围台阶指数腰围臀围Correlation脉搏体重胸围台阶指数腰围臀围Total Variance Explained3.54359.05559.0553.37056.16456.1641.16319

12、.38178.437.4016.67862.841.79913.31691.752.1923.20194.953.1833.05498.007.1201.993100.000Factor123456Total% of VarianceCumulative %Total% of VarianceCumulative %Initial EigenvaluesExtraction Sums of Squared LoadingsExtraction Method: Principal Axis Factoring.Rotated Factor Matrixa-.042.525.937.116.888.126.143.364.898.121.906.039脉搏体重胸围台阶指数腰围臀围12FactorExtraction Method: Principal Axis Factoring. Rotation Method: Varimax with Kaiser Normalization.Rotation converged in 3 iterations.a.