因子分析作业格式

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1、信赖度分析将9组数据带入spss进行信赖度分析，得出信赖度分析表。根据以下分析得出，信赖度系数为0.672,因此数据可信。ReliabilityStatisticsCronbach'sAlphaNofItems.6729因子分析数据表屮选取了九个数据，分别是：食品，衣着，家庭设备及用品，城镇经济，农村经济,个体经济，一般贸易，来料加工，进料加工。假设：利用SPSS中因子分析來提取公共因子，分析衡量发展因素的指标得出下表。从KMOandBartlett'sTest表中得出,KMO值为0.824,表示适合做因子分析。Bartlett球形度检验的原假设为相关系数矩阵是单位阵，

2、sig值为0.00远小于95%有益水准的sig值0.05,因此拒绝原假设，说明变量之间存在相关关系，适合做因子分析。KMOandBartlett'sTestKaiser-Meyer-OlkinMeasureofSamplingAdequacy.BartlettsTestofSphericityApprox・Chi-SquaredfSig..824703.99336.000根据RotatedComponentMatrixa可以得出旋转后的因子载荷值，其中旋转方法采用的是Kaiser标准化的正交旋转法。通过因子旋转，各个因子有了比较明确的含义。CommunalitiesIn

3、itialExtractionVAR000011.000.993VAR000021.000.996VAR000031.000.988VAR000041.000.980VAR000051.000.996VAR000061.000.952VAR000071.000.991VAR000081.000.993VAR000091.000.989ExtractionMethod:PrincipalComporientAnalysis・TotalVarianceExplainedComponentInitialEigenvaluesExtractionSumsofSquaredLoa

4、dingsRotTotal%ofVarianeeCumulative%Total%ofVarianceCumulative%Total18.09989.98989.9898.09989.98989.9894.12.5906.55796.546.5906.55796.5463.53.1882.09298.638.1882.09298.6381.14.0911.00699.6445.012.13599.7806.010.11099.8907.006.06699.9568.002.02799.9829.002.018100.000ExtractionMethod:Princi

5、palComponentAnalysis.ComponentMatrix3Comporient123VAR00001.954.187-.217VAR00002.977.081・.189VAR00003.986-.069・.109VAR00004.931-.331-.048VAR00005.940-.334.034VAR00006.932-.247.153VAR00007.988.034.117VAR00008.890.445.047VAR00009.936.250.226ExtractionMethod:PrincipalComponentAnalysis.a.3com

6、ponentsextracted・RotatedComponentMatrix3Comporient123VAR00001.489.663.560VAR00002.584.612.529VAR00003.710.538.441VAR00004.867.340.335VAR00005.889.370.262VAR00006.843.465.158VAR00007.679.686.244VAR00008.311.891.321VAR00009.510.841.149ExtractionMethod:PrincipalComponentAnalysis.RotationMet

7、hod:VarimaxwithKaiserNormalization.a.Rotationconvergedin6iterations.ComponentTransformationMatrixComponent1231.690.632.3532-.702.703.1153.175.327-.929ExtractionMethod:PrincipalComponentAnalysis.RotationMethod:VarimaxwithKaiserNormalization.经分析得出下表touzijinchukouxiaofeiVAR0