最新版spss实验报告17778.docx

1、最新版spss实验报告17778Spss实验报告（一）班级：管理1102 姓名：禹龙学号：一、逻辑回归：1、对“范助理分析数据”进行卡方拟合优度检验，输出拟合优度和逻辑回归方程：Omnibus Tests of Model CoefficientsChi-squaredfSig.Step 1Step6.9352.031Block6.9352.031Model6.9352.031Model SummaryStep-2 Log likelihoodCox & Snell R SquareNagelkerke R Square190.020a.063.105a. Estimation termina

2、ted at iteration number 5 because parameter estimates changed by less than .001.Hosmer and Lemeshow TestStepChi-squaredfSig.113.7138.090Contingency Table for Hosmer and Lemeshow Test购买行为 = 0购买行为 = 1TotalObservedExpectedObservedExpectedStep 111110.4870.513112810.1683.832113119.94301.05711499.73721.26

3、3115109.48411.516116119.14301.85711797.95712.04310889.29142.70912978.62853.372121054.16122.8397Classification TableaObservedPredicted购买行为Percentage Correct01Step 1购买行为0890100.011715.6Overall Percentage84.1a. The cut value is .500Variables in the EquationBS.E.WalddfSig.Exp(B)Step 1a炫耀动机1.102.4506.005

4、1.0143.011自我善待动机-.508.3951.6571.198.601Constant-3.1091.2046.6681.010.045a. Variable(s) entered on step 1: 炫耀动机, 自我善待动机.回归拟合方程：或者：分析报告：A、炫耀动机每增加一个单位，优势比增加3.011倍B、自我善待动机每增加一个单位，优势比增加0.601倍2、对范助理分析数据进行多元线性回归分析：(1)假设（2）回归方程及其含义：CoefficientsaModelUnstandardized CoefficientsStandardized CoefficientstSig.C

5、orrelationsBStd. ErrorBetaZero-orderPartialPart1(Constant)1.173.3403.447.001炫耀动机.272.125.2222.172.032.457.208.177自我善待动机.464.122.3903.813.000.524.350.311a. Dependent Variable: 意愿回归方程： （3.447）（2.172） （3.813）含义:A、在其他情况不变的情况下，炫耀动机每增加1000个单位，购买意愿就会平均增加272个单位。 B、在其他情况不变的情况下，自我善待动机每增加1000个单位，购买意愿就会平均增加464个

6、单位。（3）方程及系数性检验：ANOVAaModelSum of SquaresdfMean SquareFSig.1Regression33.662216.83122.958.000bResidual76.245104.733Total109.907106a. Dependent Variable: 意愿b. Predictors: (Constant), 自我善待动机, 炫耀动机CoefficientsaModelUnstandardized CoefficientsStandardized CoefficientstSig.CorrelationsBStd. ErrorBetaZero-

7、orderPartialPart1(Constant)1.173.3403.447.001炫耀动机.272.125.2222.172.032.457.208.177自我善待动机.464.122.3903.813.000.524.350.311a. Dependent Variable: 意愿A、该数据拟合优度，表明购买意愿变异的55.3%可以通过炫耀动机和自我善待动机两个变量来解释。B、F=22.958，P0.001,说明所有系数为0的假设()被拒绝，即方程存在显著的线性关系。C、所有变量回归系数的t值所对应的显著性概率P0.05,表示所有的回归系数均是显著的。（4）、回归方程的基本假设检验：

8、Model SummarybModelRR SquareAdjusted R SquareStd. Error of the EstimateChange StatisticsR Square ChangeF Changedf1df2Sig. F Change1.553a.306.293.85623.30622.9582104.000a. Predictors: (Constant), 自我善待动机, 炫耀动机b. Dependent Variable: 意愿Correlations意愿炫耀动机自我善待动机Pearson Correlation意愿1.000.457.524炫耀动机.4571.

9、000.603自我善待动机.524.6031.000Sig. (1-tailed)意愿.000.000炫耀动机.000.000自我善待动机.000.000.N意愿107107107炫耀动机107107107自我善待动机107107107由上图可以看出：A、DW=1.436，表明残差不存在自相关。 B、标准残差的绝对值与自变量不存在显著的相关关系，表明残差不具有异方差性。 C、残差的直方图和P-P图显示，残差基本符合标准正态分布。二、因子分析：KMO and Bartletts TestKaiser-Meyer-Olkin Measure of Sampling Adequacy.723Bart

10、letts Test of SphericityApprox. Chi-Square678.796df66Sig.000KMO系数大于0.7，2=678.796,p=0.000,说明该组数据适合做因子分析。CommunalitiesInitialExtractionx11.000.898x21.000.864x31.000.843x41.000.825x51.000.934x61.000.974x71.000.934x81.000.971x91.000.748x101.000.867x111.000.921x121.000.675Extraction Method: Principal Com

11、ponent Analysis.Rotated Component MatrixaComponent123x6.970.174x8.952.199-.155x7.947-.191x5.934.194.155x1.929-.183x3.870-.147.253x2.806.309.344x4.791-.437x11.921.259x10.914.175x12.809-.106x9.205.840Undefined error #11401 - Cannot open text file D:PROGRA1IBMSPSSSTATIS122langenspss.err: Undefined erro

12、r #11408 - Cannot open text file D:PROGRA1IBMSPSSSTATIS122langenspss.err:a. Rotation converged in 4 iterations.Total Variance ExplainedComponentInitial EigenvaluesExtraction Sums of Squared LoadingsRotation Sums of Squared LoadingsTotal% of VarianceCumulative %Total% of VarianceCumulative %Total% of

13、 VarianceCumulative %16.67155.58955.5896.67155.58955.5896.52654.38154.38122.67522.29377.8822.67522.29377.8822.64922.07776.45831.1079.22487.1051.1079.22487.1051.27810.64787.1054.6705.58192.6865.4373.64296.3296.2291.90998.2387.076.63198.8698.073.61299.4829.032.26499.74610.021.17999.92511.007.05699.981

14、12.002.019100.000Extraction Method: Principal Component Analysis.本次分析特征值大于1的因素共有3个，第三个因素只包含两个题项：x9和x4，层面所覆盖的题项内容太少，因此尝试删除；通过对公因子方差的比较，x9小于x4，因此先删除x9.删除x9后：KMO and Bartletts TestKaiser-Meyer-Olkin Measure of Sampling Adequacy.741Bartletts Test of SphericityApprox. Chi-Square674.816df55Sig.000KMO值为0.7

15、41，变量间的相关性较强，所以可以做因子分析。2=674.816，达到显著，表示样本的相关矩阵间有共同因素存在，适合进行因子分析。Rotated Component MatrixaComponent12x6.970.173x8.956.173x7.954x1.928-.154x5.926.239x3.860x4.807x2.789.399x11.957x10.931x12.779Undefined error #11401 - Cannot open text file D:PROGRA1IBMSPSSSTATIS122langenspss.err: Undefined error #1140

16、8 - Cannot open text file D:PROGRA1IBMSPSSSTATIS122langenspss.err:a. Rotation converged in 3 iterations.CommunalitiesInitialExtractionx11.000.885x21.000.781x31.000.743x41.000.652x51.000.914x61.000.970x71.000.910x81.000.944x101.000.866x111.000.918x121.000.615Extraction Method: Principal Component Ana

17、lysis.Total Variance ExplainedComponentInitial EigenvaluesExtraction Sums of Squared LoadingsRotation Sums of Squared LoadingsTotal% of VarianceCumulative %Total% of VarianceCumulative %Total% of VarianceCumulative %16.66860.61660.6166.66860.61660.6166.50659.14859.14822.53123.00983.6252.53123.00983.

18、6252.69224.47783.6253.8487.71391.3384.5094.62895.9665.2292.08398.0496.076.68998.7387.076.68799.4258.032.29299.7179.022.19699.91310.007.06599.97811.002.022100.000Extraction Method: Principal Component Analysis.由上表和碎石图可以看出前两个特征值较大，其余九个特征值均较小。前两个公公因子对样本方差的贡献率和为86.625%。三、信度分析：（1）、总量表信度系数Reliability Stat

19、isticsCronbachs AlphaN of Items.59011Item-Total StatisticsScale Mean if Item DeletedScale Variance if Item DeletedCorrected Item-Total CorrelationSquared Multiple CorrelationCronbachs Alpha if Item Deletedx1.86464641.000.796.973.596x2.0706571.250.820.957.390x3.44547795.000.822.900.595x4.49775210.000

20、.638.981.596x5.92776401.000.977.975.546x6.8134996.300.857.988.278x7.05978029.000.808.991.596x8.09912247.000.888.996.541x10.82091777.000.280.894.596x11.10009862.000.338.876.596x12.43514138.000.291.714.596分析：信度系数为0.590，说明说明总量表的内在信度不高。（2） “社会经济指标”维度层面的信度系数Reliability StatisticsCronbachs AlphaCronbachs

21、Alpha Based on Standardized ItemsN of Items.613.9688Item-Total StatisticsScale Mean if Item DeletedScale Variance if Item DeletedCorrected Item-Total CorrelationSquared Multiple CorrelationCronbachs Alpha if Item Deletedx1.58037935.000.796.954.626x2.7863194.800.820.952.410x3.16118019.000.822.873.625

22、x4.21340269.000.638.973.626x5.64346899.000.977.971.574x6.5291230.400.857.987.292x7.77543787.000.808.983.626x8.81499818.000.888.994.568分析：信度系数为0.613，说明“社会经济指标”维度层面的内在信度不高。（3） “城市公共设施水平指标”维度层面的信度系数Reliability StatisticsCronbachs AlphaCronbachs Alpha Based on Standardized ItemsN of Items.605.8773Item-T

23、otal StatisticsScale Mean if Item DeletedScale Variance if Item DeletedCorrected Item-Total CorrelationSquared Multiple CorrelationCronbachs Alpha if Item Deletedx1046.89172290.719.644.835.341x1151.17093051.671.791.855.574x1222.5060617.282.593.400.771分析：信度系数为0.605，说明“城市公共设施水平指标”维度层面的内在信度不高。4、综合评价：To

24、tal Variance ExplainedComponentInitial EigenvaluesExtraction Sums of Squared LoadingsRotation Sums of Squared LoadingsTotal% of VarianceCumulative %Total% of VarianceCumulative %Total% of VarianceCumulative %16.66860.61660.6166.66860.61660.6166.50659.14859.14822.53123.00983.6252.53123.00983.6252.69224.47783.6253.8487.71391.3384.5094.62895.9665.2292.08398.0496.076.68998.7387.076.68799.4258.032.29299.7179.022.19699.91310.007.06599.978