大学生创新实践项目统计分析结果

1、大学生创新实践项目统计分析结果2010年11月15日入职适应测量分析项目分析一是删除数据不全或不诚实问卷二是通过项目分析，删除几个题项。Independent Samples TestLevenes Test for Equality of Variancest-test for Equality of MeansFSig.tdfSig. (2-tailed)Mean DifferenceStd. Error Difference95% Confidence Interval of the DifferenceLowerUpperr1Equal variances assumed.095.75

2、93.85575.000.86585.22458.418461.31325Equal variances not assumed3.84773.039.000.86585.22506.417321.31439r2Equal variances assumed11.271.0012.64775.010.55488.20965.13724.97252Equal variances not assumed2.57658.526.013.55488.21539.12382.98594r3Equal variances assumed.845.3612.61875.011.55352.21141.132

3、37.97468Equal variances not assumed2.62774.534.010.55352.21068.13378.97326r4Equal variances assumed.591.4443.67275.000.71070.19354.325161.09625Equal variances not assumed3.65672.119.000.71070.19441.323161.09824r5Equal variances assumed4.267.0424.97275.000.97222.19554.582681.36176Equal variances not

4、assumed4.91067.993.000.97222.19803.577061.36738r6Equal variances assumed5.327.0244.58375.0001.01084.22057.571441.45024Equal variances not assumed4.45958.233.0001.01084.22670.557081.46460r7Equal variances assumed6.277.0142.43175.017.57656.23718.104071.04904Equal variances not assumed2.40368.540.019.5

5、7656.23997.097781.05534r8Equal variances assumed.253.6171.55675.124.36721.23607-.10306.83748Equal variances not assumed1.55874.087.124.36721.23574-.10251.83692r9Equal variances assumed7.102.0093.47375.001.76423.22004.325881.20257Equal variances not assumed3.37557.392.001.76423.22643.310871.21758r10E

6、qual variances assumed16.348.0004.80175.000.99661.20758.583091.41013Equal variances not assumed4.64554.252.000.99661.21458.566461.42677r11Equal variances assumed3.008.087-1.93275.057-.49932.25851-1.01431.01566Equal variances not assumed-1.95674.684.054-.49932.25522-1.00778.00914r12Equal variances as

7、sumed1.914.1713.02875.003.72629.23983.248521.20406Equal variances not assumed3.08773.063.003.72629.23530.257331.19524r13Equal variances assumed3.618.061.35675.723.09011.25325-.41440.59462Equal variances not assumed.36273.235.718.09011.24859-.40531.58552r14Equal variances assumed.004.9493.91575.000.8

8、9160.22776.437871.34533Equal variances not assumed3.93774.858.000.89160.22645.440481.34272r15Equal variances assumed.966.329-.11675.908-.02033.17519-.36931.32866Equal variances not assumed-.11673.340.908-.02033.17540-.36987.32922r16Equal variances assumed1.334.2521.96675.053.40041.20366-.00530.80611

9、Equal variances not assumed1.97174.322.052.40041.20317-.00439.80520r17Equal variances assumed.045.8333.42675.001.81843.23889.342541.29432Equal variances not assumed3.39770.302.001.81843.24091.337991.29887r18Equal variances assumed9.670.0031.75975.083.33266.18910-.04406.70937Equal variances not assum

10、ed1.72061.589.090.33266.19342-.05404.71935r19Equal variances assumed1.291.2601.27775.205.28862.22594-.16148.73871Equal variances not assumed1.28074.292.204.28862.22543-.16053.73777r20Equal variances assumed1.199.2774.49075.000.73442.16357.408561.06027Equal variances not assumed4.42566.891.000.73442.

11、16596.403161.06568删除题目8、11、13、15、16、18、19（红字部分）二、能否进行因子分析检验？KMO and Bartletts TestKaiser-Meyer-Olkin Measure of Sampling Adequacy.558Bartletts Test of SphericityApprox. Chi-Square197.458df78Sig.000Total Variance ExplainedComponentInitial EigenvaluesExtraction Sums of Squared LoadingsRotation Sums of

12、 Squared LoadingsTotal% of VarianceCumulative %Total% of VarianceCumulative %Total% of VarianceCumulative %12.15216.55216.5522.15216.55216.5521.87514.42314.42321.79213.78330.3351.79213.78330.3351.85914.30028.72331.2879.89940.2331.2879.89940.2331.32010.15138.87441.2339.48149.7141.2339.48149.7141.3121

13、0.09148.96551.0928.40058.1151.0928.40058.1151.1899.15058.1156.9687.44365.5587.9317.16572.7238.8196.29779.0209.7485.75084.77010.6004.61289.38311.5384.13893.52112.4673.59297.11413.3752.886100.000Extraction Method: Principal Component Analysis.Rotated Component MatrixaComponent12345r9.823-.067.005.023.

14、109r5.790.040.142.067.018r20.493.029-.269.038-.177r3-.290.719-.077.041.073r12.048.712.040.236.153r14.420.650.039-.154-.245r10.072.607.467.032-.048r7-.025.074.786.075-.042r2-.168-.066.175.737-.124r4.084.104-.271.707.114r1.152.109.121.417.018r17-.043.063-.201-.013.764r6.054-.009.473.027.664Extraction

15、Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.a. Rotation converged in 5 iterations.第5因子题项只有两项r17和r6，层面所涵盖的题项内容太少，将之删除似乎较为适宜。因为这是一个探索性因子分析，题项删除后因子结构也会随之改变，因而必须再进行一次因子分析，以验证量表的结构效度。Rotated Component MatrixaComponent1234r9.813-.051.025-.022r5.776.040.063.177r

16、20.524.008-.005-.183r3-.278.741.022-.161r12.049.722.233.036r10.049.616.012.447r14.432.615-.200.155r2-.158-.041.721.161r4.109.143.710-.322r1.150.071.418.265r7-.073.059.078.841Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.a. Rotation converged in 5

17、 iterations.再一次因子分析后第4因子只有一个题项。删除。Total Variance ExplainedComponentInitial EigenvaluesExtraction Sums of Squared LoadingsRotation Sums of Squared LoadingsTotal% of VarianceCumulative %Total% of VarianceCumulative %Total% of VarianceCumulative %12.09120.91420.9142.09120.91420.9141.91319.13119.13121.7

18、4417.43738.3511.74417.43738.3511.86218.62037.75131.25612.55550.9061.25612.55550.9061.31613.15650.9064.9739.73460.6405.9119.11369.7536.8308.30178.0547.6966.96085.0148.5895.89190.9059.5035.03295.93710.4064.063100.000Extraction Method: Principal Component Analysis.Rotated Component MatrixaComponent123r

19、11.706.043.026r12.704.011.265r14.665.409-.169R15.663-.321.058R19-.025.811.038R17.109.780.073r20-.044.520.012r4.025.078.729r2-.027-.158.710r1.144.149.413Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.a. Rotation converged in 4 iterations.三、信度检验因子1：

20、人际适应Reliability StatisticsCronbachs AlphaN of Items.7314因子2：文化适应Reliability StatisticsCronbachs AlphaN of Items.7903因子3：能力适应Reliability StatisticsCronbachs AlphaN of Items.7963影响因素分析Independent Samples TestLevenes Test for Equality of Variancest-test for Equality of MeansFSig.tdfSig. (2-tailed)Mean

21、DifferenceStd. Error Difference95% Confidence Interval of the DifferenceLowerUppery1Equal variances assumed.157.6931.84980.068.39024.21108-.02983.81032Equal variances not assumed1.84978.515.068.39024.21108-.02995.81044y2Equal variances assumed.215.644-.48880.627-.07317.14986-.37139.22505Equal varian

22、ces not assumed-.48880.000.627-.07317.14986-.37139.22505y3Equal variances assumed6.073.016.99680.322.19512.19596-.19485.58509Equal variances not assumed.99673.278.323.19512.19596-.19540.58564y4Equal variances assumed.007.934.96380.339.21951.22802-.23426.67329Equal variances not assumed.96379.999.339

23、.21951.22802-.23426.67329y5Equal variances assumed1.543.2183.51580.001.63415.18039.27516.99313Equal variances not assumed3.51569.381.001.63415.18039.27432.99398y6Equal variances assumed6.594.0122.42280.018.46341.19135.08261.84421Equal variances not assumed2.42274.111.018.46341.19135.08215.84468y7Equ

24、al variances assumed.856.3583.37180.001.60976.18088.24979.96972Equal variances not assumed3.37173.541.001.60976.18088.24930.97021y8Equal variances assumed1.619.2072.19180.031.43902.20039.04024.83781Equal variances not assumed2.19178.282.031.43902.20039.04011.83794y9Equal variances assumed.509.478-.2

25、9980.766-.04878.16325-.37366.27610Equal variances not assumed-.29979.689.766-.04878.16325-.37368.27612y10Equal variances assumed.415.5212.20480.030.46341.21031.04489.88194Equal variances not assumed2.20479.866.030.46341.21031.04488.88195y11Equal variances assumed4.420.0391.87380.065.43902.23445-.027

26、55.90560Equal variances not assumed1.87377.044.065.43902.23445-.02782.90587y12Equal variances assumed.000.984.81880.416.19512.23848-.27946.66970Equal variances not assumed.81879.887.416.19512.23848-.27947.66972y13Equal variances assumed2.556.1142.55580.013.53659.21003.11862.95455Equal variances not

27、assumed2.55578.008.013.53659.21003.11846.95471y14Equal variances assumed8.254.0056.22180.0001.39024.22347.945521.83497Equal variances not assumed6.22172.526.0001.39024.22347.944811.83568y15Equal variances assumed.004.9502.82680.006.70732.25028.209241.20539Equal variances not assumed2.82679.896.006.7

28、0732.25028.209231.20540y16Equal variances assumed.110.7412.03380.045.46341.22795.00977.91706Equal variances not assumed2.03379.169.045.46341.22795.00970.91713y17Equal variances assumed4.428.0393.33980.001.78049.23375.315311.24567Equal variances not assumed3.33974.296.001.78049.23375.314761.24622y18E

29、qual variances assumed.718.3994.57480.0001.02439.22394.578741.47004Equal variances not assumed4.57476.585.0001.02439.22394.578431.47035y19Equal variances assumed.915.3423.48180.001.80488.23119.344791.26497Equal variances not assumed3.48178.655.001.80488.23119.344671.26509y20Equal variances assumed9.

30、233.0035.11880.0001.21951.23829.745301.69372Equal variances not assumed5.11871.985.0001.21951.23829.744491.69453y21Equal variances assumed1.909.1712.36280.021.56098.23754.088261.03369Equal variances not assumed2.36278.771.021.56098.23754.088141.03381y22Equal variances assumed.436.5112.15180.034.4878

31、0.22678.03650.93911Equal variances not assumed2.15179.610.035.48780.22678.03647.93914y23Equal variances assumed1.957.1663.99780.000.90244.22579.453101.35178Equal variances not assumed3.99778.281.000.90244.22579.452951.35193Rotated Component MatrixaComponent12345678910y14.673-.101.250.065.201.077.034

32、.107.052.005y19.663.291.047-.295-.089-.210.137-.181-.029-.037y23.649-.136-.103.062-.012.020-.037.034-.047.230y17.522.019-.137.156-.091.188-.220-.027.005-.297y13.420-.372-.062.195-.063.214.142-.087.029-.028y16-.053.772.141-.040-.008-.058-.016-.051.043.065y4-.005-.576.133-.255-.034-.094-.133-.053.154.

33、325y9-.010-.156-.766.143.035.023.056-.192.065.209y6.025-.079.630.260.168.030.085-.116.021.127y7.068.049.014.824.046.103.023-.035-.027-.058y20.220.046.207.454-.236-.181.294.174-.046.328y15.056-.014.231-.092.784-.024-.130.000.107.012y11-.155.403-.187.251.586.004.256-.024-.113-.067y21-.147.217.367.000-

34、.426.299.044.035.068.243y3.035-.198.225.064.014.690.172-.167-.145-.167y22.110.111-.170.138-.276.625-.353.183.045.075y2-.130-.061.156.423-.247-.483-.265.021-.206-.165y8.020.048.008.048-.048.062.868.014-.009-.074y12-.266-.102.104.111-.109.010-.061.800-.082-.016y18.410.110-.037-.155.112-.068.095.731.07

35、1.067y10-.106-.217.042-.016-.095-.139.162-.095.833-.071y5.139.231-.098-.084.221.157-.301.095.706.071y1.053-.042-.067-.023-.043.001-.087.018-.023.862Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.a. Rotation converged in 18 iterations.去掉y1和y8Rotate

36、d Component MatrixaComponent12345678y14.673-.090.263.067.166.085.089.094y23.664-.139-.106.074-.031.018.039.008y19.657.257.075-.254-.100-.278-.238-.054y17.469.075-.188.048-.008.325.002-.026y13.433-.308-.041.222-.002.255-.177-.029y16-.063.725.169-.079-.120-.154-.032.129y4.007-.668.091-.182-.082-.131.0

37、00.156y9.014-.127-.751.122.084.030-.183.105y6.013-.087.631.271.121.065-.099.032y7.056.141-.020.781.093.233-.032.004y20.261.030.211.568-.241-.221.108-.051y2-.175-.047.023.450-.128-.305.078-.287y15.046.004.290-.158.701.000.049.219y11-.141.506-.074.180.593.023-.061-.037y21-.128.143.357.039-.559.164.033

38、.114y3.033-.108.268-.007.009.716-.199-.150y22.104.111-.221.020-.372.612.273.171y12-.238-.097.088.134-.079.024.796-.105y18.454.091.021-.112.081-.159.670.105y5.112.159-.086-.161.105.093.124.792y10-.123-.302.040.067-.067-.192-.195.697Extraction Method: Principal Component Analysis. Rotation Method: Var

39、imax with Kaiser Normalization.a. Rotation converged in 19 iterations.Descriptive StatisticsNMinimumMaximumMeanStd. Deviationsex132.001.00.6515.47831y11322.204.003.1773.37693y21322.204.203.2303.39345y31321.833.832.9353.43687y41321.675.003.4795.70977y51321.505.003.1023.62085rsum1322.254.253.1908.3240

40、5Valid N (listwise)132Correlationssexy1y2y3y4y5rsumsexPearson Correlation1.151-.025-.011.196*.037.133Sig. (2-tailed).085.780.902.024.670.129N132132132132132132132y1Pearson Correlation.1511.001-.021-.039.155-.053Sig. (2-tailed).085.995.808.657.076.542N132132132132132132132y2Pearson Correlation-.025.0

41、011.024-.056.061-.101Sig. (2-tailed).780.995.786.520.490.247N132132132132132132132y3Pearson Correlation-.011-.021.0241.236*.042-.178*Sig. (2-tailed).902.808.786.006.634.041N132132132132132132132y4Pearson Correlation.196*-.039-.056.236*1.181*.087Sig. (2-tailed).024.657.520.006.038.324N132132132132132

42、132132y5Pearson Correlation.037.155.061.042.181*1.204*Sig. (2-tailed).670.076.490.634.038.019N132132132132132132132rsumPearson Correlation.133-.053-.101-.178*.087.204*1Sig. (2-tailed).129.542.247.041.324.019N132132132132132132132*. Correlation is significant at the 0.05 level (2-tailed).*. Correlation is significant