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91430074200938+1logisticSPSS200938+1444219-45logistic1215171-101996logistic[1],2002198420082010292[2]2002[3]2008logisticSAS[4]LOGISTICH0:H1:2==1*2*=2*OEOE444211012345601641810024364290210003754823933000320582069111103672571085627643120375637943450131933237702310133545240012941491824408626.09p0224408MethodValuedfAsymp.Sig.(2-sided)PearsonChi-Square626.0982300.000LikelihoodRatio665.4386300.000Linear-by-LinearAssociation438.973210.00093[0,1]01=22+0111SPSS134408Kendall'stau_bCorrelationCoefficientSig.(2-tailed)1.000.290(**)(.000)CorrelationCoefficientSig.(2-tailed).290(**)(.000)1.000Spearman'srhoCorrelationCoefficientSig.(2-tailed)1.000.335(**)(.000)CorrelationCoefficientSig.(2-tailed).335(**)(.0000)1.000**Correlationissignificantatthe0.01level(2-tailed).30.3352*212*2=1287×29451816×1463=1.426=176×29451129×1463=0.314(/)=1.426/0.314=4.544.541129176130518161287310329451463Logistic9410logisticlogisticEX-BURN=AGE,ED,INCOME,TRADITON,ex-burn57101029logistic201201B16070809060()0110523512345B79551,,23456789?10?11?12?5136ComponentInitialEigenvaluesExtractionSumsofSquaredLoadingsTotalofVarianle%Cumulative%TotalofVariance%Cumulative%12.60220.01420.0142.60220.01420.01421.98915.30035.3141.98915.30035.31431.1769.04244.3561.1769.04244.35641.0538.10152.4581.0538.10152.45850.9757.50259.9600.9757.50259.96060.8896.83766.7970.8896.83766.79770.7946.10672.9030.7946.10672.90380.7405.69278.5960.7405.69278.59690.6935.33083.9260.6935.33083.926100.6585.06388.9880.6585.06388.988110.6274.82393.8110.6274.82393.811120.4673.58997.4000.4673.58997.400130.3382.600100.0000.3382.600100.000ExtractionMethod:PrincipalComponentAnalysis.967ComponentMatrix(a)Component1234560.0940.5360.3420.490-0.050-0.1610.1150.5000.4020.3970.257-0.1370.619-0.2220.339-0.121-0.0670.2010.703-0.2420.298-0.054-0.1350.1200.673-0.1120.1340.002-0.123-0.0890.543-0.3640.0950.008-0.228-0.1050.4280.662-0.195-0.301-0.162-0.197?0.3710.691-0.199-0.354-0.107-0.1650.416-0.124-0.062-0.0130.665-0.0720.467-0.170-0.2740.0650.451-0.1790.293-0.019-0.4100.600-0.3160.1430.3840.072-0.5720.2190.0430.2310.0880.4820.122-0.1020.1770.77067611460%66.797%QX5Q134569Q21278Q312Q4118logisticConstant0.330008*0.331471.268912**100.320328***0.307217***0.4082***6070-0.23252***-0.27194***-0.37824***80-0.53662***-0.59238***-0.91912***90-0.79248***-0.9398***-1.28096***-0.27312***-0.25703***-0.28813***()-0.35248***-0.31975***-0.37288***-0.02782-0.02343-0.07359=0=10.653231***0.591846***0.605535***=1=00.0750960.089650.035580.153270.2094720.352537*-0.0451-0.06834-0.007550.0828140.04740.029038-0.15323-0.17733-0.346510.038507**0.030729Q10.01114Q2-0.08905***Q3-0.17472***Q4-0.09906***Q50.102376***Q60.035573***0.01**0.05*0.1978logistic812logistic[1]logistic[J]19973[2][J]200211[3][J]20022[4][J]20084QuantitativeAnalysisMethodintheQuestionnaireSurveyXiaoYunSchoolofStatisticsandMathematicsZhongnanUniversityofEconomicsandLawWuhan430074ChinaAbstractAfterreviewingfivecommonlyquantitativeanalysismethodsinthequestionnairesurvey,weusethesurveydataofthewomenofchildbearingageinMarch2009inthe8+1metropolitanareaofHubeiProvincewiththepurposeofstudyingtheinfluencingfactorsoftheWomenultrasonicbehavior.Thisarticlegaveeachmethodanexampleandestablish-edthemodeltoanalyze.Keywords:QuestionnaireSurvey;CorrelationAnalysis;LogisticModel;PrincipalComponentAnalysis