实验六因子分析分析解析
实验六 因子分析 一、 实验目的学习利用SPSS进行因子分析 。二、实验步骤下表资料为25名健康人的7项生化检验结果，7项生化检验指标依次命名为X1至X7，请对该资料进行因子分析。 X1X2X3X4X5X6X73.768.596.227.579.035.513.278.749.649.738.597.124.695.511.665.909.848.394.947.239.469.554.948.219.413.664.996.147.287.083.980.627.009.491.332.985.493.011.341.615.769.274.924.382.307.315.354.523.086.440.541.344.527.072.591.300.443.311.031.001.173.682.171.271.571.551.512.541.031.771.044.254.502.425.115.2810.029.8412.6611.766.923.3611.6813.579.879.179.725.985.812.808.8413.6010.056.687.7912.0011.748.079.1012.509.777.502.171.794.545.337.633.5313.139.877.852.642.764.571.785.409.023.966.494.3911.582.771.793.752.4513.7410.162.732.106.227.308.844.7618.5211.069.913.433.555.382.097.5012.675.249.065.3716.183.512.104.663.104.782.131.090.821.282.408.391.122.353.702.621.192.013.433.721.971.751.432.812.272.421.051.291.720.91实验步骤：1建立数据文件。定义变量名：分别为X1、X2、X3、X4、X5、X6、X7，按顺序输入相应数值，建立数据文件。2选择菜单“AnalyzeData ReductionFactor” ，弹出“Factor Analysis”对话框。在对话框左侧的变量列表中选变量X1至X7，进入“Variables”框，如图1。3单击“Descriptives”按钮，弹出“Factor Analysis: Descriptives”对话框，在“Statistics”中选“Univariate descriptives”项，输出各变量的均数与标准差，“在Correlation Matrix”栏内选“Coefficients”，计算相关系数矩阵，并选“KMO and Bartletts test of sphericity”项，对相关系数矩阵进行统计学检验，如图2。 图1 图24单击“Extraction”按钮，弹出“Factor Analysis: Extraction”对话框，选用“Principal components”方法提取因子，如图3。图35单击“Rotation”按钮，弹出“Factor Analysis: Rotation”对话框，在“Method”栏中选择“Varimax”进行因子正交旋转，如图4。 6单击“Scores”按钮，弹出“Factor Analysis: Scores”对话框，选择“Regression”项估计因子得分系数，如图5。7单击“OK”钮，得到输出结果。 图4 图5三、实验习题对2008年重庆市40个区县经济发展基本情况进行分析，选择合适的分析变量，找出影响地区社会经济发展水平的主要因子，并对各地区发展水平进行综合评价或者对各地区经济发展状况进行分类。选取重庆市40个区市县经济发展基本情况的八项指标进行分析，分别为：X1-工业总产值(万元)，X2-农业总产值(万元)，X3-建筑业总产值（万元），X4-地方财政预算内收入(亿元)，X5-非农业人口（万人），X6-公路货运量(万吨)，X7-城镇化率（%），X8-农村居民人均住房面积（平方米），数据如下：区县工业总产值(万元)农业总产值(万元)建筑业总产值（万元）地方财政预算内收入(亿元)非农业人口（万人）公路货运量(万吨)城镇化率农村居民人均住房面积（平方米）渝中区2242330115037521433959.569341000.00大渡口区3125659240502746787809918.39232710046.95江北区29962473836863491629694545.91182910032.06沙坪坝区46245696192290134825700658.14122410047.05九龙坡区666596790486148893913123358.87131310040.11南岸区38990825086068050417525447.63243710048.16北碚区265158711896934846810606830.86125471.2441.26渝北区6051440240448158546223362144.07220166.4442.32巴南区351251734531378967812022928.88125169.3939.23万盛区32961862386315683336113.23231770.8145.79双桥区82466544425263262412.8220592.8333.85涪陵区308584937531391268223539633.0485453.9136.07长寿区155345128244650742717279021.46121048.739.41江津区235458656704851258618835940.02121253.838.53合川区88123247009229372117138532.04140050.838.33永川区136723736644966020814216729.72284454.636.91南川区8866442784591532846797411.7135144.937.56綦江县8622653236219669410249822.18290537.4135.51潼南县2379763193984490833830411.9936228.730.81铜梁县72332926459317414012351614.9529636.4139.98大足县6914312957001745268137417.72102034.3435.51荣昌县119565531075815116210588318.5125736.4132.83璧山县157187915499213806213522715.9285937.9242.00万州区173825742457196609614739951.06172051.0237.55梁平县438658254423925034016611.8165031.743.14城口县157206547966520142662.9510120.3930.52丰都县235975216427951393686315.0512528.5135.04垫江县5290922625971621915247914.43112330.635.90忠 县2775962760322081154148616.0120328.937.17开 县4208193874862926894822621.29642.63240.84云阳县1017032885961122302614118.4026028.434.71奉节县903902762751589893854413.2215828.1628.38巫山县773541507161031752403810.2937025.5229.90巫溪县5826311796630406137856.2919220.135.72黔江区4385201399431183716833710.3621432.5534.33武隆县15981914247055382373955.9220229.9436.19石柱县19847716718863355282758.8341923.0343.45秀山县43885514523952199400928.6214523.4438.28酉阳县11063918337995461254198.5626020.0335.57彭水县203829179654209276351506.6711521.3233.05实验七SPSS主成份分析一、实验目的学习利用SPSS进行主成份分析二、实验内容和步骤1、选AnalyzeData ReductionFactor进入主对话框；2、把变量选入Variables，然后点击Extraction，3、在Method选择一个方法（如果是主成分分析，则选Prin
