关于统计软件SPSS的应用举例.doc

关于统计软件SPSS的应用举例 统计软件SPSS是全球专业统计分析软件的领导者，它包含了丰富的统计分析方法，在社会工作中有很多实际的应用。我们可以举例如下：我们对某国有企业的366位员工的当前收入和以前的收入进行了调查，得出以下数据，因数据较多暂不列出，见下面软件的数据输入。其中有男职工206人，女职工160人，一线工人285人，科以上的干部26人，机关员工55人。请利用统计软件SPSS分析如下问题：（1）建立收入与性别、工作性质之间的回归模型，并作出分析、（2）工作性质的不同对当前收入是否有显著影响、（3）当前工资与以前的工资是否有差异。利用统计软件SPSS进行分析：在统计软件SPSS中输入如下：其中第一列数据为当前工资；第二列为工作性质，其中的1表示一线工人，2表示科以上的干部，3表示一般机关员工；第三列为以前工资；第四列为性别，其中1表示性别为男，2为女；第五列为收入的增量。283501270001135027750318750190003510011020022490027300113500113800408001150001258004600011800012800052125218000134125618752287401331352130031305018250196503157502390022350315750266002340011470028700243001157502855031050115750115300603751135001468753255011500011755031200110200121000361501287401741042000113050128950920002157501762508125021575016550031350312750218600291001111001180002235039000213350300001900022100030750112600118150348001274801732060000114250145750355501799801-444304515011425013090073750114250159500250501450001-1995027000315000112000268503399901-1314033900330000139002640031125021515028050113500114550309001150001159002250011500017500480001900013900055000111550143450531251165001366252190011425017650781252142501638754600011350013250045250112750132500565501165001400504110011410012700082500216500166000540001237302302702640011500021140033900115000218900241503262502-210029250313500215750216003150002660034410313500220910207001157502495047550113500134050339001142501196502340011500028400328501975022310055750121750234000252001262502-1050262501210001525026400114550111850391501300001915068750121240147510162001214802-5280201001250002-49002400012025023750259501349802-903024600118000266002850011050021800030750119500111250402001115501286503000011155011845022050111400210650782501105001677506062511455014607539900118000121900970002109501860502745011425011320031650111250120400912502109501803002520011710028100210001157502525030450114100116350283501287401-390307501274801327030750197501210003255011125022130033300110950222350385501109502276002745011005011740024300110500113800307501150001157501965011950021506875011500015375059375110950148425315001274801402027300122500148002700011575011125041550135010265402625011575021050022200113500187006500012949013551030900114400116500201001115502855022350115000273503555011800021755028500190002195002445011500029450166501274802-10830267001165001102004395011410012985023700116500172002655011875027800276001142501133502580011410011170042300115750126550307501105001202502670031350021320020850315000258503525031650011875026700315000111700265503150002115502775031500021275025050397502153006600022751013849052650230000122650456252157501298753090011725011365029400115750213650333001249902831021900110950210950181501150002315046875137500293752550011500011050026550113200113350267001135001132002985011335021650069250113950155300319501132001187502625019750116500357001135002222002850012325025250171001135002360025200114250110950240001150002900027450115000212450184501262502-78003930011500012430038850112900125950307501120001187503750011500012250058750115000143750345001130502214503600011200022400029100312750216350165001474902-3099019650119500115024750123250215002715011500021215026400116500299002310011350029600549001975014515070875297501611255125011725013400067500214400153100293401150001143403960011350012610029100115000114100331501424801-9330667501150001517503375011560011815027300117250110050240001165002750019800110200296003060031305011755028950312750116200384003102001282003075031020012055020400315750246501920031500024200301503150001151503462032040011422080000221750158250253501187501660029850119980198702400011650027500277501102002175502235011275029600162001120002420021900115750261502325011275021050033900112000221900256501255002150172501435002-26250225001274801-4980402001349801522055500119500136000265501165001100505055011500013555075000116500158500274501525002-250502265011500027650273001172502100502775011125021650054375110200244175220501165002555025500115000210500282001165002117002310011500028100255001109501145501710011110026000681253157501523753060012775012850199501157502420023400115000284003450011575021875018150313800243502235031950012850402003102001300002865031020011845027750312750115000668752157501511253000011200011800083750214250169500339001102001237005650011500014150043000121000222000208501337502-129002445011500029450247501195002525034500131500130002790011200011590024000111250112750268501112501156002340011122521217524600118750258503255011020022235026550118000185503150011095012055022350110950111400352501115501237002580011125021455030750110950119800307501109501198005000011200013800034500112750121750262501112501150004487511140013347522500110200212300256501324902-684021300115750255502985012748022370345001367502-225027750111550116200277501112501165004875011125013750043410111250132160220501109501111002205011125021080026700111250115450550002112501437506250021725014525027300310950116350244503150002945033000317250215750370503180002190502445031650027950319503319801-30472502157501315002610032175024350159003165002-6002370032100022700217503174902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当前工资与性别、工作类型之间的相关系数为：R=0.441，相关性较低。（2）工作性质的不同对当前收入是否有显著影响对于这个问题，我们可看成是问的是当前收入与工作性质之间的相关性，可建立回归模型求它们之间的相关性；而实际上这也是一个单因素方差分析问题，我们可利用非参数分析的方法里的Kruskal-Wallis H检验方法去分析。具体操作如下：AnalyzeNo