SPSS应用案例

1SPSS应用案例关于高校本科生就业相关问题的调查研究2高校本科毕业生是我国宝贵的人力资源，由但于相关体制的不合理以及受当前经济形势的影响，就业成立困扰毕业生的很大的问题。为了使这种强大的人力资源有效转化为生产力，从而在建设有中国特色的社会主义市场经济中发挥应有的作用，我们有必要对高校本科生就业问题展开分析。SPSS作为一种功能强大的统计分析软件，完全可以用来进行高校本科就业问题的相关调查研究，定量分析变量之间的联系与区别。下面我们就来介绍一下SPSS在高校本科生就业调查研究中的应用。3关于高校本科生就业相关问题的调查研究一、研究背景及目的（略）二、研究方法三、研究过程四、研究结论4一、研究背景及目的（略）…………某高校就业指导中心的相关工作人员决定对其学校面临毕业的本科生进行相关调查研究，以发现学生的就业理念，从而为其部门后续的就业指导工作开展做好准备。5二、研究方法基本思路：首先根据研究需要设计出调查问卷，然后使用设计好的调查问卷对面临毕业的本科生展开调查，再使用SPSS的相关数据处理方法对收集上来的问卷进行处理，提取有效信息，分析变量之间的联系与区别，总结研究结论。采用的数据分析方法主要有：列联表分析、方差分析、相关分析、聚类分析。6三、研究过程1、根据研究需要设计的调查问卷本科生就业情况的调查问卷2、进行问卷调查并将所得到的数据录入到SPSS中3、SPSS分析7列联表分析1•选择“分析—描述统计—交叉表”•定义行变量（性别）•定义列变量（专业、家庭住址）89CaseProcessingSummary283100.0%0.0%283100.0%283100.0%0.0%283100.0%性别*专业性别*家庭住址NPercentNPercentNPercentValidMissingTotalCases性别*专业Crosstabulation51404413537.8%29.6%32.6%100.0%49.5%32.0%80.0%47.7%18.0%14.1%15.5%47.7%52851114835.1%57.4%7.4%100.0%50.5%68.0%20.0%52.3%18.4%30.0%3.9%52.3%1031255528336.4%44.2%19.4%100.0%100.0%100.0%100.0%100.0%36.4%44.2%19.4%100.0%Count%within性别%within专业%ofTotalCount%within性别%within专业%ofTotalCount%within性别%within专业%ofTotal男女性别Total理工农医类文科类艺体类专业Total卡方检验值df渐进Sig.(双侧)Pearson卡方35.487a2.000似然比37.1842.000线性和线性组合6.7361.009有效案例中的N283a.0单元格(.0%)的期望计数少于5。最小期望计数为26.24。11性别*家庭住址Crosstabulation459013533.3%66.7%100.0%23.4%98.9%47.7%15.9%31.8%47.7%147114899.3%.7%100.0%76.6%1.1%52.3%51.9%.4%52.3%1929128367.8%32.2%100.0%100.0%100.0%100.0%67.8%32.2%100.0%Count%within性别%within家庭住址%ofTotalCount%within性别%within家庭住址%ofTotalCount%within性别%within家庭住址%ofTotal男女性别Total农村城市家庭住址Total12列联表分析2•选择“分析—描述统计—交叉表”•定义行变量（是否签约）•定义列变量（就业形势、预期薪酬、理想就业单位、培养模式、在校努力、所学专业）13CaseProcessingSummary283100.0%0.0%283100.0%283100.0%0.0%283100.0%283100.0%0.0%283100.0%283100.0%0.0%283100.0%283100.0%0.0%283100.0%283100.0%0.0%283100.0%是否签约*就业形势是否签约*预期薪酬是否签约*理想就业是否签约*培养模式是否签约*在校努力是否签约*所学专业NPercentNPercentNPercentValidMissingTotalCases14是否签约*就业形势Crosstabulation033153186.0%17.7%82.3%100.0%.0%31.4%86.4%65.7%.0%11.7%54.1%65.7%17224971.0%74.2%24.7%100.0%100.0%68.6%13.6%34.3%.4%25.4%8.5%34.3%1105177283.4%37.1%62.5%100.0%100.0%100.0%100.0%100.0%.4%37.1%62.5%100.0%Count%within是否签约%within就业形势%ofTotalCount%within是否签约%within就业形势%ofTotalCount%within是否签约%within就业形势%ofTotal否是是否签约Total很乐观比较乐观比较悲观就业形势Total15是否签约*预期薪酬Crosstabulation3315318617.7%82.3%100.0%31.4%86.0%65.7%11.7%54.1%65.7%72259774.2%25.8%100.0%68.6%14.0%34.3%25.4%8.8%34.3%10517828337.1%62.9%100.0%100.0%100.0%100.0%37.1%62.9%100.0%Count%within是否签约%within预期薪酬%ofTotalCount%within是否签约%within预期薪酬%ofTotalCount%within是否签约%within预期薪酬%ofTotal否是是否签约Total2000-4000元4000-6000元预期薪酬Total16是否签约*理想就业Crosstabulation99870018653.2%46.8%.0%.0%100.0%69.7%95.6%.0%.0%65.7%35.0%30.7%.0%.0%65.7%4344379744.3%4.1%44.3%7.2%100.0%30.3%4.4%100.0%100.0%34.3%15.2%1.4%15.2%2.5%34.3%1429143728350.2%32.2%15.2%2.5%100.0%100.0%100.0%100.0%100.0%100.0%50.2%32.2%15.2%2.5%100.0%Count%within是否签约%within理想就业%ofTotalCount%within是否签约%within理想就业%ofTotalCount%within是否签约%within理想就业%ofTotal否是是否签约Total政府部门国有企业外资企业私营企业理想就业Total17是否签约*培养模式Crosstabulation09294186.0%49.5%50.5%100.0%.0%100.0%69.1%65.7%.0%32.5%33.2%65.7%550429756.7%.0%43.3%100.0%100.0%.0%30.9%34.3%19.4%.0%14.8%34.3%559213628319.4%32.5%48.1%100.0%100.0%100.0%100.0%100.0%19.4%32.5%48.1%100.0%Count%within是否签约%within培养模式%ofTotalCount%within是否签约%within培养模式%ofTotalCount%within是否签约%within培养模式%ofTotal否是是否签约Total契合的很好不是很适合差距非常大培养模式Total18是否签约*在校努力Crosstabulation0186186.0%100.0%100.0%.0%83.4%65.7%.0%65.7%65.7%60379761.9%38.1%100.0%100.0%16.6%34.3%21.2%13.1%34.3%6022328321.2%78.8%100.0%100.0%100.0%100.0%21.2%78.8%100.0%Count%within是否签约%within在校努力%ofTotalCount%within是否签约%within在校努力%ofTotalCount%within是否签约%within在校努力%ofTotal否是是否签约Total成正比没什么关系在校努力Total19是否签约*所学专业Crosstabulation1137318660.8%39.2%100.0%74.3%55.7%65.7%39.9%25.8%65.7%39589740.2%59.8%100.0%25.7%44.3%34.3%13.8%20.5%34.3%15213128353.7%46.3%100.0%100.0%100.0%100.0%53.7%46.3%100.0%Count%within是否签约%within所学专业%ofTotalCount%within是否签约%within所学专业%ofTotalCount%within是否签约%within所学专业%ofTotal否是是否签约Total一致不要差距很大所学专业Total20方差分析1•选择“分析—比较均值—单因素方差分析”•因变量列表（性别影响、形象影响、英语水平、计算机水平、毕业院校、专业背景、资格证书、社会实践经历、在校成绩）•因子列表（性别）2122ANOVA17.859117.85916.373.000306.5012811.091324.36028217.859117.85916.373.000306.5012811.091324.3602826.91516.9159.039.003214.965281.765221.8802826.91516.9159.039.003214.965281.765221.8802826.58716.58731.000.00059.710281.21266.2972826.58716.58731.000.00059.710281.21266.297282122.4501122.450117.762.000292.1862811.040414.63628227.642127.64232.840.000236.527281.842264.17028228.046128.046206.266.00038.208281.13666.254282BetweenGroupsWithinGroupsTotalBetweenGroupsWithinGroupsTotalBetweenGroupsWithinGroupsTotalBetweenGroupsWithinGroupsTotalBetweenGroupsWithinGroupsTotalBetweenGroupsWithinGroupsTotalBetweenGroupsWithinGroupsTotalBetweenGroupsWithinGroupsTotalBetweenGroupsWithinGroupsTotal性别影响形象影响英语水平计算机水毕业院校专业背景资格证书社会实践成绩影响SumofSquaresdfMeanSquareFSig.•问题：方差齐性检验结果？24方差分析2•选择“分析—比较均值—单因素方差分析”•因变量列表（性别影响、形象影响、英语水平、计算机水平、毕业院校、专业背景、资格证书、社会实践经历、在校成绩）•因子列表（专业）25ANOVA13.48826.7446.074.003310.8722801.110324.36028213.488