Baidu
map

研究设计与统计

订阅

MedSci主页 / 所有栏目 / 研究设计与统计

SPSS进行多相关样本的非参数检验（Friedman检验）

2017-10-17 MedSci MedSci原创

SPSS非参数
关注

一、案例 2010年世博会期间，参观人数众多，为了比较各个时间段的入园人数有无差别，收集了以下的数据： 日期：统计的日期 a：该日12-14点的入园人数 b：该日14-16点的入园人数 c：该日16-18点的入园人数 d：该日18-20点的入园人数 目的是分析上述四个时间段的入园人数有无差异。显然，四组数据并不独立，不能满足普通方差分析的条件，可以使用重复测量的方差分析。但考虑到入园

一、案例 2010年世博会期间，参观人数众多，为了比较各个时间段的入园人数有无差别，收集了以下的数据： 日期：统计的日期 a：该日12-14点的入园人数 b：该日14-16点的入园人数 c：该日16-18点的入园人数 d：该日18-20点的入园人数 目的是分析上述四个时间段的入园人数有无差异。显然，四组数据并不独立，不能满足普通方差分析的条件，可以使用重复测量的方差分析。但考虑到入园人数波动大，存在极端值，这里采用非参数检验的方法，即Friedman检验。 二、操作步骤 菜单的选择   主对话框：   进入“字段”选项卡，选入四个时间点字段：   进入“设置”选项卡，选择Friedman检验，多重比较选择“逐步降低”（类似SNK法）：     四、结果解读 这是模型的统计摘要，P<0.001，可见各个时间点的入园人数有统计学差异。 双击该图标，进入模型查看界面：   两两比较：   在上图下方的“视图”下拉菜单中选择“齐性子集”，进入下图： 可见，四组数据被分成3个子集，12-14点、16-18点入园人数最多，

版权声明：
本网站所有内容来源注明为“梅斯医学”或“MedSci原创”的文字、图片和音视频资料，版权均属于梅斯医学所有。非经授权，任何媒体、网站或个人不得转载，授权转载时须注明来源为“梅斯医学”。其它来源的文章系转载文章，或“梅斯号”自媒体发布的文章，仅系出于传递更多信息之目的，本站仅负责审核内容合规，其内容不代表本站立场，本站不负责内容的准确性和版权。如果存在侵权、或不希望被转载的媒体或个人可与我们联系，我们将立即进行删除处理。
在此留言
评论区 (6)
#插入话题
  1. [GetPortalCommentsPageByObjectIdResponse(id=348779, encodeId=3479348e79cf, content=而且，这个检验应该说明入园人数最高的哪两个没有统计差异, beContent=null, objectType=article, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b9922458493, createdName=12410874m33暂无昵称, createdTime=Wed Oct 10 17:23:30 CST 2018, time=2018-10-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=348778, encodeId=f815348e78db, content=如果friedman那一栏不选逐步降低，选成对比较，结果是不是不一致, beContent=null, objectType=article, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b9922458493, createdName=12410874m33暂无昵称, createdTime=Wed Oct 10 17:17:05 CST 2018, time=2018-10-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2045923, encodeId=fe74204592338, content=<a href='/topic/show?id=7e8e99343d4' target=_blank style='color:#2F92EE;'>#非参数检验#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=85, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=99343, encryptionId=7e8e99343d4, topicName=非参数检验)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=2ba9118, createdName=makuansheng, createdTime=Sat Dec 23 16:40:00 CST 2017, time=2017-12-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2075716, encodeId=6e0620e571620, content=<a href='/topic/show?id=27dd993421f' target=_blank style='color:#2F92EE;'>#非参数#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=61, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=99342, encryptionId=27dd993421f, topicName=非参数)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=af68384, createdName=hanhaisha2008, createdTime=Thu Aug 09 07:40:00 CST 2018, time=2018-08-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1669377, encodeId=c78b16693e73c, content=<a href='/topic/show?id=9d7b620395d' target=_blank style='color:#2F92EE;'>#样本#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=70, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=62039, encryptionId=9d7b620395d, topicName=样本)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f33226554040, createdName=zhzhxiang, createdTime=Thu Feb 15 18:40:00 CST 2018, time=2018-02-15, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=253731, encodeId=6668253e31a0, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=85, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/NUyjXTCJjo4cyIbibqa2VuNGCKeyRxITYNqLTIaoFo3Jx2LSawp8yrFSs1CIXKv1jyXV97ecnxhhktGKkPP9onfJFZCbiayLgic/0, createdBy=3f1c1956638, createdName=1e127dd4m40(暂无匿称), createdTime=Tue Oct 17 14:03:34 CST 2017, time=2017-10-17, status=1, ipAttribution=)]
    2018-10-10 12410874m33暂无昵称

    而且，这个检验应该说明入园人数最高的哪两个没有统计差异

    0

  2. [GetPortalCommentsPageByObjectIdResponse(id=348779, encodeId=3479348e79cf, content=而且，这个检验应该说明入园人数最高的哪两个没有统计差异, beContent=null, objectType=article, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b9922458493, createdName=12410874m33暂无昵称, createdTime=Wed Oct 10 17:23:30 CST 2018, time=2018-10-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=348778, encodeId=f815348e78db, content=如果friedman那一栏不选逐步降低，选成对比较，结果是不是不一致, beContent=null, objectType=article, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b9922458493, createdName=12410874m33暂无昵称, createdTime=Wed Oct 10 17:17:05 CST 2018, time=2018-10-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2045923, encodeId=fe74204592338, content=<a href='/topic/show?id=7e8e99343d4' target=_blank style='color:#2F92EE;'>#非参数检验#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=85, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=99343, encryptionId=7e8e99343d4, topicName=非参数检验)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=2ba9118, createdName=makuansheng, createdTime=Sat Dec 23 16:40:00 CST 2017, time=2017-12-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2075716, encodeId=6e0620e571620, content=<a href='/topic/show?id=27dd993421f' target=_blank style='color:#2F92EE;'>#非参数#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=61, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=99342, encryptionId=27dd993421f, topicName=非参数)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=af68384, createdName=hanhaisha2008, createdTime=Thu Aug 09 07:40:00 CST 2018, time=2018-08-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1669377, encodeId=c78b16693e73c, content=<a href='/topic/show?id=9d7b620395d' target=_blank style='color:#2F92EE;'>#样本#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=70, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=62039, encryptionId=9d7b620395d, topicName=样本)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f33226554040, createdName=zhzhxiang, createdTime=Thu Feb 15 18:40:00 CST 2018, time=2018-02-15, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=253731, encodeId=6668253e31a0, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=85, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/NUyjXTCJjo4cyIbibqa2VuNGCKeyRxITYNqLTIaoFo3Jx2LSawp8yrFSs1CIXKv1jyXV97ecnxhhktGKkPP9onfJFZCbiayLgic/0, createdBy=3f1c1956638, createdName=1e127dd4m40(暂无匿称), createdTime=Tue Oct 17 14:03:34 CST 2017, time=2017-10-17, status=1, ipAttribution=)]
    2018-10-10 12410874m33暂无昵称

    如果friedman那一栏不选逐步降低，选成对比较，结果是不是不一致

    0

  3. [GetPortalCommentsPageByObjectIdResponse(id=348779, encodeId=3479348e79cf, content=而且，这个检验应该说明入园人数最高的哪两个没有统计差异, beContent=null, objectType=article, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b9922458493, createdName=12410874m33暂无昵称, createdTime=Wed Oct 10 17:23:30 CST 2018, time=2018-10-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=348778, encodeId=f815348e78db, content=如果friedman那一栏不选逐步降低，选成对比较，结果是不是不一致, beContent=null, objectType=article, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b9922458493, createdName=12410874m33暂无昵称, createdTime=Wed Oct 10 17:17:05 CST 2018, time=2018-10-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2045923, encodeId=fe74204592338, content=<a href='/topic/show?id=7e8e99343d4' target=_blank style='color:#2F92EE;'>#非参数检验#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=85, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=99343, encryptionId=7e8e99343d4, topicName=非参数检验)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=2ba9118, createdName=makuansheng, createdTime=Sat Dec 23 16:40:00 CST 2017, time=2017-12-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2075716, encodeId=6e0620e571620, content=<a href='/topic/show?id=27dd993421f' target=_blank style='color:#2F92EE;'>#非参数#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=61, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=99342, encryptionId=27dd993421f, topicName=非参数)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=af68384, createdName=hanhaisha2008, createdTime=Thu Aug 09 07:40:00 CST 2018, time=2018-08-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1669377, encodeId=c78b16693e73c, content=<a href='/topic/show?id=9d7b620395d' target=_blank style='color:#2F92EE;'>#样本#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=70, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=62039, encryptionId=9d7b620395d, topicName=样本)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f33226554040, createdName=zhzhxiang, createdTime=Thu Feb 15 18:40:00 CST 2018, time=2018-02-15, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=253731, encodeId=6668253e31a0, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=85, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/NUyjXTCJjo4cyIbibqa2VuNGCKeyRxITYNqLTIaoFo3Jx2LSawp8yrFSs1CIXKv1jyXV97ecnxhhktGKkPP9onfJFZCbiayLgic/0, createdBy=3f1c1956638, createdName=1e127dd4m40(暂无匿称), createdTime=Tue Oct 17 14:03:34 CST 2017, time=2017-10-17, status=1, ipAttribution=)]
    2017-12-23 makuansheng

    #非参数检验#

    0

  4. [GetPortalCommentsPageByObjectIdResponse(id=348779, encodeId=3479348e79cf, content=而且，这个检验应该说明入园人数最高的哪两个没有统计差异, beContent=null, objectType=article, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b9922458493, createdName=12410874m33暂无昵称, createdTime=Wed Oct 10 17:23:30 CST 2018, time=2018-10-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=348778, encodeId=f815348e78db, content=如果friedman那一栏不选逐步降低，选成对比较，结果是不是不一致, beContent=null, objectType=article, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b9922458493, createdName=12410874m33暂无昵称, createdTime=Wed Oct 10 17:17:05 CST 2018, time=2018-10-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2045923, encodeId=fe74204592338, content=<a href='/topic/show?id=7e8e99343d4' target=_blank style='color:#2F92EE;'>#非参数检验#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=85, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=99343, encryptionId=7e8e99343d4, topicName=非参数检验)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=2ba9118, createdName=makuansheng, createdTime=Sat Dec 23 16:40:00 CST 2017, time=2017-12-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2075716, encodeId=6e0620e571620, content=<a href='/topic/show?id=27dd993421f' target=_blank style='color:#2F92EE;'>#非参数#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=61, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=99342, encryptionId=27dd993421f, topicName=非参数)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=af68384, createdName=hanhaisha2008, createdTime=Thu Aug 09 07:40:00 CST 2018, time=2018-08-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1669377, encodeId=c78b16693e73c, content=<a href='/topic/show?id=9d7b620395d' target=_blank style='color:#2F92EE;'>#样本#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=70, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=62039, encryptionId=9d7b620395d, topicName=样本)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f33226554040, createdName=zhzhxiang, createdTime=Thu Feb 15 18:40:00 CST 2018, time=2018-02-15, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=253731, encodeId=6668253e31a0, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=85, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/NUyjXTCJjo4cyIbibqa2VuNGCKeyRxITYNqLTIaoFo3Jx2LSawp8yrFSs1CIXKv1jyXV97ecnxhhktGKkPP9onfJFZCbiayLgic/0, createdBy=3f1c1956638, createdName=1e127dd4m40(暂无匿称), createdTime=Tue Oct 17 14:03:34 CST 2017, time=2017-10-17, status=1, ipAttribution=)]
    2018-08-09 hanhaisha2008

    #非参数#

    0

  5. [GetPortalCommentsPageByObjectIdResponse(id=348779, encodeId=3479348e79cf, content=而且，这个检验应该说明入园人数最高的哪两个没有统计差异, beContent=null, objectType=article, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b9922458493, createdName=12410874m33暂无昵称, createdTime=Wed Oct 10 17:23:30 CST 2018, time=2018-10-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=348778, encodeId=f815348e78db, content=如果friedman那一栏不选逐步降低，选成对比较，结果是不是不一致, beContent=null, objectType=article, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b9922458493, createdName=12410874m33暂无昵称, createdTime=Wed Oct 10 17:17:05 CST 2018, time=2018-10-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2045923, encodeId=fe74204592338, content=<a href='/topic/show?id=7e8e99343d4' target=_blank style='color:#2F92EE;'>#非参数检验#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=85, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=99343, encryptionId=7e8e99343d4, topicName=非参数检验)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=2ba9118, createdName=makuansheng, createdTime=Sat Dec 23 16:40:00 CST 2017, time=2017-12-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2075716, encodeId=6e0620e571620, content=<a href='/topic/show?id=27dd993421f' target=_blank style='color:#2F92EE;'>#非参数#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=61, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=99342, encryptionId=27dd993421f, topicName=非参数)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=af68384, createdName=hanhaisha2008, createdTime=Thu Aug 09 07:40:00 CST 2018, time=2018-08-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1669377, encodeId=c78b16693e73c, content=<a href='/topic/show?id=9d7b620395d' target=_blank style='color:#2F92EE;'>#样本#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=70, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=62039, encryptionId=9d7b620395d, topicName=样本)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f33226554040, createdName=zhzhxiang, createdTime=Thu Feb 15 18:40:00 CST 2018, time=2018-02-15, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=253731, encodeId=6668253e31a0, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=85, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/NUyjXTCJjo4cyIbibqa2VuNGCKeyRxITYNqLTIaoFo3Jx2LSawp8yrFSs1CIXKv1jyXV97ecnxhhktGKkPP9onfJFZCbiayLgic/0, createdBy=3f1c1956638, createdName=1e127dd4m40(暂无匿称), createdTime=Tue Oct 17 14:03:34 CST 2017, time=2017-10-17, status=1, ipAttribution=)]
    2018-02-15 zhzhxiang

    #样本#

    0

  6. [GetPortalCommentsPageByObjectIdResponse(id=348779, encodeId=3479348e79cf, content=而且，这个检验应该说明入园人数最高的哪两个没有统计差异, beContent=null, objectType=article, channel=null, level=null, likeNumber=99, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b9922458493, createdName=12410874m33暂无昵称, createdTime=Wed Oct 10 17:23:30 CST 2018, time=2018-10-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=348778, encodeId=f815348e78db, content=如果friedman那一栏不选逐步降低，选成对比较，结果是不是不一致, beContent=null, objectType=article, channel=null, level=null, likeNumber=98, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b9922458493, createdName=12410874m33暂无昵称, createdTime=Wed Oct 10 17:17:05 CST 2018, time=2018-10-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2045923, encodeId=fe74204592338, content=<a href='/topic/show?id=7e8e99343d4' target=_blank style='color:#2F92EE;'>#非参数检验#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=85, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=99343, encryptionId=7e8e99343d4, topicName=非参数检验)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=2ba9118, createdName=makuansheng, createdTime=Sat Dec 23 16:40:00 CST 2017, time=2017-12-23, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=2075716, encodeId=6e0620e571620, content=<a href='/topic/show?id=27dd993421f' target=_blank style='color:#2F92EE;'>#非参数#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=61, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=99342, encryptionId=27dd993421f, topicName=非参数)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=af68384, createdName=hanhaisha2008, createdTime=Thu Aug 09 07:40:00 CST 2018, time=2018-08-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1669377, encodeId=c78b16693e73c, content=<a href='/topic/show?id=9d7b620395d' target=_blank style='color:#2F92EE;'>#样本#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=70, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=62039, encryptionId=9d7b620395d, topicName=样本)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f33226554040, createdName=zhzhxiang, createdTime=Thu Feb 15 18:40:00 CST 2018, time=2018-02-15, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=253731, encodeId=6668253e31a0, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=85, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/NUyjXTCJjo4cyIbibqa2VuNGCKeyRxITYNqLTIaoFo3Jx2LSawp8yrFSs1CIXKv1jyXV97ecnxhhktGKkPP9onfJFZCbiayLgic/0, createdBy=3f1c1956638, createdName=1e127dd4m40(暂无匿称), createdTime=Tue Oct 17 14:03:34 CST 2017, time=2017-10-17, status=1, ipAttribution=)]
    2017-10-17 1e127dd4m40(暂无匿称)

    学习了

    0

相关资讯

SPSS进行病例对照研究的1:1匹配分析

src="http://mmbiz.qpic.cn/mmbiz_png/tI71YDhoIbEWTKwQqNMtGicSjEkKNhBkCsVTJt3QzkLtGF9eupG45WBIYgPTGIb1c6eOqmRrhKgagoDGvMszmrQ/0?wx_fmt=png" data-ratio="0.3207831325301205" data-w="664" src="https://mmbi

深入吃透主成分分析原理：三种不同分析策略对比

评价一个主体的指标越多，我们就多一个角度去考察它，但是指标多了之后也会有另外一个麻烦，就是如何综合使用它们来评价主体呢？排名是生活中常见的事情，但一般情况下我们只知道最终的排名结果和排名参考指标，具体的排名算法我们并不清楚，今天我们将通过SPSS软件对排名问题进行研究，以探讨其潜在的逻辑！首先导入我们得到的源数据，数据中包含排名、高校名称以及6个供参考的指标数值。有一点我们可以确定，那就是这个最终

降维分析中更优尺度的SPSS分析

对于两组分类变量，一般通过主成分分析法进行降维，从而在一个二维的平面上直观的表现出两组变量的类别之间有什么关联。如果是多组分类变量呢？则往往可以通过最优尺度分析方法解决变这量之间的关联分析。 我们首先选择菜单分析——降维——最优尺度，打开最优尺度面板，我们看到，这是个很小的面板（梅斯小编：这不是回归里面的最优尺度回归分析哦）。 首先最佳度量水平里有两个选项，所有变量均为多重标称，或某些

更优尺度回归(CATREG)的SPSS分析

1、什么是最优尺度回归？英文简称CATREG，也称分类回归。　普通线性回归对数据的要求十分严格，当遇到分类变量时，线性回归无法准确地反映分类变量不同取值的距离，比如性别变量，男性和女性本身是平级的，没有大小、顺序、趋势区分，若直接纳入线性回归模型，则可能会失去自身的意义。最优尺度回归就是为了解决类似问题，它擅长将分类变量不同取值进行量化处理，从而将分类变量转换为数值型进行统计分析。可以说有了最优尺

SPSS用于正交试验优化设计及其方差分析

正交试验设计是我们动物实验经常用到的一个实验设计，他可以使我们的试验步骤缩小很多，让我们省去很多的时间以及，避免资金的浪费，而对于很多新手来说，spss如何进行正交设计，很多人都是懵懵懂懂，不太清楚，下面小编会给大家简单的讲解一下，这个内容，希望对大家有所帮助。 一、使用SPSS生成正交表：选择Data，在Orthogonal Design→Generate,打开“Generate Orth

有序回归的SPSS分析与解释

等级回归分析对应的英文为“ordinal regression”，也称有序回归，以等级变量做因变量建立模型来预测危险发生的概率，因变量中各个类别要按不同程度的顺序取值。 第一步：调用界面：分析---回归---有序 选择变量做因变量、因子、协变量。 通过频数描述知，等级越高，概率即数目越多，所以选则“补充对数-对数”即complementary log-

Baidu
map
Baidu
map
Baidu
map