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时间:2018-10-12
《datascreening-【英文】spss分析前的数据处理-缺失数据,极端数据,正态检验和非正态处理》由会员上传分享,免费在线阅读,更多相关内容在工程资料-天天文库。
1、Statistics-Spring2008Lab#1-DataScreeningThepurposeofdatascreeningisto:(a)checkifdatahavebeenenteredcorrectly,suchasout-of-rangevalues.(b)checkformissingvalues,anddecidinghowtodealwiththemissingvalues•(c)checkforoutliers,anddecidinghowtodealwithoutliers.(d)checkf
2、ornormality,anddecidinghowtodealwithnon-normality.1.Findingincorrectlyentereddata■Yourfirststepwith“DataScreening”isusing“Frequencies”1.SelectAnalyze—>DescriptiveStatistics—>Frequencies2.Moveallvariablesintothe“Variable(s)”window.3.ClickOK.■Outputbelowisforonlyt
3、hefour“system”variablesinourdatasetbecausecopy/pastingtheoutputforallvariablesinourdatasetwouldtakeuptoomuchspaceinthisdocument.■The“Statistics”boxtellsyouthenumberofmissingvaluesforeachvariable.Wewillusethisinformationlaterwhenwearediscussingmissingvalues.Stati
4、sticssystem1system2system3system4NValid327326325327Missing0120■Eachvariableisthenpresentedasafrequencytable.Forexample,belowweseetheoutputfor“system1”.Bylookingatthecodingmanualforthe“Legalbeliefs”survey,youcanseethattheavailableresponsesfor“system1”are1through1
5、1.Bylookingattheoutputbelow,youcanseethatthereisanumberout-of-range:“13”.(NOTE-inyourdatasettherewillnotbea“13”becauseIgaveyouthescreeneddataset,soIhaveincludedthe“13”intothisexampletoshowyouwhatitlookslikewhenanumberisoutofrange.)Since13isaninvalidnumber,youthe
6、nneedtoidentifywhy“13”wasentered.Forexample,didthepersonenteringdatamakeamistake?Or,didthesubjectrespondwitha“13”eventhoughthequestionindicatedthatonlynumbers1through11arevalid?Youcanidentifythesourceoftheerrorbylookingatthehardcopiesofthedata.Forexample,firstid
7、entifywhichsubjectindicatedthe“13”byclickingonthevariablenametohighlightit(system1),andthenusingthe“find”functionby:Edit―>Find,andthenscrollingtothelefttoidentifythesubjectnumber.Then,huntdownthehardcopyofthedataforthatsubjectnumber.systemlFrequencyPercentValidP
8、ercentCumulativePercentValid141.21.21.222.6.61.83134.04.05.84206.16.111.95175.25.217.164313.113.130.374413.513.543.787522.922.966.797623.223.289.910257.67.697.61172.1
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