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MeasurementSystemsAnalysis(MSA)Attribute特性数据MSATheBreakthroughStrategy®AndMeasurementSystemEvaluationModuleObjectivesTypicalMeasurementSystemsPurposeOfAttributeMSAAttributeDataWithUnorderedCategories非顺序型的属性数据–KappaKappacomparestheproportionofagreementbetweenAppraisersafterremovingagreementbychance/Kappa比较了评价者之间去除了的偶然性的一致性比率TheproportionthatthejudgesareinagreementisPobserved/判断一致的比率是PobservedTheproportionexpectedtooccurbychanceis:由于偶然性一致的比率Pchance=(PInsp1Good)(PInsp2Good)+(PInsp1Bad)(PInsp2Bad)1.WhatwouldtheKappabeifthejudgesagreedoneverypart?/如果每个零件的判定都一致Kappa是多少?2.HowwouldyouinterpretaKappaofzero?怎么解释Kappa为0?3.WhatwouldbetheKappaifthejudgesneveragreed?如果判定都不一致Kappa又是多少?HowToCalculateKappa–ByHandHowToInterpretKappaResultsAttributeData–KappaExerciseSKappaExercise–DataCollectionFormKappaAnalysisInMINITABAttributeGageR&RStudyAttributeGageR&RStudyforJ1T1J1T2J2T1J2T2WithinAppraiserAssessmentAgreementAppraiser#Inspected#MatchedPercent(%)95.0%CI1201995.0(75.199.9)2201890.0(68.398.8)#Matched:Appraiseragreeswithhim/herselfacrosstrials.KappaStatisticsAppraiserResponseKappaSEKappaZP(vs.>0)1b0.89970.22364.02380.000g0.89970.22364.02380.0002b0.80000.22363.57770.000g0.80000.22363.57770.000BetweenAppraisersAssessmentAgreement#Inspected#MatchedPercent(%)95.0%CI201890.0(68.398.8)#Matched:AllAppraisers'assessmentsagreewitheachother.KappaStatisticsResponseKappaSEKappaZP(vs.>0)b0.88330.09139.67560.000g0.88330.09139.67560.000GuidelinesForKappaStudiesGui