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PCAPPNegotiatedProjectDrClaireLucas,SchoolofEngineering,UniversityofWarwick
ActionprioritisationandKANOanalysisofstudentsurveyresponses
1 Introduction
1.1 NSSandTEF
TheNationalStudentSurvey(NSS)isanannualsurveyoffinalyearundergraduatestudentsdesigned
toassessthequalityofundergraduatedegreeprogrammesbasesonresponsesto22itemsin6factors
(teaching, assessment and feedback, academic support, organisation and management, learning
resourcesandpersonaldevelopment).ThesurveyisconductedbyIpsos-MorionbehalfoftheHigher
EducationFundingCouncilforEngland.Itisproposedthatthescoresachievedwillbepartofaseries
ofmetricsusedtoformtheTeachingExcellenceFramework(TEF)from2017whichwillgiveascore
for university courses which is linked to fees in future. Succeeding in the NSS is therefore vitally
importantforthefutureincomeofthedepartment.TheSchoolofEngineeringinWarwickdoesnot
scorehighlyinNSScomparedtocompetitors.Therearemanypotentialreasonsforthisasdescribed
inthisreport.
1.2 ModuleSurveys
Theuseofmodulesurveyscanhelptoidentifygoodandbadindividualteachingwithinadepartment.
Theycanbeembeddedintoacontinuousimprovementprocesswithdataownedbythedepartment.
Modulesurveysareubiquitousamongstuniversitiesasamechanismforgathering feedbackabout
teachingfromstudents.
1.3 KanoModelling
Thevalidityofsatisfactionasameasureforgoodlearningwillnotbeaddressedinthisproject.Itis
evidentthatuniversitieswhichscorehighlyinNSSarenotthesameuniversitieswhichscorehighlyin
othermeasures.Whilstsomeconsiderthisevidencethatresearch-leduniversitiesdonotprioritise
goodteaching,otherssaythatthisisbecausetheexpectationsofstudents(anonstudents)differby
institution.ThelinkbetweenexpectationandsatisfactioninconsumerproductsisanalysedbyKano
modellingwhichcategorisesproductfeatureswithlabelssuchas‘essential’,‘nicetohave’,‘neutral’
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and‘reverse’.KanoanalysiswouldsaythattheexpectationofRangeRovercustomersisdifferentto
thoseofFordFocusandsoRangeRovercustomersareconsequentlyhardertoplease.
1.4 MotivationandAims
WarwickSchoolofEngineeringNSSratingsarelowcomparedtocompetitorsandalsocomparedto
other departments within Warwick. However, our alumni, external examiners, professional
institutionsandindustrycontactspraisethecalibreoftheWarwickprogramme,evencomparedto
graduatesfromotheruniversitieswithhighersatisfaction.Mostlikely,thesurveymeasuresthelevel
ofdisconnectbetweenexpectationandexperience.Expectationisrelatedtotheperceivedqualityof
theproductandisthereforenon-uniformacrossthesector.Themotivationfortheresearchdescribed
hereistothereforeexploretheuseofKanoanalysisonmodulesurveystoidentifythecategorieswhich
influencestudentsatisfaction.
Warwick does not provide templates, guidance or an embedded process for module surveys.
Therefore, a furthermotivation of this project was to establish practicewhichmay benefit other
departments.
2 LiteratureReview
2.1 Satisfaction
Customersatisfactionistheconceptthatthewayinwhichproductsandservicesmiss,meetorsurpass
expectationsgivesrisetoalevelofsatisfactionexperiencedbythecustomer/user.
“Consumer satisfaction with a product refers to the favorableness of the individual’s subjective
evaluationofthevariousoutcomesandexperiencesassociatedwithbuyingitorusingit”.(Hunt1977).
Herzberg’s two-factor theoryrelates toemployeesatisfactionandsays that thereare independent
driversof satisfactionanddissatisfaction (Herzberg1959). In1984,NoriakiKanoextended this to
customer satisfaction determining that there are 6 categories of product attributes which affect
satisfactiondifferently.Thetheoryincludes‘thresholdattributes’whicharethebinaryfeatures(either
presentornot)whichmustbepresentinordertosatisfy(acarmusthaveasteeringwheel).There
maybevaryingthresholdexpectationsdependentonproductprice(amoreexpensivecarshouldhave
buttonsonthesteeringwheeltocontrolthemusic).Linearattributesarethoseforwhich ‘more is
better’and‘lessisworse’.Attractivequalities‘surpriseanddelight’,theyareunexpectedbuthavea
largeinfluenceonsatisfaction.Therearealsofactorstowhichcustomersareindifferent(removingthe
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CDdriveonnewestlaptops).Further,thereareattributeswhichhaveonlyasmallinfluenceeitherway
andaretherefore‘notworththeeffort’.Finally,therearereversefeatureswhichactuallydecrease
satisfaction(thepesteringsalesman).
Table1:DescriptionofKanocategories
Figure1Witell,LarsandLofgren2007
In1991,theGapmodelSERVQUALemerged(Berry1991).Thisstatesthatsatisfactionoccurswhen
perceivedperformancemeetsorexceedsexpectationsandthatdissatisfactionoccurswhenthereisa
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negativegap.Itfocusesonservicereceivedatvaryingstagesofproductdelivery.Thereareseveral
gapsdefined:
TheCustomerGapisthedifferencebetweencustomerexpectations(accordingtocostandinfluenced
bybackground,advertising,lifestyleandavailableproductinformation)andtheperceptionbasedon
interactionwiththeservice.
The Knowledge Gap is the gap between customer expectation and management perception. It
determinesthatmanagershavenotcorrectlyinterpretedwhatcustomersexpect.
ThePolicyGapreflectstheincorrecttranslationofrequirementsintoserviceguidelinesforemployees.
TheDeliveryGapisthedifferencebetweentheservicespecificationandemployeedelivery.
TheCommunicationGapisthedifferencebetweenpromisesmadeandtheservicedelivered.
Satisfactionisthereforeanemotionalresponsebasedoninternalcollationoffactorsincludingactual
product/processorservicequalitycomparedwithexpectationsandpreferences.
2.2 SatisfactionEvaluation
Mostcommonly,surveysaredesignedaround‘factors’whicharebelievedtobethoseimportantto
customers. By giving a set of statements the survey requests a response on the Likert-scale (a
symmetricagree/disagreescale,Likert1932).TheNSSemploysthismethod.Eventhoughthistypeof
questionnaireisstraightforwardtoanalyse,theresultscannotdeterminethelevelofimportanceof
eachfactor.Itislikelythattheoverallsatisfactionisrelatedtoonlyafew(especiallyrecent)attributes
(Elliot2002).Satisfactioncaneitherbedeterminedatanaggregate(overall)orattribute(multifactor)
level.Thelatterassessesfactorsatisfactionandthensumsintoanoverallscore(Elliot2002).Thetwo
approachesdonotnecessarilycorrelate(Mittal1998).Kanosurveysaretwo-dimensionalinorderto
establishtheeffectofthepresenceorlackofindividualattributes.
2.3 StudentSatisfaction
Thereisalargebodyofknowledgeandmethodsforestablishingandmeasuringproductperformance
in termsof satisfaction.Mostoften, theexpectationsof a customerare linked to thepriceof the
productor service theyareusing. InUKHigherEducation, theprice factor isnotpresent sinceall
universitieschargethesamefees(thoughtheyarefreetochargeless). It isthereforeimportantto
contextualisetheroleofstudentsinrelationtothepreviouslydiscussedterminology.
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Guolla(1999)describeshowstudentsareoftenconsideredascustomerswhoconsume/experience
andconsiderthemselvesexpertconsumers.Thisisincontrasttostudentsasclientswhounderstand
theirneedsbutarereliantonexpertprofessionaladvice(suchasvisitingthedoctor).Studentscanalso
be the producer (Armstrong 1995) where the instructor is the resource. Finally, students can be
considered products which are marketed to potential employers. In the latter, the student is
concernedabouttheprojected‘brand’oftheUniversity.
Theexpectationofstudentsissetbyanumberofinputs:theexperienceofschoolinformingstudent
perceptionsoflearning,opendayvisitsandprospectusesdescribingthecoursetostudentsandword
ofmouthdescribing the reputationof theuniversity.Therearealsoanumberof compiled league
tableswhichtakeintoaccountemploymentratesaftergraduation,researchsuccessoftheuniversity,
contacttimeandretentionratesofstudentswhichimpactonstudentperceptions.Appleton-Knapp
(2006)presented thedifficultyofusingperception topredict satisfaction comparing the resultsof
expectationspriortostartinguniversityandattheendofthefirstsemester.
Rapert (2004) describes two quality dimensions in higher education: process and outcome. The
provision (teaching delivery and operation of course) is related to students as customers and is
different to the value of education (usefulness of knowledge gained) where students are clients.
Douglas,Douglas andBarnes (2006) separate the service-product into threeelements: facilitation,
explicit service and implicit service. The facilitation relates to lectures, tutorials, facilities and
resources,theexplicitserviceistheknowledgeofstaff,teachingabilityetc.andtheimplicitserviceis
thekindnessoflecturers,treatmentofstudentsandthefeelingthateffortisrewarded.
There is also therefore amotivational aspect to student satisfaction: can students see a clear link
between working harder, askingmore questions, going to the library and achievingmore (either
intrinsically in satisfactionof knowledge gainedor extrinsically by grade). Thismotivational aspect
relatestostudentsasproducersandisexploredintheUSviathestudentengagementsurveyinwhich
studentsdescribetheopportunitiestheyreceivetoengageinlearning.
The self-confidence and actual knowledge gained by students relates to them as products, the
expectationonstudentsfromRussellGroupuniversitiesisdifferenttothatofotherUniversitiesand
studentsmustfeelthattheycanliveuptotheseexpectations.
NSS works with 6 domains (teaching, assessment & feedback, academic support, organization &
management,learningresourcesandpersonaldevelopment)withanoverallsatisfactionratingrelated
toquality.Theapproachof some league tables (tocalculateanarithmeticmeanresponse toeach
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questionratherthantaketheoverallsatisfactionvalue)assumesequalweightingtoallfactorsandno
additionalaspectofsatisfaction.
2.4 Previousstudies
Alves (2007) used structural equation modelling finding relationships between satisfaction and
studentsperceptionofvaluerelatedtootherfactorsfindingthatinstitutionalimagewasthebiggest
influencerofvariationinsatisfaction.
1. InstitutionalImage
2. StudentExpectations
3. PerceivedValue
4. PerceivedQuality
ElliotandShin(2002)highlighteddifferencesbetweenwhatstudentsclaimedtobeimportantandthe
drivers of overall satisfaction (calculated using a multiple-item weighted gap score analysis). The
calculatedsignificantfactorsweredifferenttothoserankedas‘ideal’bythestudents.
Table2:ElliotandShinAnalysisvsStudentIdeal
TheuseofHerzberg’stwo-factortheoryinmodellingsatisfactionanddissatisfactionseparatelywas
demonstratedbyDeShields(2005).Thegroupweresplitinto‘highlysatisfied’and‘highlydissatisfied’
in order to test the theory. They found that the classroom experiencewas a dissatisfier (i.e. in a
positiontodissatisfy)andthefacultywasasatisfier(i.e.theopportunitytosatisfy).
TheuseofKanotheorywasappliedbyPetruzzellisetal.(2006)andAerfi(2012).
Table3KanosatisfactionHigherEducation,comparisonofstudies
Petruzzellisetal.(2006) Aerfi(2012
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Must-
have
Tutoring
Administrativeservices
Contactwithstaff
Library
Teachingequipment
Lecturehalls
Laboratories
Enablingstudentstocarryoutresearch
Abilityoflecturertoconveymaterial
Ability of professor inmotivating students about subjectmatter
Transparentregulations
Coordination of course material (vertical/horizontalintegration)
Appropriateclassroom
Transparentassessmentstandards
Assessmentduringterm
More is
better
Scholarships
Counselling
Internships
Internetaccess
Refectories
Enablingstudentstounderstandwhatnottolearn
Uptodatematerial
Appropriatematerialtopreparestudentsforfuture
Collaborationwithstudentsinprocess
Relationshipbetweenexamcontentandemphasisoftaughtmaterial
Delighters Careerplacement
Leisuretime
Accommodation
Internationalrelations
Languagecourses
Onlineregistration
Acquisitionsoftransferableskills(e.g.IT)
Friendlinessofprofessorcommunication
Appropriatelabfacilities
Incentivestolearnmore(e.g.freebookprovided)
Indifferent Appropriatelevelofdifficulty
Appropriatelevelofself-study
Allocationofpartialcredittopracticalactivities
Douglas,DouglasandBarnes(2006)catagorisedfactorsbyimportancevssatisfaction
Table4CategorisationofimportancevssatisfactionaccordingtoDouglas,DouglasandBarnes
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2.5 Summary
FactoranalysisofNSSfindssatisfactionwithteachingtobethebestindicatorofoverallsatisfaction
(ChengandMarsh2010)whichalsoalignswithotherstudiesdescribedhere(Douglas,Douglasand
Barnes2006,ElliotandShin2002).Itassumesstudentsarereceivingaservicefromexpertswhodefine
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whatitistheyneedtoknowandisseparatefromthedeliveryofthatservice.Therefore,thescopeof
thisstudyistodesignasurveyandanalysistoolwhichcanbeimplementedinawaywhichimproves
teachingandthereforeresultsinhigheroverallsatisfaction.
3 Methodology
3.1 Previousstateofstudentfeedbackinthedepartment
Beforecommencingthisproject,theSchoolofEngineeringdidnothaveamodulesurvey.Previously,
therehadbeenanonlinesurveywithverypoorresponserates(<1%inmanycases).TheSchoolalso
hasaStudentStaffLiaisonCommitteewhichisunsuccessfulinfeedingbacktostudents.Eachmodule
has an online forum with poor utilisation and the peer review observation of lectures by other
academicswasnotinaction.Therewerethereforeverylimitedestablishedmechanismsforstudent
feedbacktomodules.
3.2 Useofpapersurveys
Thereare considerablebarriers to theuseofpaper in-module surveys; the time takenaway from
lectures, the logistics of distribution within a full-cohort (360 student) lecture setting and the
transcribingofresultsintoadigitalformat.Lecturerenthusiasmisalsoapotentialbarrier.Finally,only
studentsattendingthelecturewillanswerthesurveysoitdoesnotaddressstudentswhochoosenot
tocome(perhapsduetodissatisfaction).
3.3 Questiondesign
ApilotpapersurveywasintroducedinTerm12015-2016.Theformsweredistributedandcollected
bybursarystudentsandsenttoITservicesforscanning.Lecturerswereaskedtoprovidearesponse
tostudentswithin2weeksofthesurvey(orbytheendofterm)indicatingtheirthanksandproposed
actions.Surveyresponserateswerealmostallstudentswhoattendedlecturesandstudentshave
expressedthanksfortheopportunityandespeciallyfortheresponsesthey’vereceived.Noguidance
isofferedbytheuniversityonstorageanddataprotectionissues.
ThesurveywasdesignedtomimictheformatoftheNSSwithastatementandasetofpossibleanswers
ontheLikertscale.Questionsweredividedinto3categories:Content,ManagementandDelivery.The
aimofthethreesectionswastodivideresponsibilitybetweenthecurriculum(oftenownedoutsideof
the lecturers by the Discipline Degree Leader, or devolved toModule Leader), the administration
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(timetabling,roometc.)andthelecturerthemselves(lecturingstyle).Anoverallsatisfactionquestion
wouldallowforcalibrationbetweenmodules.
Therewasadeliberatedecisionnottoincludeareflective/engagementquestioninthesurvey.This
wasbecausestudentswithintheschoolarenotwell-practicedatreflection.Twoquestionsabout‘the
amountofself-studyrequired’and‘theavailabilityofresourceslistedinthereadinglist’wereincluded
togaugestudentsviewontheirownroleinlearning.AstheNSSmovestopotentiallyincludequestions
aboutengagement,thesurveycanbealteredtoreflect.
Thereweretwophasesofquestionsusedwithaninternalreviewafterthefirstterm.Academicswere
invitedtoproposefactorstheybelievedinfluencedsatisfactionwhichcouldbeturnedintoquestions.
Engagementwasverylowwithonly4attendingtheopenmeeting(includingtheHeadofSchool).The
SSLCfeedbackwasalsousedtoinfluencequestionchoiceandquestionswereintendedtoreflect‘basic
expectations’ofstudents.Question1bwaschangedfrom‘Themoduleisatasuitableacademiclevel’
to‘Theself-studyrequiredwasaboutright’.
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Figure2:SchoolofEngineeringSurveyTerm2
3.4 ImprovementStrategy
.Threeimprovementstrategieswereconsidered:
1 Movefrom‘neitheragreenordisagree’to‘stronglyagree’
2 Movefrom‘stronglyagree’to‘definitelyagree’
3 Movefrom‘disagree’to‘agree’
Thereare twoaspects to strategy1: reduce thenumberof studentsanswering ‘neitheragreenor
disagree’ who chose that incorrectly (either because they assumed it was a neutral rather than
negative response,orbecause theyconflated itwithnotapplicable)and topersuade intentionally
neutralstudentstobemorepositive.Strategy1isimportanttoinvestigatesincestudentscannotbe
coachedduringtheNSSonhowthesurveyisanalysed.Theycan,however,takesimilarsurveyswhere
it ismadeclearthattheseanswersarenegativeandthat‘notapplicable’ is, insomeinstances,the
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correctanswer.Althoughanswering‘notapplicable’doesnotaffectthe%satisfied,itdoescontribute
tothesecondNSSmetricwhichisthearithmeticscoreforsatisfaction.
StrategywasdiscountedbecauseitdoesnotaffectthemainNSSmetricandreliesonindividualstudent
culture.
Strategy3shouldbesubdividedasA:‘picktheworsttoimprove’orB:‘picktheeasiesttoimprove’or
C:‘pickthemeasurestoimprovewhichwillhavethegreatestimpactonsatisfaction’.Simpleanalysis
willresultinAwhichisthelevelthat,sofar,thedepartmentNSSactionplanhasusedalongwithB.
TheproposalofthisinvestigationistoworktowardsC,judgetheimpactofeachmeasureandprioritise
byeffectonoverallsatisfaction.
Theprioritymustthereforebeanystatementswhichfallintothe‘must-have’withhighdissatisfaction.
Theseareexpectationsnotbeingmetby thedepartment. Following this, questions in the ‘Linear’
classificationcanbeusedtopushstudentsatisfactionupthescale.
3.5 Surveyanalysismethod
Theanalysisisdesignedtoreducetheeffectofindividualstudentscalelookingatcontributingfactors
totheoverallsatisfactionscore.Theresearchquestionistherefore“whatinparticularcausedyouto
bedissatisfiedwiththismodule?”.TheShapelyvaluesaysthatwithagroupofplayers(here,aspects
ofacourse),somewillcontributemoretotheoverallcoalitionandsomewillbeaparticularthreat.
Further,somesmallimprovementsbyplayerscanhaveabiggereffectthaninothers.Particularstrong
improvers or threats are here called ‘Drivers’ (Satisfaction Drivers or Dissatisfaction Drivers).
Satisfactionwas judged to be a positive response (Strongly orDefinitelyAgree) and (aswithNSS)
neitheragreenordisagreewasjudgedtobedissatisfactionratherthanneutral.
Theaimoftheanalysisisthereforetocalculateametricforsatisfaction/dissatisfactiondriverandto
presentinanintuitivewayasareport.Thesimplestmetricisthepercentageofstudentswhowere
satisfiedwithaparticularquestionandoverall.
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Table5:CalculationofDrivers
Theactual%SatisfactionandDissatisfactionresponsetoeachquestionwascombinedwiththemetric
above to form the ‘risk’ levelofeach factor. Forexample,ahighdissatisfactiondriverwithahigh
dissatisfactionscoreisabiggerriskthanonethatisalowdriverwithequallyhighdissatisfaction.
Withmultipledimensionsofdata(Questionnumber,satisfactiondrivermetric,satisfaction)abubble
chartwasusedtopresentresults.
Figure3:Examplebubblechartofsatisfaction
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Figure4:Examplebubblechartofdissatisfaction
Thesizeofthecircleindicatesthedrivermetric(withredbeingparticularlystrongandgreenbeing
weak)andthey-axisgivesthe%satisfied/dissatisfiedforthatquestion.Thegraphshouldbeusedto
identifylargeredcircleswithhighdissatisfaction,orlargeredcircleswithlowsatisfaction.
Inordertomakebestuseofthisanalysis,studentexpectationsmustfirstbeestablished.Therefore,
allresultshavetobecollatedcentrallysothat individualmodulescanbejudgedagainsttheglobal
drivermetric,ratherthanthatfortheindividualmodule.Thedifferencebetweendriversofindividual
modulescanbeanalysedfurther.
The‘raw’answerstoindividualquestionsarealsoincludedinthereportforlecturers
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Figure5:Exampleofbarchartdisplay
Finally,theanswersaregroupedintosatisfactionscoresforeachquestionandcategoryalongwiththe
meanarithmeticscore.Thisiscalculatedbygivingascoreof5to‘Stronglyagree’andmultiplyingby
thenumberofstudentswhoanswer‘Stronglyagree’(andsoon).
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Figure6:Factoranalysisofanswers
4 SurveyResults
Overthecourseoftheyear,3260individualsurveyresponseswerecollectedwith71%ofmodules
conductingasurvey.Thisrepresentsamuchhighersetofdatathanwaspreviouslyavailable.
Theoverallsatisfactionwithmoduleswas82%,thisislowerthanthetargetof90%formodules(based
on the Russell Group NSS score). The category related to module content received the highest
satisfactionwiththedeliveryreceivingthelowestscore.
Looking at the raw results, the weakest areas were laboratories (though for many this was not
applicable) and lectures being ‘engaging’. To address the question of ‘what makes an engaging
lecture?’focusgroupswereconductedinthedepartmentasthefocusofanotherresearchproject.
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Figure7:Resultsforacademicyear2015-2016
Thebiggestdriversofdissatisfactionwere‘Content’,‘Management(inparticularpreparationofthe
lecturer)andDelivery(inparticulartheabilityofthelecturertoanswerquestions).Theseweresome
ofthelowestscoresfordissatisfactionthough,onlyDeliveryisconsideredathreat.
Thebiggestdriversofsatisfactionwere‘interestingcontent’,‘management’(inparticularpreparation)
and delivery (in particular engaging lectures and provided resources). Of these, those related to
deliveryscoredthelowestsatisfaction.
4.1 KANOdescriptors
Byplottingdriversofsatisfactionagainstdriverofdissatisfaction,thequestionscanbecategorised
byKanodescriptors.
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Figure8:Kanoanalysisofsurveyresults
Table6:Kanoclassificationofsatisfactionfactors
ComparingtheresultsshowninTable6withthefindingsofAerfi(2012);thereissimilarityinthatthe
contentisa‘must-have’itemaswellasrelevance(motivation)andapplications(enablingof
students).The‘moreisbetter’qualityofcollaborationispartiallyindicatedbylecturerresponseto
questions.Laboratorieswerea‘delight’factorinbothsurveysandstudentswereindifferenttoself
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studyinboth.Themaindifferencewasthatdeliverywasa‘musthave’inAerfibut‘Attractive’in
Lucas.ThismaybebecausethedeliverywasvariableintheSchoolofEngineeringgivingmore
granularitytotheresults.
Table7:ComparingAerfiandLucasKanoAnalysis
Aerfi(2012 Lucas(2016)
Must-have Enablingstudentstocarryoutresearch
Abilityoflecturertoconveymaterial(like3)
Abilityofprofessorinmotivatingstudentsaboutsubjectmatter(like1d)
Transparentregulations
Coordinationofcoursematerial(vertical/horizontalintegration)(like1)
Appropriateclassroom
Transparentassessmentstandards
Assessmentduringterm
1Content
1aRelevance
1dClearapplications
2aPreparation
2cWell-Run
Moreis
better
Enablingstudentstounderstandwhatnottolearn
Uptodatematerial(like1a)
Appropriatematerialtopreparestudentsforfuture(like1d)
Collaborationwithstudentsinprocess(like3b)
Relationshipbetweenexamcontentand
emphasisoftaughtmaterial
2Management
3Delivery
3bRespondtoquestions
Delighters Acquisitionsoftransferableskills(e.g.IT)
Friendlinessofprofessorcommunication
1cInterestingcontent
3aEngaginglectures
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Appropriatelabfacilities(like3c)
Incentivestolearnmore(e.g.freebookprovided)
3cGoodlaboratoriesandseminars
Indifferent Appropriatelevelofdifficulty
Appropriatelevelofself-study(like2b)
Allocationofpartialcredittopracticalactivities
2bReadinglist/self-study
2dSupportingmaterials
4.2 SWOTanalysis
Thestrategicoutcomeofthesurveyisinunderstandingwheretoprioritiseaction(ascarriedoutby
Douglas,DouglasandBarnes).Thoughtheirsatisfactiondiffered,therelationshipwithimportancewas
thesame.
Threatswherewemustreducedissatisfaction:
Thequalityofdeliveryisbothalineardriverofdissatisfactionandalsoacurrentweakness.
Opportunitieswherewemustconcentrateeffortstoincreasesatisfaction:
Laboratoryactivitieswhichenhancethetopic,engaginglecturesandinterestingtopicsarefoundtobe
bothdriversofsatisfactionandalsocurrentweaknesses.
4.3 Neitheragreenordisagree
A further analysis considers whether students conflate ‘Neither agree nor disagree’ with ‘not
applicable’.WearenotallowedtoremindstudentsofthisforNSSbutcanusethesesurveyresultsto
discussthedifference.ItisanidentifiedweaknessoftheNSSandisalsoseenhere.
Questionswithalarge%responseforneitheragreenordisagreeare:
1c:Themodulecontentwasinterestingtome(17%)
1d:Theapplicationofthetopicsarecleartome(11%)
2b:Thereadinglistmaterialwasreadilyavailabletome(14%)
2d:Supportingmaterialsweremadeavailabletome(13%)
3a:Thelectureswereengaging(19%)
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3b:Thelecturerrespondedwelltoquestions(13%)
3c:Thelaboratoryactivitieshelpedmetounderstandthetopicbetter(16%)
3d:Theresources(e.g.handouts)aregood(15%)
3band3careespeciallygoodexamplesoftimeswhenstudentshaven’tactuallyhadalaboraskedany
questions.Question3aispossiblyacaseofanambiguousquestion.
Moreconcerningaretheanswerstoquestions2band2dwhichimplythatstudentsaren’taccessing
extramaterialforprivatestudy.
4.4 Variationbyyearofstudy
Animportantconsiderationisthevariationofsatisfactionoverthecourse.Thereweremanymore
studentssurveyedinYear1thanotheryearswithmanysharedmodulesrequiringmultiplesurveys
tocovereachlecturer.
3rd and 4th year students were the most satisfied. This may be because their expectations have
changed, because they aremore challenged or because they are studying in smaller classes. The
satisfaction with content is fairly consistent excluding a dip in Year 2 where there were two
programmingmodules(onecore,oneoptional)whichachievedsatisfactionscoresof59%and58%.
Modulemanagementwasalso lower inyear2andmoduledeliverywassignificantly lowerthan in
otheryears.
Thereissomeuseful informationfoundbycomparingKanodescriptorsforeachyear.Forallyears,
moduledeliveryislinearlyrelatedtosatisfaction:improvementsorweaknessinthisareacanmove
overall satisfactionupanddown.Therefore, the face-to-face contact time ismore important than
contenttosatisfactiondifferences.
Inmostyears, thereading listandsupportingmaterialswere judgedtobe ‘indifferent’, thishasa
seriousimplicationthatstudentsarenotcommittingtofurtherself-studyaspartofmodules.Anotable
exception is Year 3 where supporting material is a ‘must have’ for satisfaction, the year with a
noticeablestepupindifficultyandabstraction.
Goodcontentisabasicexpectationforalmostallyears(nudgingintolinearforYear3).Inparticular,
relevance is a must-have in Year 1 (who are perhaps not best placed to judge relevance). Clear
applicationsofthetopicarekey inyear1butotheryears judgethistobemore linearlyrelatedto
satisfaction.Adequatepreparationbythelectureraremusthavesinthefirsttwoyearsbutlesssoin
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Years3and4whentheyarelinearfactors.Themodulerunningwellisalsoofhighimportancetofirst
years.
Engaging lectures are a key opportunity for all years improving satisfaction. However, poor
engagementdoesnotleadtodissatisfactiondirectly.InYears2and3,goodlaboratoriesandseminars
arealsoattractivebut4thyearsareindifferent.Interestingcontentisalsoa‘nicetohave’forallyears
whichboostssatisfactionbutisnotacauseofdissatisfaction.
ThistypeofKanoanalysisisnormallydoneinadvanceofproductdesign,askingcustomersabouttheir
expectationsratherthantryingtogleaninformationfromsurveyresults. It isvitally importantthat
theseexpectationsareexplored further.Goodcontent is aparticular strength inall yearsand the
department should therefore have confidence in the curriculum.Module delivery, however, is an
opportunity for improvementespeciallywhensupplementedbygood labsandextraseminars.The
departmentshouldconcentrateeffortinthisarea.
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Table8:Variationinsatisfactionbyyearofstudy
4.5 ResultscomparedwithNSS
The2016NSSresultswereworsethanpreviousyearswith83%overall (-1%)butvariedbycourse.
Withinthesamedepartment,onewouldexpectthatonlytheteachingwouldvarybetweencourses
whilst the policies related to management of the course, the learning resources and personal
developmentwouldbethesame.Further,thecoursesshareacommonfirst2years.
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Table9:NSSresults2016bycoursecomparedwithmodulesurvey
Comparingwithyear4surveyresultsshowslowersatisfactionthanthatmeasuredonamodulebasis
butwithsomecorrelationbetweenhighermodulesurveyresultsandhigherNSSresults.NSSis
dominatedbythelargenumbersofMechanicalstudents(60comparedto14electronicand41Civil).
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Table10:ModuleSurveyresults2016bymodule
ComparingthemodulesurveyresultsshowsgoodconsistencyintheCivilofferingcomparedwiththe
Mechanicalmoduleswhereonemoduleachievedonly26%satisfactionbasedondeliveryofthe
course.
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5 ConclusionsandRecommendations
TheaimofthisstudywastoestablishbestpracticeforsurveyanalysiswithintheSchoolofEngineering
andestablish theusefulnessasapredictorofNSSscoresaswellasofferingananalysisof student
satisfactionbasedonthegapbetweentheirexpectationandtheservicereceived.
The study was able to gather large amounts of data by using a paper-based survey analysed by
universityITservices.Ananalysistoolwasintroducedwhichgavelecturersinformationabouttheir
module performance and an overall analysis of importance was used to create a strategy for
concentrationofeffortonthreatsto,andopportunitiesfor,increasedstudentsatisfaction.
Thedepartmentstrengthisitsreputation,backedupbythecontentofthedegreewhichreceived90%
satisfaction.However,thevariationinteachingqualityisathreatandthoughtherewasevidenceof
outstandingpractice(14/73modulesreceived100%satisfactionfordelivery)therewerealsosome
poorresults(19modulesscoredlessthan60%satisfaction).
Laband seminarprovisionwouldenhanceoverall satisfaction (according to theanalysis) but their
absence does not correlate with dissatisfaction. Similarly, concentrating on making the content
interestingandengagingshouldnotbedoneattheexpenseofclearapplications(viaexamples)and
preparationofthelecturer.
Module satisfaction summed intooverall satisfactionby course is aweakpredictorofNSS scores.
Furtherworkinthisareawouldbebothinterestingandbeneficial.Theresultsofsubsequentsurveys
byyearwouldshowimprovementandverifythestrategyhere,toconcentrateonspecificthreatsand
opportunities.
Thisstudybringstogetherworkdoneatauniversitylevelandappliesittomoduledeliveryshowinga
potentialmethodtoberolledouttootherdepartmentswithintheUniversity.
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6 References1. ALVES, HELENA, ANDMÁRIO RAPOSO. "CONCEPTUAL MODEL OF STUDENT SATISFACTION IN HIGHER EDUCATION."
TOTALQUALITYMANAGEMENT18.5(2007):571-588.
2. APPLETON-KNAPP,SARAL.,ANDKATHLEENA.KRENTLER."MEASURINGSTUDENTEXPECTATIONSANDTHEIREFFECTSONSATISFACTION:THE IMPORTANCEOFMANAGINGSTUDENTEXPECTATIONS." JOURNALOFMARKETINGEDUCATION28.3(2006):254-264.
3. AREFI,MAHBOUBE, ETAL. "APPLICATIONOFKANOMODEL INHIGHEREDUCATIONQUALITY IMPROVEMENT:STUDYMASTER’SDEGREE PROGRAMOF EDUCATIONAL PSYCHOLOGY INSTATEUNIVERSITIESOFTEHRAN."WORLDAPPLIEDSCIENCESJOURNAL17.3(2012):347-353.
4. ARMSTRONG, J.SCOTT."THEDEVIL'SADVOCATERESPONDSTOANMBASTUDENT'SCLAIMTHATRESEARCHHARMSLEARNING."JOURNALOFMARKETING59(1995):101-106.
5. BERRY,LEONARDL.;A.PARASURAMAN(1991).MARKETINGSERVICES:COMPETINGTHROUGHQUALITY.NEWYORK:FREEPRESS.ISBN978-0-02-903079-0.
6. BROWNE, BEVERLY A., ET AL. "STUDENT AS CUSTOMER: FACTORS AFFECTING SATISFACTION AND ASSESSMENTS OFINSTITUTIONALQUALITY."JOURNALOFMARKETINGFORHIGHEREDUCATION8.3(1998):1-14.
7. MARSH,HERBERTW., AND JACQUELINE CHENG. "NATIONAL STUDENT SURVEY OF TEACHING INUK UNIVERSITIES:DIMENSIONALITY, MULTILEVEL STRUCTURE, AND DIFFERENTIATION AT THE LEVEL OF UNIVERSITY AND DISCIPLINE:PRELIMINARYRESULTS."RETRIEVEDJUNE23.2010(2008):603-641.
8. CHENG, JACQUELINE HS, AND HERBERT W. MARSH. "NATIONAL STUDENT SURVEY: ARE DIFFERENCES BETWEENUNIVERSITIESANDCOURSESRELIABLEANDMEANINGFUL?."OXFORDREVIEWOFEDUCATION36.6(2010):693-712.
9. DESHIELDSJR,OSCARW.,ALIKARA,ANDERDENERKAYNAK."DETERMINANTSOFBUSINESSSTUDENTSATISFACTIONANDRETENTIONINHIGHEREDUCATION:APPLYING
10. DOUGLAS, JACQUELINE, ALEX DOUGLAS, AND BARRY BARNES. "MEASURING STUDENT SATISFACTION AT A UKUNIVERSITY." QUALITY ASSURANCE IN EDUCATION 14.3 (2006): 251-267.HERZBERG'S TWO-FACTOR THEORY."INTERNATIONALJOURNALOFEDUCATIONALMANAGEMENT19.2(2005):128-139.
11. ELLIOTT,KEVINM.,ANDDOOYOUNGSHIN."STUDENTSATISFACTION:ANALTERNATIVEAPPROACHTOASSESSINGTHISIMPORTANTCONCEPT."JOURNALOFHIGHEREDUCATIONPOLICYANDMANAGEMENT24.2(2002):197-209.
12. EOM,SEANB.,H. JOSEPHWEN,ANDNICHOLASASHILL."THEDETERMINANTSOFSTUDENTS'PERCEIVEDLEARNINGOUTCOMESANDSATISFACTIONINUNIVERSITYONLINEEDUCATION:ANEMPIRICALINVESTIGATION."DECISIONSCIENCESJOURNALOFINNOVATIVEEDUCATION4.2(2006):215-235.
13. EMERY, CHARLESR. "AN EXAMINATIONOF PROFESSOR EXPECTATIONS BASEDON THEKANOMODELOF CUSTOMERSATISFACTION."ACADEMYOFEDUCATIONALLEADERSHIPJOURNAL10.1(2006):11.
14. GUOLLA,MICHAEL."ASSESSINGTHETEACHINGQUALITYTOSTUDENTSATISFACTIONRELATIONSHIP:APPLIEDCUSTOMERSATISFACTIONRESEARCHINTHECLASSROOM."JOURNALOFMARKETINGTHEORYANDPRACTICE7.3(1999):87-97.
15. HERZBERG,FREDERICK;MAUSNER,BERNARD;SNYDERMAN,BARBARAB.(1959).THEMOTIVATIONTOWORK(2NDED.).NEWYORK:JOHNWILEY.ISBN0471373893.
16. HUNT,H.KEITH,ED.CONCEPTUALIZATIONANDMEASUREMENTOFCONSUMERSATISFACTIONANDDISSATISFACTION.NO.77-103.MARKETINGSCIENCEINSTITUTE,1977.
File:PCAPP_CLucas.docx 28of35 Copyright©2016-byC.Luacs
17. KANO,NORIAKI;NOBUHIKUSERAKU;FUMIOTAKAHASHI;SHINICHITSUJI(APRIL1984)."ATTRACTIVEQUALITYAND
MUST-BE QUALITY". JOURNAL OF THE JAPANESE SOCIETY FORQUALITY CONTROL (IN JAPANESE). 14 (2): 39–48.ISSN0386-8230.
18. LIKERT,RENSIS(1932)."ATECHNIQUEFORTHEMEASUREMENTOFATTITUDES".ARCHIVESOFPSYCHOLOGY.140:1–55.
19. MARSH,HERBERTW.,ANDLAWRENCEA.ROCHE."MAKINGSTUDENTS'EVALUATIONSOFTEACHINGEFFECTIVENESSEFFECTIVE:THECRITICALISSUESOFVALIDITY,BIAS,ANDUTILITY."AMERICANPSYCHOLOGIST52.11(1997):1187.
20. MITTAL,BANWARI, ANDWALFRIEDM. LASSAR. "WHYDO CUSTOMERS SWITCH?THEDYNAMICSOF SATISFACTIONVERSUSLOYALTY."JOURNALOFSERVICESMARKETING12.3(1998):177-194.
21. PETRUZZELLIS, LUCA, ANGELA MARIA D'UGGENTO, AND SALVATORE ROMANAZZI. "STUDENT SATISFACTION ANDQUALITY OF SERVICE IN ITALIAN UNIVERSITIES."MANAGING SERVICEQUALITY: AN INTERNATIONAL JOURNAL 16.4(2006):349-364.
22. RAPERT,MOLLYINHOFE,ETAL."THEMEANINGOFQUALITY:EXPECTATIONSOFSTUDENTSINPURSUITOFANMBA."JOURNALOFEDUCATIONFORBUSINESS80.1(2004):17-24.
23. WITELL,LARS,ANDMARTINLÖFGREN."CLASSIFICATIONOFQUALITYATTRIBUTES."MANAGINGSERVICEQUALITY:ANINTERNATIONALJOURNAL17.1(2007):54-73.
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7 Appendix
7.1 ModuleSurvey2016
NotApplicable
Module Survey Form
Date of Survey (dd/mm/yyyy) / /Code: E S
Title:
Subsection if applicable:
Your feedback helps us to improve the courses offered by the School. We review your comments andnormally provide summary conclusions within 2 weeks - outlining planned actions when appropriate.
Please show your opinion by making the appropriate box with a cross(if you change your mind, fill in the box and put a cross in the correct box)
5DefinitelyAgree
4MostlyAgree
3Neither Agreenor Disagree
2MostlyDisagree
1DefinitelyDisagree
1. Overall, the module content is appropriate
1a. The module is relevant to my degree
1b. The self-study required was about right
1c. The module content was interesting to me
1d. The applications of the topic are clear to me
2. Overall, the module is well managed
2a. The lecturer was adequately prepared
2b. The reading list material was readilyavailable2c. The module ran well (e.g. changescommunicated)2d. Supporting materials were made availableto me3. Overall, the module was well delivered
3d. The resources (e.g. handouts, slides) aregood
3c. The laboratory/seminar/class activitieshelped me to understand topics better
3b. The lecturer responded well to questions
3a. The lectures were engaging
4. Considering everything (content,management, and delivery), I am satisfied withthis {part} module.
Page 1 of 2
7981189171
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7.2 SurveyReportallYears2016
ModuleSurveyResults
Collated_All_years.xlsx Page1of4 Report
Code: ES#### DateofSurvey: DD/MM/YYYY
TitleSubsection
NumberofRespondents 3260%ofcohort unknown
OverallSatisfactionwithModule[part]* 82% %agree
OverallSatisfactionwithModule[part]** 82% arithmeticmeanThechartbelowshowsthedistributionofanswerstoallquestions:
15_16_Term_2ModulePart
Question4givesanindicationoftheoverallsatisfactionwiththemodule.*Thepercentageofrespondentsscoring'DefinitelyAgree'or'MostlyAgree'**Thearithmeticmean
47%
52%
34%
30%
41%
44%
56%
44%
48%
43%
41%
33%
44%
20%
33%
36%
43%
38%
45%
43%
42%
40%
35%
37%
41%
39%
39%
36%
38%
23%
43%
46%
6%
7%
15%
17%
11%
10%
6%
14%
8%
13%
10%
19%
13%
16%
15%
11%
1%
2%
4%
7%
4%
2%
2%
3%
2%
3%
4%
8%
2%
5%
6%
4%
0%
0%
2%
3%
1%
1%
0%
1%
0%
1%
1%
4%
1%
2%
2%
1%
3%
0%
1%
0%
1%
3%
1%
2%
1%
1%
5%
1%
2%
33%
2%
1%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
1:content
1a:relevance
1b:self-study
1c:interesting
1d:application
2:management
2a:preparation
2b:readinglist
2c:administration
2d:material
3:delivery
3a:engaging
3b:questions
3c:laboratoriesetc
3d:resources
4:Overall Satisfaction
QuestionAnswers
DefinitelyAgree MostlyAgree NeitherAgreeNorDisagree
MostlyDisagree DefinitelyDisagree NotApplicable/Blank
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7.3 ResultsbyModule2016
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
Code
Overall,the
module
contentis
appropraite
Themodule
isrelevantto
mydegree
Themodule
contentisat
asuitable
academic
level
Themodule
contentwas
interesting
tome
The
applications
ofthetopic
areclearto
me
Overall,the
moduleis
well
managed
Thelecturer
was
adequately
prepared
Theroom(s)
was
appropriate
forthe
module
Themodule
ranwell(e.g.
changes
communicat
ed)
Supporting
materials
weremade
availableto
me
Overall,the
modulewas
well
delivered
Thelectures
were
engaging
Thelecturer
responded
wellto
questions
The
laboratory
activities
helpedmeto
understand
topicsbetter
The
resources
(e.g.
handouts,
slides)are
good
Considering
everything
(content,
managementand
delivery)Iam
satisfiedwiththis
{part}module
1 1a 1b 1c 1d 2 2a 2b 2c 2d 3 3a 3b 3c 3d 4
Respondents %Satisfied %Satisfied %Satisfied %Satisfied %Satisfied %Satisfied %Satisfied %Satisfied %Satisfied %Satisfied %Satisfied %Satisfied %Satisfied %Satisfied %Satisfied %Satisfied
1 27 27 ES3D1_2 96% 100% 93% 93% 100% 100% 100% 100% 96% 100% 100% 100% 100% 100% 100% 96%
28 53 26 ES4E2 96% 100% 96% 96% 96% 96% 100% 81% 96% 92% 92% 100% 100% 100% 100% 100%
54 69 16 ES4D8 94% 100% 75% 88% 81% 81% 94% 69% 88% 81% 81% 94% 100% 81% 69% 94%
70 116 47 ES386_1 87% 96% 91% 74% 85% 94% 100% 94% 94% 94% 91% 91% 89% 13% 83% 91%
117 289 173 ES183_MJC 95% 97% 83% 77% 83% 91% 94% 79% 89% 85% 88% 62% 81% 27% 81% 93%
290 301 12 ES335 83% 92% 92% 67% 67% 75% 83% 67% 92% 83% 67% 42% 75% 67% 58% 67%
302 340 39 ES386_JRK 95% 92% 67% 59% 87% 87% 90% 74% 97% 87% 82% 79% 92% 26% 87% 85%
341 378 38 ES438 95% 89% 79% 89% 97% 95% 97% 66% 92% 82% 95% 92% 97% 74% 87% 97%
379 405 27 ES3D7 89% 96% 74% 85% 93% 93% 96% 70% 96% 85% 89% 93% 93% 85% 93% 96%
406 560 155 ES174_2 90% 92% 46% 57% 85% 86% 87% 66% 90% 69% 77% 50% 63% 3% 63% 81%
561 581 21 ES3B2 100% 100% 95% 100% 100% 100% 100% 95% 100% 95% 100% 95% 95% 33% 95% 100%
582 589 8 ES97E 88% 88% 88% 88% 100% 100% 100% 100% 88% 88% 100% 88% 100% 88% 100% 88%
590 603 14 ES3A7 100% 100% 86% 93% 100% 100% 100% 93% 100% 93% 100% 100% 100% 64% 100% 100%
604 607 4 ES97G 100% 100% 75% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 0% 100% 100%
608 620 13 ES4A4 100% 85% 92% 92% 85% 100% 100% 69% 100% 85% 85% 92% 92% 38% 100% 92%
621 647 27 ES2A5 100% 93% 81% 93% 89% 96% 100% 70% 93% 85% 89% 74% 89% 30% 78% 81%
648 694 47 ES386 87% 96% 91% 74% 85% 94% 100% 94% 94% 94% 91% 91% 89% 13% 83% 91%
695 732 38 ES4D4 97% 97% 87% 84% 92% 92% 100% 79% 97% 95% 95% 92% 97% 79% 92% 97%
733 739 7 ES97Eb 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 0% 100% 100%
740 774 35 ES3D9 91% 91% 80% 83% 100% 100% 100% 91% 97% 91% 100% 97% 100% 83% 94% 100%
775 785 11 ES4C3 91% 100% 100% 82% 91% 100% 100% 91% 91% 91% 91% 82% 82% 18% 91% 91%
786 799 14 ES94Y_1 100% 100% 100% 93% 100% 79% 100% 100% 100% 86% 86% 93% 100% 0% 86% 71%
800 814 15 ES94Y_2 73% 93% 73% 100% 93% 73% 93% 100% 93% 87% 73% 93% 93% 0% 87% 80%
815 916 102 ES185_2 94% 85% 75% 62% 79% 94% 96% 77% 87% 83% 90% 76% 94% 63% 62% 84%
917 929 13 ES3C8_2 85% 77% 69% 62% 69% 77% 46% 77% 100% 85% 46% 54% 85% 23% 46% 54%
930 957 28 ES2B0_2 89% 93% 79% 82% 93% 93% 100% 79% 93% 86% 79% 68% 79% 61% 86% 79%
958 998 41 ES2B3_2 88% 80% 66% 83% 90% 78% 88% 73% 88% 63% 85% 83% 73% 15% 80% 88%
999 1000 2 ES176 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 50% 100% 100%
1001 1034 34 ES3D9_2 97% 88% 79% 76% 100% 88% 97% 100% 97% 97% 91% 76% 94% 97% 85% 91%
1035 1049 15 ES4A4_2 100% 93% 100% 100% 100% 100% 100% 80% 93% 87% 100% 100% 100% 80% 93% 93%
1050 1055 6 ES97E_3 100% 100% 83% 100% 100% 100% 100% 83% 67% 100% 100% 100% 83% 17% 100% 100%
1056 1066 11 ES4E6 82% 91% 82% 100% 91% 73% 100% 100% 100% 55% 73% 73% 100% 36% 73% 82%
1067 1111 45 ES177 87% 91% 91% 84% 89% 93% 100% 51% 91% 64% 87% 53% 80% 93% 82% 96%
1112 1186 75 ES2B5 93% 96% 75% 87% 89% 87% 93% 89% 95% 83% 87% 72% 87% 52% 73% 96%
1187 1201 15 ES96V 80% 93% 47% 87% 87% 53% 87% 33% 73% 27% 80% 73% 93% 87% 27% 73%
1202 1217 16 ES96Q 94% 100% 94% 88% 94% 94% 100% 94% 81% 81% 88% 94% 100% 94% 75% 88%
1218 1240 23 ES3D5 91% 91% 83% 74% 91% 70% 83% 70% 83% 78% 91% 52% 65% 74% 83% 87%
1241 1278 38 ES4D5_1 92% 89% 79% 82% 92% 87% 97% 68% 89% 84% 82% 71% 87% 50% 92% 89%
1279 1298 20 ES4D5_2 90% 90% 80% 60% 85% 60% 80% 50% 60% 65% 65% 60% 85% 75% 70% 70%
1299 1321 23 ES441 57% 96% 30% 61% 61% 35% 43% 70% 65% 61% 22% 30% 43% 61% 30% 26%
1322 1590 269 ES187_2 93% 89% 81% 73% 86% 97% 99% 83% 95% 90% 95% 89% 94% 72% 93% 93%
1591 1636 46 ES4D4_B 93% 98% 80% 83% 93% 87% 100% 85% 93% 98% 78% 61% 80% 33% 91% 91%
1637 1663 27 ES4D9 89% 85% 56% 78% 89% 74% 100% 85% 93% 89% 74% 85% 85% 56% 74% 81%
1664 1778 115 ES185_b 79% 79% 52% 41% 63% 41% 45% 64% 39% 57% 38% 23% 51% 50% 30% 41%
1779 1924 146 ES183_b 81% 82% 55% 49% 67% 60% 81% 55% 71% 68% 50% 34% 59% 24% 60% 52%
1925 1945 21 ES3D2 100% 100% 95% 81% 90% 86% 95% 86% 90% 95% 95% 86% 90% 90% 81% 90%
1946 1972 27 ES2A9 93% 89% 89% 59% 70% 74% 93% 96% 96% 89% 70% 41% 85% 26% 74% 74%
1973 2020 48 ES2B4_2 75% 88% 79% 81% 67% 73% 92% 94% 88% 71% 60% 60% 63% 60% 58% 67%
2021 2080 60 ES3C3 85% 92% 80% 43% 73% 73% 88% 90% 77% 82% 50% 30% 63% 5% 57% 62%
2081 2121 41 ES4C9 100% 100% 95% 93% 98% 90% 98% 95% 98% 93% 90% 90% 100% 88% 83% 98%
2122 2128 7 ES4D2 100% 86% 86% 86% 86% 100% 100% 100% 100% 100% 100% 100% 86% 14% 86% 100%
2129 2153 25 ES4D6 92% 80% 92% 68% 88% 88% 100% 36% 84% 80% 92% 80% 100% 92% 72% 84%
2154 2167 14 ES442 93% 93% 86% 86% 79% 93% 93% 79% 100% 86% 100% 64% 100% 7% 79% 86%
2168 2195 28 ES3820 82% 82% 86% 39% 71% 79% 96% 79% 75% 82% 68% 64% 86% 11% 82% 86%
2196 2448 253 ES184 97% 99% 92% 82% 89% 89% 100% 88% 94% 92% 87% 75% 85% 42% 83% 91%
2449 2463 15 ES3C5 87% 93% 87% 87% 93% 93% 87% 93% 100% 100% 80% 73% 87% 60% 93% 87%
2464 2540 77 ES2B1 81% 73% 78% 44% 56% 65% 74% 74% 75% 70% 56% 35% 69% 35% 53% 56%
2541 2556 16 ES3D1 88% 100% 75% 44% 63% 75% 81% 94% 88% 88% 56% 25% 69% 69% 81% 63%
2557 2589 33 ES4A8 94% 97% 97% 94% 97% 94% 100% 94% 97% 97% 94% 94% 100% 33% 91% 97%
2590 2736 147 ES183 99% 99% 91% 86% 93% 97% 99% 90% 95% 97% 95% 92% 89% 18% 86% 97%
2737 2905 169 ES174 84% 85% 82% 58% 68% 85% 88% 84% 92% 75% 80% 53% 61% 21% 72% 74%
2906 2931 26 ES3D6 96% 100% 85% 88% 88% 96% 100% 100% 96% 96% 96% 100% 100% 8% 96% 100%
2932 2936 5 ES97b 80% 80% 80% 100% 80% 100% 100% 80% 100% 100% 100% 100% 100% 80% 100% 80%
2937 2973 37 ES3D2_1 100% 100% 97% 84% 89% 95% 100% 92% 97% 95% 97% 97% 100% 0% 89% 100%
2974 2990 17 ES4B6 100% 82% 100% 94% 100% 82% 94% 100% 94% 76% 100% 100% 88% 29% 82% 100%
2991 3054 64 ES2B2 81% 73% 86% 63% 88% 91% 94% 95% 92% 77% 80% 77% 86% 11% 80% 88%
3055 3078 24 ES3B60_3 100% 100% 100% 79% 88% 79% 92% 92% 88% 71% 79% 67% 92% 29% 79% 88%
3079 3115 37 ES1810 41% 62% 41% 57% 51% 32% 54% 57% 51% 35% 32% 30% 54% 8% 27% 24%
3116 3146 31 ES440 97% 90% 90% 81% 84% 87% 97% 87% 90% 81% 90% 87% 87% 90% 81% 84%
3147 3162 16 ES4C8 56% 75% 63% 56% 81% 63% 63% 94% 100% 75% 63% 56% 75% 88% 75% 63%
3163 3203 41 ES2B4 90% 83% 85% 88% 73% 76% 98% 98% 93% 76% 68% 85% 78% 66% 68% 73%
3204 3220 17 ES3A3 71% 88% 53% 59% 41% 47% 41% 82% 65% 65% 41% 35% 47% 47% 24% 35%
3221 3260 40 ES4B5 95% 93% 93% 88% 95% 95% 93% 98% 95% 98% 78% 50% 95% 95% 85% 98%
3261 3261 1 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
3262 3262 1 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
3263 3263 1 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
3264 3264 1 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
3265 3265 1 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
3266 3266 1 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
3267 3267 1 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
3268 3268 1 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
3269 3269 1 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
3270 3270 1 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%
0%
20%
40%
60%
80%
100%
120%
%Satisfied