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Slide13-1AdvertisingResearch
JoelJ.DavisChapter13:QuestionnaireDesign
Slide13-2DetermineDataCollectionMethodQuestionnaireappearanceandstructurereflectsdatacollectionmethodAbsenceofface-to-facecontactrequireslesscomplexquestionnaireSelf-andinterviewer-administeredcanusepicturesormanipulativesTelephonewrittenconversationallyandnotpicturesormanipulatives
Slide13-3DetermineNeedforDisguiseUndisguisedquestionnairesmakepurposeofresearchexplicitThankyouforagreeingtoparticipateinthisstudyofconsumeropinions.Inthisstudywewillaskyouaboutyouropinionstowardanumberofoilandgasolinecompaniesandtheirproductsandservices.Remember,therearenorightorwronganswerstoanyquestions.Justtellmeyourhonestopinion.
Slide13-4DetermineNeedforDisguiseDisguisedquestionnairesprovidegeneraloverviewofresearchpurposebutnoexplicitinformationThankyouforagreeingtoparticipateinthisstudyofconsumeropinions.Inthisstudywewillaskyouaboutyouropinionstowardanumberofdifferentcompaniesandtheirproductsandservices.Remember,therearenorightorwronganswerstoanyquestions.Justtellmeyourhonestopinion.
Slide13-5CreateQuestionnaireComponentsIntroductionScreenerMainbodyofinformationalquestionsClassificationquestions
Slide13-6QuestionnaireIntroductionExplainsresearchpurposeandgoalsAsksforrespondent’scooperationandparticipationSpecificwordingdependentupon:NeedfordisguiseStudycomplexitySensitivenature(ifany)ofrequireddata
Slide13-7QuestionnaireIntroductionKeyelementsinclude:ExplicitorimplicitreferencetoimportanceRationaleandgoalsofresearchExplicitrequestforparticipationReassurancethattaskisnotburdensomeNeedfortruthfulanswersPromiseofconfidentialityReassurancethatitisreal,legitimateresearch
Slide13-8QuestionnaireScreenerActsasagateAdmitsallwhopossessdesiredcharacteristicsEliminatesallwholackatleastonedesiredcharacteristicImportantthatscreeneronlycontainquestionsnecessarytodistinguishtargetfromnontargetindividualsOthernonessentialquestionscanbeincorporatedintomainquestionnaire
Slide13-9ExampleScreener1.Intowhichofthefollowingcategoriesdoesyouragefall? under25
THANKANDDISCONTINUE 25to34
CONTINUEWITHQ.2 35to49
CONTINUEWITHQ.2 50andolder
THANKANDDISCONTINUE2.Areyoucurrentlyemployedfull-timeoutsidethehome? yes
CONTINUEWITHQ.3 no
THANKANDDISCONTINUE3.Haveyoudieted,thatis,regulatedthetypeandamountofyourfood
consumption,inordertomaintainadesiredweightorreduceyourweight
inthelasttwelvemonths? yes
CONTINUEWITHQ.4 no
THANKANDDISCONTINUE
Slide13-10ExampleScreener4.Areyoucurrentlyonadiet? yes
1CONTINUEWITHQ.5 no
2SKIPTOQ.65.Whichofthefollowingproductshaveyoupurchasedforyourownpersonalconsumptionwithinthepastweek?READLIST. reducedcaloriesaladdressing
reducedcaloriesoftdrink
reducedcaloriefrozendinner
... IFYES,INVITETOINTERVIEW IFNO,THANKANDDISCONTINUE6.Whichofthefollowingproductshaveyoupurchasedforyourownpersonalconsumptionwithinthepastmonth?READLIST. reducedcaloriesaladdressing
reducedcaloriesoftdrink
reducedcaloriefrozendinner
... IFNO,INVITETOINTERVIEW IFYES,THANKANDDISCONTINUE
Slide13-11QuestionnaireMainBodyBeginwithsimple,nonthreatening,interesting,easytoanswerquestions
Slide13-12QuestionnaireMainBodyBeginwithsimple,nonthreatening,interesting,easytoanswerquestionsGroupquestionsonsametopictogetherCompleteonetopicbeforemovingontoanother
Slide13-13QuestionnaireMainBodyBeginwithsimple,nonthreatening,interesting,easytoanswerquestionsGroupquestionsonsametopictogetherCompleteonetopicbeforemovingontoanotherWithinatopicmorefrommostgeneralquestionstomostspecific
Slide13-14QuestionnaireMainBodyPlacedifficultorsensitivequestionsatendofquestionnaire
Slide13-15QuestionnaireMainBodyPlacedifficultorsensitivequestionsatendofquestionnaireAvoidbiasingquestionsappearinglaterinquestionnairewithquestionsaskedearlier
Slide13-16QuestionnaireMainBodyPlacedifficultorsensitivequestionsatendofquestionnaireAvoidbiasingquestionsappearinglaterinquestionnairewithquestionsaskedearlierAddressmostimportanttopicsfirst
Slide13-17ClassificationQuestionsCollectrelevantinformationnotcollectedinscreenerofmainbodyofquestionnaireProvidesmeansforexaminingsubgroupswithinlargersample
Slide13-18PhysicallyPrepareQuestionnaireFourareasmustbeaddressedVisualappearanceTransitionsInterviewer/respondentinstructionsResponsecolumncoding
Slide13-19Self-AdministeredQuestionnairesQuestionsdistinguishedfromresponsesResponsecodingisunobtrusiveQuestionsdonotcontinueacrosscolumnsColumnshelptoMaintainfocusSavespaceSimplifyresponse
Slide13-20OnlineQuestionnairesThreeimportantconsiderationsFormandvisualappearanceRangeofquestiontypesavailableWayinwhichspecificquestiontypesarepresented
Slide13-21OnlineQuestionnaires:FormandAppearanceUseofpicturesisnotatrivialdecision
Slide13-22OnlineQuestionnaires:FormandAppearanceUseofpicturesisnotatrivialdecisionCarefullyconsidernumberofquestionsperwebpage
Slide13-23OnlineQuestionnaires:FormandAppearanceUseofpicturesisnotatrivialdecisionCarefullyconsidernumberofquestionsperwebpageUnderstandrelationshipbetweenspaceprovidedanddepthofresponseinopen-endedquestions
Slide13-24OnlineQuestionnaires:FormandAppearanceUseofpicturesisnotatrivialdecisionCarefullyconsidernumberofquestionsperwebpageUnderstandrelationshipbetweenspaceprovidedanddepthofresponseinopen-endedquestionsNotallformatsforclosed-endedquestionsareequivalent
Slide13-25OnlineQuestionnaires:
DisplayofSingleItemRatingScale
Slide13-26OnlineQuestionnaires:
DisplayofSingleItemRatingScale
Slide13-27OnlineQuestionnaires:
DisplayofMultipleItemRatingScales
Slide13-28OnlineQuestionnaires:
DisplayofMultipleItemRatingScales
Slide13-29OnlineQuestionnaires:
DisplayofMultipleItemRatingScales
Slide13-30OnlineQuestionnaires:
Ranking
Slide13-31OnlineQuestionnaires:
Ranking
Slide13-32InterviewerInstructions
Foryoupersonally,whatisthemostimportantconsiderationindecidingwhichcellphoneservicetouse?DONOTREADLIST.CHECKFIRSTMENTION.
Slide13-33InterviewerInstructions
Now,Iwouldliketofocusonadvertisingforchildren'stoystores.Thinkaboutanyadvertisingthatyoumighthaveseenoverthepastweekforachildren'stoystore.Doyourecallseeinganyadvertisingforthistypeofstore? Yes[ ](1)->GOTOQ.2 No[ ](2)->GOTOQ.4
Slide13-34ColumnCoding11.Areyouaged... 18-29 [](1)
30-49 [](2)
50-64 [](3)
65andolder [](4)
(32)
Slide13-35InternalEvaluationChecktomakecertainthatquestionnaireisclearandconciseQuestionsareclear,unambiguousandappropriateLayoutisclearandeasytofollow
Slide13-36QuestionnairePretestingProblemswithadministration
Slide13-37QuestionnairePretestingProblemswithadministrationProblemsrelatedtoquestioncomprehension
Slide13-38QuestionnairePretestingProblemswithadministrationProblemsrelatedtoquestioncomprehensionProblemsrelatedtoquestiondemands
Slide13-39QuestionnairePretestingProblemswithadministrationProblemsrelatedtoquestioncomprehensionProblemsrelatedtoquestiondemandsProblemsrelatedtoresponseoptions
Slide13-40QuestionnairePretestingProblemswithadministrationProblemsrelatedtoquestioncomprehensionProblemsrelatedtoquestiondemandsProblemsrelatedtoresponseoptionsProblemsrelatedtoorganizationandsequencing
Slide13-41PretestingUsingCognitiveInterviewsThinkaloudmethodRespondentsverbalizethoughtsastheyareansweringquestionInterviewerispassiveparticipant
Slide13-42PretestingUsingCognitiveInterviewsActiveprobingIntervieweractiveparticipantProbestounderstandbasisofresponse
Slide13-43CommonTypesofActiveProbesComprehension/interpretationParaphrasingConfidencejudgmentRecallprobeGeneralprobe
Slide13-44FieldSupportMaterialsCoverletterIdentifiesstudyItemizesmaterialsDiscussesdatacollectiontechniquesIdentifiesspecialneedsorrequirementsConfirmsstudycost,timingandproceduresMemodescribingquestionnaire
Slide13-45Allrightsreserved.Nopartofthispublicationmaybereproduced,storedinaretrievalsystem,ortransmittedinanyformorbyanymeans,electronic,mechanical,photocopying,recording,orotherwisewithoutthepriorwrittenpermissionofthepublisher.PrintedintheUnitedStatesofAmerica.
Slide14-46AdvertisingResearch
JoelJ.DavisChapter14:Experimentation
Slide14-47DescriptiveVs.ExperimentalResearchDescriptive-ataparticularpointintimeExperimental-movesbeyonddescriptiontodeterminecausalityCausalityistheeffectofchangesinoneareaononeormoreotherareas
Slide14-48DescriptiveVs.ExperimentalResearch:
AnExampleResearchtoexploreconsumerreactionstobanneradsWhataspectsofbanneradsaremostlikelytoinfluenceaclick-through?
Slide14-49ResultsofDescriptiveResearch
Slide14-50ResultsofExperimentalResearch
Slide14-51AdditionalExperimentalInsightsRelationshipbetweendiscountcodesandrelevanceDiscountcodesonlyimportantwhenlevelofrelevanceislow
Slide14-52AdditionalExperimentalInsightsRelationshipbetweendiscountcodesandrelevanceDiscountcodesonlyimportantwhenlevelofrelevanceislowRelationshipbetweenadsizeandrelevanceAdsizeisonlyimportantwhenadsdonotcontainadiscountcode
Slide14-53LimitationsofSurveyResearchSurveyresultsbecomelessreliableforexplainingbehaviorswhen:Questionsrequirerecall,especiallyoverlongperiodsIndividualsareaskedforintrospectioninareasofbehaviornotnormallythoughtaboutIndividualsareaskedtousememorytoattributecauseandeffectTheremaybecomplex,multipleorinterrelatedinfluencesonbehavior
Slide14-54StepsinExperimentationIdentifywhatyouneedtolearnTakerelevantactionsObserveeffectsandconsequencesDeterminecausality
Slide14-55StepsinExperimentationIdentifywhatyouneedtolearnEffectofwatercontentoncrusttextureTakerelevantactionsVaryamountofwaterinrecipeObserveeffectsandconsequencesEvaluatecrusttextureDeterminecausalityEliminatealternativeexplanations
Slide14-56ComponentsofanExperiment(Atleast)oneindependentvariable(Atleast)onedependentvariable(Atleast)onemanipulation
Slide14-57IndependentandDependentVariablesIndependentvariableiswhatexperimentmanipulatesWaterinPeter’spizzacrustexperiment
Slide14-58IndependentandDependentVariablesIndependentvariableiswhatexperimentmanipulatesWaterinPeter’spizzacrustexperimentDependentvariableiswhatresearcherisinterestedinexplainingRatingsofpizzacrustfirmness,crispnessandcolor
Slide14-59IndependentandDependentVariables(Independentvariablecausesachangein(dependentvariable)anditisn’tpossiblethat(dependentvariable)couldcauseachangein(independentvariable)
Slide14-60IndependentandDependentVariables(Independentvariablecausesachangein(dependentvariable)anditisn’tpossiblethat(dependentvariable)couldcauseachangein(independentvariable)(Theamountofwater)causesachangein
(pizzacrustcharacteristics)butitisn’tpossiblethat
(pizzacrustcharacteristics)couldcauseachangein
(theamountofwater)
Slide14-61RequirementsforCausalityEventsmusttakeplaceinproperorder
Slide14-62RequirementsforCausalityEventsmusttakeplaceinproperorderEventsmustshowanexplicitrelationship
Slide14-63RequirementsforCausalityEventsmusttakeplaceinproperorderEventsmustshowanexplicitrelationshipAlternativeexplanationsmustbereducedoreliminated
Slide14-64RequirementsforCausalityEventsmusttakeplaceinproperorderEventsmustshowanexplicitrelationshipAlternativeexplanationsmustbereducedoreliminatedRelationshipmustshowstrengthofassociation
Slide14-65InternalValidityReferstoextentthatonecaneliminatealternativeexplanationsfortheobservedexperimentalresultsTherelationshipbetweentheindependentanddependentvariables
Slide14-66ThreatstoInternalValidityProblemsassociatedwithaninitial,pretestsurveyProblemsduetodatacollectionProblemsassociatedwiththesampleProblemscausedbythestudycontextProblemsattributabletoresearcherbehavior
Slide14-67PremeasurementandInteractionErrorsCloselyrelatedEithermayoccurwhenindividualsareinterviewedatstartofexperiment,beforeexposuretoindependentvariable
Slide14-68PremeasurementandInteractionErrorsPremeasurementerrorcanoccurwheneveraninterviewgivenbeforestartofexperimenthasdirecteffectonrespondent’sattitudes,actionsorbehaviorsduringexperiment
Slide14-69PremeasurementandInteractionErrorsPremeasurementerrorcanoccurwheneveraninterviewgivenbeforestartofexperimenthasdirecteffectonrespondent’sattitudes,actionsorbehaviorsduringexperimentInteractionerrorscanoccurwheneveraninterviewgivenbeforestartofexperimentaffectsrespondent’ssensitivityorresponsivenesstoindependentvariable
Slide14-70TestingErrorResultsfromrepeatedadministrationofsamequestionnairebeforeandafterexperimentalmanipulationObservedchangesmaynotbeduetomanipulation,butrathertogettingbetteratansweringquestions
Slide14-71InstrumentationErrorReferstochangesmaketomeasurementinstrumentduringexperimentObservedchangesmaynotbeduetomanipulation,butrathertochangesinmeasurementinstrument
Slide14-72MaturationErrorReferstochangesinrespondentsduringcourseofexperimentObservedchangesmaynotbeduetomanipulation,butrathertochangesinrespondents’mentalorphysicalstate
Slide14-73SelectionandMortalityErrorsSelectionerroroccurswhentestandcontrolgroupsdifferinsignificantwayspriortostartofexperiment
Slide14-74SelectionandMortalityErrorsSelectionerroroccurswhentestandcontrolgroupsdifferinsignificantwayspriortostartofexperimentMortalityerroroccurswhenrespondentsdropoutofexperimentbetweenpre-andpost-test
Slide14-75HistoryErrorReferstoanyeventsorinfluencesbeyondthoseintentionallymanipulatedbyresearcherwhichhavepotentialtoaffectexperimentaloutcome
Slide14-76ResearcherBiasErrorOccurswhenactionsofexperimenterbiasoutcomeofexperimentCanbeintentionalorunintentional
Slide14-77OneGroupPost-TestOnly
Slide14-78OneGroupPre-TesttoPost-Test
Slide14-79TwoGroupPost-TestWithControl
Slide14-80TrueExperimentalDesignsDifferfromquasi-experimentaldesignsintwoimportantwaysHaveacontrolgroupUserandomassignmenttoformtestandcontrolgroups
Slide14-81TrueExperimentalDesignsSimulatedpre-testtopost-testPost-testonlywithcontrolPre-testtopost-testwithcontrolSolomonfour-groupdesignFactorialdesigns
Slide14-82SimulatedPre-TestPost-TestDesign
Slide14-83Post-TestOnlyWithControlDesign
Slide14-84Pre-TesttoPost-TestWithControlDesign
Slide14-85SolomonFour-GroupDesign
Slide14-86MoreThanOneLevelorAspectAvariablehasdifferentlevelswhenthequantityofthatvariable(moreorlessofwhatisbeingstudied)ismanipulatedAvariablehasdifferentaspectswhenthecharacteristicsofthatvariabledaremanipulated
Slide14-87MoreThanOneLevelofaVariable
Slide14-88MoreThanOneLevelofaVariable
Slide14-89FactorialDesignsAllowsformanipulationoftwoormoreindependentvariablesatthesametimeEachvariablehastwoormorelevelsoraspects
Slide14-90FactorialDesigns
Slide14-91BroaderViewofInternalvalidityInternalvalidityincreaseswithstrongerpredictions
Slide14-92BroaderViewofInternalvalidityInternalvalidityincreaseswithstrongerpredictionsInternalvalidityisgreaterwhenachangeinthecauseisfollowedbylargechangesineffect
Slide14-93BroaderViewofInternalValidityInternalvalidityincreaseswithstrongerpredictionsInternalvalidityisgreaterwhenachangeinthecauseisfollowedbylargechangesineffectInternalvalidityisgreaterwheneffectreversesaprevailingtendency
Slide14-94ExternalValidityTheextenttowhichresultscanlegitimatelybegeneralizedbeyondthenarrowconfinesoftheexperimentitselfThreeaspectsPopulationrelatedMeasurementrelatedSettingrelated
Slide14-95Allrightsreserved.Nopartofthispublicationmaybereproduced,storedinaretrievalsystem,ortransmittedinanyformorbyanymeans,electronic,mechanical,photocopying,recording,orotherwisewithoutthepriorwrittenpermissionofthepublisher.PrintedintheUnitedStatesofAmerica.
Slide15-96AdvertisingResearch
JoelJ.DavisChapter15:QuantitativeDataAnalysisStatistics
Slide15-97KeyMeasuresPercentageAverageormeanMedianModeStandardDeviation
Slide15-98PercentageSimilartoscoreonanexamTocalculate:dividethenumberofcorrectanswersbytotalnumberofquestions,andthenmultiplyby100 16correctanswers/20questions=.8 .8*100=80%
Slide15-99PercentagesforSurveyQuestions
Slide15-100PercentagesforSurveyQuestions
Slide15-101Averages Thinkingbacktothecommercialyoujustsaw,howrelevant ornotrelevantwouldyousaythecommercial’smessagewas? Wouldyousaythatitwas… Extremelyrelevant _____(1) Somewhatrelevant _____(2) Somewhatirrelevant _____(3) Extremelyirrelevant _____(4)
Slide15-102Averages
Thinkingbacktothecommercialyoujustsaw,howrelevant ornotrelevantwouldyousaythecommercial’smessagewas? Wouldyousaythatitwas… Extremelyrelevant _____(1) Somewhatrelevant _____(2) Somewhatirrelevant _____(3) Extremelyirrelevant _____(4) TenResponses:1,2,3,2,3,4,4,2,1,2 Addresponses:1+2+3+2+3+4+,4+2+1+2=24 Dividebynumberofresponses:24/10=2.4
Slide15-103MedianNumberthatappearsinthemiddleoforderedsetofdataScoresmustbeorderedfromlowesttohighest
Slide15-104MedianNumberthatappearsinthemiddleoforderedsetofdataScoresmustbeorderedfromlowesttohighestFivepeopleprovideage: 21,23,25,26,99
Average=38.8 Median=25
Slide15-105FindingtheMedianForanoddnumberofscores:MedianisscoreexactlyinthemiddleForanevennumberofscores:Medianistheaverageofthetwomiddlescores
Slide15-106ModeThevalueinasetofscoresthatappearsmostoftenUsefulwhenneedtoknowmostfrequentresponse
Slide15-107ModeThevalueinasetofscoresthatappearsmostoftenUsefulwhenneedtoknowmostfrequentresponse
Slide15-108SymmetricalDistribution
Slide15-109LeftSkewedDistribution
Slide15-110RightSkewedDistribution
Slide15-111ReactionstoThreeCommercials
Slide15-112ReactionstoThreeCommercials
Slide15-113ExaminingResponsestoIndividualQuestions
Slide15-114ExaminingResponsestoIndividualQuestions
Slide15-115ExaminingResponsestoIndividualQuestions
Slide15-116ExaminingRespondents’Patternofresponse
Slide15-117ClassificationQuestions
Slide15-118ClassificationQuestions
Slide15-119ClassificationQuestions
Slide15-120ChecklistQuestions
Slide15-121ChecklistQuestions
Slide15-122ChecklistQuestions
Slide15-123ChecklistQuestions:PatternsofResponseRespondentchecksonlypositiveoptionsRespondentchecksonlynegativeoptionsRespondentchecksbothpositiveandnegativeoptions
Slide15-124ChecklistQuestions:PatternofResponse
Slide15-125ChecklistQuestions:PatternofResponse
Slide15-126RankingandOtherOrdinalQuestions
Slide15-127RankingandOtherOrdinalQuestions
Slide15-128RankingandOtherOrdinalQuestions
Slide15-129RatingandOtherIntervalQuestions
Slide15-130RatingandOtherIntervalQuestions
Slide15-131RatingandOtherIntervalQuestions
Slide15-132RatingandOtherIntervalQuestions
Slide15-133ConstantSumandOtherRatioQuestions
Slide15-134ConstantSumandOtherRatioQuestions
Slide15-135SubgroupAnalysis
Slide15-136SubgroupAnalysis
Slide15-137GuidelinesforSubgroupAnalysisThinkaboutthedatafromtheend-user’sperspectiveLookfortheunexpectedBeopen-mindedBesensitivetosamplesize
Slide15-138DataAnalysisinActionTwentyrespondentsCollectdemographicinformationAgeGenderCollecttypesofreactionstoadvertisingPurchaseintentMessagebelievabilityanduniquenessChecklistofreactions(interesting,confusing)
Slide15-139DataAnalysisinAction
Slide15-140DataAnalysisisAction:AppropriateAnalysesPurchaseIntent,believability,uniquenessMeanMedianModePercentageChecklistPercentage
Slide15-141DataAnalysisinAction:SummaryStatistics
Slide15-142DataAnalysisinAction:AgeSubgroups
Slide15-143DataAnalysisinAction:GenderSubgroups
Slide15-144DataAnalysisinAction:ReactionSubgroups
Slide15-145Allrightsreserved.Nopartofthispublicationmaybereproduced,storedinaretrievalsystem,ortransmittedinanyformorbyanymeans,electronic,mechanical,photocopying,recording,orotherwisewithoutthepriorwrittenpermissionofthepublisher.PrintedintheUnitedStatesofAmerica.
Slide16-146AdvertisingResearch
JoelJ.DavisChapter16:QuantitativeDataAnalysis:InferentialStatistics(Part1)
Slide16-147WhyuseInferentialStatistics?HowmuchconfidencecanIhavethatobserveddifferencesarereal?HowmuchconfidencecanIhavethatobservedrelationshipsarereal?
Slide16-148StatisticalSignificance:AlphaAlpha(
)representsprobabilitythatdifferenceisduetochanceBetween0and1LowernumbersreflectgreaterconfidenceForeaseofinterpretationreportedasapercentage
Slide16-149StatisticalSignificance:AlphaAlpha(
)representsprobabilitythatdifferenceisduetochanceBetween0and1LowernumbersreflectgreaterconfidenceForeaseofinterpretationreportedasapercentage
Levelofchanceis10%Levelofconfidenceis90%
Slide16-150AnExample:VideoGameAdvertisingYouwanttofindoutifexplicitlyincorporatingtheFordMustangintothegamehasanyeffectonplayers’attitudesandpreferencestowardthecar.YouarrangetohavetheMustangappearin(arandomlyselected)halfoftheplayers’gamewhiletheotherhalfofplayersarenotexposed.Afteranhourofplaying,apop-upwindowappearsandaskstheplayersiftheywouldanswerafewshortquestionsaboutthegame.ThequestionsrelatedtoMustangareshownbelowwherethe“awareness”measureisthepercentageofthesamplementioningMustangwhenasked“Whatcarnamesandtypescometomind?”andtheremainingthreemeasuresareeachgroup’saverageratingona“1”to“5”pointscalewherehighernumbersaremorepositive.
Slide16-151AnExample:VideoGameAdvertising
Slide16-152AnExample:VideoGameAdvertising
Slide16-153OneMeasure,OneLargeSampleMcDonald’stestsallcommercialsbeforeproductionComparesperformanceofproposedcommercialtopoolofpriorcommercialsCommercialisproducedonlyifitsignificantlyexceedsaverageofpriorcommercialsPurchaseintentkeymeasure
Slide16-154OneMeasure,OneLargeSample
Slide16-155OneMeasure,OneLargeSample1.Subtractpopulationaveragefromsampleaverage
3.9-3.1=.82.Dividepopulationstandarddeviationbysquarerootofsamplesize
1.6/10=.163.DividenumberfromStep1bynumberfromStep2
.8/.16=5.0
Slide16-156Z-ScoreSignificanceOnlineZ-scorecalculator
Slide16-157OneMeasure,OneSmallSample
Slide16-158OneMeasure,OneSmallSample1.Subtractpopulationaveragefromsampleaverage
3.2-3.6=-.42.Dividepopulationstandarddeviationbysquarerootofsamplesize
1.5/5=.33.DividenumberfromStep1bynumberfromStep2
-.4/.3=-1.33
Slide16-159T-ValueSignificance
Onlinet-testcalculator
Slide16-160ComparingSampletoPopulationProportionMcDonald’stestsallcommercialsbeforeproductionComparesperformanceofproposedcommercialtopoolofpriorcommercialsCommercialisproducedonlyifitsignificantlyexceedsaverageofpriorcommercialsKeymeasure:Proportionofrespondentssaying“McDonald’s”whenasked“Thenexttimeyougotoafastfoodrestaurant,wherewillyougo?”
Slide16-161ComparingSampletoPopulationProportion
Slide16-162ComparingSampletoPopulationProportion1.Turnallproportionsintodecimal.Subtractpopulationaveragefromsampleaverage.
.75-.57=.182.Multiplytwopopulationproportions
.57*.43=.253.DividenumberfromStep2bysamplesize
.25/50=.0054.TakesquarerootofnumberfromStep3
sqrtof.005=.0715.DividenumberfromStep1bynumberfromStep4
.18/.071=2.53
Slide16-163Z-ScoreSignificanceOnlineZ-scorecalculator
Slide16-164ExaminingaPatternofResponsesMostcommonapproachischi-squareExaminesfrequencydistributionanddeterminesifpatternissignificantlydifferentthanchance
Slide16-165ExaminingaPatternofResponse:Example
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