ContentslistsavailableatScienceDirect
Journal
of
Applied
Research
in
Memory
and
Cognition
j ou rn a l h o m epa g e : w w w . e l s e v i e r . c o m / l o c a t e / j a r m a c
Original
Article
How
far
does
it
feel?
Construal
level
and
decisions
under
risk
Martina
Raue
∗,
Bernhard
Streicher,
Eva
Lermer,
Dieter
Frey
DepartmentofPsychology,LudwigMaximilianUniversityMunich,Leopoldstr.13,80802Munich,Germany
a
r
t
i
c
l
e
i
n
f
o
Articlehistory:
Received1November2013 Accepted30September2014 Availableonline17October2014 Keywords: Construallevel Psychologicaldistance Risk Decisionmaking Framing Prospecttheory
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Researchhasshownthatframingdecisionsasgainsorlossesdistortshumanjudgment.Humanjudgment isalsoassumedtobeinfluencedbytheactuallevelofconstrual.Whetherdecisionsareconstruedinamore detailedmanner(lowlevelconstrual)orinamoreabstractmanner(highlevelconstrual)candepend onperceivedpsychologicaldistance.Inthepresentstudies,weexaminedtheinfluenceofframingand psychologicaldistanceonrisktaking.Inthreestudieswithstudents(n=65),physicians(n=60),and hotelmanagers(n=39),wefoundevidencethatconstruallevelinfluencesriskseekingingainsituations, butnotinlosssituations.Furthermore,theframingeffectcouldbereplicatedinpsychologicallyclose situations,andwaseliminated(Studies1and2)orreversed(Study3)inpsychologicallydistantsituations. Ourfindingsilluminatetheinterplayofframingandconstruallevel,andpointsouttheirapplicabilityin organizationaldecisionmaking.
©2014SocietyforAppliedResearchinMemoryandCognition.PublishedbyElsevierInc.Thisisan openaccessarticleundertheCCBY-NC-NDlicense(http://creativecommons.org/ licenses/by-nc-nd/4.0/).
Whatinfluencesprofessionaldecision making?Accordingto
theoriesofboundedrationality(e.g.,Selten, 2001;Simon,1955,
1991),peopledonotalwayscarefullyanalyzedecisionproblems,
butoftenrelyonintuitionsandheuristicswhenmakingdecisions.
Basedonthisdifferentiation,severalresearchershaveproposed
twocognitivesystems:Whilesystem1isintuitive,fastand
auto-matic,system2isdeliberative,slowerandcontrollable(seeEvans,
2009foranoverview;Kahneman,2003;Stanovich&West,2000).
Researchsuggests thatrelying onintuitionsand applying rules
ofthumb(heuristics)canimprovedecisionmaking(Gigerenzer,
Todd, &The ABC Research Group, 1999), but can also lead to
certainbiasesthatdistortjudgments(e.g.,Tversky&Kahneman,
1974).
Inthisarticlewefocusontheheuristics-and-biases program
asTverskyandKahneman(1974)haveintroducedit.Conclusions
fromtheirresearchhavemadeitoutsideofscienceintopractical
decisionmakingandhaveledtoawarenessforatleastsomeof
thesebiases.Forexample,duetoanincreasingamountof
popu-larpressonthetopic,decisionmakersmightbeawareofthefact
thatunrelatedpiecesofinformation(anchors)caninfluence
sub-sequentdecisions,orthatintensivepresscoveragemakesevents
seemmorelikelythantheyreallyare(Kahneman,Lovallo,&Sibony,
2011;Tversky&Kahneman,1974).Mostdecisionmakersmight
∗ Correspondingauthor.Tel.:+4908921803570;fax:+4908921805238. E-mailaddresses:martina.raue@psy.lmu.de(M.Raue),streicher@psy.lmu.de
(B.Streicher),eva.lermer@psy.lmu.de(E.Lermer),dieter.frey@psy.lmu.de(D.Frey).
alsoknowthattheframingofdecisionsintermsofgainsandlosses
canleadtocontradictingdecisionsinobjectivelyidentical
prob-lems.Thisphenomenonhasbecomeknownastheframingeffect
(Tversky&Kahneman,1981).
Butdoesitalsomakeadifferencewhetheradecisionismadefor
oneself,aclosefriend,oranemployee?Willamanagertakemore
riskswhenhemakesadecisionforabranchinanothercountrythan
whenmakingthesamedecisionforabranchinhishomecountry?
Theinterplayofpsychologicaldistanceandrisktakingin
profes-sionalsettingsisnot oftenexplored.Therefore, weinvestigated
thesequestionsinthreestudiesthatilluminatehowpractitioners’
decisionsunderriskmightbedistorted.
DecisionsunderriskhavereceivedspecialattentionbySlovic
(2010)whoassumesthatriskperceptionisusuallyaccompanied
bysomeformofemotionoraffect.Theperceptionofrisksas
feel-ingsthusleadstoarelianceonintuitionandaneglectofobjective
probabilitieswhenjudgingrisks(e.g.,Slovic,2010;Slovic&Peters,
2006;Slovic&Västfjäll,2010).Thishas,forexample,been
demon-stratedforsimpleinvestmentchoices:Whilehealthypeoplelost
money,patientswholackedaffectduetoneurologicalimpairment
didnot(Shiv,Loewenstein,Bechara,Damasio,&Damasio,2007).
DeMartino(2006)pointsoutthataffectalsoinfluencestheframing
effect,andexperimentsusingmagneticresonanceimagingsuggest
thattheframingeffectisstrongeramongpeoplewhostronglyrely
ontheirintuitions(Kahneman&Frederick,2007).Basedonthese
findings,wearguethatrisktakingbehaviorisaformofintuitive
decisionmakingandinvestigatedhowitisaffectedbythelevelof
construal.
http://dx.doi.org/10.1016/j.jarmac.2014.09.005
2211-3681/©2014SocietyforAppliedResearchinMemoryandCognition.PublishedbyElsevierInc.ThisisanopenaccessarticleundertheCCBY-NC-NDlicense (http://creativecommons.org/licenses/by-nc-nd/4.0/).
1. Construallevelanddecisionmaking
Construalleveltheoryofpsychologicaldistanceisbasedonthe
assumptionthatonlythehereandnowcanbedirectlyexperienced;
thefuture,otherplacesandotherpeoplearebelievedtobe
repre-sentedina moreabstractwaysuchasimaginations,memories,
plansorhopes.Therefore,thetheorystatesthatobjects,eventsor
individualsarerepresentedaseithercloseordistant.Thereference
pointistherebytheselfinthehereandnow,fromwhichanobject
canmoveawayintermsoftime,space,socialdistanceor
hypothet-icality.Whilepsychologicaldistancehasbeenlinkedtoabstract,
highlevelconstrualslikebroadconceptsoftheobject,
psychologi-calclosenesshasbeenlinkedtoconcrete,lowlevelconstrualssuch
asdiscretefeaturesoftheobject(Trope&Liberman,2010).This
alsoworksviceversainthewaypeoplejudgeabstractobjectsto
bemoredistant(Bar-Anan,Liberman,&Trope,2006).
Empiricalstudiessupportthenotionthatpsychologicaldistance
isassociatedwithdecisionmakingbyactivatingacertainlevelof
construal(Trope&Liberman,2010;Trope,Liberman,&Wakslak,
2007).Forexample,participantswhowereaskedtogiveadviceto
anotherpersonconcerningajobofferthatwasperceivedasdistant,
gavemoreweighttoabstractattributes(e.g.,personalsatisfaction)
thanconcreteattributes(e.g.,salary;Kray,2000).AnotherStudy
demonstratedthatparticipantswerelesspronetothesunkcost
bias(continuingtoinvestin analready failingproject;Arkes &
Blumer,1985)whentheinvestingcompanywaslocatedina
dis-tantasopposedtoanearlocation(Wakslak&Liberman,2006).
Researchinconsumerbehaviorhasdemonstratedthatpeople
pre-fertowaitforaproductdeliveryandsavethefeewhentheproduct
isdescribedinamoreabstractmanner,asopposedtoaconcrete
manner(Malkoc,Zauberman,&Bettman,2010).
Especiallyimportantdecisions(e.g.,highstakedecisions)
usu-allyinvolvethinkingaboutconsequences,andarethussuggested
tobeinfluencedbytheactivatedlevelofconstrual(Kim,Schnall,
&White,2013).TropeandLiberman(2010)highlightthat
induc-ingaconcretemindset(lowlevelconstrual)shiftsthefocusonto
thefeasibilityofanaction(e.g.,probabilityofapositiveoutcome),
whileanabstractmindset(highlevelconstrual)shiftsthefocuson
itsdesirability(e.g.,attractivenessoftheoutcome).Forexample,
intime-dependentgamblingtasksparticipantspreferredgambles
withhighprobabilityinthenearfuture,butgambleswithahigh
outcomeinthedistantfuture.Asaconclusion, theauthors
pro-posethattemporaldistanceshouldleadtomoreriskseekingdue
toafocusonthedesirabilityofanoutcome(Sagristano,Trope,&
Liberman,2002).Gettingbacktotheframingeffect,Trautmannand VandeKuilen(2012)pointoutthatpeopleintuitivelyinterpret
prospectsinriskydecisionsaseitherdesirableorfeasible.The
inter-playofconstruallevelandriskseekinghasrecentlybeenfurther
investigatedinaseriesofstudiesthatexperimentallymanipulated
thelevelofconstrual bydifferentways ofpriming.Participants
whowereprimedwithahigh(versuslow)construallevelengaged
in more risk taking and judged risks as less probable (Lermer,
Streicher,Sachs,Raue,&Frey,2014a;Streicher,Lermer,Sachs,& Frey,2012).ThisisalsoinlinewithfindingsbyWakslakandTrope (2009),whodemonstrated thatparticipantsinahighlevel
con-strualmindsetmadelowerprobabilityjudgmentsinneutraltasks
thanparticipantsinalowlevelconstrualmindset.
Thecurrentstudiesaddtothesefindingsbyinvestigatingthe
influenceofpsychologicaldistanceinriskydecisiontasks,which
isbelievedtobetterreflectpracticaldecisionmakingthana
prim-ingofconstrual level.Furthermore,thecurrent studiesnotonly
takealookatgainsituations,butalsoatlosssituationsand
espe-ciallyfocusondecisionmakingofpractitioners.Ithasrepeatedly
beendemonstratedthatpeopleengageinmoreriskseeking
behav-iorwhenconfrontedwithpotentiallossesasopposedtopotential
gains.Thisbehaviorisknownaslossaversionandassumedtobe
grounded onpeople’s hopetoavoid theunpleasant experience
ofloss(Kahneman&Tversky,1979;Tversky&Kahneman,1992).
While we haveintroducedresearch thatinvestigated the
influ-enceof construal levelonrisk seekingin gainsituations, there
is a lack ofresearch lookingat theinfluenceof construal level
inlosssituations.Shelley(1991),forexample,exploredwhether
a time delayin lossesaffects risk seekingand could not draw
a clearpicture.A seriesof fieldexperiments onrisk
communi-cationdemonstratedthatpersuasivelossframedmessageswere
strongerwhenpairedwithconcretefeatures,whilegainframed
messageswerestrongerwhenpairedwithabstractfeatures(White,
MacDonnell,&Dahl,2011).Furthermore,lossframed messages
activatedamoreconcretemindset,whilegainframedmessages
activatedamoreabstractmindset.Inasimilarlineofresearch,the
impactofpersuasivegainframedmessageswasstrongerwhenthey
concernedsociallydistantasopposedtosociallyproximalentities
(Nan,2007).Interestingly,inthisexperiment,theimpactof
loss-framed messageswasnot influencedby psychologicaldistance.
Thesefindingscouldbeexplainedbythenotedassumptionthat
peoplefocusonthedesirabilityofanoutcomewheninanabstract
mindset(e.g.,attractivegain),andonitsfeasibilitywhenina
con-cretemindset(e.g.,chanceofavoidingloss).Therefore,weexpect
anoppositeeffectofpsychologicaldistanceinlosssituations
com-paredtogainsituations.Thisisfurthersupportedbyexperiments
connectingregulatoryfocustheory(Crowe&Higgins,1997)and
construalleveltheory:Participantsinaconcretemindsetpreferred
apreventionfocus(avoidingloss)overapromotionfocus(attaining
gains;Förster&Higgins,2005;seeBryant&Dunford,2008foran
overview).
Decision makers are constantly confronted with different
dimensions of psychological distance. Theirdecisions can have
immediate(time:proximal)orlong-termconsequences(time:
dis-tal);can concernthepeople aroundthem (space:proximal) or
peopleinanothercountry(space:distal);orcanaffectthemselves,
their company (social distance: proximal), or other companies
(social distance: distal). Numerous laboratoryand field
experi-mentshavealreadyshownthattherearediscrepanciesindecision
makingbasedonwhetherthedecisionismadeforoneselfversus
someoneelse(Garcia-Retamero&Galesic,2012;Hsee&Weber,
1997; Polman, 2012;Stone, Yates, &Caruthers,2002), for now
versus later (Malkoc, Zauberman, &Ulu, 2005; Pronin, Olivola,
&Kennedy, 2007; Sagristanoet al., 2002), or for hereversus a
distantlocation(Goodman&Malkoc,2012).Additionally,
empir-icalresearchhassuggestedthattheperceiveddistancecanalso
beinfluencedindirectly.Anexamplehighlyrelevantforthe
pro-fessionalcontextis politeness.Politenesscreatessocial distance
anddistance,inturn,causespeopletoactmorepolitely(Stephan,
Liberman,&Trope,2010).Themannerinwhichclearfactsare
pre-sentedcanalsoleadtoavariationinperceiveddistance.Targets
oreventspresentedinlargernumbersandsmallerunits,suchas
7days,wereshowntobeperceivedmoreconcreteandasmore
dangerousthansmallernumbersandlargerunits,suchas1week
(White&Kwan,2013).Therefore,manipulatingconstruallevelvia
psychologicaldistanceishighlyreflectingreallifesituations.
Psy-chologicaldistanceisthusassumedtodirectlyinfluencethelevel
ofconstrualand,inturn,guidejudgmentanddecisionmaking(
Bar-Ananetal.,2006;Fujita,Henderson,Eng,Trope,&Liberman,2006;
Tropeetal.,2007).
Inthepresentresearch,weinvestigatedtheinfluenceof
con-struallevelonintuitivedecisionmakinginriskychoiceproblemsby
manipulatingpsychologicaldistance,becausedistancedimensions
aremoreorlessinherentineverydecision.Indifferentdecision
problems,wevariedseveraldimensionsofpsychologicaldistance
suchas social, spatial and temporal distance. In each problem,
twoorthree ofthesedimensionswerecombinedinawaythat
simplechangesofperceiveddistanceinthedescriptionofdecision
problemsinfluenceintendedrisktakingbehavior.Furthermore,we
investigatedhoweffectsofpsychologicaldistanceinteractwiththe
well-knownframingeffect(Tversky&Kahneman,1981).Todate,
thisinteractionremainslargelyunexplored(cf.Trautmann&Van
deKuilen,2012),butisofgreatimportanceforpractitioners,who
canbeconfrontedwithbotheffectsatthesametime.
2. Hypotheses
Thepresentinvestigationconsistedofthreestudies:Study1was
conductedinauniversitysettingandtheothertwostudieswith
practitioners,specificallyphysicians(Study2)andhotelmanagers
(Study3).Wemeasureddifferencesinparticipants’preferencesfor
riskandsecurityinriskychoices,framedaseithergainsorlosses,
andmanipulatedthelevelofconstrualbyvaryingpsychological
distance.Prospect theory(Kahneman&Tversky, 1979;Tversky
&Kahneman,1981)statesthatpeopleareriskaversewhen
con-frontedwithgainsandriskseekingwhenconfrontedwithlosses,
whichcanbeinducedbytheframingofdecisionsasgainsorlosses.
Accordingtorecentresearchonconstrualleveltheory(Trope&
Liberman,2010),whichshowsthatpeopleareriskaversewhenin
lowconstruallevelmindsetandriskseekingwheninanhigh
con-struallevelmindset,construallevelisexpectedtomoderatethe
influenceofframingeffectsondecisionmaking.Weexpectthat
anincreaseofconstruallevelshiftsthefocusonthedesirability
oftheoutcome.Whileinagainframe,thisshouldleadtomore
riskseeking,inalossframeweexpectmoreriskavoidancedueto
theunattractivenessofthepotentialloss.Thismaybestatedinthe
followingformalhypotheses:
Hypothesis1a. Inagainframe,peoplearemoreriskaverseina
lowconstruallevelthaninahighconstruallevelmindset.
Hypothesis1b. Inalossframe,peoplearemoreriskseekingina
lowconstruallevelthaninahighconstruallevelmindset.
While Hypotheses 1a and 1b were developed prior to
col-lectingthedata,theanalysisindicatedasecondhypothesisthat
weapproachedinanexploratorymanner:
Hypothesis2. Alow construallevel leadstostronger framing
effectsthanahighconstruallevel.
3. Study1
3.1. Method
3.1.1. Participantsanddesign
Oursampleincluded65students(72%female)aged18to47
(M=23.03,SD=5.27)fromaGermanuniversitywhoagreedto
par-ticipateinthisstudy.Theparticipantswererecruitedduringlecture
andweregivenabriefpaper-and-pencilsurveythatincludedan
unrelatedstudy.For participatingin bothstudies theyreceived
coursecredit,andhadthechanceofwinningoneoutofthree
text-booksonsocialpsychology.Participantswererandomlyassignedto
oneoftwoconditionsofthe2(between)×2(within)mixeddesign.
Thebetween-subjectsvariablewaspsychologicaldistance
(proxi-malvs.distal)andthewithin-subjectsvariablewasframing(loss
vs.gain).
3.1.2. Materialsandprocedure
WeusedtheAsiandiseaseproblemasgainframe(Tversky&
Kahneman,1981)andasimilarproblemaslossframetomeasure
theinfluenceofconstruallevelondecisionmakinginanapplied
andestablishedsetting.Construallevelwasmanipulatedby
fram-ingtheproblemaspsychologicallyproximal(lowconstruallevel)or
distal(highconstruallevel).Inthegainframeproblem,participants
in theproximal conditionweregiven thefollowing instruction
(parenthesesexcluded):
Imagineyouarepartofa studentboard(socialdimension)at
yourUniversitythat isincludedinimportantdecisions.
Cur-rently(temporaldimension),yourcity(spatialdimension)isbeing
threatenedbyanewfluvirusthatisexpectedtokill600
inha-bitants.Twoalternativeprogramstocombatthediseasehave
beenproposed.
Inthedistalconditionparticipantswereaskedtoimaginebeing
aconsultantinhealthcare,andthat anunusualdiseasewillbe
threateningsomecountriesinthecomingmonths.Thelossframe
problemconcernedemployeesthathavetobedismissed.
Partici-pantsintheproximalconditionwereaskedtoimaginetheyworked
foracompanyinthesamecityastheiruniversity.Theparticipants
immediatelyhadtolayoff300employeesalongwiththeir
super-visor.Inthedistalcondition,participantswereaskedtoimagine
beinga consultantfor a companyabroadthat willhaveto
dis-miss300employeesthefollowingyear.However,participantswere
offeredtwooptionsthatincludedthepossibilityofhavingto
dis-missfeweremployees.Insteadofmakingachoicebetweenoptions,
weaskedforparticipants’preferenceforthesafe(e.g.,200
employ-eeswillbedismissed)ortheriskyalternative(e.g.,1/3probability
thatnobodywillbedismissedor2/3probabilitythat300
employ-eeswillbedismissed)ona six-pointLikertscalefrom1(strong
preferenceforthesafeoption)to6(strongpreferencefortherisky
option).Themanipulationcheckconsistedofthreeitems
concern-ingperceiveddistance,concretenessandhypotheticalityofboth
decisionproblemsona5-pointscalefrom1(proximal)to5(distal),
˛=.73.
3.2. Resultsanddiscussion
A 2 (psychological distance)×2(framing) repeatedmeasure
ANOVAdidnotshowmaineffects,butindicatedaninteractionof
framingandpsychologicaldistance,F(1,62)=6.72,p=.01,p2=.10.
In the gain frame,low psychologicaldistance ledto more risk
avoidanceandhighpsychologicaldistancetomoreriskseeking,
t(63)=2.65,p=.01,d=.67(seeFig.1).Inthelossframe,therewas
noinfluenceofpsychologicaldistanceonriskseeking.Furthermore,
intheproximalcondition,participantspreferredthesafeoptionin
thegainframeandtheriskyoptioninthelossframe,t(31)=2.33,
p=.027,d=.61, whichreplicatestheframingeffect.However,in
thedistalconditiontherewasnodifferencebetweenparticipants’
preferences.
Concerningthemanipulationcheck,at-testrevealedthat
par-ticipantsin theproximalcondition(M=3.15,SD=1.21)showed
lowerratingsthanparticipantsin thedistal condition(M=3.91,
SD=1.04),t(63)=2.78,p=.007,d=.69,thussuggestingasuccessful
Fig.1.Preferencefortheriskyoptionintheproximalversusdistalcondition,inthe gainandthelossframe.Errorbarsindicate95%confidenceintervals.
manipulationofpsychologicaldistance.Bymanipulating
psycho-logicaldistance,weaimedatactivatingloworhighlevelconstruals
whenthinkingaboutriskychoices.InlinewithHypothesis1a,
peo-pleweremoreriskaverseintheproximal/gainframecondition
thaninthedistal/gainframecondition.Therewasnoeffectof
psy-chologicaldistanceonthelossframeconditionandHypothesis1b
couldnotbesupported.However,sincethetendencyisinlinewith
Hypothesis1b,themanipulationofconstruallevelmighthavebeen
strongerinthegainconditionthaninthelosscondition.Savingor
losinglivesmightbemorepolarizingthandismissingorkeeping
employees.Furthermore,theframingeffectcouldonlybe
repli-catedintheproximalcondition,butwaseliminatedinthedistal
condition,whichsupportsHypothesis2.Still,thedifferentsetting
ofthegainandlossframemighthaveconfoundedourresults.Based
ontheassumptionthatintuitivedecisionmakingdevelopsthrough
experience(e.g.,Betsch,2008;Klein,1993;Reyna,2004),onemight
criticizethatthestudentsampleusedinStudy1didnotrelyon
theirintuitionswhenconsideringtheoptionsduetoalackof
expe-riencewiththetopic.Therefore,inStudies2and3,whichwere
conductedparallel,weinvestigatedpractitioners’decisionmaking
intheirfieldsofexpertise.
4. Study2
ThefindingsfromStudy1suggestaninteractionofgainversus
lossframingandthelevelofconstrualthatinfluencesriskychoice
behavior.InStudies2and3,wefurtherinvestigatedthisinterplay
anditsapplicabilityinorganizationaldecisionmaking.Wechose
tostudyphysiciansandhotelmanagers,sincewehadeasyaccess
tobothofthesesamples.Inprofessionalsettings,decisionmakers
arecontinuouslyconfrontedwithproblemsthatareframedeither
asratherproximalorratherdistal.FollowingTropeetal.(2007),
thisframingactivatesdifferentmindsets.Physiciansareonegroup
ofprofessionalsthathavetomakehigh-stakeandoftenquick
deci-sionsonadailybasis.Forexample,in2012,physiciansinGermany
wereonstrikebecausetheregulationsofhealthinsurance
com-paniesshortenedtheirfeesfor consultations.Thisdevelopment
leadstolesstimespentwitheachpatient,whichisaccompanied
bymoreanonymityinmedicaloffices,andthereforeanincrease
inperceivedsocialdistance.Anevenstrongerperceivedsocialand
alsospatialdistanceisassumedtobefoundinonlineconsultations.
Influencedonlybytheactivatedlevelofconstrual,thefinal
medi-caldecisionoradvicemightbecompletelydifferentandpotential
consequencescanbesevere.Therefore,itishighlyrelevantto
inves-tigatewhetherourfindingsalsoaffectprofessionalsinaclinical
setting.
4.1. Method
4.1.1. Participantsanddesign
Overall, 150 physicians started the online questionnaire. Of
theseparticipants,72cancelledthesurveyatonepoint,17hadtobe
excludedduetotechnicalproblemsofthesurveytool,andonedue
tonotbeingaphysician.Overall,60physicians(54%female)aged
27to61(M=37.31,SD=8.43)fromGermanycompletedthesurvey.
Thestudywasconductedonlineand124physiciansofdifferent
specializationswerecontacteddirectlythroughe-mail(basedon
personalcontactsandonlinesearch).However,sincee-mailswere
forwardedfromphysicians totheircolleaguesand wealso
pro-motedthestudyonFacebook,acleardropoutratecouldnotbe
calculated.
The specializations of thephysicians includedprimary care,
anesthesia, cardiology, orthopedics, gynecology, surgery,
pedi-atrics,dermatology,urology,internalmedicine,andpsychiatrics.
Mostoftheparticipants(34%)had5to10yearsexperience,30%
had1to4yearsexperience,16%had10to20yearsexperience,
13%hadmorethan20yearsexperience,and5%hadlessthan1
yearexperience.Forparticipatinginthestudy,physicianshadthe
chanceofwinningoneoutoftwobooksonmedicaldecision
mak-ing.Participantswererandomlyassignedtooneoftwoconditions
ofthe2(between)×4(within)mixeddesign.Thebetween-subjects
variablewaspsychological distance(proximalvs. distal)and the
within-subjectsvariablewasframing(2×lossvs.2×gain).
4.1.2. Materialsandprocedure
Participantswerepresentedwithfourmedicaldecision
prob-lems, either described as psychologically proximal (n=28) or
psychologicallydistal(n=32),inrandomorder:twoinagainframe
(decision 1 and2) and two in a lossframe(decision 3 and 4).
Decision1concernedanindividualtreatment,decision2a
gen-eraltreatment(adoptedfromGarcia-Retamero&Galesic,2012),
decision3wastheAsiandiseaseproblem(Tversky&Kahneman,
1981),whichisalsoageneraltreatmentdecision,anddecision4
concernedanindividualtreatmentdecision.Eachproblemoffered
ariskyoptionwithahighoutcomeandasafeoptionwithalow
outcome,analoguetotheclassicAsiandiseaseproblem,whichwas
alsoincluded.Choiceoptionsdidnotdifferinexpectedvalue.
Construallevelwasmanipulatedbypsychologicaldistancein
thewaythattheproblemsvariedintermsoftemporal,social,and
spatialdistance.Asanexample,decision2wasdescribedasfollows
(thedistancemanipulationishighlightedthroughboldletters):
Proximalcondition:Youwouldliketoimplementan
innova-tivetreatmentconceptfor100ofyourpatientswhosehealth
situationhasnotimprovedwiththestandardtreatment.Today
youneedtodecidehowtoproceed.
Distalcondition: Nextmonth a newcolleague willstart in
yourpracticeandwouldliketoimplementaninnovative
treat-mentconceptfor100patientswhosehealthsituationhasnot
improvedwiththestandardtreatment.Whichapproachwould
youprefer?
ConceptA:Thereisan80%probabilitythatthehealthsituation
of40patientswillimprove.
Concept B: The health situation of 30 patients will surely
improve.
In ordertoget aclearer pictureof participants’preferences,
wechangedtheratingschemefromStudy1toStudy2.Besides
makingachoicebetweentheoptions,participantsindicatedtheir
preferencefortheriskyalternative(conceptAintheexample)and
theirpreferenceforthesafealternative(conceptBintheexample)
separatelyandforeachsituationona7-pointscalefrom1(little
preference)to7(strongpreference).
5. Resultsanddiscussion
Participants’choicesshowcleardifferencesbetweengainand
lossframes,butnotbetweenpsychologicaldistanceconditions(see
Figs.2and3).Theanalysisofourdatasupportsthisnotion,
espe-ciallyforonegain–losspairintheproximalcondition:Participants
preferredthesureoptionindecision1(gain)andtheriskyoption
indecision4(loss),2(1,28)=4.77,p=.029,whicharethe
individ-ualtreatmentdecisions.Thisisinlinewithprospecttheory,stating
thatpeopleareriskaverseingainframesandriskseekinginloss
frames.Insum,intheanalysisofchoices,wedidnotfindsupportfor
Hypotheses1aand1b.Nevertheless,therewasaframingeffectin
theproximal,butnotinthedistalcondition,whichisinlinewith
Hypothesis2.Descriptively,thedistalconditionalsoshowedthe
framingeffect,butobviouslyweakerandthereforestillsupports
Fig.2.Choiceofphysiciansbetweenthesureandtheriskyoptionforeachdecision intheproximalcondition.
Fig.3.Choiceofphysiciansbetweenthesureandtheriskyoptionforeachdecision inthedistalcondition.
In the next step, we took a look at the preferences for
eachoption.A 2(psychologicaldistance)×4(framing)repeated
measuresANOVA revealedthat participants had higher
prefer-encesforthesureoption inthegainthaninthelossdecisions,
F(3,174)=49.66,p<.001,p2=.46,andhigherpreferencesforthe
riskyoptioninthelossthaninthegaindecisions,F(3,174)=50.56,
p<.001, p2=.47. Thisreplicatestheclassicframing effect.
Pre-ferencesforthesureoption werenotaffectedbypsychological
distance (see Fig. 4), F(3, 174)=1.17, p=.32, p2=.02, but
pre-ferencesfortheriskyoption wereaffectedbyan interactionof
framingand psychologicaldistance(seeFig. 5), F(3,174)=4.40,
p=.01,p2=.07.
Afurtherinvestigationofthatinteractionrevealedthat
psycho-logicaldistanceseemstoaffectthegeneral,butnottheindividual,
treatmentdecisions.Theindividualtreatmentdecisions1and4
Fig.4.Preferenceforthesureoptionintheproximalversusthedistalcondition,in thegain(decision1anddecision2)andthelossframe(decision3anddecision4). Errorbarsindicate95%confidenceintervals.
Fig.5.Preferencefortheriskyoptionintheproximalversusthedistalcondition,in thegain(decision1anddecision2)andthelossframe(decision3anddecision4). Errorbarsindicate95%confidenceintervals.
showedstrongframingeffects,bothintheproximal,t(27)=−9.52,
p<.001,d=2.97, andthe distalcondition,t(31)=−7.88,p<.001,
d=1.87,anddidnotdifferacrosspsychologicaldistanceconditions.
However,thegeneraldecisions2and 3revealed aninteresting
pattern:Participantsweremoreriskseekingindecision2(gain)
inthedistalthanintheproximalcondition,t(58)=−2.65,p=.01,
d=.69,whichsupportsHypothesis1a.AsshowninFig.5,the
ten-dencyofdecision3(andalsodecision4,bothloss)isinlinewith
Hypothesis1b,indicatingmoreriskseekingfortheproximalthan
thedistalcondition,butthisisnotsupportedstatistically.
Further-more,whilewe founda framingeffectfor decisions2and 3in
theproximalcondition,t(58)=−3.56,p=.001,d=1.00,the
fram-ingeffectdisappearedinthedistalcondition,t<1.Thisstrongly
supportsHypothesis2,statingthattheframingeffectisweakerin
thedistalthanintheproximalcondition.
AsinStudy1,Study2revealedaninteractionofframingand
psychologicaldistanceforgeneraltreatmentdecisions,indicating
thatconstruallevelmoderatesframingeffects.Inlinewith
Hypoth-esis 1a,physicians were more risk aversein the low construal
level/gainframeconditionthanin thehighconstrual level/gain
frame condition. We also found some descriptive support for
Hypothesis1b,showingthatriskseekingislowerinthehigh
con-struallevel/loss framecompared tothelowconstrual level/loss
framecondition.Furthermore,we founda framingeffectinthe
proximal,butnot inthedistal condition,indicating supportfor
Hypothesis2.
Theindividualtreatmentdecisionsdidshowaframingeffect,
butwerenotaffectedbypsychologicaldistancemanipulation.An
explanationcouldbethatthehighconstruallevelmanipulation
failedfordecisions1and4.Thefactthatthesedecisionsconcerned
individualtreatmentsmighthavereducedperceivedpsychological
distance.Thisnotionissupportedbythefactthat,across
condi-tionsandespeciallyconcerningpreferencesfortheriskyoption,
we found a differencewithin the gain frame (decisions1 and
2),t(59)=−7.02,p<.001,d=1.02,andthelossframe(decisions3
and4),t(59)=−4.30,p<.001,d=.60.Whiledecision1showshigh
riskavoidance,decision4showshighriskseeking.Basedonour
hypotheses,thisindicatesthatbothdecisionsareperceivedas
psy-chologicallyproximal.
Study2furthersupportsthefindingsofStudy1,indicatingthat
construal level moderates theframing effect.Participants were
more risk seeking in psychologically distal as opposed to
psy-chologicalproximalgainframes.Highpsychologicaldistanceand
thereforeanactivationofhighlevelconstrualsnotonlyledtoa
reductionoftheframingeffect,butrathereliminatedit.Thefact
thatwedidnotfindthisforindividualtreatmentdecisionsmight
above.Overall,resultsfromStudy2 replicatethefindingsfrom
Study1inaprofessionalsetting.
6. Study3
Study3wasconductedparalleltoStudy2withthesamedesign,
butinsteadofphysiciansweaskedhotelmanagers.Therefore,the
contentoftheproblems wasadaptedtoamanagement setting.
Managersareanothergroupofprofessionals thathavetomake
high-stakefinancialorpersonneldecisions ona dailybasis. For
example,perceivedclosenessordistancetowardemployeesmight
influence personnel decisions. Investment decisions that imply
somekindofdistancemightaffecttheinvestedamount.We
devel-opedfourdecisiontasksinahotelmanagementsettingandchose
differenttopics(e.g.,money,employees)inordertoincreasethe
chancesofreplicatingtheframingeffect.
6.1. Method
6.1.1. Participantsanddesign
Overall,92hotelmanagersstartedtheonlinequestionnaire.Of
these,53cancelledthesurveyatonepoint,while39hotelmanagers
(19%female)aged23to69(M=44.44,SD=12.35)fromGermany
participatedinthewholestudy.Thestudywasconductedonline
and100hotelmanagerswerecontacteddirectlythroughe-mail
(basedonpersonalcontactsandonlinesearch).However,since
e-mailswereforwardedfrommanagerstotheircolleaguesandwe
alsopromotedthestudyonFacebook,acleardropoutratecould
notbecalculated.Overhalf(59%)oftheparticipantsmanageda
medium-sizedhotel with11to50employees,aboutonefourth
(24%)managedalarger-sizedhotelwith51–100employees,and
therestmanagedsmaller(10%)orlarger(7%)hotels.Mostofthe
participants(34%)had10to20yearsexperiencerunningahotel,
aboutonefourth(22%)hadmorethan20yearsexperience,12%had
5to10yearsexperience,20%had1to4yearsexperience,and12%
hadlessthanoneyearexperience.Furthermore,70%ofthehotels
werefour-starshotels,24%werethree-starshotels,andtherest
wereeitherone-star(2%)orfive-stars(4%)1.Forparticipatingin
thestudy,thehotelmanagershadthechanceofwinningoneoutof
twobooksonhotelandbarpsychology.Participantswererandomly
assignedtooneoftwoconditionsofthe2(between)×4(within)
mixeddesign.Thebetween-subjectsvariablewaspsychological
dis-tance(proximalvs. distal)and thewithin-subjectsvariablewas
framing(2×lossvs.2×gain).
6.1.2. Materialsandprocedure
Participants were presented with four managerial decision
problems,eitherdescribedaspsychologicallyproximal(n=16)or
psychologicallydistal(n=23),inrandomorder:twoinagainframe
(decision1and2)andtwoinalossframe(decision3and4).In
decision1,anewpromotionconceptwasintroducedthatcould
increasethenumberofguests.Indecision2,aninvestmentin
ren-ovationneededtobemadethatcouldincreasesales.Indecision3,
savingmeasuresneededtobeimplementedinordertopreventthe
dismissalofemployees.Indecision4,savingmeasuresneededto
beimplementedthatimpliedareductionofthemanager’ssalary.
Construallevelwasmanipulatedbypsychologicaldistanceinthe
waythattheproblemsvariedintermsoftemporal,social,and
spa-tialdistance.Asanexample,decision1wasdescribedasfollows
(thedistancemanipulationishighlightedthroughboldletters):
1One-star=tourist,two-stars=standard,three-stars=comfort,four-stars=first
class,five-stars=luxury(hotelratingaccordingtotheGermanHotelandCatering Association).
Proximalcondition:Youurgentlyneedtoinvestinyour
orga-nizationandyouhavedecidedtoimmediatelyrenovatesome ofyourrooms.Thisverydayyouwanttoawardthecontract
andhavetochoosebetweentwodifferentofferswhose
conse-quencesyouhavealreadycalculated.
Distalcondition:A colleagueasksyouforadviceconcerning
upcomingpossibilitiesforinvestment.Hewouldliketo
ren-ovate someroomsthe followingyearand he hasreceived
differentofferswhoseconsequenceshealreadycalculated.
OptionA:Withthisrenovationsaleswillsurelyincreaseby5%.
OptionB:Withthisrenovationthereisa50%chancethatsales
willincreaseby10%anda50%chancethatsaleswillnotincrease
atall.
AsinStudy2,besidesmakingachoice,participantsindicated
theirpreferencefortheriskyalternative(optionBintheexample)
andtheirpreferenceforthesafealternative(optionAinthe
exam-ple)separately,andforeachsituationona 7-pointscalefrom1
(littlepreference)to7(strongpreference).
6.2. Resultsanddiscussion
Whenwelookatchoices(seeFigs.6and7),participantshada
clearpreferencefortheriskyoptionindecision3(loss)compared
totheremainingdecisions.Descriptively,thepreference forthe
riskyoptionisstrongerintheproximalconditionasopposedto
thedistalcondition,whichisinlinewithHypothesis1b.However,
thesmallsamplesize(n=16)intheproximalconditionmightbe
thereasonthatouranalysesdonotreachanacceptablelevelof
statisticalsignificance.
Wefoundtheclassicframingeffectfordecisions2(more
secu-rity seekingin thegainframe) and 3(moreriskseekingin the
Fig.6.Choiceofhotelmanagersbetweenthesureandtheriskyoptionforeach decisionintheproximalcondition.
Fig.7.Choiceofhotelmanagersbetweenthesureandtheriskyoptionforeach decisioninthedistalcondition.
Fig.8.Preferenceforthesureoptionintheproximalversusthedistalcondition,in thegain(decision1anddecision2)andthelossframe(decision3anddecision4). Errorbarsindicate95%confidenceintervals.
lossframe),2(1,39)=4.39,p=.036,acrossconditions.Our
analy-sesfurtherrevealedadifferencebetweendecisions1(gain)and4
(loss)inthedistal,2(1,23)=5.79,p=.016,butnotintheproximal
condition.Whileparticipantswereindifferentindecision1(gain),
theychosethesureoptionmoreoftenindecision4(loss),which
alsosupportsHypothesis1b.
Asin Study2,we alsolookedat thepreference forthesure
andtheriskyoptionseparately(seeFigs.8and9).A2
(psycho-logicaldistance)×4(framing)repeatedmeasureANOVArevealed
amaineffectofframingforpreferencesforthesureoption,F(3,
111)=4.25,p=.007,p2=.103,andpreferencesfortheriskyoption,
F(3,111)=4.19, p=.007, p2=.102. However, psychological
dis-tancedidnothaveaneffectoneitherofthemeasures,Fs<1,and
wealsodonotfindinteractions,Fs<1.
Inordertogetaclearerpictureoftheframingeffect,we
com-paredgain–losspairsseparatelyfor eachcondition.Participants
bothintheproximal,t(15)=2.29,p=.037,d=.71,and thedistal
condition,t(22)=2.11,p=.046,d=.56,hadhigherpreferencesfor
securityindecision2(gain)thanindecision3(loss),indicatinga
classicframingeffect.However,theeffectisweakerinthedistal
condition,whichindicatessomesupportforHypothesis2.
InlinewithHypotheses1aand1b,theframingeffectisreversed
fordecision1anddecision4inthedistalcondition:While
partici-pantswereratherriskseekingindecision1(gain),theywererather
riskavoidingindecision4(loss),t(22)=4.60,p<.001,d=.95.Atthe
sametime,thiseffectcontradictsHypothesis2,statingthatahigh
construallevelreducesframingeffects.However,thereasonforthis
effectmightalsolieinthecontentsofdecisions1and4.While
deci-sion1concernsanewadvertisingconceptthatmightleadtomore
(15%increasewithachanceof80%)orless(10%increase)overnight
Fig.9.Preferencefortheriskyoptionintheproximalversusthedistalcondition,in thegain(decision1anddecision2)andthelossframe(decision3anddecision4). Errorbarsindicate95%confidenceintervals.
stays,decision4concernssavingmeasurementsthatmightleadto
larger(50%decreasewithachanceof50%)orsmaller(25%decrease)
lossesinsalaryforthemanager.Theriskyprospectofdecision4
isquiteharmfuland mightlead toexistentialproblemsforthe
manager,whichcouldbethereasonwhywefindstrongerrisk
aver-sioninthisdecisionthaninallotherdecisions.Furthermore,due
totheirexperience,ourparticipantsmightnot havebelievedin
anadvertisingconceptthatsurelyincreasestheovernightstays,
plustheyalsomightbeusedtohavingsomeriskwheninvestingin
marketing.
Inconclusion,whencomparingdecisions2and3,wefounda
framingeffectinthepreferencesforthesureoption,whichwas
slightlystrongerfortheproximalthanthedistalconditionand
sup-portsHypothesis2.Psychologicaldistancehadnoeffectandwedid
notfindclearsupportforHypothesis1aand1b.However,when
comparingdecisions1and4,theframingeffectwasreversedfor
thedistalconditionandthisfindingpartlysupportsHypothesis1a
and1b,butcontradictsHypothesis2.
7. Generaldiscussion
Ourresultssupportthenotionthatbothnovicesand
profes-sionalsareinfluencedbyperceivedpsychologicaldistancewhen
making decisions under risk. In line withTrope and Liberman
(2010),wepresumedthatavariationinperceivedpsychological
distanceaffectsthecognitivemindset,leadingtomoreconcrete
thinking(lowconstruallevel)inpsychologicalclosesituationsand
moreabstractthinking(highconstruallevel)inmoredistant
situ-ations.Overall,twoimportantresultsemergedfromourstudies.
First,inStudies1and2wefoundevidenceforHypothesis1a,
statingthatahighconstruallevelleadstolessriskavoidanceingain
framesthanalowconstruallevel.Whiletheproximalcondition
(i.e.,lowconstruallevel)ledtoriskavoidance,whichisinlinewith
prospecttheory,thedistalcondition(i.e.,highconstruallevel)led
toriskseeking,whichcontradictsprospecttheory.Inlossframes,
construalleveldidnothaveaninfluenceonriskseeking,andwe
didnotfindevidenceforHypothesis1b,statingthatalowconstrual
levelleadstomoreriskseekinginlossframesthanahighconstrual
level.However,areversedframingeffect(moreriskavoidancein
thelossthaninthegainframe)thatwefoundinStudy3partly
supportsbothHypothesis1aand1b,butforthedistalcondition
only.ThecontradictingresultsinthelossframesofStudies1and2
maybeduetooneoftworeasons:eithertheconstruallevel
manip-ulationwasnotstrongenough,ortheinfluenceoflossaversionis
strongerthantheimpactofconstruallevel.Thephenomenonofloss
aversion,whichstatesthatlossesloomlargerthangains,isseenas
oneofthemostcommonbiasesindecisionmaking(Hastie,2001;
Kahneman&Tversky,1979;Tversky&Kahneman,1981,1992).A
recentseriesofexperimentsevensuggeststhatitdominates
con-strualleveltheory(Trautmann&VandeKuilen,2012).Thismight
explaintheresistanceoflossaversiontoourmanipulation,but
needstobefurtherinvestigated.
Second,theclassicframingeffectwasreplicatedforthe
proxi-malcondition,butwaseliminated(Studies1&2)orreduced(Study
3)inthedistalcondition,whichsupportsourexploratory
Hypoth-esis2,statingthatalowconstruallevelleadstostrongerframing
effectsthanahighconstruallevel.Experimentshaveshownthat
thebiasofframingcanbereducedoreveneliminatedwhen
peo-plerelymoreondeliberativethinkingthanonintuitivethinking
(e.g.,Keysar,Hayakawa,&An,2012).Reasonsforashiftfrom
intu-itivetomoredeliberativethinkingmightbebasedonareductionof
emotionalresonancecausedbytheincreaseinpsychological
dis-tance(Keysaretal.,2012)oronperceiveddisfluency.Disfluency
occurswhenanexperienceismoredifficulttoprocesscognitively,
(Alter&Oppenheimer,2008).Intermsoftheframingeffect,loss
framesareassumedtobeprocessedmorefluentlywhen paired
withconcreteattributesandlowpsychologicaldistance,
respec-tively(Whiteet al.,2011).Disfluency cantemperconfidencein
one’sjudgmentandleadtoashifttomoreanalyticalprocessing
(Alter&Oppenheimer,2008).
Insum,ourresultssuggestthatitnotonlymakesadifference
whetheradecisionisframedintermsofgainsorlosses(Tversky
& Kahneman, 1981), but also if a decision is framed in terms
ofpsychologicalclosenessor distance.Fromphysicianswho do
onlinediagnosestomanagerswhomakehigh-stakefinancial
deci-sionsforinternationalbranches,allareconfrontedwithaspectsof
psychologicaldistance.Whiletheheuristics-and-biasesapproach
hasa longtraditionand receivedquitea lotofattentioninthe
realworld,construallevel theoryis rathernew.Construallevel
theoryexplainscognitivemechanismsunderlyingknown
psycho-logicaleffectssuchastime-dependedchangesinpreference(e.g.,
Loewenstein,1987;Thaler,1992)andphenomenaconcerningthe
psychology of prediction (e.g., the planning fallacy; Kahneman
&Tversky, 1979).Furthermore, construal level theorysuggests
thattemporal,socialandspatialdistanceinfluencepeople’s
cog-nitiveprocessingofeventsinthesameway.Thereforethetheory’s
applicationtopracticaldecisionmakingisespeciallyinteresting.
Practitionersneedtobemadeawareofthefactthatpsychological
distanceinherentinadecisionproblemcaninfluencetheir
mind-setandthereforetheirdecisionmakingbehavior.Adecisionmaker
mightwanttothoroughlyconsiderwhoisaffectedbyhisdecision
andwhenorwhereitwillcomeintoeffect.Oneormoreofthese
psychologicaldistancedimensionscanbefoundinalmostevery
decision.
Inorder toimprovepractical decisionmaking,psychological
distancecouldbeintentionallyvariedtoward amoredistantor
acloserperspective.Thatwouldprovidea decisionmakerwith
theopportunitytoilluminateadecisionfromdifferentdistant
per-spectivesandconsideritsinfluenceonhisevaluation.Forexample,
ifamanagerisconsideringmakingabiginvestmentinanother
country,hemightwanttoimaginehimselfbeingon-siteversusfar
away,aclosefriendbeingaffectedversusanunknownperson,or
theconsequencesofanimmediateimplementationversusafuture
implementation.Whetherhypotheticality,thefourthdimensionof
psychologicaldistance,alsoinfluencespracticaldecisionmaking
needstobefurtherinvestigated.
Agreat potentialconcerningthe practicalapplication of our
researchmightlieinthefieldofriskcommunication.AsGigerenzer,
Gaissmaier,Kurz-Milcke,Schwartz,andWoloshin(2007)propose,
psychologicalresearchneedstoinvestigatehowtopresentrisks
visuallyaswellasnumericallyinawaythatfosterseasyand
cor-rectprocessing.Basedonseveralexperiments,theauthorspropose
thatrisksshouldbepresentedintermsofabsoluterisksinsteadof
relativerisksandasnumbersinsteadofwords,sincetheformer
leadstomoreaccurateriskperceptions.Lermer,Streicher,Sachs,
andFrey(2013)furtherinvestigatedthepresentationofrisksand
suggestthat theabstractness ofthe target(e.g.,person atrisk)
moderatestheinfluenceofpresentationformatonriskperception.
Thisindicatesthatconstruallevelmightcontributetothe
discus-siononhowtoeffectivelypresentrisks.Studieshavepointedout
thatlargernumbersandsmallerunits(e.g.,7daysasopposedto1
week)increaseperceivedharm(White&Kwan,2013)orthatthe
presentationofmessagesaspicturesversuswordsaffectsperceived
psychologicaldistance.Forexample,whilepeoplepreferred
pic-tureswhencommunicatingwithproximalothers,theypreferred
wordswithdistalothers.Inthesamelineofresearch,itwas
sug-gestedthatpeoplearemorelikelytoheedtheadviceofamessage
if themedium of presentation (aspicture or word) is
congru-entwithpsychologicaldistance(Amit,Wakslak,&Trope,2012).
Lermer,Streicher,Sachs,Raue,andFrey(2014b),ontheotherhand,
havefoundevidencethatrisksthataregenerallyoverestimated
becomemoreaccuratewheninducingaconcretemindset,while
veryunlikelyrisksthataregenerallyunderestimatedbecomemore
accuratewheninducinganabstractmindset.Insum,thecurrent
findingsimplythatconstrualleveltheoryshouldbeconsideredin
riskcommunicationand suggestfurtherresearchconcerningits
practicalapplication.
Ourfindingscontributetodecisionmakingtheoryandhighlight
theimportance of subtle influences, suchasperceived
psycho-logical distance,onpractical decision making.However,further
research is needed to draw a clearer picture concerning the
interplayofframingandconstruallevel,especiallyoutsidethe
lab-oratory.Beyond that,it couldbeinterestingtoinvestigatehow
construalleveltheoryinteractswithcompetingapproachesinthe
areaofintuitivedecisionmaking.Theseapproachesmightinclude
fast-and-frugalheuristics(Gigerenzer,Todd,&TheABCResearch
Group,1999), fuzzy-tracetheory (Reyna &Brainerd, 1995), the
adaptivedecisionmaker(Payne,Bettman,&Johnson,1993),or
con-nectionistmodelssuchasparallelconstraintsatisfaction(Glöckner
&Betsch,2008).Theseideasgobeyondthescopeofthisarticle,but
carrygreatpotentialforfutureresearch.
ConflictofIntereststatement
Theauthorsdeclarethattherearenoconflictsofinterest.
Acknowledgements
We thank Dominique Schapperer for providing excellent
researchassistance.
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