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Moral Judgment and Student Discipline: What Are Institutions Teaching? WhatAre Students Learning?
Merryl Cooper, Robert Schwartz
Journal of College Student Development, Volume 48, Number 5, September/October2007, pp. 595-607 (Article)
Published by Johns Hopkins University PressDOI:
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https://doi.org/10.1353/csd.2007.0049
https://muse.jhu.edu/article/221310
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Moral Judgment and Student Discipline: What Are Institutions Teaching? What Are Students Learning?Merryl Cooper Robert Schwartz
College students find themselves in conflictwith their college or university when theymakechoicescounter to theexpectationsofthe institution.Typically, these expectationsforconductareoutlinedinapublishedcodeofconduct,whichis,inasense,amoralcodeforstudentbehavior.“Thespecialfunctionoftheconstructofmoraljudgmentistoprovideconceptual guidance for action choice insituationswheremoralclaimsconflict,”(Rest,Narvaez,Bebeau,&Thoma,1999,p.499).This statement highlights the essence of aquestionoftenraisedincollegeanduniversityjudicialaffairsofficesacrossthecountry—dostudentswhoviolateconductcodesoperateata lower level of moral judgment than thosewhodonot?
Purpose of the StudyToinvestigatethemoraljudgmentofcollegestudentswhoviolatecampusjudicialcodes,agroupofstudentswhohadbeenreferredforajudicial hearing and sanction process werestudiedtodeterminetherelationshipbetweenlevels of moral judgment, type of disciplinecode violation, and selected demographicvariables,e.g.,age,gender,Greekaffiliation,gradepointaverage(GPA),andyearinschool.A second group of students who were notinvolvedinthejudicialprocesswereexaminedfor comparison purposes. Moral judgmentscoresweregatheredfromviolatorsandnon-violatorsviatheDefiningIssuesTest2(DIT2;Rest,Narvaez,Thoma,etal.,1999). The primary research question in this
studywas:Whatdifferencesinmoraljudgment,ifany,existbetweenthosestudentswhohaveviolatedauniversityconductcodeandthosewho have not? Specific research questionsincluded:
1. Aretheredifferencesinmoraljudgmentamongstudentswhocommitdifferenttypesofconductcodeviolations?
2. Arethedifferencesinjudgmentaffectedbyage,classlevel,gender,GPA,oraffiliationwithaGreek-letterfraternityorsorority?
3. Aretheredifferencesinmoraljudgmentbetweenstudentswhoviolatealcoholregulationsversusstudentswhohaveothertypesofviolations?
ReVIew of RelATeD lITERATuRECurrentresearchonmoralactionbreakstheprocess of moral decision-making into fourparts:(a)theabilitytorecognizeasituationashavingamoraldimension,(b)theabilitytodiscern right and wrong, (c) the ability tochooseacourseofactionamongcompetingvalues,and(d)theabilitytoimplementthatchoice(Rest,1986).Thesefourdimensions,which Rest (1986) described asThe FourComponent Model, represent a synthesis ofprocesses that individuals use for moral be-havior.Thesecondcomponent,howapersondecidessomethingismorallyrightorwrong,ismoraljudgmentandistheinterpretivelensfor this study. Current literature identifies
Merryl Cooper was a doctoral student of Higher Education at Florida State University. Robert Schwartz is Associate
Professor of Higher Education at Florida State University.
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several key factors that appear to influencemoraljudgmentamongcollegestudents.Thesefactors include age, level of education, aca-demic performance, Greek affiliation, andalcohol use. Each factor is discussed brieflybelow.
AgeThoma (1986) found that although genderdifferences accounted for only 0.2% of thevariance in the Defining IssuesTest (DIT)scores,ageandeducationlevelswere250timesmorepowerfulinpredictingmoraljudgmentabilities(r=.52).Thoma’sresearchcorroboratesandsupportsmanyresearchstudieswhereageand education level are the most powerfulcorrelatestomoralreasoningasmeasuredbytheDIT(Rest,1979).
EducationRest(1986)reportedthatdespitethestrongcorrelationbetweenmoraljudgmentandage,years of formal education had the strongestinfluence on moral judgment developmentovertime.However,itisunclearwhatpiecesof a formal educationexperience, e.g., chal-lenging one’s views, role-taking, out-of-classroomexperiencesthatpromotereflection,andthelike,mostinfluenceaperson’smoraljudgment. Rest(1979)reportedthatageandeduca-tionaccountedfor38–49%ofthevarianceinmoral judgment scores. Rest andThoma(1985)usedtheDITwith39subjectsinhighschoolandthenevery2yearsaftergraduationovera6-yearperiod.Twogroupswerecreated:a“low”groupofstudentswithnomorethan2yearsofformaleducationbeyondhighschoolanda“high”groupwith3yearsormoreofformaleducation.SeveralscoresaregeneratedfromtheDIT.Themost-usedscore is thePindex, a measure of the degree to which aparticipantattributesimportancetoprincipledor post-conventional moral thinking; the
higherthePscore,thehighertheutilizationofpost-conventionalthinking.Athighschoolgraduation,differencesinPscoresrepresentingpost-conventionalmoralthinkingbetweenthetwogroupswereminimal(low=Pscoreof33,high=Pscoreof37).Sixyearslater,thelow-educationgroupPscorewas34.5,andthehigh-ereducationgrouprosetoaPscoreof51.
Academic PerformancePascarellaandTerenzini(1991)assertedthatgrades are the single best indicator ofadjustment to college. Although grades arelimitedasreliableindicatorsofwhatislearnedin college, they do represent skills refinedduringcollege.GPAsofstudentswhotaketheDIThavebeenpositivelycorrelatedwithmoraljudgment (r=.20 to .50; Rest & Narvaez,1998). Studentsinvolvedindisciplineincidentsoften have lower academic performance.Janosik,Dunn,andSpencer(1985)foundthatmale offenders had lower GPAs than non-offenders.Their6-yearstudyfoundthatmenwho were repeat offenders of a universityconductcodeviolationhadanaverageGPAof 2.25, significantly lower than the 6-yearnormof2.6.
Greek AffiliationCohen(1982)foundthatGreekstudentsdidnot differ significantly on moral judgmentscoresbasedongender,levelofmembership,or year in school from their non-Greekcounterparts.Sanders(1990)administeredtheDITto195malefreshmenatthebeginningoftheacademicyear.Ofthe195,103joinedaGreekorganizationand92remainednon-affiliated.AsecondDITwasgiventothesamestudents9weekslater.Non-affiliatedmenhadhigherprincipledmoraljudgment(Pscores)thandidtheGreekaffiliates. MarloweandAuvenshine(1982)admini-stered the DIT to Greek and non-Greek
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studentsatamid-sizedinstitutionandretestedthemattheendoftheirsophomoreyear.NodifferenceswerefoundbetweenstudentswhobecameGreekaffiliatedandnon-Greeksinthefirst administration. As sophomores, inde-pendentwomenshowed thehighest levelofmoral reasoning (P score=43.4). Greekwomen were next highest (P score=40.6),then independentmen (P score=40.2) andGreekmen(Pscore=38.7).
AlcoholAlcoholuseoncollegecampuseshasbeenariteofpassageforstudentsforyears(Jones&Kern, 1999). Recent studies on alcoholconsumptioncitetheconsequencesofdrinkingbehaviors on academic performance, e.g.,missingclass,performingpoorlyonatestorproject, and even memory loss, which cannegativelyaffectone’sacademicperformance(Presley,Meilman,&Cashin,1996;Presley,Meilman,&Padget,1994;Wechsler,Kuh,&Davenport,1996;Wechsler,Lee,Kuo,&Lee,2000). Nationally, students under the legaldrinkingageof21consumeanaverageof4.9drinksperweek,slightlymorethanstudentsover 21 who drink 4.1 alcoholic beveragesweekly(Presleyetal.,1996).In1992–1994,atotalof45,632studentsacross89institutionsweresurveyedontheprevalenceandfrequencyof their alcohol and drug use.The surveyfound underage students who used alcoholwere almost twice as likely to be in troublewithauthorities,15.4%ofstudentsunder21compared to 8.2% of students of legal age(Presleyetal.,1996).
Student development and Judicial OffendersFew studies have focused on outcomes ofstudent judicial sanctions. Chassey (1999)comparedlevelsofmoraljudgmentforrepeatbehavioral offenders with non-offenders in
residence halls using the DIT (Rest, 1979).TheDITwasadministeredto16femalesand13malesandyieldedastatisticallysignificantdifferencebetweenstudentoffendersandnon-offenders(p<.025)inscores.TheaveragePscorefornon-offenders,indicatingprincipledmoral reasoning, was 46.50, whereas repeatoffendersaveraged33.07,indicatingthattherepeatoffenderswereoperatingatalowerlevelofmoralreasoning.Chasseynotedthateffortstoeducatesomerepeatoffendersmaybefutile.AP scoreof33on theDITcorresponds toKohlberg’s(1970)Pre-Conventionalstageinwhichstudentsegocentricallyperceivemoralityasactionsthatbenefitonlythemselves.Becausesuch a student is operating at an egocentriccognitive level, “the only thing a student-offendermaybe learning in this situation isnottogetcaughtagain”(Chassey,p.10). Smith (1978, cited in Chassey, 1999)administeredtheDITalongwitha“disciplineinterviewquestionnaire”to55collegestudentswhoadmittedtoviolatingthecodeofconduct.Students with lower moral judgment scoreswere concerned primarily with the negativeconsequencestheymightexperienceasaresultof their violations. Students with higher Pscoreswereable to reflectonwhatcouldbelearned from the incident. “The disciplineexperience is perceived quite differently bythoseatdifferentdevelopmentallevelsofmoralthinking—an important distinction [for]handlingcampusdiscipline”(Smith,1978,p.292).
RESEARCh METhOdS
The studywas conductedat a large,public,research institution in the Southeast with astudentpopulationof34,000atthetimeofthestudy.Themajorityofthestudentsliveincloseproximitytocampusbutnotinresidencehalls;however,theuniversityexercisesjudicialactionforconductcodeviolationsbothonand
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off campus. Non-residence hall cases ofmisconduct are referred to the Office ofStudent Rights and Responsibilities (SRR).ResidencehallstudentsareinitiallyreferredtoaresidencehalljudicialprocessbutmayalsobesenttotheOfficeofSRRforviolationsinacademicbuildingsorinoff-campussettings. Twogroupsofstudentswerestudied.Onegroupcomprisedstudentswhowerefoundtobe responsible for violating the universityconductcodebytheOfficeofSRRduringa12-weekperiodduringthefallsemester,2002.Acomparisongroupofstudentswhohadnotviolated the conduct code was randomlyselectedfromalistofresidencehallstudents.
ParticipantsStudentsallegedtohaveviolatedtheconductcodearereferredtotheOfficeofSRRthroughpolice/faculty/staff/student conduct reports.OfficeofSRRstaffreviewthedocumentationtodetermineifanyviolationsoftheconductcodeoccurred.Ifastudent’sbehaviorappearsto be in violation, a letter outlining thecharge(s)issenttothestudent,requiringthestudenttomakeanappointmentforahearingwiththeOfficeofSRR.Ifthestudentisfound“responsible for a violation,” sanctions areassignedandmustbecompletedinaprescribedperiod of time, e.g., violators of alcoholpolicies are referred to an alcohol educationseminar. Twelve charge categories areoutlined inthe university conduct code.They include:sexual misconduct, endangerment of self orothers,harassment,hazing,weapons,fireandsafety, illegal drugs, alcohol, disruption,identification,property,andcomputerviola-tions. BasedontheannualreportscompiledbytheOfficeofSRRforthepast2years,thefive most frequently violated categories arealcohol,endangermentofothers,illegaldrugs,property damage, and disruption (Brown,2001,2002).
Studentsmaybechargedwithoneviola-tion or a combination of violations. Forexample, a 20-year-old student, arrested fordrivingundertheinfluenceofalcoholandinpossession of drug paraphernalia may bechargedwithalcoholuse,endangerment,anddrugviolations.Theleadordominantviola-tion,asdeterminedbytheOfficeofSRR,wastheviolationtyperecordedinthestudy.Inthiscase,endangermentofselfandotherswouldlikelybethedominantviolation.
InstrumentationTheDIT,publishedbyJamesRest in1974,wasthefirstpaperandpencilassessmenttooldesignedtomeasuremoraljudgmentstagesasdefinedbyLawrenceKohlberg(1970).Priorto 1974, Kohlberg’s Moral Judgment Inter-view,orMJI,wastheprimaryassessmenttoolformoral judgment.NormativedatafortheDIT has been generated from 45,856 DITsscoredduringa4-yearperiod.Referredtoasthe“mega-sample,”itwascompiledbyEvensin 1995.The mean P score for the mega-samplewas39.1withastandarddeviationof14.84.This benchmark score indicated thatpost-conventional thinking was abundantacross the sample (Rest, Narvaez, Bebeau,etal.,1999). JamesRest’s(1970)initialintroductiontomoralreasoningtheorywasbasedonKohlberg’swork. But Rest wanted to develop a betterinstrumentformeasuringmoraldevelopmentthantheextensiveinterviewprocessusedbyKohlberg.After25yearsofmoralityresearchusingtheDIT,Rest,Narvaez,Thoma,etal.(1999)proposedanewapproachtoassessingmoraldevelopment.Their approachbecamethebasisforthereformulationofthe DITintoanewversion,theDIT2. Distinctions between Kohlberg’s (1970)theoryandtheneo-KohlbergianschemausedbyRest,Narvaez,Thoma,etal.(1999)centeraroundRest’sargumentthatmoraldevelopment
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occursinaseamlessprogressiontowardshigherthinking.(Restusesthetermschematoavoidconfusion with Kohlberg’s stages.) In short,onemayhavetheabilitytofunctionathighlevels of moral thinking, but people oftenchoosetofunctionatalowerlevel. Theschemaisdividedunderthreehead-ings: personal interest, maintaining norms,andpost-conventional(Rest,Narvaez,Thoma,etal.,1999).TheseheadingsresembleKohlberg’s(1970) three groupings of stages. However,Restarguedthattheinterpretationofover400studiesofmoraljudgmentresearchcallsforaslightlydifferentinterpretationthanKohlberg.Personalinterest(Kohlberg’sstages2-3)refersto decisions based on outcomes directlyaffecting the person or those loved by theperson.Maintainingnorms(Kohlbergp:’sstage4) refers to the need for decisions to createsocialorderandtherebyjustifycodesandlaws.Post-conventional (Kohlberg’s stage 5-6)decisionsarejustifiedbytheirbenefittosocialvaluesandideals.TheseheadingsarethemaincategoriesforscoringontheDIT2. Like theDIT, theDIT2consistsoffivedilemmas.Participantsareaskedtoranktheimportance of 12 issue statements for eachdilemma.The five dilemmas in the DIT2consistof:“(a)afathercontemplatesstealingfoodforhisstarvingfamilyfromthewarehouseofarichmanhoardingfood;(b)anewspaperreporter must decide whether to report adamaging story about a political candidate;(c)aschoolboardchairmustdecidewhetherto hold a contentious and dangerous openmeeting;(d)adoctormustdecidewhethertogiveanoverdoseofpain-killertoasufferingandfrailpatient;(e)collegestudentsdemon-strateagainstU.S.foreignpolicy”(Centerforthe Study of Ethical Development, 2004,¶2). AllcompletedinstrumentsarescoredbytheCenterfortheStudyofEthicalDevelop-mentattheUniversityofMinnesota.Scoring
of the DIT2 classifies responses into threeneo-Kohlbergian schemas: Personal Interest(Stages2+3),MaintainingNorms (Stage4),andPost-ConventionalSchema(Stage5+6).TheschemasarecloselyrelatedtoKohlberg’sstagesbutareslightlydifferentsoastomeasurehowpeopleassignrightsandresponsibilitiesthroughmoraljudgment. N2 Index. The primary score obtainedfrom the DIT2 to assess moral judgment isthe N2 index (Rest,Thoma, Narvaez, &Bebeau,1997).TheN2indexisanewindexderivedfromthere-formulationoftheDIT2and indicates thedegree towhichaperson’smoral judgment reaches principled or post-conventionalthinking.N2scoresdifferfromPscoresinthattheyutilizebothrankingdataandweightedratingdatatoproducetheindex.Five reliability checks, RtXRk (rank con-sistency),M(missingitems),MISRT(missingrates), MISRK (missing ranks), and NoDif(non-differentiationofrankorrate),indicatewhether a participant has provided reliableresponses.Ifaparticipantdoesnotpassallfivereliability checks, the subject’s responses arepurgedfromthedata. Validity and Reliability. Rest, Narvaez,Thoma, et al. (1999) discussed validity andreliabilityoftheDITandDIT2extensively.In a mega-sample comprising 45,856 DITsscoredfrom1989through1993,validityandreliability are consistent across age, culturalbackground,andregion.Inaddition,theDITsignificantlypredictedreal-lifemoralbehavior,acriticalmeasureforthisstudy(Rest,Narvaez,Thoma,etal.,1999). CronbachalphasfortheDIT are in the upper .70s to low .80s andtest/re-test reliability is commensurate (Rest& Narvaez, 1998). The DIT2 correlatespositively with the original DIT (r=.79).Withthenewscoringindexes(N2)andsubjectreliabilitychecks,theDIT2demonstratesthesamevalidityastheoriginalDIT.
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data Collection
DatawerecollectedinFall2002fromrecordsof students found to be responsible for aviolation by the Office of SRR using thefollowing procedure. Each student chargedwithanallegedviolationwasgivenaconsentletterwhen theyarrived for theirhearing intheOfficeofSRR.Theletteroutlinedthegoaloftheresearchproject,indicatingapprovalandsupport fromtheDeanofStudents and theInstitutional Research Board and asked thestudenttoparticipate.Atthesametime,datawere also collected for the independentvariables,typeofcharge(s),age,classification,gender,GPA,andGreekaffiliation,allderivedwithpermissionfromuniversityrecords. Each individual student record wasassignedauniquecodenumber.Thisnumberwas written on the DIT2 scoring sheet tomatch the DIT2 scores with the studentrecord.Oncethecodenumberwasassigned,the participant’s name was no longer used.Other identifying informationwasshreddedattheconclusionofthestudy. Students willing to participate signed aconsentformandweregiveninstructionsoncompletingtheDIT2.StudentswereinformedbyOfficeofSRRstaffthatparticipationinthestudywasaseparateactivityfromthejudicialhearingprocessandwouldnotinfluencetheout-comeoftheirhearing.Studentswhochosenottoparticipateweredroppedfromthestudy. CompletedDIT2surveysweredepositedalongwiththesignedconsentforminasecurecollection bin. Files for any students whodeclined to participate were removed. Noindication of participation (or non-partici-pation)waskeptinthestudent’sOfficeofSRRfile.Attheconclusionofthedatacollection,student records forany students later foundtobenotresponsibleforaviolationwerealsoremovedfromthestudy.
Comparison Group
For this study, a comparison group of non-violatorstudentswasrandomlyselectedfromthe 7,000 students living in the campusresidencehallsystem.Severalassumptionsweremadeaboutcomparisongroupmembers,e.g.,differencesbetweenstudentswholiveintheresidencehallsandthosewholiveoffcampusare minimal. Research does indicate thatstudentswholiveinresidencehallsmayhavemoreopportunitiestointeractinintellectual,social, and academic activities that fosterprincipled moral judgment directly, such assocializing with older peers and frequentconversations with faculty (Pascarella &Terenzini,1991). Studentslivingintheresidencehallsystemrepresented20.8%ofthestudentpopulationatthetimeofthestudy.Astratifiedrandomsamplingmethodwasusedtocreatesubgroupscomparable to thesampleof studentsunderjudicial review collected previously in theOfficeofSRR.Theresidencehallsamplewasbasedonclasslevel,e.g.,freshman,sophomore,junior, or senior, because years of formaleducationisthestrongestpredictorforDIT2scores(Rest,Narvaez,Thoma,etal.,1999b).Carewas taken to insure that the sampleofresidencehallstudentswasascloseaspossibletothesampleof studentsgatheredfromtheOfficeofSRRjudicialhearings.Forexample,if40freshmenwereincludedintheOfficeofSRRsample,thesamplefromresidencehallsshouldhaveincluded40freshmenaswell. Studentswererandomlyselectedusingarandom numbers table and placed into theappropriate subgroup. Random selectioncontinueduntilallsubgroupswerefilledwiththe desired number of participants. Therecords of all residence hall participantsselected were checked to see if they wereinvolvedinthejudicialprocessattheuniver-sity.Thosefoundtobeunderjudicialreview
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were eliminated from the sample and areplacementwasrandomlyselected.Informa-tionforeachselectedparticipantsuchasage,class rank, and GPA was obtained fromuniversityrecords.AuniquecodewasassignedtoeachparticipanttomatchthedatafromtheDIT2withtheindependentvariabledata.
data AnalysisScoring of the DIT2 was completed by theCenterfortheStudyofEthicalDevelopmentat the University of Minnesota. Raw scoreswerereturnedondiscandinpaperformat.N2scores were matched with the independentvariabledatatocompleteadatasetforeachparticipant.Descriptivestatisticsandmeasuresofcentraltendency(e.g.,mean,median,mode,frequencies)werecomputedforbothgroups.Analysisofvariancewasutilizedtocomparethe mean scores of groups. The level ofsignificancechosenwas.05
descriptive dataOfthe181charged(SRR)studentswhowereaskedtoparticipate,141agreedtocompletetheDIT2,areturnrateof77.9%.Atotalof18participantswereremovedfromthestudyas5were later foundnot responsible foranallegedcodeviolation,10werepurgedduringtheDIT2scoringprocessastheydidnotmeetreliability criteria, and 3 cases were missingleaving a total of 123 cases in the SRRgroup. TheSRRgroupwasmadeupof28.5%were freshmen, 35.8% sophomores, 25.2%juniors,and10.6%seniors(Table1).Approxi-mately81%wereundertheageof21.Ofthosewho violated the conduct code, 75% weremale,35%werefemale.Twenty-sixpercentofthegroupwereaffiliatedwithaGreekfraternityor sorority. GPAs under 3.00 were reportedfor58.5%;thosewithGPAsof3.00orhigheraccountedfor41.5%. Seven typesof violationsof auniversity
conductcodewererepresentedinthesample.Alcohol violations dominated with 90 casesoutofthe123.Theothertypesofviolationswere illegal drugs (11), endangerment (7),property(7),harassment(3),disruption(3),andidentification(2). Thecomparisongroupofstudentsfromtheresidencehallsinitiallyconsistedofatotalof176students.Ofthese,18eitherfailedtorespondorwerenolongerlivinginthehalls.Ninestudentswereunderjudicialreviewandweredeletedfromthesample.Oftheremain-ing 149 students, 120 completed the DIT2forareturnrateof80.5%.Sevencompletedsurveys were later purged due to reliabilityconcerns leavingafinal totalof113useableresponses. AfactorialANOVAwasusedtoexaminethevarianceinthedependentvariable,moraljudgmentscores,bycontrollingfortheeffectsofindependentvariables.A2(age)×4(classlevel) × 2 (gender) × 2 (GPA) × 2 (Greekaffiliation) × 2 (control/comparison group)factorialANOVAwasconducted.Theadvan-tagetousingafactorialANOVAwasthatitexamined the effect of one independentvariable on the dependent variable (a maineffect) and also examined the effects ofmultiple independent variables together(interactioneffects;Urdan,2001). A two-tailed independent samples t testwasusedtoassessanystatistical significance
TAble 1.
Class levels by Group
SRR Residence Hall
Class Level n % n %
freshman 35 28.5 29 25.7
Sophomore 44 35.8 46 40.7
Junior 31 25.2 27 23.9
Senior 13 10.6 11 9.7
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betweenthemeanmoraljudgment(N2scores)fortheSRRandresidencehallgroups.Ran-dom assignment to groups was not possiblefor the SRR group because participantsconsistedof thosewhoviolatedtheconductcode,soaparametrictestwasusedtoanalyzethedata.Becausetheassumptionofrandomselectioncouldnotbeusedforbothgroups,thechancesofperformingaTypeIorTypeIIerrorincreased.
RESulTSClassyearsforthebothgroupsareshowninTable1. Just over 91%of all SRRviolatorswereundertheageof21.Femalesrepresented68.1%ofthegroup;malesmadeup31.9%ofthegroup.Justunder9%oftheSRRgroupweremembersofaGreekfraternityorsorority.GPAsforthecomparisongroupshowedthat29.2%under3.00,and70.8%over3.00. Thecomparisongroupof residencehall(non-offender) students had a higher DIT2N2meanscoreof31.58.TheSRRgrouphad
alowermeanof26.13(Table2).Bothgroupshadlargestandarddeviationsindicatingawiderangeofscores.ThelowstandarderrorfromthemeansforeachgroupindicatedthatsomeerrormayhaveoccurredwhenestimatingthesamplemeanbutLevene’stestforequalityofvarianceswasnotviolated.BecausetheFratiowasnotsignificant, theassumptionofequalvarianceswasused.Thetforequalvariancesis significant (p<.001) at –3.423, which isgreaterinsizethanthea=0.01levelminimumof2.576(seeTable3)andexceedsthealphalevel (a=.05). Calculated effect size was0.442.Table 3 presents the independentsamplesttestresults. Moral judgment stage scoremeanswereexploredbecauseofthestatisticallysignificantfindings for the principled judgment N2means.Themeans foreachgroup (Table4)onPersonalInterestscores(KolhbergStages2and3)werecomparedusinganindependentsamplesttestwithanalphalevelsetat0.05.Although the means indicate that thosestudentswhoviolatedtheconductcodereasonat a higher rate from the Personal Interestperspective,thedifferencebetweenthegroupmeans was not statistically significant ata=0.05(Table5).AnindependentsamplesttestwasusedtocomparethemeansbetweengroupsfortheMaintainingNormsscores.Themeans indicate that both groups reasonedsimilarlyinthisrangeanddifferedbyonlyonepoint (Table 6). Group means were not
TAblE 2.
n2 Score Group Means
N2 Score
Group n Mean SD
SRR 123 26.1295 12.30987
Residence Hall 113 31.5763 12.10633
TAblE 3.
Independent Samples t Test between Groups for n2 Score (D = .442)
Levene’s Test for Equality of Variances t Test for Equality of Means
p M SE Equal Variances F p t df (2 tailed) Difference Difference
Assumed .020 .887 –3.423 234.000 .001 –5.4468 1.59141
Not Assumed –3.425 232.907 .001 –5.4468 1.59028
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TAblE 4.
Group Means—Personal Interest (Stage 2/3)
Group n Mean SD
SRR 123 30.9065 11.88941
Residence Hall 113 27.9889 11.79032
statisticallysignificant(seeTable7). Aretheredifferences inmoral judgmentamongstudentswhocommitdifferenttypesof conduct code violations?The number ofcasesforeachviolationtypevariedfromsmallto large (Table 8). In all but two of theviolationsrepresented,thenumberofcasesineachcellwasfewerthan10.It iscommonlyacceptedthatforanANOVAtobemeaningful,nocellshouldhavefewerthan10cases(Urdan,2001). So the approach to analyzing thisresearch question was re-evaluated and theoriginalquestionbecame:Isthereadifferencein moral judgment scores between studentswhocommitanalcoholviolationandstudentswhocommitallotherviolations? Toanswerthequestion,a ttestbetweengroups was performed.The means betweeneach group differed by one point with themeanN2scoreforalcoholviolatorsbeing26.4andthemeanN2scoreforallotherviolationsotherthanalcoholbeing25.4(Table9).Nostatisticallysignificantdifferenceswerefound(seeTable10).
The third research question was:Whatdifferences in moral judgment, if any, existbetweenstudentswhohaveviolatedauniver-sity conduct code and those who have notbased on age, class level, gender, GPA, andaffiliation with a Greek-letter fraternity orsorority?Table 11 shows the results of afactorialANOVAwith thealpha level setat0.050. The overall corrected model wasstatistically significant at 0.035.This resultindicatesthatoneormoremainorinteractioneffects accounted forpartof thevariance inmoraljudgmentscores. Theonlyeffecttobestatisticallysignificantat the 0.050 level was the interaction effectbetweenageandgroup(0.035).However,theeffectsize(partialetasquared)wasonly0.025.Generalinterpretationsofeffectsizeslessthan0.200aretobeconsideredsmall,thoseinthe0.250and0.750rangemoderate,andthoseat0.80andhigher large (Urdan,2001).Aneffectsizeof0.025fortheinteractionbetweengroupandclassyearaccountsforonly2.5%ofthevariance.Thesmalleffectsizesuggests
TAble 6.
Group Means—Maintaining norms (Stage 4)
Group n Mean SD
SRR 123 34.2846 12.55856
Residence Hall 113 33.2454 12.87148
TAblE 5.
Independent Samples t Test for n2 Score—Personal Interest
Levene’s Test for Equality of Variances t Test for Equality of Means
p M SE Equal Variances F p t df (2 tailed) Difference Difference
Assumed .018 .892 1.891 234 .060 2.9176 1.54309
Not Assumed 1.891 232.627 .060 2.9176 1.54254
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that the variancemaybedue to the samplesize. Although statistically significant, thepracticalsignificancewasnegligible. Threeadditionaleffectswerenotstatisti-callysignificant:amaineffectof“group”andinteraction effects between “age × gender ×GPA”and“class×gender×GPA.”Effectsizesweretoosmalltointerprettheinteractionsaspractically significant. Although the overallmodelwasstatisticallysignificantwithamod-erateeffectsizeof0.335,theinterpretationoftheresultsmustbescrutinizedcarefully.Duetothesmalleffectsizes,theoverallmodelmustbeviewedwithcaution.
SuMMARyStudents who violated the conduct code
reasonedata lowerpost-conventionalmoraljudgment level than students who did notviolate the conduct code based on DIT2scores.Cellsizesforsomecodeviolationsweretoosmallforstatisticalanalysis,soviolationswereregroupedfromsevenviolationsintotwogroups: alcohol and non-alcohol violations.Nosignificantdifferenceswerefoundbetweenthetwogroupsofviolators. AfactorialANOVAwasusedtoexaminethe independentvariablesof age, class level,gender,GPA,andGreekaffiliationformainand interaction effects on moral judgmentscores. Two significant differences wereobserved.Theoverallmodelandaninteractioneffect between group and class year werestatistically significant, a finding consistentwithmoraljudgmentresearchregardingyearsofformaleducation. Students were similar in their moralreasoning abilities on the moral judgmentschemasofPersonalInterestandMaintainingNorms.However, studentswhoviolated theconductcodeweredistinctlydifferentinthe
TAble 8.
frequencies of Violation Type
Valid Cumu- Code Violation n % % lative %
endangerment 7 5.7 5.7 5.7
Harassment 3 2.4 2.4 8.1
Illegal drugs 11 8.9 8.9 17.1
Alcohol 90 73.2 73.2 90.2
Disruption 3 2.4 2.4 92.7
Identification 2 1.6 1.6 94.3
Property 7 5.7 5.7 100.0
Total 123 100.0 100.0
TAblE 9.
Group Means of n2 Score between Alcohol and Non-Alcohol Violations
Violation N Mean SD
Alcohol 90 26.3974 12.24766
Non-Alcohol 33 25.3988 12.63979
TAble 7.
Independent Samples t Test for n2 Score—Maintaining norms
Levene’s Test for Equality of Variances t Test for Equality of Means
p M SE Equal Variances F p t df (2 tailed) Difference Difference
Assumed .067 .796 .627 234 .531 1.0392 1.65610
Not Assumed .627 231.215 .531 1.0392 1.65783
September/OctOber 2007 ◆ vOl 48 nO 5 605
ResearchinBrief
principle-based moral judgment Post-Con-ventionalSchema.Theirlowermeanscoreforpost-conventional moral judgment indicatesthatthesestudentsutilizedprincipledreasoninglessoftenthanotherstudents.
COnCluSIOnS
Studentswhoviolatedtheuniversityconductcodewerereasoningatalowerlevelofmoraljudgmentthanstudentswhodidnotviolatethecode.Variablesofage,classlevel,gender,GPA, and Greek affiliation may have influ-encedthisoutcomebutwerenotstatisticallysignificant for either group of students. Nodistinctioncouldbemadebetween the typeof violation (alcoholvs. allotherviolations)forthestudentoffendergroup.
Threeconclusionsmaybedrawnfromthisresult: (a) the difference in sample size (90alcoholviolationsversus33otherviolations)was sufficient to provide reliable results,(b)therewasnotenoughvariation inDIT2scores to significantly distinguish betweenmoral reasoning abilities of students whocommitted one violation over another, and(c)contextualmoralitymay exert a strongergreater influence than accounted for in thisstudy.
IMPlICATIOnS And RECOMMEndATIOnS
It was the intent of this study to providebaseline information regarding the moraljudgment of student offenders. Armed with
TAble 11.
factorial ANoVA—Tests of between-Subjects effects Dependent Variable: N2 Score
Type III Sum Source of Squares df Mean Square F p
Corrected Model 12291.089 61 201.493 1.439 .035
Group 547.449 1 547.449 3.911 .050
Age × Gender × GPA 401.887 1 401.887 2.871 .092
Class × Gender × GPA 1057.677 3 352.559 2.518 .060
Age × Group 633.661 1 633.661 4.526 .035
Note. R2 = .335 (Adjusted R2 = .102).
TAble 10.
Independent Samples t Test for NZ Scores—Alcohol and Non-Alcohol Violations
Levene’s Test for Equality of Variances t Test for Equality of Means
p M SE Equal Variances F p t df (2 tailed) Difference Difference
Assumed .305 .582 .397 121 .692 .9987 2.51381
Not Assumed .391 55.462 .697 .9987 2.55109
606 Journal of College Student Development
ResearchinBrief
suchinformation,judicialaffairsprofessionalsmightincorporatetheconceptsofdevelopingmoral judgment among the students withwhomtheywork.Rest,Narvaez,Bebeau,etal.(1999) concluded that “the critical charac-teristic of a college for promoting moraljudgmentseemstobeacommitmenttocriticalreflection”(p.73).Itisclearthatstudentsinthisstudywhoviolatedtheconductcodewerenot functioning at the same level of moraljudgmentasthosestudentswhodidnotviolatethe code.Finding activities thatwouldhelpstudentsunderstandtheirresponsibilitiesforlivinginanacademiccommunity,e.g.,criticalreflection,maybebeneficial.
lIMITATIOnS
Replicationofthestudywithalargersampleandfollowingstudentsforalongerperiodoftime would be helpful. Further research onviolationtypeandmoraljudgmentshouldalsoproveinteresting.Itwasanearlyassumptionthat there would be variations based onviolationtypewithmoraljudgment;however,
therewerenotsufficientnumbersofvariousviolations to populate the study enough tomakevalidcomparisons.Alongitudinalstudyover several semesters or even a few yearswouldremedythisproblem.Additionalstudieswouldprovideamuchclearerpictureofmoraljudgment levels and the status of themoraldevelopment of student offenders. As thisstudyprovidedonlywhatmightbe called a“snapshot”ofanon-goingphenomenon,theresults were limited by an examination ofconductcodeoffenderswhoweredrawnfromonlyone term.More comparisonsmightbemadewith a study that extendedovermorecasesforalongertimeandmightalsodiscoversome trendsacross thedifferentvariables. Itwouldbeinterestingtoseeifupperclassmenaredifferentthanfreshmenintermsoftypeofviolationand/orlevelofmoralreasoning,forexample.
Correspondence concerning this article should be
addressed to Robert Schwartz, 113 Stone MC 4452,
FSU, Tallahassee, FL 32306-4452.
September/OctOber 2007 ◆ vOl 48 nO 5 607
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