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AVCI, YÜKSEL, SOYER, BALIKÇIOĞLU / Şr Blgs Konusu İçn Tasarlanmış... • 1307
Psychologcal Needs as a Predctor of
Cyber bullyng: a Prelmnary Report on
College Students
Bülent DİLMAÇ*
Abstract
Recent surveys show that cyber bullyng s a pervasve problem n North Amerca. Many
news stores have reported cyber bullyng ncdents around the world. Reports on the pre-
valence of cyber bullyng and vctmzaton as a result of cyber bullyng ncrease yearly.
Although we know what cyber bullyng s t s mportant that we learn more about the
psychologcal e ects of t. erefore, the am of the current study s to nvestgate the re-
latonshp between psychologcal needs and cyber bullyng. Partcpants of the study nc-
luded 666 undergraduate students (231 males and 435 females) from 15 programs n the
Faculty of Educaton at Selcuk Unversty, Turkey. Questons about demographcs, enga-
gement n and exposure to cyber bullyng, and the Adjectve Check Lst were admns-
tered. 22.5% of the students reported engagng n cyber bullyng at least one tme, and
55.3% of the students reported beng vctms of cyber bullyng at least once n ther l-
fetme. Males reported more cyber bullyng behavor than females. Results ndcate that
aggresson and succorance postvely predct cyber bullyng wheras ntracepton negat-
vely predct t. In addton, endurance and a laton negatvely predct cyber vctmzat-
on. Only the need for change was found as a postve, but weak predctor of cyber vctm-
zaton. In lght of these fndngs, aggresson and ntracepton should be nvestgated furt-
her n future research on cyber bullyng.
Key Words
Cyber bullyng, Cyber vctms, Psychologcal Needs, College Students
* Correspondence: Bülent Dlmaç, Phd. Selcuk Unversty, Faculty of Ahmet Keleşoğlu Educaton, 42090,
Meram-Konya / Turkey.
E-mal: bdlmac73@hotmal.com
Kuram ve Uygulamada Eğitim Bilimleri / Educational Sciences: eory & Practice
9 (3) • Summer 2009 • 1307-1325
© 2009 Eğitim Danışmanlığı ve Araştırmaları İletişim Hizmetleri Tic. Ltd. Şti.
1308 • EDUCATIONAL SCIENCES: THEORY & PRACTICE
Over the past decade, technology has become ncreasngly mpor-
tant n the lves of adolescents. Adolescents are heavy users of electro-
nc communcaton such as nstant messagng, e-mal, and text messa-
gng. ey are also heavy users of communcaton-orented nternet s-
tes such as blogs, socal networkng, and stes for sharng photos and v-
deos (Subrahmanyam, & Greenfeld, 2008). e nternet o ers connec-
tvty to frends and famly and access to mportant nformaton. Ho-
wever, as wth other socal envronments, the potental to meet and n-
teract wth others n harmful ways exsts (Ybarra, Dener-West, & Leaf,
2007). One such nteracton of growng concern s cyber bullyng (Hn-
duja & Patchn, 2008).
Cyber bullyng has recently emerged as a new form of bullyng and ha-
rassment. Cyber bullyng s defned as “an ndvdual or a group wllfully
usng nformaton and communcaton nvolvng electronc technolo-
ges to facltate delberate and repeated harassment or threat to anot-
her ndvdual or group by sendng or postng cruel text and/or graphcs
usng technologcal means” (Belsey, 2008; Berson, Berson, & Ferron,
2002; Fnkelhor, Mtchell, & Wolak, 2008; Mason, 2008; Patchn, &
Hnduja, 2006; Wllard, 2007; Ybarra, & Mtchell, 2004a, 2004b). Re-
cent surveys show that cyber bullyng s a pervasve problem n North
Amerca (Agatston, Kowalsk, & Lmber, 2007; Beran and L, 2005;
Ybarra, & Mtchell, 2007) and many news stores have reported cyber
bullyng ncdents all over the world (Arıcak, Syahhan, Uzunhasanoğ-
lu, Sarıbeyoğlu, Cıplak, Yılmaz & Memmedov, 2008; L, 2007a; Slonje,
& Smth, 2008; Smth et al., 2008).
Reports on the prevalence of cyber bullyng and vctmzaton have been
ncreasng regularly every year. Fnkelhor, Mtchell, and Wolak reported
that sx percent of young people were exposed to cyber bullyng (threats,
rumors, or other o ensve behavor) durng the past year. Sx and a half
percent of young, regular nternet users n Ybarra’s study reported at least
one form of cyber bullyng n the prevous year. In Patchn and Hnduja’s
(2006) study, almost 30% of the adolescent respondents reported that
they had been vctms of cyberbullyng-operatonalzed as havng been
gnored, dsrespected, called names, threatened, pcked on, or made fun
of or havng had rumors spread by others (Patchn, & Hnduja, 2006).
In a study conducted n 2007 wth an onlne panel of youth ages 13 to 17
years old, 43% had experenced cyber bullyng n the past year, defned as
“use of the nternet, cell phones, or other technology to send or post text
DİLMAÇ / Psychologcal Needs as a Predctor of Cyber bullyng: a Prelmnary Report on College... • 1309
or mages ntended to hurt or embarrass another person” (Wolak, Mtc-
hell, & Fnkelhor, 2007). Hnduja and Patchn found that over 32% of
boys and over 36% of grls have been vctms of cyber bullyng (Hnduja,
& Patchn, 2008). Smlarly, Arcak et al also reported that 36.1% of stu-
dents have been exposed to cyber bullyng, such as beng teased, nsulted,
threatened or havng pctures of themselves dsplayed by others.
In a recent study, Smth et al. (2008) reported that most pupls beleve
that between 67-100% of students have experenced cyber bullyng.
Traditional Bullying versus Cyber Bullying
Although there are some smlartes between tradtonal bullyng and
cyber bullyng (Hnduja, & Patchn, 2008; L, 2006, 2007a), there are
mportant characterstcs of cyber bullyng that d er from tradto-
nal bullyng (Kowalsk, & Lmber, 2007; Mason, 2008). For examp-
le, tradtonal bulles are known by others n school or n the workpla-
ce. However, n most cases, cyber bulles are anonymous (Anderson, &
Sturm, 2007; Chbbaro, 2007; Strom, & Strom, 2005). s aspect of
cyber bullyng makes t partcularly hurtful (Beale, & Hall, 2007). In
tradtonal bullyng, chldren who are consdered overweght, physcally
weak, dsabled, or unpopular are often targeted (Olweus, 1999; Wllard,
2007). However, all students are potental vctms of cyber bullyng a-
med at n ctng unwarranted hurt and embarrassment on unsuspectng
vctms (Beale, & Hall, 2007).
Tradtonal bullyng most often occurs n schools or durng the day (Cun-
nngham, 2007; Olweus, 1999). Cyber bullyng can occur at any tme,
whch may heghten chldren’s perceptons of vulnerablty. Cyber bull-
yng messages and mages also can be dstrbuted quckly to a wde aud-
ence. e nteractons that occur n vrtual realty can a ect the everyday
realty that students experence elsewhere (Kowalsk, & Lmber, 2007).
Psychological Characteristics of Bullies and Victims
Accordng to Cunnngham (2007), Hayne et al. (2001), and Pellegrn,
Bartn and Brooks (1999), bulles, vctms, and bully-vctms have df-
ferent psychologcal and socal profles. Adolescent bulles tend to have
hgh emotonalty and low self-control (Pellegrn et al., 1999). Altho-
ugh bulles are both proactvely and reactvely aggressve, bulles appe-
ar to use proactve aggresson to establsh domnance and leadershp n
1310 • EDUCATIONAL SCIENCES: THEORY & PRACTICE
ther peer groups (Juvonen, Graham, & Shuster, 2003; Pellegrn et al.,
1999). Bulles show lttle empathy for ther peers (Bernsten, & Wat-
son, 1997). Accordng to Menesn et al (2003), bulles are often awa-
re of others’ feelngs but are unable or unwllng to allow those feelngs
a ect them.
Vctms of bullyng generally manfest nternalzng psychologcal
problems such as depresson, lonelness, low self-esteem, school phob-
as, and socal anxety (Grene, 2003; Juvonen et al., 2003; Olweus, 1999).
ey often have a negatve atttude towards volence and the use of vo-
lence. If they are boys, they are lkely to be physcally weaker than ther
same-age male peers (Olweus, 1999). Pskn (2002) suggests that bulles
often come from homes where physcal punshment s used, and whe-
re parental nvolvement and warmth are often lackng. In contrast, vc-
tms tend to be close to ther parents and may have overprotectve pa-
rents (Pskn, 2002).
Tradtonal bullyng and cyber bullyng smlarly a ect the vctms (Ma-
son, 2008). Bullyng s correlated wth sgnfcant health and psycholo-
gcal ssues among young people such as depresson, emotonal dstress,
low self-esteem, and poor academc achevement (Mason, 2008; Ybar-
ra, 2004; Ybarra et al., 2007).
Research on cyber bullyng s stll n ts nfancy. Whereas we know the
e ects of bullyng on vctms, and L Q. Gender and CMC (2005; L Q
2006; 2007b), Ybarra and Mtchell (2004a, 2004b), Patchn and Hn-
duja (2006) and other researchers have examned the prevalence, e ects,
related factors and types of occurrence of cyber bullyng and vctmza-
ton n detal, there s less understandng of what factors motvate young
people to cyber bully and whether we can predct cyber bullyng behav-
ors from specfc psychologcal needs. ese questons wll be addressed
n the current study. Specfcally, the am of the current study s to exp-
lore the relatonshp between psychologcal needs and cyber bullyng.
Method
Participants
Partcpants ncluded mddle (97.6%) and hgh (2.4%) socoeconomc
status college students. In the begnnng of the study, 693 (239 ma-
les and 454 females) subjects were selected and responded to the sur-
veys. However, pror to conductng analyses, 17 subjects were dentf-
DİLMAÇ / Psychologcal Needs as a Predctor of Cyber bullyng: a Prelmnary Report on College... • 1311
ed as outlers. All outlers were deleted, leavng 666 cases for the analy-
ses. erefore, partcpants of the study were 666 undergraduate colle-
ge students (231 males and 435 females) from 15 d erent programs n
the Faculty of Educaton at Selcuk Unversty, Turkey. Students’ ages
ranged from 18 to 22 years (M = 19.29, SD = 1.14). One hundred and
eghty-one students were freshmen, 254 were sophomores, 120 were ju-
nors and 111 were senors. Data were collected usng the nternet users;
therefore, convenence samplng was used n ths study.
Procedure
e study was started n September, 2007. After preparng the surveys,
they were admnstered to groups n classrooms durng the Fall of 2007.
e author of the current study admnstered the surveys. Before comp-
letng the surveys, partcpants were nformed about the study and sg-
ned a consent form to partcpate. e survey requred approxmately 20
mnutes to complete. All data were coded and entered SPSS by student
research assstants at the Faculty of Educaton.
Instruments
e survey conssted of three sectons. e frst secton conssted of fve
demographc questons regardng sex, age, department, class year, and
socoeconomc level. e second secton conssted of questons specf-
cally about cyber bullyng. Fnally, the thrd secton was the Adjectve
Check Lst (ACL) (Gough, & Helbrun, 1983).
Cyber Bullying Questions
After the demographc questons, students were provded wth an ope-
ratonal defnton of cyber bullyng. Belsey’s (2008) defnton wth a
set of examples was used to help students understand what s meant by
cyber bullyng. Followng the defnton, the followng questons were
asked to students:
Based on the defnton of cyber bullyng provded above (1) “Have you
ever engaged n cyber bullyng before today?” (1-Never, 2-One tme,
3-Between two-four tmes, 4-Fve or more tmes). (2) “Have you ever
been exposed to cyber bullyng?” (1-Never, 2-One tme, 3-Between
two-four tmes, 4-Fve or more tmes). (3) “Would you engage n cyber
1312 • EDUCATIONAL SCIENCES: THEORY & PRACTICE
bullyng as a bully n the future?” (1-Yes, 2-I am not sure, 3-No).
Two expert revewers wth PhDs examned the tems for ambguty and
the overall qualty of the nstrument. e nstruments were admnste-
red n Turksh.
The Adjective Check List (ACL)
e ACL was orgnally developed n 1949 by Gough and was publs-
hed n 1965 (Gough, & Helbrun, 1983). Gough and Helbrun deve-
loped the ACL to assst n dentfyng personal trats of an ndvdual
by analyzng ther socal needs. By analyzng the ndvdual’s socal ne-
eds, the ndvdual’s motvatons and modus operand also become ap-
parent (Reljc, 2007).
e ACL conssts of 300 adjectves arranged n alphabetcal order. Res-
pondents are asked to endorse adjectves they beleve are descrptve of
ther personalty. e 300 adjectves are dvded nto 37 scales: 4 Mo-
dus Operand scales, 15 Need scales, 9 Topcal scales, 5 Transactonal
Analyss scales, and 4 Orgence-Intellgence scales (Gough, & Helb-
run, 1983; Reljc, 2007). e ACL s a pencl and paper test that was
completed n approxmately 15-20 mnutes.
e normatve sample used to develop the ACL ncluded 5236 male
and 4144 female adults, hgh school students, college students, medcal
students, graduate students, psychatrc patents, and delnquents from
37 states n the Unted States (Reljc, 2007). e ACL was translated
and adapted to Turksh by Savran (Savran, 1993). Savran performed re-
lablty and valdty analyses of the ACL on Turksh unversty students
(n=300). e nternal consstency relablty coe cents were between
.36 and .84 for the 37 subscales (Savran, 1993).
e Edwards Personal Preference Schedule (EPPS; Edwards, Abbott,
& Klockars, 1972; Kuzgun, 1985) was used as a crteron measure to
measure the valdty of the analyses. e mean of correlaton coe c-
ents was .48 (p<.05). Subscales of the ACL were found correlated wth
each other (between .20 and .80) (Savran, 1993). Savran also conduc-
ted norm study of the ACL on Turksh people from d erent age, edu-
caton and socoeconomc level (n=700). Results showed that the ACL
was a vald and relable nstrument for Turksh populaton. e ACL g-
ves standard scores for Turksh people (Savran, 1993).
DİLMAÇ / Psychologcal Needs as a Predctor of Cyber bullyng: a Prelmnary Report on College... • 1313
The Need Scales of the ACL
Ffteen need scales were used n the current study (Gough, & Helbrun,
1983, 2008). ese nclude:
Achevement: Strvng to be outstandng n pursuts of socally recog-
nzed sgnfcance.
Domnance: Seekng and sustanng leadershp roles n groups or beng
n uental and controllng n ndvdual relatonshps.
Endurance: Persstng n any task undertaken.
Order: Placng specal emphass on neatness, organzaton, and plan-
nng n one’s actvtes.
Intracepton: Engagng n attempts to understand one’s own behavor
or the behavor of others.
Nurturance: Engagng n behavors whch extend materal or emoto-
nal benefts to others.
A laton: Seekng and sustanng numerous personal frendshps.
Heterosexualty: Seekng the company of and dervng emotonal sats-
facton from nteractons wth opposte sex-peers.
Exhbton: Behavng n such a way as to elct the mmedate attent-
on of others.
Autonomy: Actng ndependently of others or of socal values and ex-
pectatons.
Aggresson: Engagng n behavors whch attack or hurt others.
Change: Seekng novelty of experence and avodng routne.
Succorance: Solctng sympathy, a ecton, and emotonal support from
others.
Abasement: Expressng feelngs of nferorty through self-crtcsm,
gult, or socal mpotence.
Deference: Seekng and sustanng subordnate roles n relatonshps
wth others.
Data Analysis
Descrptve and nferental statstcs were used to examne the relat-
ons and nteracton between cyber bullyng and the psychologcal needs
subscales of the ACL. e statstcal package, SPSS 15 for Wndows
(SPSS for Wndows, 2006) was used to analyze the data.
1314 • EDUCATIONAL SCIENCES: THEORY & PRACTICE
Results
Descriptive Statistics
In the overall sample (N=666), 22.5% of the students (n=150) repor-
ted engagng n cyber bullyng at least once, and 55.3% of the students
(n=368) reported beng vctms of cyber bullyng at least once n ther
lfetme. Of the 22.5% of respondents who reported engagng n cyber
bullyng at least once, 3% (n=20) were dentfed by the author as a
“pure-bully”; that s, someone who s a perpetrator of cyber bullyng but
has never been bulled. e other 19.5% of the 22.5% (n=130) were la-
beled as “bully-vctms” and were both perpetrators and vctms of cyber
bullyng. In the sample, 35.7% of the students (n=238) were labeled as
“pure-vctms” who never perpetrated cyber bullyng, but were themsel-
ves bulled. Another 41.7% of students (n=278) reported that they had
never engaged n or been exposed to cyber bullyng (.e., “non-bully-
vctms” or “bystanders”).
When partcpants were asked f they would engage n cyber bullyng n
future, 3.5% answered “yes,” 15.3% answered “I am not sure,” and 81.2%
answered “no.” Males (M rank=359.05) reported more cyber bullyng
behavor than females (M rank=319.93), (Mann-Whtney U=44339.50,
Z=-3.42, p=.001). As seen n Table 1, whle the rate of vctms and
bully-vctms s hgher among females than males, the rate of bullyng
s hgher among males than females (χ² (3) =16.64, p=.001).
e mean order scores was 52.61 at the hghest pont, and the mean
Domnance scores was 43.14 representng the lowest mean score. Tab-
le 2 lsts the means and standard devatons of the psychologcal needs
reported by males and females. Sgnfcant correlatons emerged among
some of the Need scales of the ACL. Correlaton coe cents ranged
from .00 to .52 (see Table 3).
Table 1.
Frequences and Percentages of Non-Bully-Vctms, Pure Bulles, Pure Vctms and
Bully-Vctms accordng to Sex
Groups Male Female Total
N% n % N %
Non-Bully-Victim 92 13.8 186 27.9 278 41.7
Pure-Bully 13 2.0 7 1.0 20 3.0
Pure-Victim 69 10.3 169 25.4 238 35.7
Bully-Victim 57 8.5 73 11.0 130 19.5
Total 231 34.6 435 65.3 666 100
DİLMAÇ / Psychologcal Needs as a Predctor of Cyber bullyng: a Prelmnary Report on College... • 1315
As seen n Table 1, whle the rate of vctms and bully-vctms s hgher
among females than males, the rate of bullyng s hgher among males
than females (χ² (3) =16.64, p=.001).
Table 2.
Mean and Standard Devatons for the Need Scales of the ACL
e Need Scales of
the ACL Male (n = 231) Female (n = 435) General(N = 666)
M(SD) M(SD) M(SD)
Achievement 43.91(9.98) 44.99(9.10) 44.61(9.42)
Dominance 42.17(11.82) 43.66(11.10) 43.14(11.37)
Endurance 45.75(11.73) 46.63(10.52) 46.33(10.96)
Order 52.90(12.87) 52.45(12.26) 52.61(12.47)
Intraception 47.70(10.94) 48.15(11.39) 47.99(11.23)
Nurturance 49.89(10.88) 49.10(11.73) 49.37(11.44)
A liation 42.39(18.19) 45.61(18.20) 44.49(18.25)
Heterosexuality 49.74(11.46) 50.00(12.48) 49.91(12.13)
Exhibition 45.98(9.67) 45.61(9.09) 45.74(9.29)
Autonomy 50.05(9.24) 49.67(9.35) 49.80(9.30)
Aggression 49.67(10.04) 49.03(10.22) 49.25(10.16)
Change 48.80(10.17) 47.27(9.72) 47.80(9.90)
Succorance 50.50(11.01) 49.98(10.68) 50.16(10.79)
Abasement 52.27(11.05) 51.29(10.79) 51.63(10.88)
Deference 49.96(9.72) 49.90(9.76) 49.92(9.74)
Table 2 lsts the means and standard devatons of the psychologcal ne-
eds reported by males and females.
1316 • EDUCATIONAL SCIENCES: THEORY & PRACTICE
1: Achevement; 2: Domnance; 3: Endurance; 4: Order; 5: Intracept-
on; 6: Nurturance; 7: A laton;
8: Heterosexualty; 9: Exhbton; 10: Autonomy; 11: Aggresson; 12:
Change; 13: Succorance; 14: Abasement; 15: Deference
Inferential Statistics
e data were examned for normalty usng normal Q-Q plots, hs-
Table 3.
Correlatons among the Need Scales of the ACL
123 4 5 6 7 8 9 101112131415
1 1.00 .34** .45** .43** .28** .21** .35** .23** .18** .17** .10** .04 -.29** -.33** -.10**
2 1.00 .35** .03 .13** .04 .001 .08* .33** .19** .17** .09* -.34** -.37** -.23**
3 1.00 .52** .33** .27** .15** .06 .05 -.09* -.12** -.27** -.28** -.16** .12**
4 1.00 .35** .30** .27** .19** -.01 -.06 -.10* -.22** -.23** -.18** .19**
5 1.00 .52** .37** .24** -.03 -.12** -.30** -.06 -.20** .00 .22**
6 1.00 .41** .38** -.04 -.21** -.40** .003 -.05 .04 .31**
7 1.00 .23** .05 -.01 -.20** .20** -.10** .01 .16**
8 1.00 .15** -.002 -.03 .16** -.06 -.11** .06
9 1.00 .28** .34** .20** -.18** -.36** -.26**
10 1.00 .36** .24** -.26** -.42** -.48**
11 1.00 .19** -.14** -.35** -.42**
12 1.00 .02 -.09* -.24**
13 1.00 .51** .22**
14 1.00 .40**
15 1.00
DİLMAÇ / Psychologcal Needs as a Predctor of Cyber bullyng: a Prelmnary Report on College... • 1317
togram graphcs wth normal dstrbuton, skewness and kurtoss. e-
se parameters ndcate normal dstrbutons of all varables of nterest.
As aforementoned, 17 sgnfcant outlers were found usng standard z
values. Cases wth a standardzed scores n excess of 3.29 (p<.001, two-
taled test) were outlers and deleted. Correlatons between the varab-
les (r ≤ .90) showed that there was no multcollnearty (Tabachnck, &
Fdell, 2007).
Psychologcal Need D erences among Bully, Vctm, Bully-Vctm,
and Non-Bully-Vctms
General Lnear Model (GLM) MANOVA show that there are sgnf-
cant d erences between “pure-vctms,” “pure-bulles,” “bully-vctms,”
and “non-bully-vctms” accordng to the self-reported psychologcal
need scores (Λ=.87, F=2.08, Hypothess df=45, η²=.046, p=.000). e-
re was no sgnfcant nteracton between sex and cyber bullyng a la-
ton on psychologcal needs (Λ=.93, F=1.04, Hypothess df=45, η²=.024,
p=.398). A Bonferron multple comparson test was performed to exp-
lore specfc d erences between groups.
GLM MANOVA and Bonferron tests showed that non-bully-vctms
(M=48.22, SD=10.98) reported sgnfcantly more endurance than pure-
vctms (M=45.78, SD=10.18) and bully-vctms (M=43.43, SD=11.64),
(F (3, 658)=6.55, p=.000).
Bully-vctms (M=44.68, SD=11.83; Mn=46.42, SDn=10.33) self-
reported sgnfcantly less ntracepton and nurturance than both pure
vctms (M=49.12, SD=10.62; Mn=49.92, SDn=11.18) and non-
bully-vctms (M=49.02, SD=10.82; Mn=50.66, SDn=11.61), (F (3,
658)=7.10 and 5.81, p=.001, respectvely).
Non-bully-vctms (M=47.03, SD=15.74) showed sgnfcantly more
a laton than bully-vctms (M=39.46, SD=18.32), (F (3, 658)=6.32,
p=.000).
Fnally, bully-vctms (M=52.42, SD=10.56) self-reported sgnfcantly
more aggresson than both pure-vctms (M=47.85, SD=9.68) and non-
bully-vctms (M=48.59, SD=9.86), (F (3, 658)=7.96, p=.000). No sg-
nfcant d erences among groups n terms of other psychologcal ne-
eds were found.
Stepwse Regresson Analyss: Psychologcal Needs as Predctors of Cyber
bullyng
1318 • EDUCATIONAL SCIENCES: THEORY & PRACTICE
To examne the predctve power of psychologcal needs on cyber bull-
yng, a stepwse regresson analyss was performed usng SPSS 15. In the
frst analyss, engagement n cyber bullyng (as perpetrator) was the de-
pendent varable and the 15 need scales were the ndependent varables.
ree models were extracted as the result of analyss. In the frst model,
ntracepton (β=-.18) was the only varable that predcted engagement
n cyber bullyng (R²=.031, F(1, 664)=22.07, p=.000). In the second mo-
del, ntracepton (β=-.14) and aggresson (β=.12) predcted engagement
n cyber bullyng (R²=.042, F(2, 663)=15.56, p=.000). In the thrd model,
ntracepton (β=-.12), aggresson (β=.14) and succorance (β=.10) predc-
ted engagement n cyber bullyng (R²=.049, F(3, 662)=12.53, p=.000).
In the second analyss, exposure to cyber bullyng (as vctm) was the
dependent varable and the ffteen need scales were ndependent varab-
les. Four models were extracted as the result of analyss. In the frst mo-
del, endurance (β=-.13) predcted exposure to cyber bullyng (R²=.017,
F(1, 664)=12.21, p=.001). In the second model, endurance (β=-.12) and
a laton (β=-.12) predcted exposure to cyber bullyng (R²=.028, F(2,
663)=10.70, p=.000). In the thrd model, endurance (β=-.09), a lat-
on (β=-.14) and change (β=.10) predcted exposure to cyber bullyng
(R²=.036, F(3, 662)=9.17, p=.000). In the fourth model, endurance (β=-
.13), a laton (β=-.16), change (β=.11) and order (β=.10) predcted ex-
posure to cyber bullyng (R²=.041, F(4, 661)=8.08, p=.000).
In the thrd analyss, the probablty of engagng n cyber bullyng n
the future (as perpetrator) was the dependent varable and the 15 need
scales were ndependent varables. Four models were extracted. In the
frst model, aggresson (β=.17) predcted possble future engagement n
cyber bullyng (R²=.026, F(1, 664)=18.93, p=.000). In the second mo-
del, aggresson (β=.14) and a laton (β=-.12) predcted possble futu-
re engagement n cyber bullyng (R²=.039, F(2, 663)=14.34, p=.000).
In the thrd model, aggresson (β=.14), a laton (β=-.10) and hetero-
sexualty (β=-.08) predcted possble future engagement n cyber bull-
yng (R²=.044, F(3, 662)=11.20, p=.000). In the fourth model, aggres-
son (β=.14), a laton (β=-.09), heterosexualty (β=-.08) and endu-
rance (β=-.08) predcted possble future engagement n cyber bullyng
(R²=.049, F(4, 661)=9.49, p=.000).
In addton to psychologcal needs, prevous engagement n cyber bullyng
(β=.51) and exposure to cyber bullyng (β=.10) predcted the lkelhood of
beng a cyber bully n the future (R²=.31, F(2, 663)=150.82, p=.000).
DİLMAÇ / Psychologcal Needs as a Predctor of Cyber bullyng: a Prelmnary Report on College... • 1319
Discussion
In ths study, the rate of cyber vctms exceeded the rate of cyber bul-
les. s fndng s consstent wth the recent fndngs of Hnduja and
Patchn (2008), L (2007a), and Raskauskas and Stoltz (2007). Ma-
les engaged n cyber bullyng more than females, but females were ex-
posed to cyber bullyng more frequently than males. Harman, Han-
sen, Cochran and Lndsey (2005), L (2006), and Smth et al. (2008)
report smlar fndngs n ther studes. ey reported that males en-
gaged n cyber bullyng more frequently than females. However, ths
s a comparatve outcome fndng. Whle males may report more en-
gagement n bullyng than females, females may engage n ndrect
bullyng (Hara, 2002) and relatonal aggresson (Anderson, & Sturm,
2007; Crck, & Grotpeter, 1995). Chbbaro (2007) stated ths rea-
lty as “cyber bullyng behavors also can be both drect and ndrect”
and Mason emphaszed ths d erence between males and females n
cyber bullyng.
ere were also sgnfcant d erences n psychologcal needs between
non-bully-vctms, pure-vctms, pure-bulles, and bully-vctms. Howe-
ver, there was not a sgnfcant nteracton between these groups, gen-
der and psychologcal needs. Non-bully-vctms reported more endu-
rance than pure-vctms and bully-vctms. Endurance was the only va-
rable that predcted exposure to cyber bullyng. When endurance sco-
res ncreased, exposure to cyber bullyng decreased. Rahey (2007) also
found that ncreased frendshp endurance was assocated wth decre-
ased physcal vctmzaton. Another consstent fndng n the current
study s that endurance was a negatve predctor of possble future en-
gagement n cyber bullyng. us, we may consder endurance as a ne-
gatve psychologcal characterstc related to cyber bullyng.
Bully-vctms reported less ntracepton and nurturance than both pure-
vctms and non-bully-vctms. Intracepton and nurturance are con-
cepts closely related to empathy. In fact, Munro, Bore and Pows (2005)
equate ntracepton wth empathy (p. 50). And Batson, Lsher, Cook,
and Sawyer (2005) defne nurturance as the bass for empathc feelngs.
Crothers and Kolbert (2008) suggest that students who frequently bully
are lkely to receve parentng wth lttle nurturance, along wth ds-
cplne that s physcal and severe. It s therefore possble that becau-
se pure-vctms and non-bully-vctms have hgh ntracepton, empathy,
and nurturance, they do not engage n cyber bullyng.
1320 • EDUCATIONAL SCIENCES: THEORY & PRACTICE
Another consstent fndng n the current study was that non-bully-
vctms reported more a laton than bully-vctms. A laton predcted
exposure to cyber bullyng (vctmzaton) and the possblty of engagng
n cyber bullyng n the future. Pellegrn and Bartn (2002) suggest that
socal a laton s an nhbtor of vctmzaton. A laton has a protect-
ve e ect on bullyng and vctmzaton. Regular nternet users use the n-
ternet to establsh socal networks and to connect wth others (“Danger
onlne,” 2007). us, the nternet gratfes ther need for a laton.
Another expected fndng was that bully-vctms reported sgnfcantly
more aggresson than both pure-vctms and non-bully-vctms. We ex-
pected to see ths d erence n favor of bulles. In fact, pure-bulles’ agg-
resson scores were hgher than all other groups. However, no sgnf-
cant d erence could be found between pure-bulles and the other gro-
ups. One possble explanaton for ths result was that the number of
pure-bulles n the sample was relatvely small (n=20). Accordng to Ta-
bachnck and Fdell (2007), as small group sze ncreases the standard
error n the MANOVA restrans the statstcal d erence.
We know from the lterature that there s a strong relatonshp betwe-
en aggresson and cyber bullyng (Beran, & L, 2005; Chsholm, 2006;
Davd-Ferdon, & Hertz, 2007; Harman et al., 2005; Wllard, 2007). In
the current study, aggresson predcted concurrent engagement n cyber
bullyng (as perpetrator), and the possblty of engagng n cyber bull-
yng n the future. ese fndngs provde a reasonable explanaton for
the unexpected MANOVA fndng mentoned above.
Another nterestng fndng was that succorance postvely predcted en-
gagement n cyber bullyng. As expected, cyber bulles may need atten-
ton. By showng aggressve and manpulatve behavors on cyberspace,
they can gratfy ther need for superorty. Accordng to Stover (2006, p.
41), adolescents use socal network stes such as Facebook, MySpace or
Xanga “to buld ther socal status by cozyng up to those who are hgher
up on the socal ladder than they are themselves-and tryng to dengra-
te or exclude others.” Adolescents fnd the attenton or sympathy they
could not fnd n ther o -lne daly lfe, by engagng n cyber bullyng.
Fnally, as expected, prevous engagement n cyber bullyng and expo-
sure to cyber bullyng predcted the lkelhood of beng a cyber bully n
future. us, prevous engagement n cyber bullyng s a strong predc-
tor of cyber bullyng behavors n the future.
DİLMAÇ / Psychologcal Needs as a Predctor of Cyber bullyng: a Prelmnary Report on College... • 1321
Conclusion
s study s a prelmnary assessment of the relatonshp between cyber
bullyng and psychologcal needs among college students. Pror to ths
study, there was lttle theoretcal background n ths area of research.
s study sought to fll ths gap. e results of ths study ndcate that
aggresson and succorance postvely predct cyber bullyng whereas nt-
racepton negatvely predcted t. Endurance and a laton negatvely
predcted cyber vctmzaton. Only the “change need” postvely pre-
dcted cyber vctmzaton. One lmtaton of the study s the homoge-
neous natonalty and soco-economc background of the partcpants.
Replcaton and comparatve studes are therefore needed. However, n
lght of the exstng lterature and the fndngs of the current study, agg-
resson and ntracepton should be pursued n future research on cyber
bullyng.
1322 • EDUCATIONAL SCIENCES: THEORY & PRACTICE
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