University of Warwick institutional repository: http://go.warwick.ac.uk/wrap
This paper is made available online in accordance with
publisher policies. Please scroll down to view the document
itself. Please refer to the repository record for this item and our
policy information available from the repository home page for
further information.
To see the final version of this paper please visit the publisher’s website.
access to the published version may require a subscription.
Author(s): Dieter Wolke, Sarah Woods, and Muthanna Samara
Article Title: Who Escapes or Remains a Victim of Bullying in Primary
School?
Year of publication: 2008
Link to published version:
Publisher statement: None
Running head: Escaping and remaining victims
Who Escapes or Remains a Victim of Bullying in
Primary School?
Dieter Wolke1,3, Sarah Woods2, and Muthanna Samara 1
British Journal of Developmental Psychology, in press
1
University of Warwick, Department of Psychology
University of Hertfordshire, School of Psychology
3
University of Warwick, Health Science Research Institute,
Warwick Medical School
2
Word count (exc. figures/tables): 6,219 (without references and
tables)
*Requests for reprints should be addressed to Professor Dieter Wolke, University of
Warwick, Department of Psychology and Health Sciences Research Institute,
Warwick Medical School, Coventry, CV4 7AL, United Kingdom (e-mail: D.
Wolke@warwick.ac.uk).
Acknowledgements: The study was partly supported by a project grant from the
Economic and Social Science Research Council (ESRC) (award No.: R000222563).
We would like to thank our co-workers and interviewers who contributed to the study:
Katherine Stanford, Anna Marsden and Linda Bloomfield. We are indebted to the
head teachers, teachers and the children who made this study possible.
1
Who Escapes or Remains a Victim of Bullying in Primary School?
Abstract
The stability of both direct and relational victimisation and factors that contribute to
remaining, escaping or becoming a victim of bullying were investigated. 663 children
at baseline aged 6-9 (years 2-4) were interviewed about their bullying experiences and
parents completed a behaviour and health measure. Children’s perception of the
degree of social hierarchical structuring and social prominence in their class was
determined by peer nominations. 432 children participated in the follow-up either 2 or
4 years after baseline aged 10-11 (year 6) and completed a bullying questionnaire.
Relational victims and children from classes with a high hierarchical structure were
more likely to have dropped out of the study compared to neutral children, and
children from classes with a low hierarchical structure. Relative risk analyses
indicated a two-fold increased risk of remaining a direct victim at follow-up,
compared to a child not involved at baseline becoming a victim over the follow-up
period. In contrast, relational victimisation increased but was not found to be stable.
Logistic regression analyses revealed that being a girl, and receiving few positive peer
nominations predicted remaining a direct victim. Becoming a relational victim at
follow-up was predicted by a strong class hierarchy. The implications for future study
of early recognition of likely long term victims and early preventative bullying
initiatives are discussed.
2
Introduction
Bullying victimisation refers to a student being exposed to negative actions on
the part of one or more other students with the intention to hurt. Bullying must be a
repeated action and occur regularly over time (Olweus, 1999) and it usually involves
an imbalance in power, either real or perceived (Craig, 1998; Whitney & Smith,
1993). Victimisation can be physical, including acts such as being hit or beaten and
physical or verbal threats, often referred to as direct victimisation, or relational
defined as the purposeful damage and manipulation of peer relationships leading to
social exclusion by spreading malicious gossip or withdrawal of friendships (Crick &
Grotpeter, 1995; Wolke, Woods, Bloomfield, & Karstadt, 2000).
Recently, studies have begun to address the issue of stability of bullying
victimisation, and the risk factors associated with becoming involved in, remaining
involved in, or escaping victimisation (Cote, Vaillancourt, Barker, Nagin, &
Tremblay, 2007; Crick, Ostrov, & Werner, 2006; Pellegrini & Long, 2002). There is
general agreement that the prevalence of victims decreases but the stability of
victimisation increases in the adolescent years (Coyne, Archer, & Eslea, 2004;
Olweus, 1978; Perry, Kusel, & Perry, 1988). Continued victimisation among
adolescent samples have typically found that these individuals tend to have few
friends, high absenteeism from school, and significant behaviour problems (e.g.
Smith, Talamelli, Cowie, Naylor, & Chauhan, 2004). In contrast, there are mixed
findings regarding stability, in particular, of the victim role during primary school
years. Some have reported that bullying among primary school children is a
moderately stable behaviour over a school year and transition to the next school year
(Boulton & Smith, 1994; Boulton & Underwood, 1992). Others have found low
3
stability of victimisation during primary school years using various methodologies.
For example, Kochenderfer-Ladd and Waldrop (2001) found that from kindergarten
to third grade, only 4% occupied the victim role at all four time points of
measurement using self-reports. Similarly, Schäfer and Albrecht (2004) who used a
pictorial self-report found low stability over a period of a month. A lack of stability
has also been found using peer reports of victim roles (Monks, Smith, & Swettenham,
2003). A further key issue is that the majority of studies to date have solely focused
on direct victimisation, and have not explored the stability of relational victimisation
among young children.
Two proposals have been put forward to explain why a significant number of
children are chronically victimised and others move in and out of different roles.
Firstly, theories related to variations in peer structure and dominance hierarchies may
account for differences in the stability of victimisation roles (Pellegrini & Long,
2002). Schäfer, Korn, Brodbeck, Wolke and Schulz (2005) suggested that the clearer
the hierarchical dominance structure has been formed in social interactions and social
cognitions, the less likely it is to escape from the victim role in the class. The victims’
escape is hampered by their weaker role in a strong social ranking hierarchy. They
proposed that peer hierarchies, as a group level construct can be measured by the
children’s shared perceptions of the degree of social structuring in their class. This
can be indexed by differential social prominence within the class, and represented on
the class level by determining the within class variance of social impact scores (Coie,
Dodge, & Coppotelli, 1982). The larger the variance the stronger the established peer
hierarchies within a class. Schäfer et al. (2005) found that victims in primary school
classes with a more pronounced hierarchical structure proved more stable in their
4
victim role from primary to secondary school, compared to those from classes with
lower social hierarchies. Thus, the social context appears to be an important influence
already in primary school for continued victimisation status.
Secondly, individual child characteristics in addition, or in interaction with
social factors may account for children remaining or escaping the victim role. These
include the development of proactive and adaptive coping strategies that enable
children to cope more successfully with victimisation attempts. Those who continue
to be victimised are likely to have less effective coping skills (Smith, Shu, & Madsen,
2001). Coping behaviour can draw on both internal resources (self-esteem, physical
and emotional health, intelligence, personality) and external resources (social support,
changes in the environment) (Maes, Leventhal, & de Ridder, 1996). There is
considerable evidence that victims lack the necessary internal resources that allow
them to deal with bullying incidents effectively, or to rally the social support and
make friendships to fend off bullies (Boulton & Smith, 1994; Olweus, 1993; Schuster,
1996). Hodges, Malone, and Perry (1997) have argued that there are three prominent
external resources in relation to social network factors that contribute to prolonged
victimisation: 1) few friends, 2) quality of friends (such as their peer status), and 3)
general standing in the peer group (specifically extent of peer rejection). Indeed,
evidence does suggest that supportive peer groups and reciprocated friendships can
protect against victimisation (Boulton & Smith, 1994; Boulton, Trueman, Chau,
Whitehand, & Amatya, 1999; Hay, Payne, & Chadwick, 2004; Hodges, Boivin,
Vitato, & Bukowski, 1999; Pellegrini, Bartini, & Brooks, 1999).
5
Finally, to assess the stability of roles in bullying different methodologies have
been used. Few longitudinal studies have employed relative risk analysis of different
forms of victimisation (Schäfer et al, 2005). The current study considers both social
(peer structure, dominance hierarchies) and individual characteristics that are likely to
explain why some children may escape and others remain stable victims. Individual
characteristics include the child’s sex, age, their behaviour, health status and
educational problems at baseline, and the social context they grow up in such as
siblings and home situation. Social context variables include the number of friends,
rejection of other children, and the social hierarchy of their class.
The aims of the present study among primary school children in the U.K were
to investigate: (1) the stability of direct and relational victimisation among primary
school children over a period of 2-4 years; and (2) to determine what combination of
individual and social factors best predicts remaining involved in victimisation,
escaping victimisation or becoming involved in direct or relational victimisation,
respectively.
Method
Design and Subjects
The present study is a longitudinal investigation involving 17 primary schools
(24 classes) in Hertfordshire and North London, U.K. All schools approached to take
part in the follow-up study agreed to participate. The baseline (time 1) assessment was
carried out with children from year 2 (aged 6-7 years) and year 4 (aged 8-9 years).
Children participated in an individual bullying interview at baseline (for further
information, please refer to Wolke et al. [2000; 2001a, 2001b], and repeated the
6
bullying assessment administered as a questionnaire when the children were in year 6
(last year of primary school), i.e. 2 or 4 years after the baseline assessment (time 2)).
Of the 663 pupils in the 24 classes at baseline, 29 were not assessed [n = 14 (48%)
absent on assessment days, and n = 15 (52%) non-consent], and 202 pupils were dropouts when the study was carried out at time 2 [n = 7 (3%) were non-consent, n = 24
(12%) were absent and n = 171 (85%) had moved to another school]. Of the total 618
pupils in the follow up study (time 2), 157 were new children that were not originally
assessed at baseline. Thus, 432 of 663 (65%) pupils were assessed at the baseline
(time 1) and follow-up (time 2). For issues of statistical power the two groups studied
over the 2 or 4 year period were collapsed into one follow-up group for analysis.
Procedure
The study received ethical permission from the University of Hertfordshire
Ethical Committee. After securing consent from the head teacher and the individual
teachers, written information about the study and a non-consent form (parents were
asked to sign if they did not want their child to take part) was passed to all parents via
the pupils.
Pupils were individually asked to complete the bullying interview at baseline
(time 1) (all interviewers trained and reliability checked), and the bullying
questionnaire at follow-up (time 2). The researcher provided a detailed description of
what does/does not constitute bullying behaviour, and emphasised the differences
between direct and relational forms of bullying. The self-report questionnaire used at
follow-up was administered to whole classes (N = 26-32) by a trained psychology
postgraduate researcher. Pupils were instructed on the importance of not conferring
7
with one another whilst completing the questionnaire, and were asked to complete in
silence, unless they needed to ask the researcher a question. The bullying interview
and self-report questionnaire both took approximately 10-15 minutes to complete.
Children and parents were free to discontinue with the study at any time. The
opportunity to consult with the researcher via telephone or personal consultation in
the school if they wanted to discuss any issues related to the study was offered to all
involved. No pupils became distressed during the study.
Instruments
Baseline and Follow-up
Bullying victimisation- In this section the pupils were asked to complete the bullying
interview at baseline (time 1) and the bullying questionnaire at follow-up (time 2).
Assessments at baseline and follow-up were identical and included questions adapted
from the widely used questionnaire by Olweus (1993): First, pupils were asked if they
were ever bullied at school in the last six months by other student/s using any of six
forms: (a) hit, kicked, pushed; (b) had belongings taken or damaged; (c) called nasty
names; (d) made fun of by others; (e) left out of things on purpose, excluded from the
group or completely ignored; (f) other students told lies or spread rumours about them
and/or tried to make others dislike them. Questions (a), (b), (c) and (d) indicate direct
victimisation at school, and questions (e) and (f) relational victimisation.
Those children who had experienced one or more of these behaviours were asked how
frequently these incidents happened during the last 6 months (1 = never, 2 =
rarely/hardly ever, 3 = frequently/about once a week, 4 = very frequently/more than
8
once a week.) For statistical analysis, never and rarely/hardly ever were not
considered as regular victimisation, whereas frequently and very frequently accounted
for a child being regularly victimised. According to the answers, pupils were
classified as being uniquely involved as a direct or relational victim, or involved in
both direct and relational victimisation (Whitney & Smith, 1993; Wolke & Stanford,
1999; Wolke, Woods, Schulz, & Stanford, 2001).
We also enquired whether the children were involved in bullying themselves
using the same item format. For the purpose of this study we considered “pure”
victims as those who were not at the same time involved in perpetration
(bully/victims).
Baseline
Peer Nominations - Children were asked to identify (using code numbers) the three
children who they liked the most in their class (positive peer nominations), and the
three children they disliked most in their class (negative peer nominations). Children
were assigned sociometric categories using the procedures described by Coie, Dodge
and Coppotelli (1982). Liked-Most (LM) and Liked-Least (LL) nominations from
peers were summed for each child and then standardized (z-transformed) within class
and school. Social Preference scores (ZLM – ZLL) and Social Impact scores (ZLM +
ZLL) were calculated and standardized within class (and school), permitting the
computation of the sociometric status classifications of rejected and neglected.
Peer Hierarchies – The methodology used by Schäfer et al. (2005) was used to
identify the peer hierarchical structure of each class. The SD of social impact scores
9
per class were used to characterise shared social representations of a hierarchical
structure. Low scores demonstrate that children have a similar social impact (i.e. a
low hierarchical structure). In contrast, high scores illustrate that there are large
differences between children, which corresponds to a high degree of hierarchical
structuring at the class level. To distinguish between high versus low hierarchical
structures, each class was assigned a peer hierarchy value based on the median split.
Each individual within the class was assigned the class value to indicate whether they
came from a class with high or low hierarchical structuring.
Behaviour Questionnaire – The Strength and Difficulties Questionnaire (SDQ)
(Goodman, 1997) was completed by parents at baseline (time 1) to screen for
behaviour problems. The 25 items of the SDQ (Goodman, 1997; Goodman, 2001;
Klasen et al., 2000) fall into 5 scales of 5 items each: Conduct Problems,
Hyperactivity, Emotional Symptoms, Peer Problems and Prosocial Behaviour. For
each scale, except for prosocial, higher scores indicate more problems. A total
difficulties behaviour score was computed by combining all scales except from the
prosocial behaviour scale. The current study reports on total difficulties behaviour
scores only.
For categorical analysis, we used Goodman’s (1997) cut-off points to identify
children in the sample in the clinical range (>90th percentile). The current study
focuses on those children classified as having normal/borderline total behaviour
difficulties (≤90th percentile) versus those who had behaviour difficulties within the
clinical range (>90th percentile).
10
Health Questionnaire – At baseline (time 1) parents of children completed a standard
health questionnaire (Wolke, Woods, Bloomfield, & Karstadt, 2001) with two
sections: a) 7 items about physical health problems (PHP) over the previous 6 months
rated on a 7 point scale (none to 6 or more times) (headache, tummy ache, sore
throat/ear ache, cold/cough, feeling sick, breathing problems, skin problems), b) 7
items about emotional health problems (EHP) (previously known as psychosomatic
health problems) rated according to a 5-point scale (never to most days) (bed wetting,
problems going to sleep, nightmares, woken in the night, poor appetite, excessive
appetite, worried about going to school). The items used to assess physical health
problems and emotional health problems were summed together to construct two
variables for the total amount of physical and emotional health problems that children
experienced.
Other important variables measured at baseline (time 1) were: (1) whether the
child had special educational needs (SEN) (Children at stages 2-5 were considered as
having SEN in the current sample or if children received extra learning support either
from within the school or an outside party) (Woods & Wolke, 2004), (2) the total
number of times each child was nominated as being liked by peers, (3) the total
number of times each child was nominated as disliked by peers, and (4) the child’s
home situation (whether the child lived with biological parents, single parent or
parent’s partner.
Statistical Analysis
The statistical analysis was carried out in three stages: (1) Drop-out analyses
(Wolke, Ratschinski, Ohrt, & Riegel, 1994; Wolke, Söhne, Ohrt, & Riegel, 1995) of
11
baseline measures using chi-square were carried out to determine any significant
differences between those children who dropped out of the study between baseline
and follow-up, and those children that participated at both times (baseline & followup), (2) Relative Risk analyses using Epi-info version 6.04D (www.cdc.gov) were
carried out to assess the stability or change of direct and relational victimisation
between baseline (time 1) and follow-up (time 2) (see Schäfer et al., 2005; see Wolke,
Söhne, Riegel, Ohrt, & Österlund, 1998). Yates’ correction for chi-square analyses
was used for the relative risk analyses due to relatively small sample sizes. (3)
Logistic regression analyses using backward stepwise models were carried out to
determine what combination of factors (at baseline: gender, SEN, child’s home
situation, school year, number of times nominated as liked by peers, number of times
disliked by peers, class hierarchical structure [range from .45-1.66, median split cutoff point .97], rejected/neglected sociometric status, behaviour problems in the
clinical range, total number of physical health problems, and total number of
emotional health problems) best predict remaining involved in victimisation, escaping
victimization, or becoming involved in victimisation for direct and relational bullying,
respectively. The value for retention in the logistic regression function was set at
p<.10.
Results
Drop-Out Analysis
Those children who participated at baseline and follow-up (N = 432), were
compared to those children who dropped out of the study and did not take part in the
follow-up study (N = 202). Chi-square analyses revealed a significant difference
12
between relational victims and neutral children, and whether the child took part in
both studies ( χ 2 (1, N = 579) = 7.44, p < .01). Those children who were classified as
relational victims (dropout: 36.9%) at baseline were more likely to drop-out of the
study compared to neutrals (dropout: 26.2%) (Odds Ratio: 1.64, 95% CI=1.15-2.35).
Just considering those children who had moved schools (N = 171); they were
significantly more likely to be classified as relational victims (moved school = 46.7%
vs. non drop-out = 37.1%) compared to those children who took part in the study both
times (Odds Ratio: 1.49, 95% CI=1.02-2.17) ( χ 2 (1, N = 554) = 4.29, p <.05). No
significant difference was found for drop-out rates between direct victims compared
to neutrals. An independent analysis t-test revealed that children who dropped out (M
= 1.02) of the study came from classes with a significantly higher peer hierarchical
structure compared to children who participated in the original and follow-up study
(M = .97) (t (634) = 2.29, p < .05). Furthermore, children who had fewer friends (0-4
friends) in their class were significantly more likely to drop-out (56.3% vs. 43.0%) of
the study compared to those children who reported having many friends (8-10 friends)
(43.8% vs. 57.0%) ( χ 2 (1, N = 405) = 6.21, p < .01) (Odds Ratio: 1.71, 95% CI=1.122.60).
The Stability of Victimisation
Direct Victimisation:
At baseline, 22.5% (n = 97) of children were classified as direct victims while
25.4% (n = 117) of children were categorised as direct victims at follow-up. A
McNemar Test revealed no significant differences between the rate of direct
victimisation at baseline and follow-up ( χ 2 = 2.58, p = .12). Figure 1 illustrates the
13
number and percentage of children who remained victims at follow-up (V-V),
children who escaped victimisation at follow-up (V-NV), children who became
involved in victimisation at follow-up (NV-V), and those children who remained not
involved in victimisation at baseline and follow-up (NV-NV). Children classified as
direct victims at baseline had a two fold increased risk of remaining a direct victim at
follow-up, (RR = 1.91; 95% CI: 1.37-2.66, χ 2 = 12.57, p < .001) compared to nonvictims at baseline becoming victims at follow-up (NV-V).
Relative risk analyses computed for the stability of direct victimisation
according to gender revealed that victimisation was highly stable for girls over 2 to 4
years (RR = 2.49; 95% CI: 1.61-3.85, χ 2 = 13.74, p < .001), but not for boys (RR =
1.45; 95% CI: 0.87-2.40, χ 2 = 1.47, p = .23). Girls had a 2.5 fold increased risk of
remaining a direct victim at follow-up (V-V), compared to non-victim girls at baseline
becoming victims at follow-up (NV-V) (Figure 2).
<Insert Figures 1 & 2 >
Relational Victimisation:
10.4% (n = 45) of children were classified as relational victims at baseline and
25.8% (n = 119) of children at follow-up. A McNemar Test revealed that significantly
more children were relationally victimised at follow-up compared to baseline ( χ 2 =
37.53, p < .001). Relative risk analysis was carried out to determine the stability of
relational victimisation over 2-4 years between baseline and follow-up (Figure 3).
There was no long-term risk for children who were classified as relational victims at
baseline, to remain a relational victim at follow-up (RR = 0.98; 95% CI: 0.57-1.68,
14
χ 2 = .01, p = 0.93). Relative risk analyses for the stability of relational victimisation
according to gender revealed no significant difference for boys (RR = 1.58; 95% CI:
0.87 – 2.88, χ 2 = 1.29, p = .23) and girls (RR = 0.48; 95% CI: 0.16 – 1.42, χ 2 =
1.44, p = .23).
<Insert Figure 3>
Remaining and Becoming Involved in Victimisation
Logistic Regression analyses were carried out to determine the best
combination of individual child factors predicting the following dependent variables:
(1) remains a direct victim at follow-up versus escaped direct victimisation at followup, (2) become a direct victim at follow-up versus remain a non-victim at follow-up,
(3) remains a relational victim at follow-up versus escaped relational victimisation at
follow-up, (4) become a relational victim at follow-up versus remain a non-victim at
follow-up.
The independent variables were categorised as follows: (a) whether the child
had a statement of special educational needs (SEN levels 2-5) (SEN vs. No SEN), (b)
the number of times the child was nominated as liked by peers (positive peer
nomination), (c) the number of times the child was nominated as disliked by peers
(negative peer nomination), (d) peer hierarchical status (low vs. high), (e) whether the
child was rejected or neglected by peers (rejected/neglected vs. all others), (f) the
child’s home situation (lives with biological parents vs. lives with single parent and
parent’s partner, and lives with single parent vs. all others), (g) gender (males vs.
females), (h) school year (year 2 vs. year 4), (i) total number of physical health
15
problems (no physical health problems vs. at least one physical health problem), (j)
total number of emotional health problems (no emotional health problems vs. at least
one emotional health problem), (k) total number of behaviour problems
(normal/borderline behaviour problems vs. clinical behaviour problems).
First, a full model was built forcing all 11 independent variables into the
prediction function and then removing those variables (backward stepping) which did
not make a significant contribution to the model (no significant change in fit when
removing variables).
The final model for predicting remaining a direct victim versus escapes direct
victimisation at follow-up is shown in table 1 ( χ 2 (2, N = 52) = 11.16; p < .01).
Two factors significantly predicted remaining a direct victim versus escaping
victimisation: Gender (odds ratio: 5.14, CI (95%): 1.45-18.17), and positive peer
nominations (odds ratio: 1.24, CI (95%): 1.02-1.52). Females compared to males, and
children with fewer positive peer nominations compared to children with many
positive peer nominations were more likely to remain direct victims at follow up.
<Insert Table 1>
The logistic regression model for predicting becoming a direct victim at
follow-up versus remaining non-victimised was non-significant.
16
The final model for predicting remaining a relational victim at follow-up
versus escaping relational victimisation was non-significant.
The final logistic regression model for predicting becoming a relational victim
at follow-up versus remaining a non-victim is shown in table 2 ( χ 2 (3, N = 234) =
11.99; p < .01). Three factors had a significant impact on predicting becoming a
relational victim: Peer hierarchies (odds ratio: 2.00, CI (95%): 1.08-3.70), emotional
health problems (odds ratio: 1.81, CI (95%): .97-3.36), and negative peer nominations
(odds ratio: .93, CI (95%): .87-1.01) (tendency at p<.06). Those children who were
from classes with a high hierarchical structure at baseline, had at least one emotional
health problem at baseline, and received many negative peer nominations were more
likely to become a relational victim at follow-up compared with those children who
were from classes with a low hierarchical structure, had no emotional health
problems, and received few negative peer nominations.
<Insert Table 2>
Discussion
The current study investigated the stability of direct and relational
victimisation over a two to four year period among primary school children using risk
analysis. Factors that contributed to the prediction of remaining or escaping direct and
relational victimisation were also considered. A review of the central findings
indicates that children who dropped-out of the study between baseline and follow-up
were significantly more likely to have been relational victims than non-victims, had
few friends and came from classes with a high hierarchical peer structure at baseline.
17
A second key finding identified that children classified as direct victims had a twofold increased risk of remaining a direct victim at follow-up compared to non-victims
at baseline becoming victims at follow-up. Results further highlight that direct
victimisation was only stable for girls. Being a girl and receiving few positive peer
nominations predicted remaining a direct victim. An increased rate of relational
victimisation was found at follow-up compared to baseline. In contrast to direct
victimisation, no long-term risk was found for children classified as relational victims
at baseline to remain relational victims at follow-up. Children who were at baseline
in classes with strong peer hierarchies, received negative peer nominations and had
emotional health problems were more likely to become relational victims at follow-up
2 to 4 years later.
The majority of the children who dropped out of the study had moved to
another school (85% of dropouts). The loss to follow-up was not random but
selective. Relational victims as opposed to non victims were significantly more likely
to have changed school. Furthermore, children who dropped out of the study had
significantly fewer friends and were in more hierarchically organised classes. Having
a high dominance relationship established in the class allows for less manoeuvre to
make new friends (Schäfer et al., 2005). Friendship can serve as a protective factor,
contributing to school enjoyment (Boulton, Trueman, Chau, Whitehand, & Amatya,
1999; Coyne, Archer, & Eslea, 2004; Hodges, Boivin, Vitato, & Bukowski, 1999;
Lamarche et al., 2006), while peer rejection can increase victimisation (Boulton &
Smith, 1994; Cillessen & Mayeux, 2004; Hay, Payne, & Chadwick, 2004; Pellegrini,
Bartini, & Brooks, 1999). We may speculate that being less popular and relationally
victimised could be among the reasons that the children moved to another school.
18
The children in the present study were aged between 6-9 years at baseline and
10-11 years of age (final year of primary school) at follow-up. An increased rate of
victimisation between baseline and follow-up was found only for relational
victimisation. Most studies within the literature have reported a fairly steady decline
in direct victimisation through ages 8 to 16 years (e.g. Pellegrini & Long, 2002;
Whitney & Smith, 1993) which is in line with our findings. The finding that
relational victimisation increases with age is consistent with the developmental model
proposed by Björkqvist, Lagerspetz and Kaukiainen (1992), and Björkqvist (1994)
that relational strategies of victimisation become more frequent and prominent with
increasing age (Crick & Grotpeter, 1995; Keating & Heltman, 1994; Murray-Close,
Ostrov, & Crick, 2007; Sutton, Smith, & Swettenham, 1999).
This study considered the stability of victimisation behaviour by means of risk
analysis. Previous research has tended to concentrate on peer nomination methods
and employed frequency analysis or correlational analysis to discern the stability of
bullying behaviour. Furthermore, most studies have relied upon examining the
stability of aggressors rather than victims (Crick, Ostrov, & Werner, 2006;
Keltikangas-Jaervinen, Terav, & Pakaslahti, 1999; Olweus, 1978; Warman & Cohen,
2000). The current study revealed a two-fold increased risk for remaining involved in
direct victimisation behaviour at follow-up. This finding supports some previous work
that victimisation behaviour is generally a stable behaviour over a year or more
(Boulton & Smith, 1994; Camodeca, Goossens, Meerum-Terwogt, & Schuengel,
2002; Dempsey, Fireman, & Wang, 2006; Kochenderfer & Ladd, 1996; Sourander,
Helstela, Helenius, & Piha, 2000). When gender differences were considered, results
revealed that girls had a 2.5 increased risk for remaining involved in direct
19
victimisation behaviour at follow-up, whereas no increased risk was found for boys.
Several factors may contribute to girls being more stable in their victimisation. Firstly,
single sex groups of girls participate less frequently in direct physical bullying
behaviour which involves predominantly male groups, or mixed groups with a higher
ratio of boys to girls (Crick & Grotpeter, 1995; Ostrov & Keating, 2004). Thus being
a female direct victim is highly visible among the peer group and may subsequently
lead to them getting a reputation for being a direct victim that is difficult to change.
Secondly, female friendship networks are usually tightly knit (Cairns, Perrin, &
Cairns, 1985; Murray-Close, Ostrov, & Crick, 2007) with few alternative peers from
different groups and related to dominance and peer acceptance characteristics (Ostrov
& Keating, 2004). Both reputation and close networks may make it more difficult to
escape the victimisation role. Thirdly, previous research has revealed that stable
victimised girls were found to be high in impulsivity compared to those who escaped
victimisation at follow up (Dempsey et al., 2006). Impulsivity reflects a difficulty in
regulating negative emotion and inhibiting negative arousal, and thus could lead to
involvement in more direct victimisation. It has also been suggested that female
victims who have poor social skills have particular problems to recruit other children
to defend them in victimisation situations (Cowie & Olafsson, 2000). Thus, some or
all of these factors may explain why girls were more stable in their victimisation. This
finding requires replication and further investigation.
In contrast to the two-fold increased risk found for direct victimisation, no
long-term risk was revealed for those children involved in relational victimisation
between baseline and follow-up. One explanation is that children who dropped out of
the study, mainly because the pupils had left the schools, were over represented as
20
relational victims. Thus, those pupils who were most strongly affected by relational
victimisation, had few friends, came from highly socially hierarchical classes, and had
left the study may have been the most likely to remain stable relational victims. In
other contexts, Wolke et al. (1995) has shown how selective dropout can seriously
bias long-term conclusions of adverse outcomes. The documentation of selective
dropout should be an important consideration in any prospective study of bullying
victimisation as shown here.
Alternatively, the lack of stability in relational victimisation can be explained
from a developmental perspective. Bullying and victimisation behaviour follows a
developmental trajectory which initially begins with direct physical acts of
aggression/victimisation, followed by verbal acts and finally relational
bullying/victimisation once the child has sufficient cognitive capabilities to plan the
relational acts (Björkqvist et al., 1992). The current results illustrate that direct
victimisation between the ages of 6-11 years appears to have become a stable
behaviour between female victims and bullies. In between the baseline and follow-up
assessment the direct bully is reinforced by his/her victim. This leads the aggressor to
bully more and the victim to develop maladaptive coping responses in association
with possible psychological and physical complaints (low self-esteem, loneliness,
depression, anxiety, and sickness) which increase in severity and make victimisation
persist longer (Boivin, Hymel, & Burkowski, 1995; Craig, 1998; Hawker & Boulton,
2000). Conversely, the current results suggest that relational victimisation has not
become a stable behaviour between the ages of 6-11 years although it increases with
age (Murray-Close, Ostrov, & Crick, 2007). In fact, many more pupils were
relationally victimised at 10-11 years of age than 2 to 4 years previously. It would
21
appear that relational bullying behaviour is still being tried and tested during primary
school years and is more prominent as the child gets older and the relationships
become more intimate. During primary school years, the peer group is still rapidly
changing and developing (Pellegrini & Bartini, 2001) with children having a variety
of different school friends and fallings out over the school year which may contribute
to the instability in relational victimisation found in the current research. As the
present study only examined victimisation over a 2-4 year time period it remains to be
seen whether relational victimisation does actually become a stable behaviour at a
later age (during secondary school) when relational bullying has been reported to be
used more frequently by girls (Björkqvist et al., 1992; Cillessen & Mayeux, 2004).
From a theoretical and educational perspective it is important to know what
individual characteristics contribute to remaining or escaping being a direct or
relational victim, and what factors contribute to becoming a direct or relational victim.
Females rather than males, and children with few positive peer nominations were the
two risk factors for remaining a direct victim. Friends and being liked protect against
prolonged victimisation (Fox & Boulton, 2006; Lamarche et al., 2006). However, this
study cannot reveal anything about the quality and reciprocity of friendships. This
would be an important consideration for future long-term studies as friendships have
the capacity to buffer against, or defend the victim from aggressive advances in order
to serve as a protective factor (Hodges, Boivin, Vitato, & Bukowski, 1999; Pellegrini
& Long, 2002). We speculate that females who remain as direct victims may not have
reciprocated best friends that are able to buffer against the negative and adverse
effects of direct, physical victimisation in terms of adaptive coping strategies
22
(Cillessen, Jiang, West, & Laszkowski, 2005) and were thus less likely to be
nominated as liked peers.
Emotional health problems and high class hierarchical structure were found to
predict becoming a relational victim at follow-up. This finding emphasises the
importance of being aware of a child’s physical and emotional health as a risk factor
for bullying involvement (Wolke et al., 2001a). Relational bullies may have the skills
required to recognise that a child is suffering with emotional problems and therefore
target this vulnerability using psychological forms of manipulation, which in turn may
exacerbate the child’s emotional problems leading to a pattern of relational
victimisation. Furthermore, having these emotional problems and being relationally
victimised is likely to lead to increases in internalising problems (Crick, Ostrov, &
Werner, 2006). The social context in the form of peer hierarchies is an important
consideration in addition to individual factors when investigating victimisation.
Children who became relational victims at follow-up came from classes with a clearer
hierarchical dominance structure at baseline. The strong social ranking of the peer
hierarchy at baseline could have hampered the child’s ability to interact with peers,
and had a negative impact on the development of competent social interactions that
were subsequently seized on by aggressors at follow-up. This provides additional
support and advances the findings from Schäfer at al. (2005) that victimisation
remains more stable in classes that have a high hierarchical peer structure, and that
social dominance and hierarchical strategies set limits for access to new peer
relationships (Pellegrini & Long, 2002).
23
The strengths of the study include the sufficient sample size, a high follow-up
rate for those remaining at the schools and thorough documentation of those lost to
follow-up. Conversely, the reliance on self-reports of victimisation behaviour in the
form of private interviews or questionnaires may serve as a limitation of the present
study. We decided to use self-reports rather than peer nominations as we also wanted
to investigate variations in prevalence of bullying involvement between different
schools and cross culturally (Wolke et al., 2001b; Woods & Wolke, 2003). Secondly,
the computation of victimisation using peer nominations standardised by class would
not have allowed such analysis. The same measure was repeated at follow-up, but
instead of a face to face interview it was administered as a questionnaire in class.
Thus, the mode of administration may have affected results although high consistency
in prevalence has been found using questionnaires and interviews (Smith & Levan,
1995; Wolke & Stanford, 1999; Wolke et al., 2001b). Finally, ideally one would have
liked to follow the children up after each school year and into secondary school, to
minimise the influence of age differences, as some studies have reported that the
direct victim role is less stable at younger ages compared to later primary school years
(e.g. Boulton & Underwood, 1992; Kochenderfer-Ladd & Wardrop, 2001). However,
economical constraints prevented annual follow-up.
To conclude, the current study has shed light upon the stability of direct and
relational victimisation among primary school children and the important factors
related to remaining involved, or escaping from victimisation. Our findings have a
number of implications for educational professionals. First, it should be recognised
that direct victimisation is likely to become a stable behaviour during the primary
school years in a substantial number of pupils with girls at particular risk. Secondly,
24
being relationally victimised and socially isolated could be a reason for parents
initiating a change of school, and school practitioners should be aware of this. These
findings call for the development and implementation of intervention programmes
that tackle victimisation at an early age in primary school. Personal and social
education should ensure that work centred on friendship in terms of making and
maintaining friends is preserved. The implementation of peer networks facilitating
peer relationships in combating bullying appear useful (Cowie & Olafsson, 2000).
The findings also have relevance for school professionals, health practitioners and
parents to be aware of children showing signs of both physical and emotional health
problems, as these appear to be important risk factors for becoming and remaining a
victim.
25
References
Björkqvist, K. (1994). Sex Differences in Physical, Verbal, and Indirect Aggression:
A Review of Recent Research. Sex Roles, 30, 177-188.
Björkqvist, K., Lagerspetz, K. M. J., & Kaukiainen, A. (1992). Do Girls Manipulate
and Boys Fight? Developmental Trends in regard to Direct and Indirect
Aggression. Aggressive Behaviour, 18, 117-127.
Boivin, M., Hymel, S., & Burkowski, W. M. (1995). The roles of social withdrawal,
peer rejection and victimization by peers in predicting loneliness and
depressed mood in childhood. Development and Psychopathology, 7, 765-785.
Boulton, M. J., & Smith, P. K. (1994). Bully/victim problems in middle-school
children: stability, self-perceived competence, peer perceptions and peer
acceptance. British Journal of Developmental Psychology, 12, 315-329.
Boulton, M. J., Trueman, M., Chau, C., Whitehand, C., & Amatya, K. (1999).
Concurrent and longitudinal links between friendship and peer victimization:
Implications for befriending interventions. Journal of Adolescence, 22, 461466.
Boulton, M. J., & Underwood, K. (1992). Bully/victim problems among middle
school children. British Journal of Educational Psychology, 62, 73-87.
Cairns, R. B., Perrin, J. E., & Cairns, B. D. (1985). Social structure and social
cognition in early adolescence. Journal of Early Adolescence, 5, 339-355.
Camodeca, M., Goossens, F. A., Meerum-Terwogt, M., & Schuengel, C. (2002).
Bullying and victimization among school-age children: Stability and links to
proactive and reactive aggression. Social Development, 11, 332-345.
26
Cillessen, A. H. N., Jiang, X. L., West, T. V., & Laszkowski, D. K. (2005). Predictors
of dyadic friendship quality in adolescence. International Journal of
Behavioral Development, 29, 165-172.
Cillessen, A. H. N., & Mayeux, L. (2004). From censure to reinforcement:
Developmental changes in the association between aggression and social
status. Child Development, 75, 147-163.
Coie, J. D., Dodge, K. A., & Coppotelli, H. (1982). Dimensions and types of social
status: A cross-age perspective. Developmental Psychology, 18, 557-570.
Cote, S. M., Vaillancourt, T., Barker, E. D., Nagin, D., & Tremblay, R. E. (2007). The
joint development of physical and indirect aggression: Predictors of continuity
and change during childhood. Development and Psychopathology, 19, 37-55.
Cowie, H., & Olafsson, R. (2000). The role of peer support in helping the victims of
bullying in a school with high levels of aggression. School Psychology
International, 21, 79-95.
Coyne, S. M., Archer, J., & Eslea, M. (2004). Cruel intentions on television and in
real life: Can viewing indirect aggression increase viewers' subsequent indirect
aggression? Journal of Experimental Child Psychology, 88, 234-253.
Craig, W. M. (1998). The relationship among bullying, victimization, depression,
anxiety and aggression in elementary school children. Personality and
Individual Differences, 24, 123-130.
Crick, N., Ostrov, J., & Werner, N. (2006). A longitudinal study of relational
aggression,
physical
aggression
and
children's
social-psychological
adjustment. Journal of Abnormal Child Psychology, 34, 127-138.
Crick, N. R., & Grotpeter, J. K. (1995). Relational aggression, gender, and socialpsychological adjustment. Child Development, 66, 710-722.
27
Dempsey, J., Fireman, G., & Wang, E. (2006). Transitioning Out of Peer
Victimisation in School Children: Gender and Behavioral Characteristics.
Journal of Psychopathology and Behavioral Assessment, 28, 273-282.
Fox, C. L., & Boulton, M. J. (2006). Longitudinal association between
submissive/nonassertive social behavior and different types of peer
victimization. Violence and Victims, 21, 383-400.
Goodman, R. (1997). The strengths and difficulties questionnaire: A research note.
Journal of Child Psychology and Psychiatry, 38, 581-586.
Goodman, R. (2001). Psychometric properties of the Strengths and Difficulties
Questionnaire (SDQ). Journal of the American Academy of Child and
Adolescent Psychiatry, 40, 1337-1345.
Hawker, D. J. S., & Boulton, M. J. (2000). Twenty years' research on peer
victimization and psychosocial adjustment: a meta-analytic review of crosssectional studies. Journal of Child Psychology and Psychiatry, 41, 441-456.
Hay, D., Payne, A., & Chadwick, A. (2004). Peer relations in childhood. Journal of
Child Psychology and Psychiatry, 45, 84.
Hodges, E. V. E., Boivin, M., Vitato, F., & Bukowski, W. M. (1999). The power of
friendship: Protection against an escalating cycle of peer victimization.
Developmental Psychology, 35, 94-101.
Hodges, E. V. E., Malone, M. J., & Perry, D. G. (1997). Individual risk and social risk
as interacting determinants of victimization in the peer group. Developmental
Psychology, 33, 1032-1039.
Keating, C. F., & Heltman, K. R. (1994). Dominance and deception in children and
adults: Are leaders the best misleaders? Personality and Individual
Differences, 20, 312-321.
28
Keltikangas-Jaervinen, L., Terav, T., & Pakaslahti, L. (1999). Moral reasoning among
Estonian and Finnish adolescents: A comparison of collectivist and individual
setting. Journal of Cross-Cultural Psychology, 30, 267-290.
Klasen, H., Woerner, W., Wolke, D., Meyer, R., Overmeyer, S., Kaschnitz, W., et al.
(2000). Comparing the German versions of the Strengths and Difficulties
Questionnaire (SDQ-Deu) and the Child Behavior Checklist. European
Journal of Child Adolescent Psychiatry, 9, 271-276.
Kochenderfer-Ladd, B. J., & Wardrop, J. L. (2001). Chronicity and instability of
children's peer victimization experiences as predictors of loneliness and social
satisfaction trajectories. Child Development, 72, 134-151.
Kochenderfer, B. J., & Ladd, G. W. (1996). Peer victimization: cause or consequence
of school maladjustment? Child development, 67, 1305-1317.
Lamarche, V., Brendgen, M., Boivin, M., Vitaro, F., Perusse, D., & Dionne, G.
(2006). Do friendships and sibling relationships provide protection against
peer victimization in a similar way? Social Development, 15, 373-393.
Maes, S., Leventhal, H., & deRidder, D. T. D. (1996). Coping with chronic diseases.
In M. Zeider & N. Endler (Eds.), Handbook of coping: Theory, research,
applications (pp. 728). Oxford, England: John Wiley & Sons.
Monks, C. P., Smith, P. K., & Swettenham, J. (2003). Bullying in infant classes:
Roles taken, stability and relationship to sociometric status. Merrill Palmer
Quarterly, 49, 453-469.
Murray-Close, D., Ostrov, J. M., & Crick, N. R. (2007). A short-term longitudinal
study of growth of relational aggression during middle childhood: Association
with gender, friendship intimacy, and internalising problems. Development
and Psychopathology, 19, 187-203.
29
Olweus, D. (1978). Aggression in the schools: Bullies and whipping boys. New York:
John Wiley and Sons, Inc.
Olweus, D. (1993). Bullying at school: What we know and what we can do. In.
Oxford: Blackwell Publishers.
Olweus, D. (1999). Norway. In P. K. Smith, Y. Morita, J. Junger-Tas, D. Olweus, R.
Catalano & P. Slee (Eds.), The nature of school bullying: A cross-national
perspective (pp. 28-48). London: Routledge.
Ostrov, J. M., & Keating, C. F. (2004). Gender differences in preschool aggression
during free play and structured interactions: An observational study. Social
Development, 13, 255-277.
Pellegrini, A. D., & Bartini, M. (2001). Dominance in early adolescent boys:
Affiliative and aggressive dimensions and possible functions. Merrill-Palmer
Quarterly, 47, 142-163.
Pellegrini, A. D., Bartini, M., & Brooks, F. (1999). School bullies, victims, and
aggressive victims: factors relating to group affiliation and victimization in
early adolescence. Journal of Educational Psychology, 91, 216-224.
Pellegrini, A. D., & Long, J. D. (2002). A longitudinal study of bullying, dominance
and victimization during the transition from primary school through secondary
school. British Journal of Developmental Psychology, 20, 259-280.
Perry, D. G., Kusel, S. J., & Perry, L. C. (1988). Victims of Peer Aggression.
Developmental Psychology, 24, 807-814.
Schäfer, M., & Albrecht, A. (2004). Tit for tat: Prevalence and stability of aggression
and bullying in primary school settings. Psychologie in Erzichung und
Unterricht, 51, 136-150.
30
Schäfer, M., Korn, S., Brodbeck, F. C., Wolke, D., & Schulz, H. (2005). Bullying
roles in changing contexts: The stability of victim and bully roles from
primary
to
secondary
school.
International
Journal
of
Behavioral
Development, 29, 323-335.
Schuster, B. (1996). Rejection, exclusion, and harassment at work and in schools: an
intergration of results from research on mobbing, bullying and peer rejection.
European Psychologist, 1, 293-309.
Smith, P. K., & Levan, S. (1995). Perceptions and experiences of bullying in younger
pupils. British Journal of Educational Psychology, 65, 489-500.
Smith, P. K., Shu, S., & Madsen, K. (2001). Characteristics of victims of school
bullying: Developmental changes in coping strategies and skills. In J. Juvonen
& S. Graham (Eds.), Peer harassment in school: The plight of the vulnerable
and victimized (pp. 440). New York: Guilford Press.
Smith, P. K., Talamelli, L., Cowie, H., Naylor, P., & Chauhan, P. (2004). Profiles of
non-victims, escaped victims, continuing victim and new victims of school
bullying. British Journal of Educational Psychology, 74, 565-581.
Sourander, A., Helstela, L., Helenius, h., & Piha, J. (2000). Persistence of bullying
from Childhood to adolescence - a longitudinal 8 year follow-up study. Child
Abuse & Neglect, 24, 873-881.
Sutton, J., Smith, P. K., & Swettenham, J. (1999). Bullying and 'theory of mind': A
critique of the 'social skills deficit' view of anti-social behaviour. Social
Development, 8, 117-127.
Warman, D. M., & Cohen, R. (2000). Stability of aggressive behaviours and
children's peer relationships. Aggressive Behaviour, 26, 277-290.
31
Whitney, I., & Smith, P. K. (1993). A survey of the nature and extent of bullying in
junior/middle and secondary schools. Educational Research, 35 3-25.
Wolke, D., Ratschinski, G., Ohrt, B., & Riegel, K. (1994). The cognitive outcome of
very preterm infants may be poorer than often reported: An empirical
investigation of how methodological issues make a big difference. European
Journal of Pediatrics, 153, 906-915.
Wolke, D., Söhne, B., Ohrt, B., & Riegel, K. (1995). Follow-up of preterm children:
important to document dropouts. The Lancet, 345, 447.
Wolke, D., Söhne, B., Riegel, K., Ohrt, B., & Österlund, K. (1998). An
epidemiological study of sleeping problems and feeding experience of preterm
and fullterm children in South Finland: Comparison to a South German
population sample. Journal of Pediatrics, 133, 224-231.
Wolke, D., & Stanford, K. (1999). Bullying in school children. In D. Messer & S.
Millar (Eds.), Developmental Psychology (pp. 341-360). London: Arnold
Publisher.
Wolke, D., Woods, S., Bloomfield, L., & Karstadt, L. (2000). The association
between direct and relational bullying and behaviour problems among primary
school children. The Journal of Child Psychology and Psychiatry, 41, 9891002.
Wolke, D., Woods, S., Bloomfield, L., & Karstadt, L. (2001a). Bullying involvement
in primary school and common health problems. Archives of Disease in
Childhood, 85, 197-201.
Wolke, D., Woods, S., Schulz, H., & Stanford, K. (2001b). Bullying and victimisation
of primary school children in England and Germany: Prevalence and school
factors. British Journal of Psychology, 92, 673-696.
32
Woods, S., & Wolke, D. (2003). Does the content of anti-bullying policies inform us
about the prevalence of direct and relational bullying behaviour in primary
schools? Educational Psychology, 23, 381-401.
Woods, S., & Wolke, D. (2004). Direct and relational bullying experience among
primary school children and academic achievement. Journal of School
Psychology, 42, 135-155.
33
Figure 1. The relative risk for the stability of direct victimisation
Baseline (time 1)
Follow-up (time 2)
N: 37 (38.1%)
Victim
Victim
N: 97
N: 104
N: 60 (61.9%)
N: 67 (20.0%)
Not victim
Not victim
N: 335
N: 268 (80.0%)
34
N: 328
Figure 2. The relative risk for the stability of direct victimisation for girls
Baseline (time 1)
Follow-up (time 2)
N: 21 (47.7%)
Victim
Victim
N: 44
N: 54
N: 23 (52.5%)
N: 33 (19.2%)
Not victim
Not victim
N: 172
N: 139 (60.2%)
35
N: 162
Figure 3. The relative risk for the stability of relational victimisation
Baseline (time 1)
Follow-up (time 2)
N: 11 (24.4%)
Relational
Victim
N: 45
Relational
Victim
N: 34 (75.6%)
N: 119
N: 97 (25.1%)
Not
relational
Victim
Not
relational
victim
N: 290 (74.9%)
N: 387
N: 342
36
Table 1. Final logistic regression models for remaining and escaping direct victimisation (Backward Stepwise Method)
odds ratio
95% C.I. for Exp (B)
B
S.E.
Wald
df
Sig
Exp (B)
Lower
Upper
1.64
.64
6.45
1
.01
5.14
1.45
18.17
.22
.10
4.47
1
.03
1.24
1.02
1.52
Remains direct
victim vs. escaped
(N =52)
Gender (male)
peer liked
nominations
37
Table 2. Final logistic regression models for remaining and escaping relational victimisation (Backward Stepwise Method).
odds ratio
95% C.I. for Exp (B)
B
S.E.
Wald
df
Sig
Exp (B)
Lower
Upper
Peer hierarchies
.69
.31
4.87
1
.03
2.00
1.08
3.70
Emotional health
problems
.59
.32
3.5
1
.06
1.81
.97
3.36
-.07
.04
3.35
1
.06
.93
.87
1.01
Become relational
victim vs. remain
non-victim (N =
234)
(at least 1 problem)
peer disliked
nominations
38