extending the spectrum idea: child personality, parenting and psychopathology
TRANSCRIPT
Extending the Spectrum Idea: Child Personality,Parenting and Psychopathology
KARLA G. VAN LEEUWEN*, IVAN MERVIELDE, BARBARA J. DE CLERCQ andFILIP DE FRUYT
Department of Developmental, Personality and Social Psychology, Ghent University, Ghent,Belgium
Abstract
The spectrum hypothesis, postulating that differences between referred and non-referred
samples are confined to mean level differences, is elaborated by exploring whether the
covariation between child problem behaviour and its predictors—child personality and
parenting, rated by mothers—is similar in referred (N¼ 205) and non-referred (N¼ 596)
children and whether personality by parenting interactions can be generalized across
samples. Results showed significant mean level differences for all the variables. Both
personality and parenting explained problem behaviour, with some differences in strength
of the effects across samples. Parenting by personality interactions mainly predicted
externalizing behaviour, with benevolence and conscientiousness as the most prominent
moderators. Results confirmed that moderators of problem behaviour operate similarly in
the two samples, thus corroborating the spectrum hypothesis. Copyright # 2006 John
Wiley & Sons, Ltd.
Key words: parenting; child personality; spectrum hypothesis
INTRODUCTION
In research on psychopathology, researchers are still struggling with the question whether
differences between normal and abnormal or clinical samples can be conceived as mainly
qualitative or rather quantitative (Cole & Baker, 2004; Widiger & Samuel, 2005). This
issue is particularly pertinent for research on personality disorders (Livesley & Jang, 2005;
Widiger & Frances, 2002). One of the ways to conceptualize the relationships between
‘normal’ personality variation and psychopathology is referred to as the ‘spectrum
association’ hypothesis (Shiner & Caspi, 2003), which postulates that a disorder is not a
discrete taxon, but rather represents the extreme endpoints of a continuously-distributed
European Journal of Personality
Eur. J. Pers. 21: 63–89 (2007)
Published online 24 November 2006 in Wiley InterScience
(www.interscience.wiley.com). DOI: 10.1002/per.598
*Correspondence to: Karla G. Van Leeuwen, Department of Developmental, Personality and Social Psychology,Ghent University, H. Dunantlaan 2, B—9000 Ghent, Belgium. E-mail: [email protected]
Contract/grant sponsor: Flemish Community; contract/grant number: bel96/32.
Copyright # 2006 John Wiley & Sons, Ltd.
Received 24 January 2006
Accepted 10 May 2006
personality dimension or cluster of dimensions (Widiger & Clark, 2000). Recent research
on the relationships between (normal, adaptive) personality dimensions and (abnormal,
maladaptive) personality disorders (Costa & Widiger, 2002) provides evidence for this
continuity or spectrum model. The concept of psychopathy in youth, for example, seems to
be best approached as a particular pattern of normal personality dimensions, rather than a
qualititatively distinct trait (Salekin & Frick, 2005). O’Connor (2002) showed that the
dimensional universes that capture the variance of popular measures of personality and
psychopathology are indeed very similar for clinical and non-clinical populations. Hence if
there are no structural or qualitative differences between clinical and non-clinical samples,
what differentiates clinical from non-clinical samples are mainly mean level differences.
Extending the spectrum hypothesis
The classic formulation of the spectrum hypothesis usually postulates that non-clinical and
clinical samples can be located on the same set of continuous variables as partially
overlapping distributions with a different mean (see Table 1, level 1). The spectrum
hypothesis is further elaborated, when the similarity of the dimensional structure and other
psychometric properties of measures is tested in clinical and non-clinical samples (see
Table 1, level 2). However, this line of reasoning can be extended from the
conceptualization of problem behaviour towards the formulation of theories about the
variables that are associated with problem behaviour. If one agrees that the structure of
problem behaviour in clinical and non-clinical samples can be described by the same set of
dimensions, the next question arising is whether the covariation between problem
behaviour and its predictors is similar in clinical and non-clinical samples (see Table 1,
level 3). This question extends the spectrum hypothesis to include the requirement of
similar covariation among independent and dependent variables and hence verifies whether
the same theoretical relationships apply to clinical and non-clinical samples. Differences
between clinical and non-clinical samples regarding the covariation between independent
variables and problem behaviour can be further differentiated in two types: differences in
strength of the relationship (quantitative differences) and differences in the nature of the
relationship (qualitative differences). Suppose that a theory specifies a positive relationship
between negative parenting behaviour and externalizing behaviour. The extended version
Table 1. Different levels for testing the spectrum hypothesis
Target Basic research question
Level 1 Means Differences in means between referredand non-referred samples?
Level 2 Structure, validity,and reliability
Differences in psychometric propertiesof measures between referred andnon-referred samples?
Level 3 Covariation Differences in (a) the nature, and (b) thestrength of the covariation amongindependent and dependent variablesbetween referred and non-referred samples?
Level 4 Moderation and Mediation Differences in (a) the nature, and (b) thestrength of moderating and mediatingrelationships between referred andnon-referred samples?
Copyright # 2006 John Wiley & Sons, Ltd. Eur. J. Pers. 21: 63–89 (2007)
64 K. G. Van Leeuwen et al.
of the spectrum hypothesis postulates that the relationship between parenting and
externalizing does not depend on the type of sample. In the case that a test shows that this
relationship depends on the sample, it can be stronger (or weaker) in a clinical than in a
non-clinical sample, hence reflecting a difference in strength. However, the parenting-
externalizing relationship could also be present (significant) in the clinical sample but not
in a non-clinical sample or even positive in a clinical sample and negative in a non-clinical
sample. In this last case the parenting-externalizing relationship is qualitatively different in
both samples.
Theories of problem behaviour do not only specify correlations among variables but
often include variables that mediate or moderate the relationship between independent and
dependent variables. The parenting-externalizing relationship can be moderated by (or
depend on) the personality of the child, or parenting can be conceived as a mediator of the
relationship between child personality and externalizing behaviour. Following the same
reasoning, tests of the spectrum hypothesis can also be extended to include tests of
moderator and mediator effects in clinically referred and non-referred samples (see Table 1,
level 4). Statistically, for moderating effects this boils down to a test of a three-way
interaction between child personality, parenting and sample (clinically referred vs. non-
referred). Hence a test of the generalizability of moderator effects across clinical and non-
clinical samples provides an even more stringent test of the spectrum hypothesis.
Rationale for the choice of predictor and outcome variables
Previous research investigating person-environment interactions primarily focused on the
child’s temperament or various specific personality characteristics, instead of relying on a
comprehensive personality taxonomy, such as the Five-FactorModel (FFM). Temperament
traits are believed to capture a broad range of individual differences in infancy, but those
differences constitute only a subset of personality differences in later childhood and
adulthood (Shiner & Caspi, 2003). Although from a theoretical point of view temperament
and personality can be distinguished, because temperament is presumed to be more
determined by biological or genetic factors, the empirical evidence for this distinction is at
best mixed. Several authors have argued and shown that the traditional dimensions of
temperament are closely related to the dimensions of the Five Factor Model (Mervielde &
Asendorpf, 2000; Shiner, 1998; Shiner & Caspi, 2003). For example, the temperamental
trait Surgency is related to Extraversion, Negative affectivity is connected with
Neuroticism, Effortful control can be linked to Conscientiousness (Rothbart & Putnam,
2002), and Withdrawal is related to the personality trait of Neuroticism (Nigg, 2006). As
Caspi, Roberts, and Shiner (2005, p. 454) note ‘temperament and personality traits
increasingly appear to be more alike than different’. Moreover, adopting a FFM personality
framework for the study of person-environment interactions extends classic temperament
based research, because there is growing evidence for developmental continuity between
the adult ‘Big Five’ dimensions and child personality structure, from preschool age through
adolescence (Caspi et al., 2005). For example, cross-cultural studies of parents’ free
descriptions of their own children’s personality revealed substantial support for the
relevance of the five factor structure as a cross-culturally valid model for describing
individual differences in childhood (Kohnstamm, Halverson, Mervielde, & Havill, 1998).
The five broad dimensions of the FFM are commonly labelled as: Neuroticism (the extent
to which the world is experienced as distressing or threatening), Extraversion (the extent to
which the person actively engages the world or avoids social experiences), Openness to
Copyright # 2006 John Wiley & Sons, Ltd. Eur. J. Pers. 21: 63–89 (2007)
Extending the spectrum hypothesis 65
experience (the quality and depth of a person’s mental and experiential life), Agreeableness
(a continuum ranging from warmth and compassion to antagonism) and Conscientiousness
(the extent and strength of impulse control) (Caspi et al., 2005). Several studies provide
evidence for relationships between child or adolescent problem behaviour and
temperament or personality dimensions. The temperamental disposition ‘lack of control’
has been associated with externalizing behaviour, such as hyperactivity and attention
problems, antisocial behaviour and conduct disorder (Caspi, Henry, McGee, Moffitt, &
Silva, 1995). Children with externalizing problems tend to score lower on both effortful
control and on involuntary control (Eisenberg et al., 2001). Agreeableness has been linked
to externalizing problems in non-clinical and clinical samples of children and adolescents
(John, Caspi, Robins, Moffitt, & Stouthamer-Loeber, 1994). Flat affect, passivity and
behavioural inhibition have been identified as contributing to internalizing problems
(Caspi et al., 1995). Neuroticism has been associated with both anxiety and depression
(Millikan, Wamboldt, & Bihun, 2002). A recent review of studies on personality-
psychopathology relationships in childhood and adolescence postulates the following
pattern of associations: low Agreeableness and Conscientiousness are related to CBCL
externalizing behaviour, whereas high Neuroticism and low Extraversion are typical
correlates of internalizing behaviour (Mervielde, De Clercq, De Fruyt, & Van Leeuwen,
2005).
Relatively few examples of interaction effects are reported in the empirical literature,
despite their theoretical importance (Rothbart & Putnam, 2002), and most studies include
temperament to characterize child individual differences. For example, a study of
Oldehinkel, Veenstra, Ormel, deWinter, and Verhulst (2006) showed that parental rejection
increases the relationship between fearfulness and depressive problems in girls, whereas
emotional warmth protects frustrated children from developing internalizing behaviour.
Few studies have examined child problem behaviour as depending jointly on a Five
Factor Model measure of child personality and parenting. O’Connor and Dvorak (2001)
found that specific combinations of personality characteristics and parenting variables
operate as protective or risk factors and hence that parental behaviours only matter for
some kinds of children but not for others. Prinzie et al. (2003) showed that children rated
high on benevolence are shielded from the negative effects of maternal or paternal
overreactivity (the tendency by parents to respond with irritation and/or anger to
problematic behaviour of their children). Children rated low on conscientiousness were
primarily at risk for externalizing problems when exposed to coercive parental behaviour.
Van Leeuwen, Mervielde, Braet, and Bosmans (2004) found evidence for significant
interactions between benevolence and parental negative control, and between
conscientiousness and parental negative control in the prediction of externalizing
behaviour. These interactions were replicable across judges (parental vs. child ratings of
parental behaviour) and across time (a 3-year interval). In addition, the interactions
measured at time one predicted time two externalizing behaviour.
Research linking parenting and child adjustment consistently refers to two primary
parenting dimensions comprising related parental behaviours: (a) Parental support (or
responsiveness) describing the affective nature of the parent-child relationship and
including parental behaviours like involvement, showing interest in the child; (b) Control
(or demandingness) referring to parental efforts to influence the child’s behaviour, by
setting rules and enforcing standards of behaviour (Gallagher, 2002; Maccoby & Martin,
1983). Most studies focus on the negative aspects of parenting, such as coerciveness or
restrictive control, as risk factors for maladaptive child behaviour. However, it is equally
Copyright # 2006 John Wiley & Sons, Ltd. Eur. J. Pers. 21: 63–89 (2007)
66 K. G. Van Leeuwen et al.
important to examine beneficial parenting skills, fostering child adjustment because they
may protect the developing child against emotional and behavioural problems. The present
study includes both a more supportive component of parenting and a restrictive control
dimension.
Whereas the literature regarding parenting by child characteristics interactions
predominantly focuses on externalizing behaviour as the dependent variable, the current
study includes both internalizing and externalizing behaviour as outcome variables.
Previous research suggests a differential pattern of associations between child personality
and parenting on the one hand, and internalizing and externalizing behaviour on the other
hand (Van Leeuwen et al., 2004). Moreover, one of the features of the spectrum model is
the focus on the higher-order structure of phenotypic psychopathology and on broadband
measures of antecedents. Internalizing and externalizing behaviour have been consistently
identified as two common broadband childhood psychopathology factors (Mervielde et al.,
2005).
The present research
In sum, the present study extends previous research through (a) the use of broad-band
personality dimensions to measure child characteristics, that is the Five-Factor Model,
(b) the inclusion of both a support and a restrictive control dimension of parenting, (c) the
choice of both externalizing and internalizing behaviour as the outcome variables, (d) the
assessment of the continuity of moderator effects across referred and non-referred samples
of children. Moreover, the present study assesses moderator effects with the samemeasures
(child personality, parenting and problem behaviour rated by mothers) in both a large
community sample and a sample with children referred to a clinical setting. This allows for
a more sensitive test of moderator effects because it extends the range of values and in
particular the frequency of extreme cases (McClelland & Judd, 1993). Finally, the present
study aims to investigate the spectrum hypothesis and the proposed extensions. First, we
examine mean level differences in parenting and child personality in the two samples.
Taking into account previous research results, we hypothesize that children in the referred
group will display lower levels of benevolence, conscientiousness, emotional stability,
extraversion and imagination. As regards parental behaviour, we expect mothers of
referred children to report more negative control and less positive parental behaviour.
Second, we investigate whether parenting and personality as predictors of internalizing and
externalizing behaviour differ in the two samples. This is accomplished by testing
personality by group and parenting by group interactions in hierarchical multiple
regression analysis, beyond what is predicted by the main effects of personality, parenting
and group. From previous research (Prinzie et al., 2003; Van Leeuwen et al., 2004) we
primarily expect parenting by personality interactions for externalizing behaviour, in
particular between maternal negative control and benevolence or conscientiousness. Each
of the five personality dimensions was included in the analyses because there are only a few
studies investigating interactions with the five personality dimensions of the FFM, that still
need to be replicated.
Third, we examine the role of personality by parenting interactions in the prediction of
problem behaviour and whether these interactions differ for the two groups. In line with the
spectrum hypothesis, it is hypothesized that personality by parenting interactions will not
differ significantly in the referred and non-referred group. If the child personality by
Copyright # 2006 John Wiley & Sons, Ltd. Eur. J. Pers. 21: 63–89 (2007)
Extending the spectrum hypothesis 67
parenting interaction does not depend on the sample, the differences between the two
samples can be conceived as quantitative.
METHOD
Participants
The clinically referred sample consists of 205 mothers and children, the latter were in
psychological or psychiatric treatment at the time they were enrolled as participants in the
study. Children in the sample are 118 boys and 87 girls, 5 to 14 years old (M¼ 9.9,
SD¼ 1.9). The major difference with the non-referred group is that the clinically referred
sample consists of children receiving professional help because of interference of
psychological problems with their own daily functioning or the functioning of people in
their environment (parents, teachers).
Based on the information provided during the intake interview, the children were
assigned to the following broad diagnostic categories: 24.9% manifested externalizing
behaviour, such as lying, aggression and temper tantrums, 21.0% showed anxiety/
depression symptoms, 15.6% suffered from adjustment problems due to major life
stressors, such as divorce or decease of a parent, 11.2% exhibited developmental disorders
such as attention deficit hyperactivity disorder, Tourette syndrome or autism, 9.3%
reported attention or concentration problems, 8.3% presented withdrawn behaviour or
deficits in social skills, 6.8% were referred for eating/sleeping/psychosomatic problems,
1% displayed obsessive/compulsive behaviour, and finally, 0.5% was referred for suicide
attempt or self-injurious behaviour. For 1.5% of the children there was no information
available about the specific reason for psychological counselling. The period of
psychological treatment ranged from 0 to 56 months, with a mean period of 10 months
(SD¼ 10.13).
An examination of educational level showed that 1.49% of the mothers and 2.56% of the
fathers only attended elementary school or special education, 53.23% of the mothers and
54.87% of the fathers completed secondary education, 37.81% of the mothers and 29.23 of
the fathers finished higher education, and 7.46% of the mothers and 13.33% of the fathers
obtained a university degree. This kind of information was not available for 4 mothers and
10 fathers.
The non-referred sample of children is part of a longitudinal study investigating
parenting, personality characteristics and children’s problem behaviour. Subjects were
mothers (N¼ 596) and one of their children aged 7 to 15. The 276 boys and 320 girls, had a
mean age of 10.9 (SD¼ 1.9; range 7–15). Educational levels for both mothers and fathers
are representative for parents in the provinces East and West Flanders: the highest attained
level of education was elementary school or special education for 4.54% of the mothers and
3.93% of the fathers, 57.14% of the mothers and 53.37% of the fathers completed
secondary education, 29.58% of the mothers and 29.40% of the fathers finished higher
education, and 8.74% of the mothers and 13.30% of the fathers obtained a university
degree.
A comparison between referred and non-referred children showed significant
differences in gender and age. The non-referred group included 46.3% boys and the
clinical group 57.6% (x2 (1)¼ 7.73, p¼ 0.005). The mean age of the non-referred children
Copyright # 2006 John Wiley & Sons, Ltd. Eur. J. Pers. 21: 63–89 (2007)
68 K. G. Van Leeuwen et al.
was 10.96 whereas that of the referred group was 9.95, with F(1,799)¼ 47.25, p< 0.001.
Therefore, age and gender will be entered as control variables in further analyses. A
comparison of the curriculum in secondary school (vocational, technical and general
education) of the children in the referred and non-referred groups showed no significant
difference in educational level (x2 (2)¼ 2.51, p¼ 0.285).
Measures
Parental behaviour
Two parenting dimensions, that is positive parenting and negative control, were measured
with the Ghent Parental Behavior Scale (GPBS, Van Leeuwen & Vermulst, 2004). This
self-report measure is based on concepts from Social Learning Theory (Capaldi &
Patterson, 1989; Patterson, Reid, & Dishion, 1992), organizing parenting into well-defined
constructs derived from observable parental behaviour. Subjects rate the frequency of
behavioural items on a 5-point Likert scale ranging from ‘never’ to ‘always’. Validation of
a pilot version of the GPBS led to the conclusion that the five hypothesized constructs
(positive involvement, monitoring, problem solving, structure and positive reinforcement)
appeared to be too heterogeneous. Refinement of the constructs resulted in a new
questionnaire with nine scales: Autonomy, Discipline, Positive parental behaviour, Harsh
punishment, Monitoring, Rules, Ignoring unwanted behaviour, Material rewarding, and
Inconsistent discipline. Factor analyses with oblique rotation showed evidence for two
higher-order factors: ‘positive parenting’ (consisting of the scales positive parental
behaviour, teaching rules and autonomy), and ‘negative control’ (consisting of the scales
discipline, ignoring of unwanted behaviour and harsh punishment) (Van Leeuwen et al.,
2004; Van Leeuwen & Vermulst, 2004). Cronbach alpha’s in the present sample equaled
0.86 for positive parenting and 0.79 for negative control; the correlation between Positive
parenting and Negative control was �0.01 (n.s.) in the non-referred sample and 0.02 (n.s.)
in the referred sample.
Child personality
The Hierarchical Personality Inventory for Children (HiPIC; Mervielde & De Fruyt, 1999)
comprises items that describe the normal range of child personality related behaviour. Five
broad personality domains are measured, dispersed over 18 facets that are hierarchically
organized under the five domains, that is Extraversion (partitioned in the facets Shyness,
Optimism, Expressiveness, Energy), Benevolence (also known as Agreeableness; further
divided into Egocentrism, Irritability, Compliance, Dominance, Altruism), Conscientious-
ness (split into Achievement motivation, Concentration, Perseverance, Orderliness),
Emotional Stability (divided into Anxiety and Self-confidence) and Imagination (also
known as Openness to experience; partitioned into Creativity, Curiosity and Intellect).
Mothers rated the 144 items on 5-point Likert scales. The factor structure of the HiPIC
proves to be highly replicable across both childhood and adolescence (Mervielde & De
Fruyt, 2002). In the present study we obtained Cronbach alpha’s of 0.95 for Benevolence
(N of items¼ 40), 0.94 for Conscientiousness (N of items¼ 32), 0.89 for Emotional
Stability (N of items¼ 16), 0.91 for Extraversion (N of items¼ 32) and 0.91 for
Imagination (N of items¼ 24). The correlations between the personality variables are
modest in size, with a mean correlation of 0.21.
Copyright # 2006 John Wiley & Sons, Ltd. Eur. J. Pers. 21: 63–89 (2007)
Extending the spectrum hypothesis 69
Child problem behaviour
The Dutch version of the Achenbach Child Behavior Checklist (CBCL; Verhulst, Van der
Ende, & Koot, 1996) assesses behavioural and emotional problems in children. Mothers
rated the frequency of 113 problematic behaviours on a 3-point Likert scale. Two
broadband syndromes can be derived from CBCL scores: Internalizing, with items
referring to somatic complaints, social withdrawal, and anxiety/depression; and
Externalizing, including items indexing aggression, hyperactivity, and delinquency. For
Internalizing behaviour (N of items¼ 31) the value of Cronbach’s alpha was 0.89, for
Externalizing behaviour (N of items¼ 33) was 0.92.
Procedure
Third year psychology students were instructed to enlist clinically referred children with
emotional or behavioural problems as part of an assignment for the advanced course on
Personality Psychology at the Ghent University. The students randomly contacted a
psychologist or a psychiatrist, working in outpatient general Mental Health Centers,
Centers for School Counseling, Psycho-medical centers for children with developmental
and learning disorders, psychiatric clinics, private psychotherapy services, or pediatric
units of a hospital. These centres were geographically spread across the Dutch-speaking
region of Belgium. The psychologist or psychiatrist randomly selected one of their clients
to participate in the study. Another child was randomly selected when parents refused to
collaborate.
Exclusion criteria were the presence of a physical disability or a condition of chronic
disease. Written informed consent was given by the psychologist or psychiatrist as well as
by the parents of the children. Students visited the families at home and asked mothers to
complete the CBCL, the HiPIC and the GPBS.
Non-referred children were recruited via randomly selected elementary and secondary
schools. For elementary schools the sample was stratified by province, (East and West
Flanders), region (rural or urban), school type (public/private/catholic schools) and grade
(third, fourth, fifth and sixth year of elementary school). For secondary schools, sampling
was based on province (East and West Flanders), type of curriculum (vocational, technical
and general education) and grade (first and second year of secondary school). A letter
addressed to the parents informed them about the goal and the procedures of the research
project. A trained psychology student, who instructed the family members to
independently complete a series of questionnaires, visited families at home. Both parents
filled out the HiPIC, GPBS and CBCL. In the present study, we only focus on the ratings
provided by the mothers, to enable a joint analysis with the data supplied by the mothers of
the referred group of children.
Statistical analyses
Classic ANOVA’s were carried out in order to check for mean-level differences of group
(clinically referred vs. non-referred children) and gender, and group by gender interactions.
These analyses were primarily carried out to verify whether it would be necessary to
include interactions between gender and the other variables in the hierarchical multiple
regression analyses.
Hierarchical multiple regression analyses (HMRA) were conducted to test the main
hypotheses. Several ‘functional sets’, that is groups of independent variables grouped for
Copyright # 2006 John Wiley & Sons, Ltd. Eur. J. Pers. 21: 63–89 (2007)
70 K. G. Van Leeuwen et al.
logical reasons, are included in different steps of the HMRA (Cohen, Cohen, West, &
Aiken, 2003). Gender and age were consistently entered in Step 1 as control measures. In
Step 2, we entered ‘group’ as a variable, one of the five child personality domains
(Benevolence, Conscientiousness, Emotional Stability, Extraversion or Imagination), and
one of the two parenting dimensions (Negative control or Positive parenting). This step
enables us to investigate independent effects of group, personality and parenting variables.
In Step 3, we entered the interactions between the three predictor variables, that is,
personality by parenting, personality by group and parenting by group. The first interaction
tests whether the effects of parenting depend on child personality (or vice versa) in the
prediction of problem behaviour. The personality by group and parenting by group
interactions indicate to what extent the relationship between personality or parenting and
problem behaviour is different for the clinical and the non-referred group. In step 4, a 3-
way interaction term was entered, that is, personality by parenting by group. A significant
three-way interaction term indicates that the parenting by personality interaction is
different for the clinical and the non-referred groups. That is, it verifies whether the
parenting by child personality interaction depends on or can be generalized across
the referred and the non-referred samples. For testing and interpretation of interactions, we
followed the guidelines by Aiken and West (1991) and Cohen et al. (2003). We applied the
step-down procedure proposed by Aiken and West (1991, p. 105) and dropped non-
significant interactions because strong theoretical grounds for expecting an interaction
were lacking.
The methodology of this study meets some important conditions to enhance the
probability of detecting person-environment interactions, which is difficult in population
samples, because they require substantial variation in both the person and environmental
variables (Rutter et al., 1997). First, in moderated multiple regression research, sample size
is one of the most important single factors affecting power (Aguinis, 1995). In order to
produce a power of 0.80 for detecting small interaction effects, a sample size in the range of
752 and 1056 is needed, with estimated reliabilities of 0.80 for the predictors,
interpredictor correlations between 0 and 0.50 and a squared multiple correlation between
0.20 and 0.50 for the main effects of the predictor variables (Aiken &West, 1991, p. 164).
A possible solution for this problem is to oversample extreme observations of the predictor
variables (Deater-Deckard &Dodge, 1997; McClelland & Judd, 1993), which was realized
in the present study by supplementing a randomly drawn sample (N¼ 600) with a clinically
referred sample (N¼ 205). Both the large number of cases and the inclusion of more cases
at the extremes of the joint distribution of the predictor variables will increase the power for
detecting interaction effects. Second, it is crucial to have measures with good psychometric
properties. The measures used in this study have a solid factor structure and good internal
consistency with Cronbach’s alphas ranging from 0.79 to 0.95.
RESULTS
Mean level group and gender differences
Table 2 shows means, standard deviations and GLM analyses of variance. Significant main
effects of group were observed for each variable. Referred children had significantly higher
mean scores on both internalizing and externalizing problem behaviour compared to non-
referred children. They also scored significantly lower on the personality domains
Copyright # 2006 John Wiley & Sons, Ltd. Eur. J. Pers. 21: 63–89 (2007)
Extending the spectrum hypothesis 71
Table
2.
Category
meansandresultsofGLM
withgroupandgender
Non-referred
Referred
Boys
Girls
Boys
Girls
Group
Gender
GroupX
Gender
M(SD)
M(SD)
M(SD)
M(SD)
Fh2
Fh2
Fh2
Externalizing
9.01(7.65)
6.43(6.05)
16.99(11.24)
12.51(10.67)
112.68a
0.12
28.50a
0.03
2.06
0.00
Internalizing
8.09(6.84)
7.03(5.90)
12.87(8.62)
16.23(9.51)
143.99a
0.15
3.88c
0.00
14.40a
0.02
Benevolence
�0.75(2.71)
0.14(2.42)
�3.55(3.00)
�2.60(3.18)
156.33a
0.17
17.39a
0.02
0.02
0.00
Conscientiousness
12.45(2.63)
13.37(2.65)
10.77(2.61)
12.13(2.71)
45.35a
0.05
27.65a
0.03
1.04
0.00
Emotional
stability
0.58(1.35)
0.40(1.28)
�0.63(1.30)
�1.14(1.49)
160.24a
0.17
9.94b
0.01
2.22
0.00
Extraversion
8.15(2.20)
8.33(2.13)
7.23(2.19)
6.59(2.66)
53.49a
0.06
1.58
0.00
5.01c
0.01
Imagination
11.10(1.68)
11.00(1.80)
10.19(1.86)
10.60(1.91)
20.21a
0.03
1.21
0.00
3.01
0.00
Negativecontrol
2.10(0.52)
2.02(0.53)
2.20(0.42)
2.12(0.47)
6.02c
0.01
3.40
0.00
0.01
0.00
Positiveparenting
4.26(0.40)
4.26(0.38)
4.03(0.48)
4.01(0.45)
50.98a
0.06
0.26
0.00
0.15
0.00
Note:N
non-referredboys¼276,N
non-referredgirls¼320,N
referred
boys¼118,N
referred
girls¼87
ap�0.001;
bp�0.010;
cp�0.050.
Copyright # 2006 John Wiley & Sons, Ltd. Eur. J. Pers. 21: 63–89 (2007)
72 K. G. Van Leeuwen et al.
benevolence, conscientiousness, emotional stability, extraversion and imagination than the
children in the general population sample. As regards the parenting variables, the mothers
of the clinically referred children reported significantly more negative control and less
positive parental behaviour than the mothers of the non-referred children.
Significant gender effects were found for externalizing behaviour, with higher average
scores for boys. Boys scored significantly lower than girls on the personality domains
benevolence and conscientiousness, whereas girls scored significantly lower than boys on
emotional stability. The effect sizes ranged from 0.01 to 0.17 for the effect of group, and
from 0.01 to 0.03 for the effect of gender.
Two significant group by gender interaction effects were present. For internalizing
behaviour, the difference between boys and girls was greater in the referred than in the non-
referred group. For the personality domain extraversion, the difference between boys and
girls was greater in the referred than in the non-referred group.
Correlations
Pearson correlations between age and the independent variables for the total sample were
not substantial: Benevolence: r¼ 0.11 (p< 0.01), Conscientiousness: r¼�0.03 (p¼ n.s.),
Emotional stability: r¼ 0.14 (p< 0.001), Extraversion: r¼�0.02 (p< 0.01), Positive
parenting: r¼ 0.01 (p¼ n.s.), Negative control: r¼�0.04 (p¼ n.s.).
The absolute values of the zero-order correlations between parenting and personality
variables ranged between 0.03 and 0.31, with 8 out of 10 correlations being significant.
Because the size of these correlations is small to moderate, it can be concluded that the
variance of parenting and child personality measures is only partly shared and thus there is
a substantial amount of independence between the two measures.
Covariation of personality and child problem behaviour in referred
and non-referred children
Independent effects of personality
Table 3 reports, as part of the HMRA involving either maternal negative control (top panel)
or positive parenting (bottom panel), the independent effects of the five broad personality
domains on internalizing and externalizing problem behaviour. The results are entirely
consistent across the two panels. Benevolence is significantly related to externalizing and
to a lesser extent to internalizing behaviour, confirming previous research (John, Caspi,
Robins, Moffitt, & Stouthamer-Loeber, 1994; Krueger et al., 1994; Laursen, Pulkkinen, &
Adams, 2002), indicating a negative relationship between this personality factor and
problem behaviour. A similar pattern emerges for conscientiousness. Children scoring high
on this personality factor tend to have far fewer externalizing problems and less
internalizing problems. Taking into account the prominent role of emotional stability in the
development of adult psychopathology, it is important to notice that also for children and
adolescents this personality factor is significantly related to internalizing behaviour and to
a lesser extent to externalizing behaviour. Children rated low on emotional stability show
more internalizing behaviour. Extraversion, as expected, is significantly related to
internalizing behaviour, with lower levels of extraversion associated with higher levels of
internalizing, but not to externalizing problem behaviour. Finally, smaller but significant
and negative relationships of imagination with both internalizing and externalizing
behaviour can be noticed. From these analyses a clear and consistent pattern for the
Copyright # 2006 John Wiley & Sons, Ltd. Eur. J. Pers. 21: 63–89 (2007)
Extending the spectrum hypothesis 73
Table 3. Moderators of Child Problem Behaviour (HMRA)
Child Externalizing behaviour Child Internalizing behaviour
DF B DF B
Panel 1:Maternal negative controlSex, Age 22.96a �0.14b, 0.00 2.57 0.09, 0.01Group, BE, CON 271.21a 0.13c, �0.52a, 0.14a 57.07a 0.79a, �0.22a, 0.09c
BE�CON, GR�BE,GR�CON
19.70a �0.11a, �0.20a, 0.11 3.21c �0.08c, 0.15, �0.11
BE�CON�GR 0.01 1.60
Sex, Age 22.96a �0.20a, �0.02 2.57 0.07, 0.01Group, CO, CON 113.95a 0.53a, �0.28a, 0.20a 53.20a 0.90a, �0.19a, 0.11b
CO�CON, GR�CO,GR�CON
13.30a �0.08b, �0.03, 0.34a 4.58b �0.11b, 0.23b, 0.04
CO�CON�GR 1.24 6.67b 0.20b
Sex, Age 22.96a �0.33a, 0.00 2.57 �0.08, 0.03Group, ES, CON 77.72a 0.58a, �0.10c, 0.23a 185.95a 0.23b, �0.48a, 0.10b
ES�CON, GR�ES,GR�CON
12.45a .00, �.04, .47a 8.89b �.04, �.30a, .10
ES�CON�GR 0.09 0.33
Sex, Age 22.96a �0.30a, 0.00 2.57 0.01, 0.00Group, EX, CON 77.42a 0.75a, 0.05, 0.23a 90.84a 0.63a, �0.28a, 0.14a
EX�CON, GR�EX,GR�CON
11.03a �0.01, 0.06, 0.42a 2.10 �0.02, �0.17c, 0.01
EX�CON�GR 3.79 0.26
Sex, Age 22.96a �0.31a, �0.01 2.57 0.03, 0.00Group, IM, CON 78.68a 0.64a, �0.09c, 0.23a 55.18a 0.81a, �0.14a, 0.10b
IM�CON, GR� IM,GR�CON
11.87a �0.02, 0.07, 0.39a 1.42
IM�CON�GR 6.93b �0.19b 1.98
Panel 2: Maternal positive parentingSex, Age 22.82a �0.16b, 0.00 2.74 0.07, 0.01Group, BE, POS 246.01a 0.13, �0.58a, �0.04 55.67a 0.79a, �0.24a, �.09BE� POS, GR�BE,GR� POS
11.32a 0.08a, �0.23a, 0.11 2.52 0.04, .16c, 0.16c
BE� POS�GR 0.30 0.00
Sex, Age 22.82a �0.23a, �0.03 2.74 0.06, 0.00Group, CO, POS 80.25a 0.56a, �0.32a, �0.08c 50.66a 0.89a, �0.20a, �0.09c
CO� POS, GR�CO,GR� POS
3.38c 0.07c, �0.11, 0.09 4.90b 0.06, 0.25b, 0.14
CO� POS�GR 0.22 0.03
Sex, Age 22.82a �0.37a, �0.01 2.74 �0.10, 0.02Group, ES, POS 41.99a 0.70a, �0.11b, �0.15a 181.08a 0.25b, �0.51a, �0.15a
ES� POS, GR�ES,GR� POS
1.54 9.26a 0.11b, �0.27a, 0.16c
ES� POS�GR 0.00 4.82c �0.14c
Sex, Age 22.82a �0.35a, �0.01 2.74 0.00, �0.01Group, EX, POS 42.77a 0.85a, 0.07, �0.17a 84.25a 0.66a, �0.28a, �0.12b
EX� POS, GR�EX,GR� POS
2.31 0.03, 0.11, 0.16c 4.56b 0.06, �0.15c, 0.19b
EX� POS�GR 0.84 0.05
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74 K. G. Van Leeuwen et al.
relationships between personality and problem behaviour emerges. Benevolence and
conscientiousness are negatively related to externalizing behaviour and to a lesser extent to
internalizing behaviour. Emotional stability and extraversion are negatively related to
internalizing behaviour and emotional stability is to some extent related to externalizing
behaviour. Finally, children scoring high on imagination tend to present less internalizing
and externalizing problems although the size of this effect is small compared to the effects
of the four other broad-band personality factors.
Consistency of personality effects across referred and non-referred children
The HMR analyses reported in Table 3 show several significant group by personality
interactions, indicating differences in the strength of the relationship between personality
and problem behaviour in the referred and non-referred group (see Table 4). One group by
personality interaction is found with externalizing behaviour as the dependent variable,
that is for the personality domain benevolence. The slopes for the referred and non-referred
group are significant at p< 0.001, the shape of the slopes is similar, and the pattern (see
Figure 1, panel A) of the slopes is identical for analyses with negative control and positive
parenting included.
For four personality domains, an interaction with group is present in the prediction of
internalizing behaviour. The association between benevolence and internalizing behaviour
is significant in the non-referred group and not in the referred group, but only when positive
parenting is included in the analysis. For referred children it doesn’t seem to matter if they
are rated low or high on benevolence: in both cases they score high on internalizing
behaviour, whereas children in the non-referred group show more internalizing behaviour
when they are rated as less benevolent. A similar pattern is present for the
conscientiousness by group interaction: the T-value of the slope for referred children is
not significant (see Table 4). For the emotional stability by group and extraversion by group
interactions the slopes have identical shapes and are significant at p< 0.001. Children
scoring low on emotional stability or extraversion display more internalizing behaviour.
Strictly speaking the spectrum hypothesis postulates a continuum from normal to
abnormal personality and hence only mean level differences between clinical and non-
clinical samples are to be expected. When the slopes of the personality-problem behaviour
regression are significant in both referred and non-referred groups, similar relationships
Table 3. (Continued )
Child Externalizing behaviour Child Internalizing behaviour
DF B DF B
Sex, Age 22.82a �0.34a, �0.02 2.74 0.02, �0.01Group, IM, POS 43.89a 0.71a, �0.10b, �0.15a 52.04a 0.85a, �0.18a, �0.11b
IM� POS, GR� IM,GR� POS
2.70c 0.07c, �0.03, 0.15c 3.34c 0.06, 0.14, 0.16c
IM� POS�GR 0.90 1.44
Note. BE¼Benevolence; CO¼Conscientiousness; ES¼Emotional Stability, EX¼Extraversion; IM¼Imagination; POS¼Positive parenting; CON¼Negative control;ap� 0.0025;bp� 0.010;cp� 0.050.
Via a step-down procedure non-significant interactions were dropped, and therefore only steps with significant
coefficients are reported.
Copyright # 2006 John Wiley & Sons, Ltd. Eur. J. Pers. 21: 63–89 (2007)
Extending the spectrum hypothesis 75
emerge that tend to be somewhat stronger in one of the two groups, depending on the kind
of personality domain and the kind of parenting variable included. In some cases only the
slope for the non-referred children is significant, but it should be noted that in those
cases the interaction is only significant at the 0.05 or 0.01 significance level. From these
results it can be concluded that the majority of the group by personality interactions
indicate a personality-problem behaviour relationship that is similar in form but different in
strength.1
Covariation of parenting and child problem behaviour in referred
and non-referred children
Independent effects of parenting
Negative control as a dimension of parenting is strongly related to the degree of
externalizing behaviour and to a lesser extent to internalizing. As is evident from the
top panel of Table 3, more negative control is consistently related to higher levels of both
types of problem behaviour, irrespective of the effects of the personality variables. The
Table 4. Tests of significance of difference between simple slopes (T-values) for personality bygroup and parenting by group effects
T-values simple slopes
T-valuesInteractionReferred Non-referred
Dependent variable:Externalizing behavior
Third variable
Group�Benevolence with CON �14.55a �15.30a (�)3.34a
with POS �16.59a �16.39a (�)3.82a
Group�Negative control with CO �7.99a 6.16a (�)4.47a
with ES 9.81a 6.50a (�)5.84a
with EX 9.37a 6.69a (�)5.35a
with IM 9.38a 6.78a (�)5.35a
Group� Positive parenting with EX �0.11 �4.07a (�)2.19c
with IM �0.01 �3.59a (�)2.10c
Dependent variable: Internalizing behavior
Group�Benevolence with POS �1.26 �5.14a (�)1.96c
Group�Conscientiousness with CON 0.90 �4.61a (�)3.17b
with POS 0.75 �4.75a (�)3.17b
Group�Emotional stability with CON �13.88a �13.56a (�)4.60a
with POS �12.97a �13.83a (�)3.56a
Group�Extraversion with CON �7.62a �7.30a (�)2.36c
with POS �7.33a �7.13a (�)2.14c
Group� Positive parenting with BE 1.10 �2.04a (�)1.99c
with ES 1.52 �3.73a (�)3.17b
with EX 1.27 �2.92b (�)2.67b
with IM 0.85 �2.58b (�)2.20c
ap� 0.001.bp� 0.010.cp� 0.050.
1In order to check for suppression effects, we looked if parenting by personality interactions differed whenparenting by group interactions were tested separately from personality by group interactions. A few effects were(not) significant compared to the effects reported in Table 3 of the manuscript. Because these differences are verysmall, they are not indicative of suppression effects.
Copyright # 2006 John Wiley & Sons, Ltd. Eur. J. Pers. 21: 63–89 (2007)
76 K. G. Van Leeuwen et al.
bottom panel of Table 3 shows that higher levels of positive parenting are significantly
related to lower levels of internalizing and externalizing problems. However, the strength
of the effect depends on which personality domain is entered together with positive
parenting in the second step of the regression. For example, positive parenting does not
predict externalizing behaviour when it is entered together with benevolence or
conscientiousness. In the prediction of internalizing behaviour there is only a
considerable effect of positive parenting when it is entered together with emotional
stability. Overall the relationships of parenting with problem behaviour tend to be
weaker—indicated by the size of the regression coefficients in Table 3—than these of
personality variables reported in the previous section. Nevertheless the present results
confirm the expected positive relationship of negative control with child internalizing
and externalizing problems but in addition show the negative relationship between
supportive parenting and problem behaviour.
-1
-0,5
0
0,5
1
SD 1- mean SD 1+
Benevolence
gnizila
nretxE
referred
non-referred
-1,00
-0,50
0,00
0,50
1,00
SD 1- mean SD 1+
Emotional stability
gnizila
nretnI
referred
non-referred
Figure 1. Panel A: Interaction between Benevolence and Group predicting Externalizing behaviour. Interactionbetween Emotional Stability and Group predicting Internalizing behaviour.Note: The graphing of the interactions in Figure 1, Panel A is based on a HMRAwith Negative control included;the graphing of the interaction in Panel B is based on a HMRA with Positive parenting included.
Copyright # 2006 John Wiley & Sons, Ltd. Eur. J. Pers. 21: 63–89 (2007)
Extending the spectrum hypothesis 77
Consistency of parenting effects across referred and non-referred groups
The top panel of Table 3 illustrates that the strength of the relationship between negative
control and externalizing behaviour depends on the group. As shown in Table 4, negative
control is more strongly related to externalizing behaviour in the referred group than in
the non-referred group although the slopes for both groups are significant. The pattern of
the slopes is identical when conscientiousness, emotional stability, extraversion and
imagination are included in the analyses. Restrictive parenting generally predicts
externalizing behaviour for all children and adolescents but for referred children the
relationship is somewhat stronger. A group by positive parenting interaction in the
prediction of externalizing behaviour is present when extraversion and imagination are
included. Here the child’s externalizing behaviour in the referred group is high regardless
of the level of positive parenting displayed by the mother. In the non-referred group the
level of externalizing problems is higher for children receiving below mean positive
parenting.
In the prediction of internalizing behaviour, group by positive parenting interactions
are present, when benevolence, emotional stability, extraversion and imagination are
included in the analyses. Table 4 shows that positive parenting is related to internalizing
problems in the non-referred group, with more internalizing problems for children
receiving less positive parenting, whereas this relationship is virtually not present in
the referred group. The patterns of the slopes are identical in all analyses (see Figure 2,
panel B).
In general it can be concluded that the relationship between negative control and
externalizing behaviour is stronger in the referred group than in the non-referred group.
Positive parenting on the other hand is related to reduced internalizing and externalizing
behaviour for the non-referred children, but not for referred children.
Moderator effects of child personality in the relationship between parenting and
child problem behaviour
From Table 3 it can be seen that 8 out of 20 personality by parenting interactions are
significant.3 Benevolence and conscientiousness are the most prominent personality
variables interacting with parenting (6 significant interactions). Externalizing behaviour is
predicted by a benevolence� negative control interaction and a benevolence� positive
parenting interaction, whereas internalizing behaviour is predicted by a benevolen-
ce� negative control interaction. Figure 3 (Panel A) represents the benevolence by
negative control interaction predicting externalizing behaviour with significant slopes for
low (t¼ 6.17, p< 0.001) and mean (t¼ 5.08, p< 0.001) scores on benevolence and a non-
significant slope for high (t¼ 0.98, p< 0.328) scores on benevolence. Figure 3 (Panel B)
graphs the significant interaction of positive parenting with benevolence predicting
externalizing behaviour. Only the slope for low (t¼�2.79, p< 0.01) scorers on
benevolence is significant, not the slopes for mean (t¼�1.33, p< 0.183) and high
(t¼ 1.05, p< 0.292) scorers. The conscientiousness by negative control interaction
predicting externalizing behaviour has significant slopes for low (t¼ 6.25, p< 0.001),
mean (t¼ 6.16, p< 0.001) and high (t¼ 2.92, p< 0.01) scores on conscientiousness. For
the positive parenting interactions with conscientiousness predicting externalizing
behaviour, the slopes for low (t¼�3.00, p< 0.01) and mean (t¼�2.10, p< 0.05) scores
are significant, not for high (t¼�0.19, p¼ 0.847) scores.
Copyright # 2006 John Wiley & Sons, Ltd. Eur. J. Pers. 21: 63–89 (2007)
78 K. G. Van Leeuwen et al.
The interaction effect of negative control by benevolence predicting internalizing
behaviour has significant slopes for low (t¼ 4.40, p< 0.001) and mean (t¼ 3.28,
p< 0.001) scores on benevolence but not for high (t¼ 0.01, p¼ 0.988) scores on
benevolence. The conscientiousness by negative control interaction predicting internaliz-
ing behaviour, is of the same kind with significant slopes for low (t¼ 3.21, p< 0.001) and
mean (t¼ 2.76, p< 0.01) scores on conscientiousness but not for high (t¼ 0.85, p¼ 0.396)
scores on conscientiousness.
Apart from interactions including benevolence or conscientiousness, another two
personality variables were included in significant interactions with parenting. We found a
significant imagination by positive parenting interaction, predicting externalizing
behaviour, with significant slopes for children rated low (t¼�3.89, p< 0.001) or around
the mean (t¼�3.59, p< 0.001) on imagination, but not for children rated high (t¼�1.63,
p¼ 0.103) on imagination. Furthermore, there was an emotional stability by positive
parenting interaction, predicting internalizing behaviour, with significant slopes for low
(t¼�3.54, p< 0.001) and mean (t¼�3.73, p< 0.001) emotional stability, but not for
high scores on this domain (t¼�1.88, p¼ 0.060).
From the results it can be concluded that parenting by personality interactions are more
frequently predicting externalizing (five) than internalizing behaviour (three). Benevolence
is a prominent moderator variable, although it should be noted that only children rated low
or around the mean are at risk for problem behaviour, when also exposed to inadequate
parenting. Conscientiousness is also an important moderator of the effects of both
dimensions of parenting on externalizing behaviour. Children with high ratings on
benevolence, conscientiousness and imagination are protected against inadequate forms of
parenting.
Differences in parenting by personality interactions for referred
and non-referred children
Significant 3-way interactions indicate different parenting by personality interactions for
clinically referred and non-referred samples of children. Three significant 3-way
interactions on a total of 20 tested turned out to be significant. First, the imagination by
0,00
0,50
1,00
1,50
SD 1- mean SD 1+
Negative control
gnizila
nretxE
referred
non-referred
Figure 2. Interactions between Negative control and Group predicting Externalizing behaviour.Note: Figure 2 is based on a HMRA with Conscientiousness included.
Copyright # 2006 John Wiley & Sons, Ltd. Eur. J. Pers. 21: 63–89 (2007)
Extending the spectrum hypothesis 79
negative control interaction predicting externalizing behaviour is not significant for the
non-referred group, but only affects externalizing behaviour in the referred group of
children. Referred children scoring low on imagination are more at risk for externalizing
behaviour when they are also exposed to high levels of negative maternal control (t¼ 7.27,
p< 0.001), whereas referred children scoring high on imagination are protected against
externalizing behaviour, even when their mothers show high levels of negative control
(t¼ 2.81, p< 0.01). A significant conscientiousness by negative control interaction
predicting internalizing behaviour is only found in the non-referred group, with significant
slopes for low (t¼ 4.40, p< 0.001) and mean (t¼ 3.28, p< 0.001) levels, and not for high
levels of conscientiousness (t¼ 0.01, p¼ 0.988). A significant emotional stability by
positive parenting interaction predicting internalizing behaviour was only found in the non-
referred sample of children. Non-referred children scoring low (t¼�4.66, p< 0.001) or
around the mean (t¼�4.55, p< 0.001) on emotional stability are at risk for internalizing
behaviour when they are deprived from positive parenting. The slope for non-referred
children scoring high on emotional stability is not significant (t¼�1.02, p¼ 0.309).
-1,00
-0,50
0,00
0,50
1,00
1SD- Mean 1SD+
Negative control
gnizila
nretxE
1SD- BE
Mean BE
1SD+ BE
-1,00
-0,50
0,00
0,50
1,00
1SD- Mean 1SD+
Positive parenting
gnizila
nretxE
1SD- BE
Mean BE
1SD+ BE
Figure 3. Panel A: Negative control by Benevolence predicting Externalizing behavior. Panel B: Positiveparenting by Benevolence predicting Externalizing behavior.
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80 K. G. Van Leeuwen et al.
The finding that only three out of 20 possible three-way interactions are significant,
suggests that in general, there are few differences between referred and non-referred
groups of children in the way personality and parenting interact. Moreover the three cases
show inconsistent interaction patterns, one showing a personality by parenting interaction
for the referred group and the two others a significant interaction for the non-referred
group.2
DISCUSSION
In this study we elaborated and investigated the ‘spectrum association’ (Shiner & Caspi,
2003) postulating that differences between normal and abnormal or clinical samples are
restricted to quantitative or mean level differences on the relevant domains of functioning
(Costa & Widiger, 2002; Widiger & Clark, 2000). We explored in a general population
sample supplemented with a sample of clinically referred children to what extent
(a) differences between referred and non-referred children are confined to mean level
differences, (b) the covariation between child problem behaviour and its predictors—child
personality and parenting—is similar for referred and non-referred children and
(c) personality-parenting interactions can be generalized across both samples. Results
demonstrated (a) mean differences between the referred and non-referred group, indicating
that the mothers of the referred children rated their children lower on the Five Factor Model
personality dimensions, whereas on the other hand they reported higher negative control
and lower positive parental behaviour; (b) that personality and parenting predict child
problem behaviour, showing some differences in the strength of the relationships for
referred and non-referred groups, but not in the kind of relationship; (c) that similar
personality-parenting interactions are associated with problem behaviour in both the
referred and non-referred group. In brief, these results corroborate the spectrum hypothesis
implying that differences between the two types of samples can be conceived as
quantitative rather than qualitative.
Evidence for the spectrum hypothesis
Our data support the classic formulation of the spectrum hypothesis, referring to the fact
that non-clinical and clinical samples can be located on the same set of continuous
variables as partially overlapping distributions with a different mean. This was shown by
the significant mean level differences for problem behaviour, child personality and
parenting between the referred and non-referred samples.
To a certain extent we found evidence for our extended version of the spectrum
hypothesis, stating that the covariation between personality, parenting and problem
2In order to prevent chance capitalization in finding moderator effects, a Bonferroni correction can be applied.This implies that the alpha level for each individual test needs to be lowered to 0.0025 in order to adjust the overallalpha level to 0.05. For the consistency of parenting effects across referred and non-referred groups, theinteractions reported in the bottom part of Table 3 are not significant. However, this correction does not takeinto account the number of significant interactions (four out of five interactions predict internalizing behaviour,and two out of five predict externalizing behaviour). For the moderator effects of child personality, only twointeractions remain significant, i.e. the benevolence by negative control interaction and the benevolence bypositive parenting interaction, both predicting externalizing behaviour. For the three 3-way interactions the p-values do not meet the standard of 0.0025 to adjust the overall alpha level to 0.05 and therefore they can beconsidered as negligible.On the other hand, one could argue against the Bonferroni correction, because it is tooconservative.
Copyright # 2006 John Wiley & Sons, Ltd. Eur. J. Pers. 21: 63–89 (2007)
Extending the spectrum hypothesis 81
behaviour is invariant across referred and non-referred samples. Our analyses demonstrate
that personality is a strong predictor of child problem behaviour in both the referred and
non-referred, with differential effects of the five domains on internalizing and externalizing
behaviour. Some differences are found in the relationships between personality and
psychopathology across referred and non-referred samples. However, these differences
pertain to the strength and not to the kind of relationship: the shapes of the regression lines
are largely similar for the referred and non-referred sample. If one postulates a weaker
version of the spectrum hypothesis allowing for mean differences and differences in
strength but not for qualitative differences in the relationship between personality and
problem behaviour, then this weaker form of the spectrum hypothesis is supported. Hence
the difference between referred and non-referred groups is quantitative rather then
qualitative. If one wants to build a model for personality-problem behaviour relationships
for referred and non-referred groups, the model would include the same variables, the
path coefficients would indicate the same direction but some of the path coefficients would
turn out to be slightly higher for referred than for the non-referred groups. Although
strictly speaking this is a deviation from the spectrum hypothesis, it is a minor deviation that is
a far cry from the often claimed qualitative differences between referred and non-referred
groups.
As regards parenting as an independent variable, the association between negative
control and problem behaviour was found in both the referred and non-referred group of
children, but the effect was somewhat stronger in the referred group. This result shows that
different statistical analyses can provide different perspectives on the same data set (West,
2003). Analysing exclusively differences in means with GLMwould lead to the conclusion
that negative control is of minor importance in considering differences between referred
and non-referred groups. Although the mean level difference is small for negative control,
this variable was identified as a strong predictor of externalizing behaviour, confirming the
results of previous studies (Barber, 1996; Barber, Olsen, & Shagle, 1994; Deater-Deckard
& Dodge, 1997; Stormshak, Bierman, McMahon, & Lengua, 2000; Weiss, Dodge, Bates,
& Pettit, 1992) and documenting the negative relationship between restrictive parenting
and problem behaviour.
For positive parenting a different pattern emerged. The first-order effects of positive
parenting are weaker than those of negative control and depend on the personality variable
entered in the HMRA. Furthermore the results indicate that lack of positive parenting is
more strongly related to problem behaviour for children in the non-referred group.
Although the levels of significance are small, this effect is present in 6 out of 10 analyses.
This lack of continuity of effects of positive parenting across referred and non-referred
groups might be a challenge for the spectrum hypothesis. However, the results reported
here are preliminary and should be replicated in an independent sample.
Finally, the validity of the spectrum model was tested by assessing whether the
interaction effects of child personality and parenting were sample dependent. In line with
the spectrum hypothesis we did not expect differences in moderator effects across referred
and non-referred samples of children. The results showed a few minor three-way
interactions (3 out of 20), indicating different interactions for the referred and non-referred
children. However when a Bonferroni correction was applied, none of the interactions
remained significant. In sum we can conclude that the documented personality by
parenting effects are largely replicable in both the referred and non-referred group of
children and thus corroborate the spectrum hypothesis implying that similar processes
regulate problem behaviour in both groups.
Copyright # 2006 John Wiley & Sons, Ltd. Eur. J. Pers. 21: 63–89 (2007)
82 K. G. Van Leeuwen et al.
Is testing relations in a clinical versus a non-clinical sample
the optimal test for continuities versus discontinuities in pathology?
Our methodology is in line with the study of O’Connor (2002) who examined structural
differences between personality and psychopathologymeasures in clinical and non-clinical
samples for 37 inventories. Samples were classified as clinical if all respondents received
psychological counseling (inpatients or outpatients), whereas samples were classified as
non-clinical when the data were sampled from the general community or from student
populations. O’Connor discusses the possible inclusion of individuals with psychopathol-
ogy in the non-clinical samples and the presence of normal individuals in the clinical
samples. He concludes that ‘the best available evidence suggests that approximately 15%
of participants in normal volunteer samples meet the diagnostic criteria for psychological
disorders’ (O’Connor, 2002, p. 975). On the other hand, it is to be expected that not all
clinical inpatients or outpatients are prototypically abnormal in terms of DSM-diagnoses. It
is acknowledged that this is a limitation of the present study because it presumably makes
referred and non-referred samples more similar. Nevertheless the documented significant
mean-level differences for internalizing and externalizing behaviour (Table 2) clearly
indicate that the children in the referred group are really more impaired than those in the
non-referred sample.
An alternative test for continuities versus discontinuities in pathology is to divide the
total sample in groups of ‘pure’ internalizers and externalizers based on a cut-off score or
compare groups of children assigned a specific DSM-diagnosis with children without this
specific diagnosis. However, this method poses a statistical problem: identification of
children with a specific diagnosis generates small groups, which reduces the power for
detecting significant interaction effects (Aiken & West, 1991; Cohen, 1988; Irwin &
McClelland, 2003). An even stronger argument against this method is that comparing
groups of children with or without specific diagnoses is not compatible with the spectrum
hypothesis. One of the features of the spectrum model is the focus on the broader, higher-
order structure of phenotypic psychopathology and general broadband conceptualizations of
antecedents. Instead of linking specific disorders with specific antecedents, the main purpose
is to search for the ‘common core’ of psychopathological processes. As Krueger, Caspi,
Moffit, and Silva (1998, p. 216) note, ‘‘mental disorders co-occur at greater than chance rates,
calling into question the meaning of research performed on ‘pure’ cases of disordered
participants. Because of high rates of comorbidity, such pure cases are not only rare, they may
also be unrepresentative of the entire spectrum of persons suffering from the target disorder’’.
Internalizing versus externalizing behaviour
The present study reveals differential relationships between personality and parenting on
the one hand and internalizing and externalizing behaviour on the other hand. It was shown
that benevolence and conscientiousness are negatively related to externalizing problem
behaviour, whereas internalizing behaviour was mainly predicted by low emotional
stability and low extraversion. These results are compatible with the pattern emerging from
studies adopting a person-centered approach (De Fruyt, Mervielde, & Van Leeuwen, 2002;
Van Leeuwen, De Fruyt, & Mervielde, 2004). They demonstrate that resilient children
(scoring above average on all personality domains) display the least amount of
internalizing and externalizing behaviour. Undercontrolled children (scoring low on
benevolence/agreeableness and conscientiousness) tend to show externalizing problems
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Extending the spectrum hypothesis 83
whereas overcontrollers (scoring low on emotional stability and extraversion) mainly show
internalizing problem behaviour.
The relationships between the two parenting dimensions and child problem behaviour
also reveal a differential pattern. Negative maternal control is significantly related to
externalizing behaviour, with high levels of negative control associated with high levels of
externalizing behaviour. There is also a relationship with internalizing behaviour, but the
regression coefficients are smaller, indicating weaker effects. Positive parental behaviour
on the other hand predicts both internalizing and externalizing behaviour but to a lesser
extent than maternal negative control. Overall, negative maternal control is the better
predictor of externalizing behaviour whereas positive parenting is a weaker predictor of
both internalizing and externalizing behaviour. Because both types of parenting have a
different relationship with problem behaviour, these analyses confirm post hoc the
discriminant validity of the parenting dimensions.
The results of this study support the differential susceptibility hypothesis of Belsky
(1997), which assumes that children with different personality profiles also vary in their
sensitivity to parental influences. In particular, children rated high on conscientiousness
and benevolence do not show problem behaviour when exposed to high maternal negative
control and low positive parental behaviour. Being rated low or around the mean on
benevolence or conscientiousness is consistently associated with more problem behaviour,
in particular when children are exposed to inadequate parenting. These findings
corroborate the results of Prinzie et al. (2003), O’Connor and Dvorak (2001) and Van
Leeuwen et al. (2004).
Clinical implications
Although a categorical model, such as the DSM-IV, has the advantage of facilitating
communication between clinicians, a dimensional model may be more appropriate to deal
with co-morbidity and illusive boundaries between diagnostic categories (Widiger &
Samuel, 2005). By focussing only on the most appropriate categorical diagnosis, clinicians
ignore important ‘conditions’ for psychopathology or the ‘broader perspective’ (Mervielde
et al., 2005). This study shows evidence for multiple variables that covary in explaining
psychopathology, that is variables describing characteristics of the person, and parenting as
an environmental influence. This suggests that both parenting and personality variables
should be taken into account in the assessment and for the selection of an appropriate
treatment for children’s externalizing and internalizing behaviour. This implies the need
for standards in order to be able to identify ‘extreme variations’ of the dimensions.
The prospects for treatment of children presenting a similar clinical level of
externalizing may depend on their personality profile. Clinical levels of externalizing
together with low benevolence (and low emotional stability) may be much more difficult to
treat because of the stability (and the presumed genetic basis) of the maladaptive
personality profile. Clinical levels of externalizing without evidence for maladaptive
personality but with evidence for negative parenting suggest an intervention not only with
the child but also with the family system. Assessment of the personality profile of child in
addition to problem behaviour could also be helpful to tailor treatment to the basic
tendencies of the child. A child scoring high on imagination or openness may be more
responsive to changes in parental behaviour or to novel treatments whereas a highly
introverted child may benefit more from personal interaction with a skilled psychotherapist
than from group therapy.
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84 K. G. Van Leeuwen et al.
Limitations of this study and future research
Because this study is the first to compare mean level, covariation and moderator effects of
parenting and personality in referred and non-referred children, replication of this study in
independent samples is warranted to establish the robustness of the effects. These samples
should be large enough to guarantee adequate power to detect 2- or 3-way interactions.
Moreover, the inclusion of longitudinal data would provide the opportunity to compare
effects over time, and hence permit stronger conclusions regarding the direction of the
effects and the causal status of the antecedents of child psychopathology.
Further, it should be noted that item-content overlap between measures of child
personality (HiPIC) and problem behaviour (CBCL) represents a potential problem of
validity. In our study, the instrument used to assess child personality (HiPIC) is conceived
as a multidimensional measure of adaptive or normal individual differences in children that
contains items describing the normal range of child personality related behaviour. On the
other hand, the Child Behaviour Checklist primarily contains items that describe
behavioural and emotional problems. Fortunately some recent studies have addressed the
impact of item-overlap across measures of child temperament and child behaviour problem
(Lemery, Essex, & Smider, 2002; Lengua, West, & Sandler, 1998). These studies showed
that when confounded items were eliminated from both measures, either based on
empirical evaluation of overlap (via exploratory or confirmatory factor analysis) or based
on content evaluation of overlap (via expert ratings of meaning overlap), this did not
seriously affect correlations between child personality and child problem behaviour. A
study by Prinzie, Onghena en Hellinckx (2005) discusses the problem of item overlap
between child personality as measured with the HiPIC and child exernalizing behaviour,
measured with the CBCL. It shows that the link between benevolence and externalizing
behaviour is not due to item overlap, because dropping overlapping items, did not affect the
results.
The results are based on measures completed by the same informant (the mother) and as
such introduce the problem of confounded method-variance.3 Relying on a single reporter
can exaggerate the true relations between parenting and child adjustment (Galambos,
Barker, & Almeida, 2003), and therefore it would be worthwhile to obtain ratings from
more than one informant. Future research should address this issue by collecting data from
fathers in referred samples and or by aggregating scores over parents. Also, attention could
be given to possible differential effects of maternal and paternal parenting on child
psychopathology, and possible gender differences, because previous research has shown
that boys and girls respond differently to parenting practices (e.g. Oldehinkel et al., 2006).
In a strict sense, the design of the present study does not allow to draw conclusions about
recurrent reciprocal interchanges over time between child and parent, as specified by the
transactional effects model explaining child development (Lytton, 1990). Our measures do
not assess child behaviour at time 1, eliciting a certain parental response, which influences
the child at time 2, and so on. This transactional interaction sequence is suggested in
Patterson’s coercion theory (Patterson, 1982; Patterson, Reid, & Dishion, 1992), stating
that a child learns through negative reinforcement that his or her aversive behaviour is an
3In the study we also obtained child ratings of mother’s parenting. The HMRA including child ratings of maternalbehaviour, and mother ratings of child personality and problem behaviour showed replicability of the strongesteffects in Table 3, namely the main effect of negative control in the prediction of externalizing behaviour, thenegative control by group interaction predicting externalizing behaviour, and the benevolence by negative controlinteraction predicting externalizing behaviour.
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Extending the spectrum hypothesis 85
effective strategy to control the behaviour of others and to escape from undesirable
situations. This theory tends to focus on the parental response to the child (Stoolmiller,
2001), and in particular on the fact that some parents are not able to manage their child’s
behaviour. By including child individual characteristics in the present study and
investigating the statistical interaction between parenting and child personality, we have
shown that the effects of parental behaviour on child problem behaviour depend on
certain child characteristics or vice versa. Low benevolence and low conscientiousness
in particular, are related to child unmanageability, a concept that is highly relevant to
coercion theory (Stoolmiller, 2001). Therefore it can be hypothesized that children rated
low on benevolence and conscientiousness evoke increasing levels of negative control from
their mothers, enhancing in return the risk for developing problem behaviour.
CONCLUSION
To our knowledge this study is the first to examine and elaborate the spectrum or continuity
hypothesis by assessing and comparing covariation and moderator effects in referred and
non-referred samples. This innovative way of studying clinical and non-clinical samples
can be applied to other dependent and independent variables. The fact that the present study
generally supports the spectrum hypothesis, contending continuity for the personality-
parenting-problem behaviour relationships across referred and non-referred samples,
obviates the need to invest resources in the development of sample specific models for
understanding and treatment of children’s problem behaviour.
ACKNOWLEDGEMENTS
This study was partly supported by grants from the Flemish Community (No. bel96/32).
The sample of non-referred children in this study was used in Van Leeuwen, Mervielde,
Braet, & Bosmans (2004). This sample was extended with a sample of referred children,
and the present study addresses different and additional research questions than the
abovementioned study.
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