Abstract
A developmental cascade model was tested to examine longitudinal associations among firstborn children’s aggression, Theory-of-Mind, and antagonism toward their younger sibling during the first year of siblinghood. Aggression and Theory-of-Mind were assessed before the birth of a sibling, and 4 and 12 months after the birth, and antagonism was examined at 4 and 12 months in a sample of 208 firstborn children (initial M age = 30 months, 56% girls) from primarily European American, middle- class families. Firstborns’ aggression consistently predicted high sibling antagonism both directly and through poorer Theory-of-Mind. Results highlight the importance of examining longitudinal influences across behavioral, social-cognitive, and relational factors that are closely intertwined even from the early years of life.
Keywords: theory-of-mind, aggression, sibling interaction
Childhood aggression peaks during toddlerhood, followed by a decline around age 3 (Alink et al., 2006; Tremblay et al., 2004). Despite the general decrease in early aggressive behavior, some children continue to show a high stable pattern of aggression into school age, which is associated with a range of poor social and academic outcomes (Caspi & Moffitt, 1995). Because early-onset conduct problems can be identified as early as at age 3 (Shaw & Gross, 2008), research on the correlates of early aggression can help inform preventative interventions that seek to target at-risk young children (e.g., Hyde, Shaw, Gardner, Cheong, Dishion, & Wilson 2013).
There are multiple family- and child-level factors that are associated with the development of young children’s aggression. Siblings, in particular, are influential social agents for developing aggression during toddlerhood and the early preschool years. Sibling antagonism, which refers to aggressive or hostile acts directed toward siblings, is related to, yet distinct from, a general disposition toward aggression (Volling & Elins, 1998), even though the two are often related in research studies (see Dirks, Persram, Recchia, & Howe, 2015 for review; Garcia, Shaw, Winslow, & Yagi, 2000). Destructive and coercive sibling interactions can serve as a training ground for aggressive children, providing opportunities to practice and learn a wide range of antisocial behaviors (Patterson, 1986). In addition to social influences, child characteristics are also relevant for understanding the progression of aggression, with recent research finding relations between aggression and children’s Theory-of-Mind (ToM), suggesting that aggressive children have poorer (i.e. slower in the developing pace) ToM compared to their peers (Lane, Wellman, Olson, Miller, Wang, & Tardif, 2013; Wellman, Lane, LaBounty, & Olson, 2011). Furthermore, a number of studies have found a significant positive association between children’s ToM development and sibling relationship quality (Dunn, Brown, Slomkowski, Tesla, & Youngblade, 1991; Hughes & Ensor, 2006). The main goal of the current study was to examine the reciprocal relations between firstborn children’s aggression, ToM, and sibling antagonism in the year following the birth of their infant sibling.
Aggression and Early Sibling Antagonism
Sibling relationships begin within the first months following the birth of a sibling. Children’s initial reactions to the baby sibling are an important predictor of later sibling relationship quality. For example, children’s early interest and affection toward the newborn sibling predicted friendly sibling relations approximately a year later (Dunn & Kendrick, 1982), which was then related to less antagonism toward the younger siblings when they were 6 years old (Stillwell & Dunn, 1985). Also, children’s early cooperation in the care of their 1-month-old infant sibling predicted more positive sibling engagement and less antagonism and rivalry toward the sibling 8 months after the birth (Song & Volling, 2015). Thus, identifying factors associated with individual differences in young children’s interactions with their infant sibling shortly after birth takes on particular importance if we are to understand which children engage in antagonistic and potentially aggressive interactions later on.
Sibling interaction may serve as a social arena in which aggressive children can engage in disruptive conflict and further exacerbate aggressive behavior (Dirks et al., 2015). Patterson’s (1986) sibling coercion model proposed that siblings train one another to act more aggressively by modeling and reinforcing disruptive behaviors. In fact, a longitudinal study found that having a sibling increased the odds of membership in a highly aggressive group of children between 17 to 42 months of age (Tremblay et al., 2004). Oh, Volling, and Gonzalez (2015) also found that 42% of firstborn children showed an escalating pattern of antagonistic behavior toward their infant sibling starting 4 months after the birth. Because conflict is common during sibling interactions in the toddler and preschool years, occurring approximately 6.3 times per hour (Perlman & Ross, 1997; Stewart, 1990), aggression-prone firstborn children have ample opportunity to engage in aggressive exchanges with their sibling.
Children’s use of aggression in social interactions may limit the types of conflict resolution strategies used during sibling conflicts because aggressive overtures not only create a negative affective environment, but can also result in the sibling’s passive withdrawal from social interactions, creating a destructive rather than a constructive atmosphere for sibling conflict (Howe, Rinaldi, Jennings, & Petrakos, 2002). Destructive sibling conflict involving physical aggression and intense negative affect at 5 years predicted boys’ externalizing behaviors at age 6 (Garcia et al., 2000), and increasing antisocial behavior toward siblings from ages 3 to 6 positively predicted antisocial behaviors toward unfamiliar peers at age 6 (Ensor, Marks, Jacobs, & Hughes, 2010). These findings underscore the potential for escalating, reciprocal influences between children’s aggression and sibling conflict over time, yet there is a lack of research examining longitudinal, bidirectional influences between children’s aggression and sibling antagonism in the first years of the sibling relationship. Links between aggression and sibling interaction may be weak at first, but become stronger over the course of the year as children become more aggressive over time while participating in increasingly antagonistic interactions with their sibling, particularly as the infant sibling matures and becomes a more active social partner who can also contribute to antagonistic sibling interaction.
Children’s Aggression, Theory-of Mind, and Sibling Relations
Children’s aggression is also closely linked to social-cognitive abilities. The social information processing model (Crick & Dodge, 1994; Lemerise & Arsenio, 2000) stipulates that social-cognitive and emotional processes contribute to children’s social competence in a reciprocal manner. In the case of children’s aggression, an individual’s emotional characteristics (e.g., negative emotionality) are intertwined with cognitive processes (e.g., ToM, perspective-taking) to predict children’s social adjustment (e.g., sibling relationship quality). The literature strongly supports a social-information processing model when examining links between children’s aggression and ToM. Cross-sectional studies have found that disruptive behaviors (e.g., aggression) were associated with delays in affective perspective-taking (Minde, 1992) and false-belief performance in preschoolers (Lane et al., 2013). Wellman and colleagues (2011) also found that false-belief understanding at 5 years was negatively predicted by children’s aggression at 3. These findings suggest that children’s aggressive tendencies in social situations, such as sibling interactions, may serve as an obstacle for attending to and learning about others’ minds. Aggressive children may be deprived of opportunities to learn about other’s minds in both peer and family contexts because they are more likely to be rejected from social situations (McElwain, Olson, & Volling, 2002; Wood, Cowan, & Baker, 2002). During the first months after the birth of a sibling, parents are also likely to intervene and prohibit aggressive preschoolers from further interactions with their infant siblings (Dunn & Kendrick, 1982; Oh et al., 2015), reducing opportunities for these children to learn about siblings’ minds. Indeed, Dunn and Kendrick (1982) found that when mothers talked to their children about the infant sibling as a person and underscored the infant’s feelings and needs in the first weeks after the birth, children were more likely to show better emotion understanding in the first year.
Extant studies rarely use a cross-lagged, longitudinal design to examine associations between aggression and ToM development, which lends difficulties in confirming the direction of influence. Is it the case that aggressive children are less likely to develop ToM abilities or, alternatively, that children with poor ToM understanding engage in more aggression over time? Although there is some evidence suggesting a positive association between ToM and proactive aggression among older school-age children (e.g., Sutton, Smith, & Swettenham, 1999) deficits in developing social cognitive skills may interfere with young children’s understanding of others’ intention, desires, and beliefs, which, in turn, can result in inconsiderate and aggressive behaviors toward others (Dodge & Coie, 1987; Choe, Lane, Grabell, & Olson, 2013). Interactions with others, especially siblings, can provide a rich social environment for young children to learn about others’ desires and beliefs (Hughes & Leekam, 2004), and demonstrate social understanding (Howe et al., 2002). For example, cooperation with an older sibling at 33 months predicted younger siblings’ various socio-cognitive abilities (e.g., ToM, emotion understanding) 7 months later (Dunn et al., 1991). Sibling conflict may provide a rich opportunity for children to be exposed to opposing ideas and to learn to argue for their position, such that children grasp how to negotiate, persuade, and reconcile differing points of view through sibling disputes (Herrera & Dunn, 1997; Katz, Kramer, & Gottman, 1992). Foote and Holmes-Lonergan (2003) found that preschool children who used more other-oriented arguments—arguments taking into account the interests and perspectives of others—during sibling conflict also had better false-belief understanding, concurrently. On the other hand, simply engaging in antagonistic sibling conflict charged with negative emotion without the use of other- or self-oriented arguments was negatively related to social-cognitive understanding. Because there is a lack of longitudinal studies on ToM development and early sibling interaction, the direction of influence between early sibling antagonism and ToM cannot be determined. To examine if the relation between children’s ToM development and sibling conflict is reciprocal or unidirectional, and if so, in which direction, it should be examined longitudinally over time, which we do in the current study.
Despite these intriguing associations, no study has examined aggression and ToM longitudinally in the year following the birth of a sibling. During this transition, aggressive children may be especially likely to develop poor ToM, and poor ToM may lead to increased inconsiderate and aggressive behavior toward others, particularly toward the infant sibling (Dodge & Coie, 1987). Hughes and Ensor (2005) found that 2-year-old children with advanced ToM were more likely to have an affectionate sibling relationship, whereas children with poor ToM development had sibling relationships marked by high levels of conflict. Also, Stewart and Marvin (1984) found a positive association between preschoolers’ perspective-taking ability and caretaking behaviors toward their infant siblings. These findings suggest the possibility that when children are able to understand their siblings’ thoughts and needs, they may interact more positively with their infant siblings. Therefore, it is essential to understand how children’s aggression, sibling interaction and ToM are interrelated in the first year after an infant sibling’s birth.
In the current investigation, we tested a developmental cascade model integrating firstborn children’s aggressive behavior, their ToM, and early antagonistic sibling interaction in the year following the birth of an infant sibling. Developmental cascade models take advantage of longitudinal designs over multiple timepoints and allow one to assess precedence and consequence between variables and transactional processes among the constructs over time (Masten & Cicchetti, 2010). For example, the link between aggression and sibling antagonism might be direct, but it may also be indirect through children’s ToM—poor ToM impedes children from building caring sibling relationships. Directionality of effects can also be examined in developmental cascade models. One can test whether sibling conflict predicts firstborn children’s ToM understanding, whether ToM understanding predicts sibling conflict, or whether the effects are bidirectional. Cascade models require repeated assessments across multiple domains, controlling for intra-construct stability and concurrent correlations across domains to test the cascade effects (Masten & Cicchetti, 2010). Developmental cascade effects reflect the progressive relations among multiple domains of functioning over time (Masten & Cicchetti, 2010). That is, change in one area of children’s functioning (e.g., ToM) triggers a progression of consequences that can affect other areas of social adaptation (e.g., aggression and sibling antagonism) at later points in time. A developmental cascade model allowed us to test predictions from the sibling coercion model directly by examining whether relations between children’s aggression and sibling antagonism were more strongly intertwined over time and whether increases in children’s ToM understanding weakened associations between children’s aggression and sibling antagonism.
Current Study
In short, research suggests that aggression, sibling antagonism, and ToM are closely related, but no study has examined these relations in the year following the birth of an infant sibling, even though early aggressive behavior and ToM may be particularly important for the development of antagonistic sibling relationships in the first year. In the current study, we examined children’s ToM and aggressive behavior before the sibling’s birth (prenatal) to predict antagonism toward their infant sibling and subsequent ToM at 4 and 12 months after the birth. We used a developmental cascade framework to model the bidirectional relations among firstborn children’s aggression, antagonism toward their infant sibling, and ToM across three timepoints (prenatal, 4, and 12 months). Because no prior study has examined the simultaneous, bidirectional relations among aggression, sibling antagonism, and ToM, the analyses were exploratory, although we did expect children’s aggression before the birth would predict poor ToM development and more antagonism toward the sibling at 4 months after the birth while controlling for the stability of aggression over time. Poor ToM and higher sibling antagonism at 4 months were also expected to contribute to increased aggression at 12 months, and reveal bidirectional relations over time to create a developmental cascading effect. Throughout the paper, we refer to the firstborns as the children and the infants as the siblings.
Method
Participants
Participants were part of a longitudinal study designed to investigate changes in family dynamics and firstborn children’s adjustment after the birth of a second child. Initially, 241 families living in four counties of southeastern Michigan were recruited through obstetric clinics, local hospitals, childcare centers, pediatricians’ offices, childbirth education classes, and through local printed media. Families had to meet the following criteria: mothers were pregnant with a second child, the biological father of the infant was resident, firstborn children were between 1 and 5 years of age at the time of the birth, and both children had no mental or physical developmental delays. The data were collected from November 2004 to June 2010. Parents were predominantly middle-class and European American (83.8% of mothers; 85.1% of fathers), with 16.2% of mothers and 14.9% of fathers representing other racial and ethnic minorities. Most parents had a Bachelor’s degree or higher (83.9% of mothers; 79.2% of fathers), and the majority of families (70.6%) earned $60,000 – $99,999 per year. Roughly half (46%) of the firstborn children and half (55%) of the infant siblings were boys.
Because children’s ages ranged widely from 10 months to 5 years old at the first prenatal timepoint, and ToM is highly age-sensitive, we restricted the sample for analysis to the 208 firstborn children who were 18 months to 47 months old at the prenatal timepoint (Mage at prenatal = 29.74 months; Mage at 4 months = 35.36 months; Mage at 12 months = 43.49 months; SD = 7.69 months; 117 girls), so that oldest children were no more than 4 years old (59 months) at 12 months. This age range was chosen because early signs of understanding others’ mental states are apparent by 18 months (Meltzoff, 1995; Rapacholi & Gopnik, 1997) and dramatic growth in ToM is salient during the preschool years, providing a range of individual difference in the pace at which children progress, with most children achieving advanced ToM understanding (e.g., false-belief, hidden emotion) by age 5 (Wellman, 2014). Specific age break-downs are as follow: at the prenatal timepoint, 53 children were between 18 – 23 months, 97 children were 24 – 35 months, and 58 children were 36 – 47 months.
Missing data were handled with full information maximum likelihood (FIML) estimation in structural equation modeling, resulting in 208 families for analyses. Among the 208 families, missing data percentages for study variables ranged from 0% to 17% (M = 10%). The result of Little’s (1988) Chi- Square Test of MCAR, χ2 (246) = 259.93, p = .26, revealed that the data were missing completely at random. The 208 families did not differ significantly from the recruited sample of 241 on most of the demographic information (i.e., family income, parents’ race and ethnicity, age, years of marriage, or siblings’ gender) except that mothers were more educated, χ2 (2) = 8.43, p < .05.
Procedures
The original longitudinal study included five timepoints based on the infant’s age: prenatal (last trimester of the mother’s pregnancy with the second child), 1, 4, 8, and 12-months. Observations, interviews, and questionnaires were used to assess children’s adjustment and family functioning. Children’s ToM was assessed at their siblings’ ages of prenatal, 4 months, and 12 months during home visits. This allowed sufficient time for changes to take place between assessments, but also maintained relatively equivalent lengths between assessments (i.e., 8 months). Mothers’ and fathers’ reports of children’s aggression and antagonistic sibling interaction collected at the same timepoints were used in analyses to coincide with the timing of ToM assessments. We relied on parents’ reports because it is often difficult to observe low frequency events such as aggression and antagonistic interaction in short observation sessions.
Measures
Aggression
Both mothers and fathers completed the aggression subscale of the Child Behavior Checklist (CBCL 1½–5; Achenbach & Rescorla, 2000) at each timepoint. The CBCL is a widely used measure for identifying children’s problem behaviors. Parents rated how well each of 19 items (e.g., hits others, demands must be met immediately; αs = .86 – .89) characterized their firstborn child’s aggression, using a 3-point scale (0 = “not true”; 1 = “somewhat true”; 2 = “very true”). Given their high inter-correlations (rs = .37 – 48, ps < .001) items were summed and mothers’ and fathers’ reports were averaged to create a single score at each timepoint. Changes in aggression from prenatal (M = 8.63) to 4 months, (M = 9.01), t (179) = −1.55, p = .12, and from 4 months to 12 months (M = 8.75), t (169) = .62, p = .53, were not significant. The CBCL measure of aggression references an overall disposition to engage in aggressive behavior, which may be related to, but distinct from, aggressive acts directed specifically toward siblings, which we assessed with a separate sibling antagonism measure.
Sibling antagonism
Both mothers and fathers completed the conflict scale of the Sibling Relationships in Early Childhood Questionnaire (Volling & Elins, 1998) to assess children’s antagonistic behaviors directed toward their infant sibling, including teasing, bossing, and being physically aggressive toward the baby. Five items (αs = .72 – .79) were rated on a 5-point Likert scale (1 = almost never; 3 = sometimes; 5 = almost always), to form a composite of sibling antagonism (e.g., is physically aggressive with baby, teases or annoys baby). Due to significant correlations between mothers’ and fathers’ reports at each timepoint (rs = .41 – .47, ps < .001), scores were averaged across parents. There was a significant increase in sibling antagonism from 4 months (M = 1.64) to 12 months (M = 2.40), t (167) = −16.67, p < .05.
Theory-of-Mind (ToM)
Children’s social cognition was assessed using six ToM tasks (with two false belief tasks) that most children pass in sequential order during the course of early childhood (Wellman & Liu, 2004). Children were shown vignettes using drawings and figures, and asked questions to ascertain their understanding of others’ desires, knowledge, beliefs, and emotion. In the Not-Own Desire task, children judged whether two persons (the child vs. someone else) could have different desires about the same objects. During the Not-Own Belief task, children judged whether people (the child vs. someone else) could have different beliefs about the same object, when children were unaware of which belief was true. In the Knowledge Access task, children saw the contents of a nondescript box and judged whether another person, who had not seen inside the box, would know the box’s contents. In the Explicit False-Belief task, children judged where someone would search for a missing object given the person’s mistaken belief about the object’s location, and in the Contents False-Belief task, children judged whether someone would hold a true or false belief about the contents of a distinctive container when children knew that it contained something unexpected. Finally, the Hidden Emotion task examined whether children understood that a person could feel one thing but display a different emotion. A total score summed the number of the tasks for which children provided the correct answer. These sequential ToM tasks have been widely used across different countries (e.g., U.S. and China) and sub-populations (e.g., typically developing children, children with deafness) to capture variations in the progression of children’s ToM development (Peterson, Wellman, & Slaughter, 2012).
ToM measures are highly age-sensitive, which creates a challenge in the longitudinal assessment of ToM using the same measure, thus some studies have used different age-appropriate ToM measures at different timepoints (e.g., Adrián, Clemente, & Villanueva, 2007; Fink, Begeer, Hunt, & de Rosnay, 2014). As such, the current study calculated ToM scores while taking into account the age range of children at each timepoint, allowing us to use the same sorts of tasks across different time points while reducing the positive skewness in ToM scores at the earlier timepoints. The first three tasks—not-own desire, not-own belief, and knowledge access—were used at the prenatal- and 4-month timepoints when 75% of children (prenatal) and over 50% (4 months) of children were under age 3; thus most children were still too young to pass explicit false-belief and hidden emotion tasks (Wellman & Liu, 2004). ToM composites at prenatal and 4 months ranged from 0–3 tasks passed. At 12 months, 80% of children were between 36 months and 59 months; we used all six ToM tasks, including the false-belief and hidden emotion tasks, so the ToM composite ranged from 0–6.
Verbal IQ
Children’s Verbal IQ was measured using the receptive vocabulary subscale of the Wechsler Preschool and Primary Scale of Intelligence, Third Edition (WPPSI-III; Wechsler, 2002), which is designed for children ages between 2 years 6 months and 7 years 7 months. Verbal IQ measured at 12 months (when all participating children were within this age range) was used as a covariate for ToM at all three timepoints in analyses.
Data Analysis Plan
Multiple path models using structural equation modeling (SEM) examined the different paths between aggression and ToM at prenatal, 4, and 12 months, and sibling antagonism at 4 and 12 months (see Figure 1). A series of nested models were conducted to test whether a cascade model fit the data better than simpler longitudinal models without diagonal (i.e., cross-lag) paths across variables and time. All subsequent models contained paths included in the previous model. Model 1 was a stability model, which included stability paths (autoregressive paths) between repeated measures (e.g., aggression at prenatal timepoint to aggression at 4 months). This model only assumes within-variable stability over time, but no relations across variables, either concurrently or longitudinally. In Model 2, a covariance model, correlation estimates were added within each timepoint (e.g., ToM at 4 months with sibling antagonism at 4 months). This model assumes within-variable stability over time, and also potential relations among variables, but only concurrently. Model 3 was a cascade model, which included diagonal paths between constructs at adjacent timepoints (e.g., aggression at prenatal timepoint to ToM at 4 months). This model assumes within-variable stability and potential relations among variables both concurrently and longitudinally between adjacent timepoints. Model fit was assessed with the comparative fit index (CFI) and the root mean square of approximation (RMSEA). CFI greater than .95 indicates good fit and RMSEA between .06 and .08 with upper bounds not exceeding .10 indicates an adequate model fit (Hu & Bentler, 1999). The χ2 test of significance is reported, but not used as a measure of model fit in the current study, because it has been shown to be highly sensitive to sample size (Kline, 2005). AMOS Version 22 was used for testing all models (Arbuckle, 2013). As follow-up analyses, indirect effects within the final model were tested for statistical significance.
Figure 1.
Hypothesized models of associations among Theory-of-Mind, aggression, and sibling antagonism. Model 1 (Stability) only assumes individual stabilities of the variables. Model 2 (Covariance) assumes individual stabilities and concurrent correlations among the variables within each timepoint. Model 3 (Cascade) assumes stabilities, concurrent correlations, and developmental links across domains over time.
Results
Preliminary Analyses
Means, standard deviations, and correlations among the focal variables are presented in Table 1. Significant positive correlations across timepoints were found for aggression, sibling antagonism, and ToM, indicating intra-individual stability over time. Aggression at all timepoints was positively correlated with sibling antagonism at 4 and 12 months. The concurrent correlations between the two were r = .27 at 4 months and r = .54 at 12 months, respectively. Among demographic variables, children’s gender, family income, and type of childcare were not related with any of the focal variables. Child age (r = .56 – .65, ps < .001) and verbal IQ (r = .34 – .38, ps < .001) were positively correlated with ToM at all three timepoints, and mothers’ education was correlated with ToM at two timepoints (r = .11 at prenatal and r = .14 at 12 month, ps <. 05). These were included as covariates for ToM in the main analyses, but are not shown in the figures for ease of presentation.
Table 1.
Descriptive Statistics and Correlations for Aggression, Theory-of-Mind, and Sibling Antagonism
| Variable | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
|---|---|---|---|---|---|---|---|---|
| 1. Aggression (P) | - | |||||||
| 2. ToM (P) | .004 | - | ||||||
|
| ||||||||
| 3. Aggression (4) | .72** | .02 | - | |||||
| 4. ToM (4) | −.06 | .42** | −.05 | - | ||||
| 5. Sib Antagonism (4) | .28** | .07 | .27** | .03 | - | |||
|
| ||||||||
| 6. Aggression (12) | .67** | −.05 | .76** | −.10 | .27** | - | ||
| 7. ToM (12) | .05 | .53** | .06 | .49** | .10 | .04 | - | |
| 8. Sib Antagonism (12) | .34** | −.12 | .38** | −.15 | .36** | .54** | −.04 | - |
|
| ||||||||
| M | 8.63 | .93 | 9.01 | 1.31 | 1.64 | 8.75 | 2.46 | 2.40 |
| SD | 4.54 | .93 | 4.71 | .97 | .50 | 4.98 | 1.44 | .53 |
Note. P = prenatal; 4 = 4 months; 12 = 12 months timepoint
p < .05.
p < .01.
Nested Model Comparisons
Fit indices and model comparison tests are shown in Table 2 and the models are represented graphically in Figure 1. Model 1 (stability), which included stability paths within each construct over time, had poor fit to the data (CFI = .88, RMSEA = .10). Model 2 (stability + covariance), in which within time covariance estimates were added, had poor fit to the data (CFI = .92, RMSEA = .09), even though fit significantly improved from Model 1, Δχ2 (7) = 37.05, p < .001. Model 3 (cascade), including diagonal paths in addition to stability paths and covariance terms, had a good fit (CFI = .98, RMSEA = .06), which was significantly better than Model 2, Δχ2 (10) = 46.23, p < .001. Therefore, Model 3 was chosen as the final model.
Table 2.
Model Fit Statistics and Comparisons
| df | χ2 | CFI | RMSEA | 90% CI | Model Comparison | Δχ2 | Δdf | p | |
|---|---|---|---|---|---|---|---|---|---|
| Model1: Stability | 39 | 121.40 | .88 | .10 | 08 – .12 | ||||
| Model2: Covariate | 32 | 84.35 | .92 | .09 | .07 – .11 | 2 vs. 1 | 37.05 | 7 | p < .001 |
| Model3: Cascade | 22 | 38.12 | .98 | .06 | .03 – .09 | 3 vs 2. | 46.23 | 10 | p < .001 |
CFI = Comparative Fit Index; RMSEA = Root Mean Square Error of Approximation; 90% = CI 90% confidence interval for RMSEA
The Cascade Model
The estimates based on the final model (Model 3) are shown in Figure 2. According to the autoregressive path coefficients, all three focal variables showed significant stability across timepoints except from prenatal ToM to 4-month ToM. As shown in Figure 2, results supported the significant longitudinal cross-lag relations from aggression to sibling antagonism at all timepoints, but the cross-lag path from 4-month sibling antagonism to 12-month aggression was not significant. Prenatal aggression also predicted poor ToM at 4 months, but 4-month aggression did not predict 12-month ToM. None of the cross-lag paths from ToM to aggression were significant, but poor ToM at 4 months did predict increased sibling antagonism at 12 months. Finally, even though sibling antagonism and aggression were positively correlated at 12 months, sibling antagonism at 4 months did not predict ToM or aggression at 12 months.
Figure 2.
Standardized parameters for a cascade model (final Model 3). χ2 (22, N = 208) = 38.12, p < .05, CFI = .98, RMSEA = .06, 90% CI = .03 – .09. Non-significant parameters remain in the model but are not displayed in the figure. Children’s age, verbal IQ, and mothers’ education were included as covariates.
*p < .05. **p < .01. ***p < .001
As a final step, the statistical significance of indirect paths in the final cascade model (Figure 2) were tested using Sobel’s (1982) test, as recommended by MacKinnon, Lockwood, Hoffman, West, and Sheets (2002). Two indirect paths were statistically significant: (a) prenatal aggression predicted aggression at 4 months, which, in turn, predicted sibling antagonism at 12 months (z = 3.95, p < .001) and (b) prenatal aggression predicted sibling antagonism at 4 months, which, in turn, predicted sibling antagonism at 12 months (z = 2.69, p < .01). The indirect path from prenatal aggression to 12-month ToM (z = −1.77, p = .08) and sibling antagonism (z = 1.47, p = .14) through 4-month ToM did not reach conventional levels of statistical significance.
Discussion
The present study examined longitudinal associations among children’s aggression, ToM development, and antagonistic sibling interaction in the first year of siblinghood using a developmental cascade model. The findings provide some support for cascading developmental effects of children’s aggression, for both social-cognitive and sibling relational domains across the first year of the developing sibling relationship. Specifically, we found that children’s aggression predicted antagonism toward their infant sibling over the first year of siblinghood, whereas sibling antagonism did not predict subsequent aggression. Higher levels of aggression, specifically at the prenatal timepoint, predicted poorer ToM at 4 months controlling for children’s age, verbal IQ, and mother’s education level. Poorer ToM did not predict increased aggression, although poorer ToM at 4 months did predict later sibling antagonism. Thus, the results revealed cascade effects from children’s aggression before the birth of a sibling on antagonistic sibling interaction, as well as on ToM development at the end of the first year of siblinghood through some direct and indirect pathways. These findings help us understand the significance of children’s aggression for their early social-cognitive development and adjustment to the transition to siblinghood.
Supporting the hypothesis that children’s aggression before the birth of the sibling would predict more antagonism toward the sibling in the year following the birth, we found direct effects of aggression on later sibling antagonism. Aggression at both the prenatal and 4-month timepoints positively predicted higher levels of sibling antagonism at 4 and 12 months, respectively. Notably, these paths were significant while taking into account the stability of sibling antagonism, with aggression at 4 months continuing to predict 12-month sibling antagonism even after taking into account the variance explained by 4-month sibling antagonism. The association between aggression and sibling antagonism, however, was not bidirectional as high sibling antagonism at 4 months did not predict increased aggression at 12 months. Thus, there is no evidence supporting the longitudinal reciprocal influence between sibling interaction and children’s aggression that would be predicted from the sibling coercion model (Patterson, 1986), at least not in this first year of the developing sibling relationship. The unidirectional effect might be due to the short lag (i.e., 8 months) between timepoints or the fact that we only examined the children’s behavior toward their infant sibling and not the infant’s increasing abilities to reciprocate antagonistic interactions by the end of the first year. Knowing whether or not the infant sibling was also engaged in such antagonistic interactions as time progressed may be the missing link in understanding how early sibling interactions shape children’s aggressive behavior.
Consistent with prior research, we found that children’s aggression was relatively stable over time (Alink et al., 2006; Caspi & Moffitt, 1995; Olson, Lopez-Duran, Lunkenheimer, Chang, & Sameroff, 2011). Despite the stability in individual differences in children’s aggression, aggression, as measured by the CBCL, did not evince mean changes over time. Sibling antagonism, on the other hand, revealed stable individual differences from 4 to 12 months, but also mean increases over time, suggesting that children engage in more sibling antagonism as their infant sibling matures. Again, this may be a reflection of the increasing abilities of the younger sibling to engage in antagonistic sibling interaction as they get older and can reciprocate their older siblings’ aggressive behavior (Dunn & Munn, 1986). These results are consistent with Stewart (1990), in which more than a half of the participating children initially showed high levels of confrontation with their parents at 1 month, followed by a significant decline at 4 months, and an increase in confrontation with the infant sibling at 8 and 12 months.
The current study also found some support for a potential developmental pathway from aggression to sibling antagonism through poorer ToM. Specifically, aggressive children before the birth of a sibling performed poorer on ToM tasks at 4 months, which then predicted higher levels of antagonism toward the sibling at 12 months, although the indirect effect of aggression on sibling antagonism was not statistically significant. According to the social information processing model, social cues between the child and others provide an ongoing source of information on how the social interaction is proceeding and allow the child to use these cues to adjust their social behavior accordingly (Lemerise & Arsenio, 2000). Children with poor perspective-taking ability or ToM are more likely to use less socially skilled (e.g., destructive, non-negotiable) approaches to emotionally arousing social situations (Saarni, 1999). This may be one possible explanation for the path from poorer ToM at 4 months to higher sibling antagonism at 12 months. This is also consistent with earlier literature showing that children’s social-cognitive abilities are closely related to sibling relationship quality (Hughes & Ensor, 2005). Other mechanisms besides delayed ToM may also be potential mediators between aggression and sibling antagonism and might be worthwhile to examine in future studies. For instance, high emotional reactivity and poor self-regulation (Eisenberg et al., 2001) may play some role in explaining the link between aggression and sibling antagonism, as might the punitive and harsh parenting practices often be associated with childhood aggression (Pettit, Bates, & Dodge, 1997).
Our findings did not support reciprocal relations between ToM development and sibling antagonism at this young age. Children’s enhanced ToM at 4 months predicted less sibling antagonism toward the infant at 12 months, but sibling antagonism at 4 months did not predict children’s ToM at 12 months. Previous studies have found social-cognitive benefits of mental state conversation among siblings (Foote & Holmes-Lonergan, 2003; Katz et al., 1992), but 4-month-old infants in the current study were no doubt too young to provide the verbally rich language environment that facilitates children’s mental state talk or other-oriented argument strategies. These relations between ToM and sibling interaction may be more prominent as the infant sibling becomes a more vocal and argumentative toddler and should be considered in future research. Still, the presence of an infant sibling could be beneficial for older siblings’ ToM development, perhaps indirectly through mental conversation with the caregivers about the sibling’s desires (Peterson, 2000). Recall that Dunn and Kendrick (1982) reported that mothers’ discussions about the newborn baby as a person with distinct intentions and wants positively predicted children’s verbal references to the infant’s intentions and needs in the following year. Also, the association between sibling antagonism and ToM may eventually depend on the quality (e.g., constructive versus destructive) of sibling conflict and how parents manage the conflict (Foote & Holmes-Lonergan, 2003; Slomkowski & Dunn, 1992). We would recommend that additional studies explicitly examine the role parents play in facilitating their children’s ToM development in the year following the birth of an infant sibling.
Finally, we found partial support for our hypothesis regarding the relation between aggression and ToM development. More aggressive children at the prenatal timepoint had poorer ToM at 4 months, while taking into account the effect of ToM at the prenatal timepoint. Aggression at 4 months, however, did not predict ToM at 12 months directly, although the indirect effect of prenatal aggression on 12-month ToM through 4-month ToM was marginally significant. These results are consistent with the social information processing model that stresses the synergy between emotion and cognition underlying the progressive development of aggressive behaviors (Crick & Dodge, 1994). Lemerise and Arsenio (2000) noted that children with poor emotion regulation skills or high negativity were less likely to engage in effortful cognitive processes to access and evaluate various social cues (e.g., taking another person’s perspective). Similarly, Dodge and Somberg (1987) suggested that a preemptive (i.e., “without thinking”) process occurs more often in negatively charged emotional situations for aggressive children. In line with these empirical findings, our result adds to the notion that aggressive children’s poor emotion regulation combined with poor ToM development may build an affective-cognitive feedback structure that maintains or exacerbates aggression in social settings (Choe et al., 2013).
Our results also confirm that relations between aggression and ToM are not limited to false-belief understanding. Here, we found that children’s aggression predicted poorer understanding of more fundamental and earlier developing ToM components (i.e., understanding diverse desires, diverse beliefs, and knowledge access). Presumably, aggressive children might be at dual-risk because of dispositional characteristics (e.g., less careful, less observant) that are not conducive to developing ToM, as well as involvement in negative social interactions (e.g., having conflicts with parents and siblings, being excluded from sibling interaction by parents due to their aggressive behavior), which might lead to social rejection and more limited opportunities to engage in rich social experiences (Lane et al., 2013; Wellman et al., 2011).
Strengths and Limitations
One of the strengths of the current study was its longitudinal design to test a developmental cascade model that assessed the progression of children’s aggression, ToM, and sibling antagonism as they developed over time in the first year after the sibling’s birth. The findings help identify the processes by which children’s aggression contributes to antagonistic sibling interactions early in life that may set the stage for further maladaptive social behaviors and provides insight into potential targets of intervention to prevent the escalation of aggression and sibling conflict over time. Effective intervention may want to target parents and teach them how best to respond to their children’s aggressive overtures with a newborn infant, as well as positively engage their children in the daily care of their infant sibling with a clear focus on conversing with children about the infant’s own emotional states and needs. Future research is needed that examines explicitly how parents respond to children’s antagonistic behaviors directed toward the infant in the early months to get a better sense of how these processes unfold over time. Another methodological strength was the assessment of ToM. Most studies have only used false-belief tasks to measure children’s social cognition. We utilized false-belief tasks, as well as several other ToM tasks (Wellman & Liu, 2004), which allowed us to more sensitively capture growth in ToM among children across the broad age range of firstborn children included in this study.
Despite these strengths, there are also several limitations. Although we used multiple informants, including mother- and father-reports, to remedy single-reporter bias, parent-reports of children’s aggression and sibling antagonism are not free from biased interpretation. Direct observations of actual sibling interaction and children’s aggression combined with parental-reports would be useful in future investigations. Another limitation of the present study is that participating families were mostly white and middle-class, which may limit the generalizability of the findings to children from different socio-economic and cultural backgrounds. Due to the unique characteristics of the current investigation following firstborn children’s adjustment during the transition to siblinghood, the timepoints were established based on the age of the secondborn children, while the ages of the firstborn children varied considerably. As a result, we must acknowledge the possibility of a floor effect with the ToM measure at the prenatal timepoint when some of the children were quite young. The virtue of the ToM measure (Wellman & Liu, 2004) used in this study, however, is not that it fully captured what children were capable of at this young age, but that it allowed the use of the same tasks across all timepoints so as to track children’s ToM progress over time. It should be noted that the first task of the ToM measure (i.e., not-own desire task) has been used with children as young as 18 months of age (Repacholi & Gopnick, 1997). In an effort to reduce the potential skewness in the ToM measure, we also restricted the age-range of children included in the analysis (18 to 47 months) and statistically controlled for children’s age and verbal IQ. Finally, we used children’s verbal IQ at the 12-month timepoint, when all children were within the normed age range of the WPPSI (i.e., 2.5 years and above), as a statistical control for ToM at all three timepoints retrospectively. Future studies may want to control for concurrent verbal IQ measured at each timepoint when ToM was measured.
The arrival of a sibling dramatically expands social horizons for young firstborn children. How children socially and cognitively benefit from sibling interaction may depend on individual characteristics of children. The current study found that aggressive children before the birth of their sibling were at a greater risk for engaging in more antagonistic sibling interactions after the sibling’s birth. These children were also more likely to experience poorer social-cognitive understanding, which, in turn, led to increased sibling antagonism. The findings underscore how social-cognitive and social-relational correlates of early aggression interact with each other during the first year of siblinghood. Uncovering these longitudinal relations across behavioral, cognitive, and social domains reminds us that there may be many different routes for preventive intervention for children undergoing the transition to siblinghood. Intervening in children’s aggressive behavior may reduce their risk for consequent difficulties in ToM development and poorer sibling relationships. At the same time, facilitating children’s ToM development despite aggressive behavioral characteristics may mitigate the link from aggression to sibling antagonism. One way to facilitate aggressive children’s socio-cognitive development might be through encouraging parents’ use of mentalistic conversations with the child (Lagatutta & Wellman, 2002) and also through ToM training (Lecce, Bianco, Demicheli, & Cavallini, 2014), along with parents’ modeling of prosocial behaviors to improve positive sibling relationship trajectories (Kramer, 2010).
Acknowledgments
The research was supported by grants (R01HD042607, K02HD047423) from the Eunice Kennedy Shriver National Institute of Child Health and Human Development to Brenda L. Volling. We are grateful to the children and parents of the Family Transitions Study, and to the many research assistants who provided invaluable help with data collection. Portions of this research were presented at the annual convention of the American Psychological Association in Orlando, FL, in August 2012.
References
- Achenbach TM, Rescorla LA. Manual for the ASEBA preschool forms & profiles. Burlington, VT: University of Vermont, Research center for children, youth, & families; 2000. [Google Scholar]
- Adrián JE, Clemente RA, Villanueva L. Mothers’ use of cognitive state verbs in picture-book reading and the development of children’s understanding of mind: A longitudinal study. Child Development. 2007;78:1052–1067. doi: 10.1111/j.1467-8624.2007.01052.x. [DOI] [PubMed] [Google Scholar]
- Alink LA, Mesman J, van Zeijl J, Stolk MN, Juffer F, Koot HM, … van IJzendoorn MH. The early childhood aggression curve: Development of physical aggression in 10- to 50-month-old children. Child Development. 2006;77:954–966. doi: 10.1111/j.1467-8624.2006.00912.x. [DOI] [PubMed] [Google Scholar]
- Arbuckle JL. IBM SPSS Amos 22 User’s Guide. 2013. [Google Scholar]
- Caspi A, Moffitt TE. The continuity of maladaptive behavior: From description to understanding in the study of antisocial behavior. In: Cicchetti D, Cohen DJ, editors. Developmental psychopathology, Vol. 2: Risk, disorder, and adaptation. Oxford, England: John Wiley & Sons; 1995. pp. 472–511. [Google Scholar]
- Choe DE, Lane JD, Grabell AS, Olson SL. Developmental precursors of young school-age children’s hostile attribution bias. Developmental Psychology. 2013;49:2245–2256. doi: 10.1037/a0032293. [DOI] [PubMed] [Google Scholar]
- Crick NR, Dodge KA. A review and reformulation of social information-processing mechanisms in children’s social adjustment. Psychological Bulletin. 1994;115:74–101. doi: 10.1037/0033-2909.115.1.74. [DOI] [Google Scholar]
- Dirks MA, Persram R, Recchia HE, Howe N. Sibling relationships as sources of risk and resilience in the development and maintenance of internalizing and externalizing problems during childhood and adolescence. Clinical Psychology Review. 2015 doi: 10.1016/j.cpr.2015.07.003. in press. [DOI] [PubMed] [Google Scholar]
- Dodge KA, Coie JD. Social-information-processing factors in reactive and proactive aggression in children’s peer groups. Journal of Personality and Social Psychology. 1987;53:1146–1158. doi: 10.1037/0022-3514.53.6.1146. [DOI] [PubMed] [Google Scholar]
- Dodge KA, Somberg DR. Hostile attributional biases among aggressive boys are exacerbated under conditions of threats to the self. Child Development. 1987;58:213–224. doi: 10.2307/1130303. [DOI] [PubMed] [Google Scholar]
- Dunn J, Brown J, Slomkowski C, Tesla C, Youngblade L. Young children’s understanding of other people’s feelings and beliefs: Individual differences and their antecedents. Child Development. 1991;62:1352–1366. doi: 10.2307/1130811. [DOI] [PubMed] [Google Scholar]
- Dunn J, Kendrick C. Siblings: Love, envy and understanding. Cambridge, MA: Harvard University Press; 1982. [Google Scholar]
- Dunn J, Munn P. Sibling quarrels and maternal intervention: Individual differences in understanding and aggression. Child Psychology & Psychiatry & Allied Disciplines. 1986;27:583–595. doi: 10.1111/j.1469-7610.1986.tb00184.x. [DOI] [PubMed] [Google Scholar]
- Eisenberg N, Cumberland A, Spinrad TL, Fabes RA, Shepard SA, Reiser M, … Guthrie IK. The relations of regulation and emotionality to children’s externalizing and internalizing problem behavior. Child Development. 2001;72:1112–1134. doi: 10.1111/1467-8624.00337. [DOI] [PubMed] [Google Scholar]
- Ensor R, Marks A, Jacobs L, Hughes C. Trajectories of antisocial behaviour towards siblings predict antisocial behaviour towards peers. Journal of Child Psychology and Psychiatry. 2010;51:1208–1216. doi: 10.1111/j.1469-7610.2010.02276.x. [DOI] [PubMed] [Google Scholar]
- Fink E, Begeer S, Hunt C, de Rosnay M. False-belief understanding and social preference over the first 2 years of school: A longitudinal study. Child Development. 2014;85:2389–2403. doi: 10.1111/cdev.12302. [DOI] [PubMed] [Google Scholar]
- Foote RC, Holmes-Lonergan HA. Sibling conflict and theory of mind. British Journal of Developmental Psychology. 2003;21:45–58. doi: 10.1348/026151003321164618. [DOI] [Google Scholar]
- Garcia MM, Shaw DS, Winslow EB, Yaggi KE. Destructive sibling conflict and the development of conduct problems in young boys. Developmental Psychology. 2000;36:44–53. doi: 10.1037/0012-1649.36.1.44. [DOI] [PubMed] [Google Scholar]
- Herrera C, Dunn J. Early experiences with family conflict: Implications for arguments with a close friend. Developmental Psychology. 1997;33:869–881. doi: 10.1037/0012-1649.33.5.869. [DOI] [PubMed] [Google Scholar]
- Howe N, Rinaldi CM, Jennings M, Petrakos H. ‘No! The lambs can stay out because they got cozies!’: Constructive and destructive sibling conflict, pretend play, and social understanding. Child Development. 2002;73:1460–1473. doi: 10.1111/1467-8624.00483. [DOI] [PubMed] [Google Scholar]
- Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling. 1999;6:1–55. doi: 10.1080/10705519909540118. [DOI] [Google Scholar]
- Hughes C, Ensor R. Executive function and theory of mind in 2 year olds: A family affair? Developmental Neuropsychology. 2005;28:645–668. doi: 10.1207/s15326942dn2802_5. [DOI] [PubMed] [Google Scholar]
- Hughes C, Ensor R. Behavioural problems in 2-year-olds: Links with individual differences in theory of mind, executive function and harsh parenting. Journal of Child Psychology and Psychiatry. 2006;47:488–497. doi: 10.1111/j.1469-7610.2005.01519.x. [DOI] [PubMed] [Google Scholar]
- Hughes C, Leekam S. What are the links between theory of mind and social relations? Review, reflections and new directions for studies of typical and atypical development. Social Development. 2004;13:590–619. doi: 10.1111/j.1467-9507.2004.00285.x. [DOI] [Google Scholar]
- Hyde LW, Shaw DS, Gardner F, Cheong J, Dishion TJ, Wilson M. Dimensions of callousness in early childhood: Links to problem behavior and family intervention effectiveness. Development and Psychopathology. 2013;25:347–363. doi: 10.1017/S0954579412001101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Katz LF, Kramer L, Gottman JM. Conflict and emotions in marital, sibling, and peer relationships. In: Shantz CU, Hartup WW, editors. Conflict in child and adolescent development. New York, NY, US: Cambridge University Press; 1992. pp. 122–149. [Google Scholar]
- Kline RB. Principles and practice of structural equation modeling. 2. New York, NY, US: Guilford Press; 2005. [Google Scholar]
- Kramer L. The essential ingredients of successful sibling relationships: An emerging framework for advancing theory and practice. Child Development Perspectives. 2010;4:80–86. doi: 10.1111/j.1750-8606.2010.00122.x. [DOI] [Google Scholar]
- Lagattuta KH, Wellman HM. Differences in early parent-child conversations about negative versus positive emotions: Implications for the development of psychological understanding. Developmental Psychology. 2002;38:564–580. doi: 10.1037/0012-1649.38.4.564. [DOI] [PubMed] [Google Scholar]
- Lane JD, Wellman HM, Olson SL, Miller AL, Wang L, Tardif T. Relations between temperament and theory of mind development in the United States and China: Biological and behavioral correlates of preschoolers’ false-belief understanding. Developmental Psychology. 2013;49:825–836. doi: 10.1037/a0028825. [DOI] [PubMed] [Google Scholar]
- Lecce S, Bianco F, Demicheli P, Cavallini E. Training preschoolers on first-order false belief understanding: Transfer on advanced ToM skills and metamemory. Child Development. 2014;85:2404–2418. doi: 10.1111/cdev.12267. [DOI] [PubMed] [Google Scholar]
- Lemerise EA, Arsenio WF. An integrated model of emotion processes and cognition in social information processing. Child Development. 2000;71:107–118. doi: 10.1111/1467-8624.00124. [DOI] [PubMed] [Google Scholar]
- MacKinnon DP, Lockwood CM, Hoffman JM, West SG, Sheets V. A comparison of methods to test mediation and other intervening variable effects. Psychological Methods. 2002;7:83–104. doi: 10.1037/1082-989X.7.1.83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Masten AS, Cicchetti D. Developmental cascades. Development and Psychopathology. 2010;22:491–495. doi: 10.1017/S0954579410000222. [DOI] [PubMed] [Google Scholar]
- McElwain NL, Olson SL, Volling BL. Concurrent and longitudinal associations among preschool boys’ conflict management, disruptive behavior, and peer rejection. Early Education and Development. 2002;13:245–263. doi: 10.1207/s15566935eed1303_1. [DOI] [Google Scholar]
- Meltzoff AN. Understanding the intentions of others: Re-enactment of intended acts by 18-month-old children. Developmental Psychology. 1995;31:838–850. doi: 10.1037/0012-1649.31.5.838. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Minde K. Aggression in preschoolers: Its relation to socialization. Journal of the American Academy of Child & Adolescent Psychiatry. 1992;31:853–862. doi: 10.1097/00004583-199209000-00012. [DOI] [PubMed] [Google Scholar]
- Oh W, Volling BL, Gonzalez R. Trajectories of children’s social interactions with their infant sibling in the first year: A multidimensional approach. Journal of Family Psychology. 2015;29:119–129. doi: 10.1037/fam0000051. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Olson SL, Lopez-Duran N, Lunkenheimer ES, Chang H, Sameroff AJ. Individual differences in the development of early peer aggression: Integrating contributions of self-regulation, theory of mind, and parenting. Development and Psychopathology. 2011;23:253–266. doi: 10.1017/S0954579410000775. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Patterson GR. Performance models for antisocial boys. American Psychologist. 1986;41:432–444. doi: 10.1037/0003-066X.41.4.432. [DOI] [PubMed] [Google Scholar]
- Pettit GS, Bates JE, Dodge KA. Supportive parenting, ecological context, and children’s adjustment: A seven-year longitudinal study. Child Development. 1997;68:908–923. doi: 10.1111/j.1467-8624.1997.tb01970.x. [DOI] [PubMed] [Google Scholar]
- Perlman M, Ross HS. The benefits of parent intervention in children’s disputes: An examination of concurrent changes in children’s fighting styles. Child Development. 1997;68:690–700. doi: 10.1111/j.1467-8624.1997.tb04230.x. [DOI] [Google Scholar]
- Peterson CC. Influence of siblings’ perspectives on theory of mind. Cognitive Development. 2000;15:435–455. doi: 10.1016/S0885-2014(01)00040-5. [DOI] [Google Scholar]
- Peterson CC, Wellman HM, Slaughter V. The mind behind the message: Advancing theory-of-mind scales for typically developing children, and those with deafness, autism, or Asperger syndrome. Child Development. 2012;83:469–485. doi: 10.1111/j.1467-8624.2011.01728.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Repacholi BM, Gopnik A. Early reasoning about desires: Evidence from 14- and 18-month-olds. Developmental Psychology. 1997;33:12–21. doi: 10.1037/0012-1649.33.1.12. [DOI] [PubMed] [Google Scholar]
- Saarni C. The development of emotional competence. New York: Guilford; 1999. [Google Scholar]
- Shaw DS, Gross H. Early childhood and the development of delinquency: What we have learned from recent longitudinal research. In: Lieberman A, editor. The long view of crime: A synthesis of longitudinal research. New York: Springer; 2008. pp. 79–127. [Google Scholar]
- Slomkowski CL, Dunn J. Arguments and relationships within the family: Differences in young children’s disputes with mother and sibling. Developmental Psychology. 1992;28:919–924. doi: 10.1037/0012-1649.28.5.919. [DOI] [Google Scholar]
- Sobel ME. Asymptotic confidence intervals for indirect effects in structural equation models. In: Leinhardt S, editor. Sociological methodology. Washington, DC: American Sociological Association; 1982. pp. 290–312. [Google Scholar]
- Song J-H, Volling BL. Coparenting and children’s temperament predict firstborns’ cooperation in the care of an infant sibling. Journal of Family Psychology. 2015;29:130–135. doi: 10.1037/fam0000052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stewart RJ. The second child: Family transition and adjustment. Thousand Oaks, CA, US: Sage Publications, Inc; 1990. [Google Scholar]
- Stewart RB, Marvin RS. Sibling relations: The role of conceptual perspective-taking in the ontogeny of sibling caregiving. Child Development. 1984;55:1322–1332. doi: 10.2307/1130002. [DOI] [Google Scholar]
- Stillwell R, Dunn J. Continuities in sibling relationships: Patterns of aggression and friendliness. Child Psychology & Psychiatry & Allied Disciplines. 1985;26:627–637. doi: 10.1111/j.1469-7610.1985.tb01645.x. [DOI] [PubMed] [Google Scholar]
- Tremblay RE, Nagin DS, Séguin JR, Zoccolillo M, Zelazo PD, Boivin M, Pérusse D, Japel C. Physical Aggression During Early Childhood: Trajectories and Predictors. Canadian Child and Adolescent Psychiatry Review. 2004;14:3–9. [PMC free article] [PubMed] [Google Scholar]
- Volling BL, Elins J. Family relationships and children’s emotional adjustment as correlates of maternal and paternal differential treatment: A replication with toddler and preschool siblings. Child Development. 1998;69:1640–1656. [PubMed] [Google Scholar]
- Wechsler D. Wechsler preschool and primary scale of intelligence. 3. San Antonio, TX: The Psychological Corporation; 2002. [Google Scholar]
- Wellman HM. Making minds: How theory of mind develops. New York, NY, US: Oxford University Press; 2014. [Google Scholar]
- Wellman HM, Lane JD, LaBounty J, Olson SL. Observant, nonaggressive temperament predicts theory of mind development. Developmental Science. 2011;14:319–326. doi: 10.1111/j.1467-7687.2010.00977.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wellman HM, Liu D. Scaling of theory-of-mind tasks. Child Development. 2004;75:523–541. doi: 10.1111/j.1467-8624.2004.00691.x. [DOI] [PubMed] [Google Scholar]
- Wood JJ, Cowan PA, Baker BL. Behavior problems and peer rejection in preschool boys and girls. The Journal of Genetic Psychology: Research and Theory on Human Development. 2002;163:72–88. doi: 10.1080/00221320209597969. [DOI] [PubMed] [Google Scholar]


