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. Author manuscript; available in PMC: 2014 Feb 1.
Published in final edited form as: Dev Psychopathol. 2013 Feb;25(1):241–251. doi: 10.1017/S0954579412000995

Changes in Marital Conflict and Youths’ Responses Across Childhood and Adolescence: A Test of Sensitization

Marcie C Goeke-Morey 1, Lauren M Papp 2, E Mark Cummings 3
PMCID: PMC3677539  NIHMSID: NIHMS475146  PMID: 23398762

Abstract

Although the sensitization hypothesis is fundamental to process-oriented explanations of the effects of marital conflict on children, few longitudinal tests of the theory’s propositions have been conducted. This prospective, longitudinal study (n = 297 families) used HLM to assess changes in dimensions of responding to conflict (i.e., emotional, cognitive, behavioral) for three consecutive years in youth between the ages of 8 and 19 years. Moreover, to test the notion of sensitization, analyses examined whether change in marital conflict predicted change in children’s responding across middle childhood and adolescence. Supporting the sensitization hypothesis, increases in exposure to hostile marital conflict were associated with increases in children’s negative emotionality, threat, self blame, and skepticism about resolution. With a few exceptions, effects were largely consistent for boys and girls, and for younger and older children.

Keywords: marital conflict, sensitization, reactivity


The negative implications of exposure to hostile marital conflict for children across a wide spectrum of response processes, including emotions, behaviors, and cognitions, are well documented (see Cummings & Davies, 2010; Rhoades, 2008). The sensitization hypothesis proposes that rather than habituating to stress, children’s reactivity along these dimensions intensifies with increased exposure to destructive forms of conflict. Despite the fact that this notion has long had currency (e.g., Cummings, Zahn-Waxler, & Radke-Yarrow, 1981; Grych, 1998), and the findings of many cross-sectional and experimental (Davies, Myers, Cummings, & Heindel, 1999) studies support the proposition, significant gaps remain in the literature regarding the cogency of this hypothesis. Specifically, the principal notion that increases in hostile conflict exposure lead to changes in various dimensions of children’s responding over time has rarely been examined empirically in prospective longitudinal tests (Davies, Sturge-Apple, Winter, Cummings, & Farrell, 2006). Given the status of the sensitization hypothesis as a foundational assumption of process-oriented explanations for relations between marital conflict and child adjustment (Cummings & Davies, 2002), elaboration of the dimensions of responding in which sensitization is engaged is warranted. Empirical examination of change in marital hostility and children’s responses to conflict in the context of a prospective longitudinal design is a significant step toward furthering our understanding of these important developmental issues and disentangling normative developmental changes in reactivity to conflict from changes associated with increased exposure.

Two leading conceptual models have been proposed to explain children’s responses to conflict, the cognitive contextual framework and emotional security theory. Each of these complementary theories can be interpreted to assume a sensitization hypothesis, and the limited longitudinal tests of these theories can be seen to support sensitization notions, but direct tests of propositions of the sensitization hypothesis are lacking. According to the cognitive-contextual framework (Grych & Fincham, 1990), when children are exposed to interparental conflict, they make appraisals about the degree to which the interaction poses a threat to their own and their family’s well-being, and about the extent to which they are to blame. These appraisals are informed by the nature of interparental conflict as well as the context in which it occurs, and they shape children’s evaluation and response. Emotional security theory (EST, Davies & Cummings, 1994; Davies, Harold, Goeke-Morey, & Cummings, 2002) posits that exposure to chronic, destructive marital conflict undermines children’s feelings of security regarding the stability of the family. The emotional security response system regulates, organizes, and motivates children’s response to marital discord through three component processes: emotional reactions (e.g., negative emotional reactivity), cognitive representations (e.g., confidence in parents’ ability to resolve conflict), and behavioral action tendencies (e.g., regulation of exposure to conflict through intervention or avoidance). Although each of these component processes is proposed to serve as an indicator of emotional security, emotional reactivity is thought to serve as the primary guide for responding (Davies et al., 2002). Extensive evidence supports the link between conflict and each of the dimensions of responding posited by these theories (see Buehler, Lange, & Franck, 2007; Cummings & Davies, 2002; Grych & Fincham, 2001).

Each of these emotional, behavioral, and cognitive response processes reflects a general higher order notion of negative impact for children. Heightened responding in any of these interrelated by distinct dimensions may be cause for concern, as each generally reflects an activation of emotional insecurity (Davies & Cummings, 1994), including a judgment on the part of the child that the conflictual interaction poses a significant threat to themselves or their family (Grych & Fincham, 1990). Both theories support the notion that repeated exposure to hostile conflict places children at risk for heightened responding in any of these dimensions, although it remains an open question which systems are primarily engaged by repeated exposure, or sensitive to changes in exposure history.

Questions also remain about changes in responding as a function of age and developmental stage. Developmental theory suggests that children become better able to cope with stressors and regulate their emotions across childhood (Cummings & Davies, 2010). In addition, older children, particularly adolescents, have greater capabilities to regulate their exposure to conflict by leaving when conflict begins or by spending time away from highly conflictual homes, and their agentic efforts to influence the course of parents’ conflict are likely to be more effective than younger children’s. Cross-sectional research supports the relation between conflict exposure and children’s emotional, behavioral, and cognitive responses across childhood. It is unclear whether these relations hold longitudinally during this period and whether one age group is more vulnerable than another to these processes over time. In their meta-analysis of 68 studies, mostly based on cross-sectional designs, Buehler and colleagues (2007) concluded that age was not a significant moderator of the effect of marital conflict; however, they identified variability in effect sizes indicating a need for further research.

Results from cross-sectional studies suggest that age differences in children’s responses to conflict merit consideration. For example, Cummings, Ballard, and El-Sheikh (1991) examined differences in the responses of 9–11, 13–15, and 17–19 year olds to analog presentations of conflict. These researchers showed that older children reported less emotional distress, including anger and fear, than younger children in response to hostile disputes, perhaps indicating less threat appraisals. Furthermore, older children reported greater inclination to become involved in their parents’ conflict (see also Davies et al., 1999) and lower expectations about future relationship quality; older children have been shown to blame themselves less for parents’ anger (Covell & Abramovitch, 1985). Using an audiotape analog methodology, Grych (1998) found that 7–9 year olds reported greater appraisals of threat and self-blame, and lower coping efficacy, than 10–12 year olds. Limited longitudinal work suggests that threat attributions decline with age, whereas self blame remains stable (Richmond & Stocker, 2007).

These findings may appear to suggest that children become less vulnerable to marital conflict with age, however such a conclusion is premature. While the manifestation of distress may vary developmentally, the emotional security implications of conflict may not lessen with age. Indeed, Cummings, Schermerhorn, Davies, Goeke-Morey, and Cummings (2006) found that marital conflict was an even stronger predictor of children’s emotional security for older children. More sophisticated social cognitions may make older children more sensitive to the nuances of conflict expression and potential negative implications of parents’ marital problems (Davies & Windle, 2001). Furthermore, the stronger impact of marital conflict on emotional security or subsequent adjustment as children get older may be due in part to a confounding of age and exposure history (Cummings et al.). It is likely the case for many children that conflict exposure has intensified over time, which may account for more extreme responses.

Consistent with contemporary theory suggesting that children become sensitized to interparental disputes, repeated exposure to hostile interparental conflict has been shown to lead to greater reactivity in children. The finding has been replicated with children from preschool (El-Sheikh, Cummings, & Reiter, 1996) through late adolescence (David & Murphy, 2004) across various dimensions of responding, including emotional reactivity, behavior, and cognitive appraisals. Most studies of children’s sensitization have relied on cross sectional designs. Understanding how interparental conflict impacts reactivity to conflict over time requires prospective assessments of change in children’s responses to interparental conflict. In one of the few studies to evaluate stability and change in children’s responses to interparental conflict, Davies and colleagues (2006) evaluated reactivity to conflict in early elementary-aged children at two points in time. The resulting model tests indicated that interparental hostility predicted child overt reactivity concurrently and one year later, and that interparental withdrawal during conflict predicted concurrent levels and increases in emotional reactivity and negative representations, further supporting the notion of sensitization. Some of the many contributions of the study were the demonstration that conflict exposure led to sensitization across multiple dimensions of responding, and that specific aspects of conflict, namely hostility and withdrawal, differentially predicted increases in dimensions of reactivity currently and one year later.

The current study extends Davies et al.’s (2006) work in several regards. First, although their two wave SEM analysis advanced understanding of rank order change beyond what is possible with cross-sectional designs, it does not inform the question of how individual children change over time. In the current study, HLM analyses will be conducted with three waves of data to examine intraindividual change in reactivity over time, as well as the within (i.e., conflict exposure) and between (i.e., gender) person factors that contribute to change. Furthermore, Davies et al. examined marital conflict at a single point in time, but research has shown that couples’ conflict changes, in significantly variable ways, over time (Umberson, Williams, Powers, Chen, & Campbell, 2005). In order to fully appreciate the interplay between the dynamic processes involved, the current project will examine intraindividual change in conflict exposure as a predictor of intraindividual change in children’s responses to conflict. Finally, whereas the participants in the Davies et al. study were 6 and 7 years, in the current study, children range in age from 8 to 19 years.

To our knowledge there is limited research following the logic of the present study for testing sensitization, that is, the extent to which change in conflict properties relates to change in children’s responding over time. One notable exception is a study in which Richmond and Stocker (2007) used this conceptualization to examine the association between change in conflict exposure and change in children’s appraisals of threat and self blame. They found that increases in conflict exposure predicted increases in appraisals of threat, but not self blame, from childhood through adolescence. The current study extends their work to include responses to conflict indicative of emotional security (i.e., emotional, behavioral, and cognitive responses) in addition to appraisals of self blame and threat. Furthermore, the current analyses will consider whether older or younger children are more susceptible to these sensitization processes.

It is unresolved whether child gender plays a role in the effect of marital conflict. Major empirical studies and meta-analyses generally do not find gender to be a significant moderator of the direct effect of marital conflict (Buehler, Anthony, Krishnakumar, & Stone, 1997; McDonald & Grych, 2006) and differences that do exist in the literature are often inconsistent or even contradictory (Davies & Lindsay, 2001), suggesting that both boys and girls are vulnerable to insecurity and negative appraisals in response to interparental conflict.

An important consideration, however, as Davies and Lindsay (2001) indicate in their review, is that the effect of gender likely depends on children’s developmental level, and consequently may change over time. Cross-sectional research supports the theory that boys are likely to be particularly vulnerable to conflict in early childhood (Laumakis, Margolin, & John., 1998), and girls more susceptible to negative effects of conflict, particularly depressive symptoms, beginning in early adolescence (Davies & Lindsay, 2004). Limited longitudinal work suggests greater increases in reactivity with age, particularly threat appraisals, for girls than for boys (Richmond & Stocker, 2007). Gender intensification theory has been identified as one possible explanation for the proposed shift in effects, suggesting that with the onset of adolescence, children subscribe more to traditional gender roles (see Ruble & Martin, 1998). As a result, boys are hypothesized to develop greater independence and concern for self protection whereas girls are hypothesized to become increasingly interdependent with greater concern for connectedness and close relationships, and thus more reactive to interparental conflict. Furthermore, gender role theories suggest that children’s manifestation of vulnerability may vary across gender, in keeping with conventional gender roles and expectations for proper behavior. For example, Davies and Lindsay (2004) reported that girls’ higher levels of communion moderated the impact of conflict on internalizing problems, further supporting the possibility that girls’ increased concern for interpersonal relationships in adolescence may partly account for girls’ increased vulnerability to emotional or internalizing problems as a result of interparental conflict. In keeping with the notion that girls are more concerned for the implications of conflict (Laursen, 1993), David and Murphy (2004) found that late adolescent girls from high conflict homes were more pessimistic than boys about the implications of parents’ conflict. Although these examples support socialization as an explanation for gender differences in responses to conflict at different points in development, in the absence of longitudinal research spanning childhood and adolescence, conclusions about change remain speculative.

The Current Study

The current study aims to address some of the critical questions that remain regarding the pattern of relations that may exist when changes in marital conflict and children’s responses to conflict (i.e., cognitive, emotional, and behavioral processes) are considered across time. 1) Specifically, in this 3 year prospective, longitudinal study we examine change in responses to conflict in children spanning the range from middle childhood through late adolescence. Based on previous empirical work, it is hypothesized that threat, emotional reactivity, and confidence regarding resolution will decline with age (Davies et al., 2006; Richmond & Stocker, 2007), self blame will remain stable (Richmond & Stocker, 2007), and involvement will increase with age (Cummings et al., 1991). However, given the lack of previous longitudinal work, and conflicting theoretical assumptions, these hypotheses are speculative. 2) Moreover, moving beyond a static measure of marital functioning, we explore the extent to which change in marital conflict predicts change in children’s reactivity, and whether older or younger children are more vulnerable. Examining change in conflict responses as a function of change in conflict in the current study may help disentangle normative developmental changes in reactivity to conflict from changes associated with increased exposure. In keeping with the sensitization hypothesis, we expect that as conflict becomes more frequent and intensely hostile, children will grow increasingly negative in their emotional reactions and appraisals, and feel a greater inclination toward intervention in the conflict. Considering the primacy in emotional security theory of emotional responding, and the implication for appraisal of threat, we expect these to be particularly vulnerable to sensitization. 3) Finally, we consider whether any of these patterns of change differ as a function of child gender. If gender intensification theory holds as an explanation for responses to conflict across adolescence, we expect increases in interparental hostility will contribute to girls’, but not boys’, greater emotional reactivity and more negative cognitive representations about the implications of conflict for future interparental relationship quality during the transition to and through adolescence.

Methods

Participants

The sample included 297 families in a Midwestern town with two cohabiting parents and at least one child. At the start of the three year study, children (48% girls) ranged in age from 8 to 16 years (M = 11.1 years, SD = 2.3 year). Age distribution at wave 1 was as follows: 8 yr (21%), 9 (18%), 10 (14.5%), 11 (13.5%), 12 (10.5%), 13 (8%), 14 (6%), 15 (5%), and 16 (3.5%). Ninety-six percent of couples were married (M = 13 years, SD = 6 years), and all had lived together for a minimum of two years. Forty-two percent of the sample (26% wives, 28% husbands) reported that their marriages were disharmonious, as indicated by a score of less than 100 on at least one of the spouse’s Marital Adjustment Test (MAT; Locke & Wallace, 1959; e.g., Crane, Allgood, Larson, & Griffin, 1990). Moreover, 22% of couples (15% of wives, 13% of husbands) reported that their marriages were extremely disharmonious, as indicated by scores of less than 85 on at least one of the spouse’s MAT questionnaires.

Children were primarily European American (85%), with 9% African American, 2% Hispanic American, and 3% multiracial or other. Median family income fell between $45,000 and $65,000 (44%), but ranged from less than $10,000 (2%) to more than $80,000 (13%). Mothers’ mean age was 38 years (SD = 6 years); fathers’ mean age was 40 years (SD = 7 years). Nearly all mothers and fathers, respectively, completed high school or equivalent (98% and 95%); 35% of mothers and 41% of fathers obtained a college degree (i.e., B.A./B.S. level or above). Families were recruited through a variety of means, including letters sent through the schools, direct mailings to homes, and notices posted in the community. If the family included more than one child in the age range, the parents selected one target child.

Two hundred thirty four families completed all three waves of data collection. An additional 19 and 13 completed wave 2 and wave 3, respectively. Notably, all families were included in the multilevel models due to HLM’s capacity to accommodate missing data. Only one difference emerged between demographic characteristics of those completing all waves and those missing one or two waves. That is, fathers completing all three waves were slightly more educated than those missing data at one or both subsequent waves, t (294) = −3.91, p < .001. Those completing all waves did not differ from those missing at a later point in terms of any study variables (i.e., conflict exposure, response to conflict), with one exception: Children missing at a later point (M = 7.54, SD = 1.93) were less confident in their parents’ ability to resolve conflict than those present at all waves (M = 8.25, SD = 1.70), t (268) = −2.57, p = .011.

Procedures

This report is drawn from a larger study of family, marital, and psychosocial functioning. Only procedures or measures used in the current report are described here. Participants completed assessments each year for three consecutive years. Data collection entailed one (approximately 3 hr) or two (approximately 2 hr each) private laboratory sessions each year depending on the participants’ condition with regard to an aspect of the broader project not central to the current analysis.

During the sessions, parents engaged in a conflict resolution task that was videotaped and shown to the child. In addition, children completed an analog procedure in which they responded to a series of video stimuli depicting actors engaging in a variety of conflict expressions. Finally, participants completed questionnaires. Families received monetary compensation for their involvement in the study. The project was approved by the university’s committee for the protection of human subjects, and each participant provided informed consent or assent prior to beginning their participation each year.

Children’s Responses to Analog Presentations of Conflict

Children participated in an analog procedure that involved responding to the presentation of a variety of conflict expressions in a controlled laboratory context (see author identifying citation for a complete description of the methodology and interview). Analog procedures elicit scripts that lead to reaction patterns approximating those that occur in real life, while allowing the researcher to enhance internal validity by maintaining a high degree of control over the stimuli presented.

To serve as a stem for analog presentations, the examiner described one of two common interparental conflict topics (i.e., a messy house or making an expensive purchase) in vivid detail so children could visualize the situation as if it were occurring at home between their own parents. Thematic content was consistent across the two scenarios. Children were then shown a video clip and instructed to imagine the man and woman were their parents. Each video clip was a short segments (5 to 10 seconds) depicting one of a number of hostile, destructive conflict tactics (i.e., physical aggression-person, physical aggression-object, threat to leave, personal insult, verbal anger, stonewalling, physical distress, pursuit, defensiveness, withdrawal from the interaction, hostile unresolved ending). Before each clip, the experimenter reminded children of the scene and explained that this time the parents did something different. Clips of more constructive expressions were interspersed, but responses to those expressions were not included in the current analyses. Comparable videos were created with White, Black, and Latino actors; children were presented with the tape that most closely corresponded to their family’s race. Children saw the same video each year of data collection.

Following the presentation of each conflict expression, the experimenter asked the children a series of questions designed to tap components of emotional security. To assess the children’s emotional reactivity, the experimenter asked how the children would feel if the interaction were occurring between their parents. Children chose from a set of five descriptors (i.e., happy, mad, sad, scared, ok) and rated the intensity of the emotion of a scale from 1 (not at all) to 10 (a whole lot). Children could endorse multiple emotions, but for these analyses, only the maximum value for either mad, sad, or scared responses for each clip was included in the analysis.

Next, to assess involvement, children were asked what they would do if they were in the room with their parents during the conflict interaction. Open-ended responses were coded along 5-point scales of intervention and avoidance, respectively. Codes of 0 reflected no involvement/avoidance (e.g., nothing, play, continue previous activity), 2 reflected active intervention (e.g., suggesting a solution, taking care of the problem) or active avoidance (e.g., going away, leaving room), and 4 reflected extreme intervention (e.g., punishing parents, calling police, pleading with parents to stay) and extreme avoidance (e.g., running and hiding, going to secret place). All responses were coded twice and the scores of the two coders were averaged for each clip. Correlation between coders’ responses for intervention ranged from .96–.98, p < .001, for avoidance ranged from .97–.99, p < .001.

Finally, to assess cognitive representations of parents’ conflict, the examiner asked the children how much they thought the parents would resolve the problem. Children responded using a 10 point scale from 1 (not at all) to 10 (a whole lot).

Children’s responses to each question were averaged across the 11 hostile conflict expressions in order to create composite scores for intensity of negative emotionality, intervention, and cognitive representations, respectively.

Children’s Responses to Parents’ Conflict Resolution Interaction

In order to assess children’s responses to their own parents’ actual marital conflict, children watched a video of their parents engaged in a conflict resolution task in the lab. This protocol complements the highly controlled analog procedure by providing a stimulus with greater ecological validity. Across these two methodologies, then, we are able to enhance both internal and external validity and obtain a more sophisticated test of the phenomenon of interest. The goal of the parent video was to present an ecologically-valid stimulus, but at the same time we were sensitive to ethical concerns of exposing children to hostile interparental conflict in the lab. So, we asked parents to discuss for 7.5 minutes a topic that was a problem for them, but that they were generally able to handle reasonably well when it arose. Parents were aware that the videos would be shown to their child and were asked to choose an appropriate topic. After the interaction was complete, and consent was obtained from each parent, the video was shown to the child. Only 1 parent refused consent in wave 1; 2 parents refused in each of the later two waves. In addition, a minority of children (27 in wave 1, 16 in wave 2, 25 in wave 3) are missing this data due to one or more family member being absent from part or all of the lab session, or, in rare cases, due to experimenter error. Before the video began, children were asked how they felt knowing their parents would be discussing the topic chosen, and how much they thought their parents would work out the problem. The tape was stopped every 1.5 minutes so children could answer the same emotional reactivity and cognitive representation questions described above about the previous segment. Interview questions and response formats were the same as those used for the analog presentations.

Questionnaires

Children’s exposure to hostile conflict

A combination of parent and child report was used to measure children’s exposure to hostile interparental conflict. Mothers and fathers each completed the nine item O’Leary Porter Scale (OPS; Porter & O’Leary, 1980). This instrument assesses children’s exposure to overt interparental hostility on a scale from 0 (never) to 4 (very often). Alphas for mothers’ ranged from .83 to .84, and fathers’ from .80 to .82 across the three waves of data collection. Correlations between mother and father report ranged from .59 to .64 (M = .59) across the three years of the study. In addition, children completed the conflict properties scale of the Children’s Perceptions of Interparental Conflict scale (CPIC; Grych, Seid, & Fincham, 1993), which assesses the frequency, intensity, and lack of resolution of parents’ conflict. Alphas ranged from .89 to .91 across waves. Correlations between parent OPS and CPIC conflict property ranged from .39 to .56 (M = .46) across the three years of the study. A composite score was created by combining standardized measures of OPS (mother and father average) and CPIC conflict properties subscale.

Children’s appraisals of conflict

Children reported their feelings of threat and self blame in response to parents’ conflict using the Children’s Perceptions of Interparental Conflict scale (CPIC; Grych et al., 1993). Alphas for threat ranged from .81 to .85 across the three years of the study; alphas for self blame ranged from .74 to .82.

Analysis Plan

In order to examine the study questions, we conducted hierarchical linear modeling (HLM) using HLM 6.06 (Raudenbush, Bryk, & Congdon, 2004). HLM was an appropriate framework for our study because it allowed us to examine predictors of change over time, while accommodating missing data and diversity in ages of the participants across the data points (Singer & Willet, 2002). Each model is comprised of two levels: a within-person model (Level 1) that estimates an intercept and slope for each participant, and a between-person model (Level 2) that allows for examination of inter-individual differences in the Level-1 estimates. The coefficient (γ) can be interpreted in a similar way as an unstandardized beta in OLS regression.

In the primary analyses, we conducted a series of HLMs examining change in children’s reactions to conflict with increasing age. To test whether changes in exposure to conflict were associated with changes in children’s responses, we added conflict exposure (i.e. combined parent report OPS and child report CPIC conflict properties) at Level-1 as a time varying covariate. At this level conflict exposure was person mean centered (i.e., each youth’s average exposure across waves was subtracted from the youth’s exposure score at each wave) and represents a child’s deviation from his or her mean over time. The youth’s average conflict exposure was entered as a predictor of the intercept in Level 2. This method of centering ensured that changes in exposure were not confounded with levels of exposure. Using this technique, a significant time-varying covariate at Level 1 indicates that changes in exposure to marital conflict were related to changes in reactivity to conflict (controlling for developmental change in reactivity and mean levels of exposure to marital conflict).

In order to examine whether older or younger children were more vulnerable to sensitization, we included the Age × Conflict Exposure interaction term in these models. To aid in the interpretation of significant Age × Conflict Exposure interactions, follow up tests were conducted with age centered at 8 years and at 16 years. In order to determine whether any of these associations varied for boys and girls, gender was included as a predictor in each Level-2 equation. To demonstrate the HLMs used for these analyses, we provide the following illustration examining change in appraisal of Threat:

Level-1Model:Threat=β0+β1(Agecenteredat12years)+β2(ConflictExposuregroupmeancentered)+β3(AgeXConflictExposure)+r,

where β0 is the intercept, or the threat score for each child centered around the study midpoint (i.e., for 12 year olds); β1 is the slope, or the extent to which threat changes over time (i.e., with increasing age) for each individual child; β2 is the linear association between the change in conflict (the time varying covariate) and the change in threat for each individual over time; β3 reflects the extent to which β2 varies as a function of children’s age; and r is the residual component. These Level-1 parameters are simultaneously modeled in Level 2 to provide estimates for the entire sample of children, and allow for inclusion of person-level covariates (i.e., gender).

Level-2Model:B0=γ00+γ01(Gender)+γ02(AverageConflictExposure)β1=γ10+γ11(Gender)+U1β2=γ20+γ21(Gender)+U2β3=γ30+γ31(Gender)

where γ00, γ10, γ20, and γ30 are sample-level intercepts; γ01 reflects gender differences in average level of Threat; γ02 represents between person conflict exposure differences in the average level of Threat; γ11 examines whether gender moderates the change in threat over time; γ21 examines whether the association between change in conflict and change in threat is moderated by gender; γ 31 examines whether the Age × Conflict Exposure interaction is moderated by gender. U1 and U2 indicate random person effects; estimation of variance components revealed a lack of significant variation in the slopes of the interaction terms, so the random effects for β3 were constrained in all models.

Results

Preliminary Analyses

First, intraclass correlation coefficients were calculated for each of the dimensions of children’s responses to conflict based on results of random intercept models. ICCs ranged from .28 to .65 (M = 49.5), suggesting that 29% to 65% (M = 49.5%) of the total variation in children’s responses to conflict is attributable to differences among children, and 71% to 35% (M = 50.5%) is attributable to differences within children (Singer & Willett, 2003). Next, a series of random coefficient regression models predicting response processes revealed significant variability in each of the intercepts and slopes. Together, these analyses support the investigation of within and between child predictors of average responses and changes in responses with age.

In addition, we explored the change in youths’ exposure to parents’ conflict (i.e., our proposed time varying covariate) over time. The intercept only model suggested that 82% of the variance in conflict exposure was between-person. The random-regression coefficients model revealed a lack of change in youths’ exposure to conflict across time on average (γ =− 0.02, SE = .01, t = −1.22, df = 296, p = .224), however, significant variation was present in the slopes (χ2 =3945.17, p < .001). Examination of the pattern of change suggested that while some children were exposed to decreasing levels of conflict over time (56.6%), others’ exposure increased (42.7%).

Changes in Youths’ Responses to Conflict over Time

For the principal analysis, we conducted a series of intercepts and slopes as outcomes models examining changes in youths’ responses to conflict over a three year period as children developed from middle childhood through adolescence. Change in youths’ exposure to frequent, hostile, and unresolved interparental conflict was entered at Level 1 as a time varying covariate, and gender was entered at Level 2 as a time invariant covariate. Results are presented in Table 1.

Table 1.

Results of a series of HLM analyses examining change in responses to conflict.

DV: Threat (CPIC)
Parameter γ SE T ratio df p
Fixed Effects
 Intercept (γ 00) 8.26 .25 33.28 684 .000
  Gender (γ 01) −0.09 .50 −0.18 684 .861
  Ave Conflict (γ 02) 2.57 .29 8.80 684 .000
 Age slope (γ 10) −0.70 .09 −7.43 279 .000
  Gender (γ 11) −0.09 .19 −0.49 279 .622
 Conflict Exposure slope (γ 20) 3.72 .50 7.51 279 .000
  Gender (γ 21) 0.87 .99 0.88 279 .381
 Age × Conflict Exposure slope (γ 30) −0.40 .21 −1.90 684 .058
  Gender (γ 31) −0.50 .42 −1.18 684 .240
DV: Self Blame (CPIC)
Parameter γ SE T ratio df p
Fixed Effects
 Intercept (γ 00) 2.35 .14 16.38 684 .000
  Gender (γ 01) −0.49 .28 −1.72 684 .086
  Ave Conflict (γ 02) 0.85 .17 4.93 684 .000
 Age slope (γ 10) 0.08 .06 1.25 279 .212
  Gender (γ 11) 0.07 .13 0.51 279 .611
 Conflict Exposure slope (γ 20) 0.77 .31 2.52 279 .013
  Gender (γ 21) −0.42 .61 −0.69 279 .493
 Age × Conflict Exposure slope (γ 30) 0.05 .13 0.36 684 .716
  Gender (γ 31) 0.62 .25 2.42 684 .016
DV: Emotional Reactivity (analog)
Parameter γ SE T ratio df p
Fixed Effects
 Intercept (γ 00) 5.79 .12 47.71 770 .000
  Gender (γ 01) 0.08 .24 0.32 770 .747
  Ave Conflict (γ 02) −0.15 .13 −1.14 770 .256
 Age slope (γ 10) −0.15 .05 −3.22 295 .002
  Gender (γ 11) −0.17 .10 −1.78 295 .075
 Conflict Exposure slope (γ 20) 0.27 .19 1.42 295 .156
  Gender (γ 21) 0.32 .39 0.83 295 .410
 Age × Conflict Exposure slope (γ 30) 0.04 .09 0.50 770 .616
  Gender (γ 31) −0.00 .17 −0.00 770 .999
DV: Involvement (analog)
Parameter γ SE T ratio df p
Fixed Effects
 Intercept (γ 00) 0.95 .05 20.72 768 .000
  Gender (γ 01) 0.14 .09 1.55 768 .120
  Ave Conflict (γ 02) 0.09 .06 1.49 768 .136
 Age slope (γ 10) 0.08 .02 4.47 294 .000
  Gender (γ 11) 0.02 .03 0.46 294 .643
 Conflict Exposure slope (γ 20) 0.03 .07 0.40 294 .688
  Gender (γ 21) −0.11 .14 −0.11 294 .911
 Age × Conflict Exposure slope (γ 30) 0.04 .03 1.47 768 .142
  Gender (γ 31) 0.12 .06 2.01 768 .045
DV: Avoidance (analog)
Parameter γ SE T ratio df p
Fixed Effects
 Intercept (γ 00) 0.67 .04 18.23 768 .000
  Gender (γ 01) 0.07 .07 0.90 768 .371
  Ave Conflict (γ 02) 0.08 .04 −1.90 768 .058
 Age slope (γ 10) −0.01 .01 −0.94 294 .348
  Gender (γ 11) −0.05 .03 −1.75 294 .080
 Conflict Exposure slope (γ 20) 0.02 .05 0.32 294 .748
  Gender (γ 21) 0.01 .10 0.07 294 .941
 Age × Conflict Exposure slope (γ 30) −0.02 .02 −0.75 768 .455
  Gender (γ 31) 0.02 .04 0.36 768 .721
DV: Confidence in Resolution (analog)
Parameter γ SE T ratio df p
Fixed Effects
 Intercept (γ 00) 5.50 .13 42.60 770 .000
  Gender (γ 01) −0.07 .26 −0.28 770 .781
  Ave Conflict (γ 02) 0.13 .14 0.90 770 .368
 Age slope (γ 10) −0.16 .05 −3.13 295 .002
  Gender (γ 11) 0.00 .10 0.03 295 .975
 Conflict Exposure slope (γ 20) 0.13 .21 0.65 295 .515
  Gender (γ 21) 0.14 .41 0.35 295 .728
 Age × Conflict Exposure slope (γ 30) −0.04 .08 −0.55 770 .581
  Gender (γ 31) −0.26 .16 −1.62 770 .105
DV: Emotional Reactivity (parent conflict lab interactions)
Parameter γ SE T ratio df p
Fixed Effects
 Intercept (γ 00) 0.56 .06 10.08 718 .000
  Gender (γ 01) 0.25 .11 2.30 718 .022
  Ave Conflict (γ 02) 0.21 .07 3.03 718 .003
 Age slope (γ 10) 0.02 .02 0.4 281 .462
  Gender (γ 11) −0.03 .05 −0.51 281 .606
 Conflict Exposure slope (γ 20) 0.32 .15 2.10 281 .036
  Gender (γ 21) −0.00 .30 −0.03 281 .980
 Age × Conflict Exposure slope (γ 30) 0.04 .07 0.54 718 .586
  Gender (γ 31) 0.10 .15 0.70 718 .486
DV: Confidence in Resolution (parent conflict lab interactions)
Parameter γ SE T ratio df p
Fixed Effects
 Intercept (γ 00) 8.15 .07 113.37 716 .000
  Gender (γ 01) −0.13 .14 −0.91 716 .364
  Ave Conflict (γ 02) −0.23 .09 −2.51 716 .012
 Age slope (γ 10) −0.17 .04 −4.70 281 .000
  Gender (γ 11) −0.09 .07 −1.28 281 .201
 Conflict Exposure slope (γ 20) −0.20 .18 −1.51 281 .251
  Gender (γ 21) 0.78 .35 2.20 281 .028
 Age × Conflict Exposure slope (γ 30) −0.05 .09 −0.58 716 .559
  Gender (γ 31) 0.19 .18 1.05 716 .292

Note. CPIC = Children’s Perceptions of Interparental Conflict.

Differences in average levels of responding

Age was centered at 12 years (the midpoint of the study age range), so intercept tests apply to children at this median age. As shown in Table 102), children with greater exposure to conflict reported greater appraisals of threat and self blame, as well as greater emotional reactivity and less confidence in resolution during parents’ conflict in the lab. Only one gender difference (γ01) was found in average levels of youths’ response to conflict. That is, girls were more emotionally reactive than boys (parent video; γ = 0.69, SE = .10, t = 7.18, df = 718, p < .001 and γ = 0.43, SE = .06, t = 7.75, df = 718, p < .001, respectively).

Changes in responses to conflict with increasing age

As shown in Table 110), youths’ appraisals of threat in the face of parents’ conflict decreased as they grew older. Youth became less emotionally reactive and more involved in parents’ conflict over time (analog). As they grew older, youth reported less confidence that their parents would be able to reach a resolution (during both analog and the parent video). Appraisals of self-blame, avoidance, and emotional reactivity (parent video) were stable over time. Boys and girls did not appear to change in different ways over time in terms of their responses to conflict (γ11).

Relations between changes in conflict exposure and changes in responding

Supporting the notion of sensitization, as shown in Table 120), increases in a youths’ exposure to intense and unresolved interparental conflict over time were related to increases in youths’ appraisal of threat and self blame. In addition, as conflict exposure increased, youths’ emotional reactivity became increasingly negative when witnessing their parents’ conflict in the lab. Follow-up tests to a significant gender effect (γ21) suggest that increasing conflict exposure over time was related to boys’ decreasing confidence in parents’ ability to resolve their conflict in the lab (γ = −0.59, SE = .03, t = −2.61, df = 281, p = .010); no effect was found for girls (γ = 0.19, SE = .27, t = 0.69, df = 281, p = .493).

Age × Conflict Exposure interactions (γ30) were not significant for any of these models, suggesting that neither older nor younger children were more susceptible to change in their responses as a function of change in exposure. However, a gender effect for the Age × Conflict Exposure interaction (γ31) was significant in the models predicting youths’ involvement in conflict and appraisals of self blame. Follow-up tests to a significant Age × Conflict Exposure interaction for girls (γ = 0.10, SE = .05, t = 2.10, df = 768, p = .035) found that increases in exposure to conflict were related to decreases in involvement in parents’ conflict for younger girls (age centered at 8 years; γ = −0.45, SE = .22, t = −2.04, df = 294, p = .042), but to increases in involvement for older teens (age centered at 16; γ = 0.47, SE = .24, t = 1.97, df = 294, p = .049). The Age × Conflict Exposure interaction for boys was not significant (γ = −0.02, SE = .03, t = −0.48, df = 768, p = .632). Follow-up tests to the significant gender effect for the Age × Conflict Exposure interaction in the prediction of self blame were not statistically significant.

Discussion

The goal of the present study was to investigate changes in youths’ responses to marital conflict across middle childhood and adolescence and to test the cogency of the sensitization hypothesis by examining directly whether change in marital conflict predicted change in responding. Studying intraindividual change is a hallmark of developmental theory and research, and a critical principle of the developmental psychopathology orientation. However, to date, speculation about children and adolescents’ change over time in responding to conflict has relied largely on cross sectional designs, or longitudinal analyses that predict from static measures of marital conflict. Although the major theories in the field hypothesize that worsening marital conflict will heighten reactivity, the present study is among the first to directly test this central proposition of sensitization in a prospective, longitudinal design.

Extending cross-sectional study of age differences in youths’ responses to conflict, HLM analyses showed that as youth aged from middle childhood through adolescence, they became less threatened by conflict, less emotionally distressed, less confident in their parents’ ability to reach resolution, and more involved behaviorally in parents’ conflict. In keeping with social cognitive theory, youth may become better judges of the nuances of conflict expressions and the implications of hostile, unresolved conflict for future relationship quality. At the same time, these findings support the general notion that children become better able to regulate their emotions and cope with the stress of marital conflict with increasing emotional and cognitive maturity. Youths’ increased involvement may reflect greater capacity to affect change in their parents’ conflict expression, further reducing threat and emotional distress.

Consistent with past work, history of conflict exposure was related to higher average levels of threat, self blame, emotional reactivity, and skepticism about resolution. Moreover, supporting notions posited by the sensitization hypothesis, when the frequency and intensity of hostile conflict increased, children’s appraisals of threat and blame increased over time. In addition, children’s emotional responses to parents’ actual conflict episodes became more negative and boys became increasingly pessimistic about their parents’ ability to resolve future conflict as parents’ conflict intensified over time. To our knowledge, this is among the first tests of the sensitization hypothesis to show empirically that as parental disputes intensify, so too do the children’s reactions across a variety of responses processes, even as they age. Indeed, both younger and older children were susceptible to this intensification in responses to conflict.

These findings add an important qualifier to any notion that conflict may pose less risk to children as they develop. It seems that children may become generally less responsive to conflict over time as long as conflict does not intensify. However, if parents’ conflict becomes more frequent, intense, and unresolved, both younger and older children become more reactive to conflict as they develop. These results confirm the robustness of the notion of sensitization by showing empirically that exposure to increasingly hostile conflict is related to alterations, even reversals in some cases, in the pattern of normative change in emotional, behavioral, and cognitive responses to conflict.

Notably, links with increases in conflict exposure were found for heightened emotional reactivity and skepticism about resolution in the parent video methodology, but not the analog methodology. Analog techniques have been shown to elicit the scripts of responding that develop based on experiences with their own parents. However, these stimuli are not as engaging as witnessing actual parent conflict interactions, and may not have been salient enough to engage the sensitization processes.

Important questions remain with regard to individual differences in response and sensitization processes. Recent work has begun to integrate physiological and psychological responses to family stress (El Sheikh, Hinnant, & Erath, 2010). For example, in an innovative study, Davies, Sturge-Apple, Cicchetti, and Cummings (2008) found that children’s heightened psychological distress responding was associated with elevated cortisol reactivity. Considering the interaction between biology and environment may prove valuable toward identifying children most at risk for heightened reactions to conflict.

Effects for boys and girls were largely consistent and provided further support for the conclusion that both boys and girls are vulnerable in terms of heightened responses to conflict. Not surprisingly, girls reported greater emotional reactivity than boys, on average, in response to their parents’ conflict expressions. However, change in responses to conflict over time did not vary for boys and girls. Nuances emerge in boys’ and girls’ behavioral involvement and confidence in resolution. Notably, results suggested the normative developmental pattern for behavior, controlling for exposure, was for children to become more involved in conflict as they grew older. However, Age × Conflict Exposure interaction analyses suggest that as conflict increased, older girls continued to became more involved, whereas boys (regardless of age) remain stable in their level of involvement and younger girls become less involved. Finally, with increased conflict exposure, boys, but not girls, expressed decreased confidence in parents’ ability to resolve their conflict (parent videos). In summary, while nuances emerged in some dimensions of responding, minimal support was found for major gender differences in conflict responses or patterns of change from childhood through adolescence for boys and girls.

The current analyses provide support for a central test of sensitization, that is, increasing exposure to hostile interparental conflict intensifies emotional, cognitive, and in some cases behavioral responses. Further exploration of additional aspects of sensitization warrant consideration in future research. For example, conflict exposure is hypothesized to change the threshold at which children’s emotional security system is triggered (Hammon, Henry, & Daley, 2000), resulting in heightened reactivity at lower levels of stress. The design of the current study (i.e., three waves of assessment per individual) precludes a test of curvilinear trajectories, but such examination is important for determining whether change is incremental, or rather exponential, with implications for better understanding sensitization. Increasing evidence supports the notion that components of emotional security (Davies & Cummings, 1994) and cognitive appraisal (Grych & Fincham, 1990) are mediators of the link between marital conflict and children’s adjustment. A mediational test of change in conflict exposure leading to change in reactivity, and consequently change in adjustment would contribute further to our understanding of sensitization.

Additional limitations should be acknowledged. We considered the relation between change in marital conflict and change in children’s responses; however, contemporary theory assumes a transactional relationship between family systems. Indeed, research shows that children’s emotions and behaviors during parents’ conflict influence the course of the particular episode (Schermerhorn, Chow, & Cummings, 2010) as well as future marital disputes (Schermerhorn, Cummings, DeCarlo, & Davies, 2007).

Children in the study ranged in age from eight to 19 years, allowing us to look at change across a wide span from middle childhood through adolescence. It is important to note that individual children were assessed three consecutive years during that span, which may have limited power or impacted heterogeneity in intercept and slope parameters. Furthermore, whenever multiple comparisons are made, such as in this report, one must be concerned with experiment wise alpha. Effects for most of the primary analyses were robust, as can be seen by an examination of the exact p-values. However, some of the effects related to interactions with age or gender were closer to .05, and should be considered as tentative until replicated.

Responses of multiple reporters were used for the conflict exposure measure (i.e., mother, father, and child report), but children’s responses to conflict were based solely on children’s self report. We might have greater confidence in results if we had corroborating reports or observational data for these constructs. However, we relied on child report of these constructs because children become more adept at masking distress in adolescence (Davies & Sturge-Apple, 2007), making self-report a valuable tool for identifying children’s internal processes. Although children provided self report for each, concerns about shared method variance are lessened to a degree by the use of three methods to assess children’s responses to conflict (i.e., questionnaires, experimental analog presentations, and parents’ naturalistic observations). Furthermore, whereas emotional reactivity and cognitive representations were evaluated in response to both the analog and parents’ actual conflict episodes, children’s involvement was only assessed with regard to the analog presentations. Understanding of this behavioral component of emotional security and its implication for adjustment would be strengthened if it had been evaluated in the naturalistic observation as well.

Although it is possible the results were influenced by testing effects, we were unable to identify a systematic pattern in the data suggesting it as a source of variability. This is perhaps not surprising considering the one year span between data collection. Moreover, testing effects are unlikely with everyday interactions such as those used in this study. Furthermore, the sample was predominantly White and middle class, potentially limiting generalizability.

Nonetheless, the current study furthers process-oriented understanding of the effects of marital conflict on children over time by supporting the propositions of the sensitization hypothesis. It is the first to examine intraindividual change of children’s emotional, behavioral, and cognitive responses to change in marital conflict over time. Study findings suggest that children may become less vulnerable to conflict as they develop through middle childhood and adolescence. However, consistent with the notion of sensitization, children’s responses to conflict over time indicated greater appraisals of threat and self blame and greater insecurity as parents’ conflict intensified regardless of age. Findings are important for advancing prevention and intervention programs designed to reduce the negative effects of marital conflict on children, and providing valuable information to those who work with children and families about youths’ vulnerabilities to conflict from middle childhood through adolescence.

Acknowledgments

This research was supported by National Institute of Child Health and Human Development Grant HD 36261.

Contributor Information

Marcie C. Goeke-Morey, Catholic University of America

Lauren M. Papp, University of Wisconsin-Madison

E. Mark Cummings, University of Notre Dame.

References

  1. Buehler C, Anthony C, Krishnakumar A, Stone G. Interparental conflict and youth problem behaviors: A meta-analysis. Journal of Child and Family Studies. 1997;6:223–247. [Google Scholar]
  2. Buehler C, Lange G, Franck KL. Adolescents’ cognitive and emotional responses to marital hostility. Child Development. 2007;78:775–789. doi: 10.1111/j.1467-8624.2007.01032.x. [DOI] [PubMed] [Google Scholar]
  3. Covell K, Abramovitch R. Understanding emotion in the family: Children’s and parents’ attributions of happiness, sadness, and anger. Child Development. 1987;58:985–991. [Google Scholar]
  4. Crane DR, Allgood SM, Larson JH, Griffin W. Assessing marital quality with distressed and nondistressed couples: A comparison and equivalency table for three frequently used measures. Journal of Marriage & the Family. 1990;52:87–93. [Google Scholar]
  5. Cummings EM, Ballard M, El-Sheikh M. Responses of children and adolescents to interadult anger as a function of gender, age, and mode of expression. Merrill-Palmer Quarterly. 1991;37:543–560. [Google Scholar]
  6. Cummings EM, Davies PT. Effects of marital conflict on children: Recent advances and emerging themes in process-oriented research. Journal of Child Psychology and Psychiatry. 2002;43:31–63. doi: 10.1111/1469-7610.00003. [DOI] [PubMed] [Google Scholar]
  7. Cummings EM, Davies PT. Children, emotional security and marital conflict. New York and London: The Guilford Press; 2010. [Google Scholar]
  8. Cummings EM, Schermerhorn AC, Davies PT, Goeke-Morey MC, Cummings JS. Interparental discord and child adjustment: Prospective investigations of emotional security as an explanatory mechanism. Child Development. 2006;77:132–152. doi: 10.1111/j.1467-8624.2006.00861.x. [DOI] [PubMed] [Google Scholar]
  9. Cummings EM, Zahn-Waxler C, Radke-Yarrow M. Young children’s responses to expressions of anger and affection by others in the family. Child Development. 1981;52:1274–1282. [Google Scholar]
  10. David KM, Murphy BC. Interparental conflict and late adolescents’ sensitization to conflict: The moderating effects of emotional functioning and gender. Journal of Youth and Adolescence. 2004;33:187–200. [Google Scholar]
  11. Davies PT, Cummings EM. Marital conflict and child adjustment: An emotional security hypothesis. Psychological Bulletin. 1994;116:387–411. doi: 10.1037/0033-2909.116.3.387. [DOI] [PubMed] [Google Scholar]
  12. Davies PT, Harold GT, Goeke-Marcie MC, Cummings EM. Monographs of the Society for Research in Child Development. 2002. Child emotional security and interparental conflict. [PubMed] [Google Scholar]
  13. Davies PT, Lindsay L. Does gender moderate the effects of conflict on children? In: Grych JH, Fincham FD, editors. Child development and interparental conflict: Theory, research, and application. New York: Cambridge University Press; 2001. pp. 64–97. [Google Scholar]
  14. Davies PT, Lindsay LL. Interparental conflict and adolescent adjustment: Why does gender moderate early adolescent vulnerability? Journal of Family Psychology. 2004;18:170–180. doi: 10.1037/0893-3200.18.1.160. [DOI] [PubMed] [Google Scholar]
  15. Davies PT, Myers RL, Cummings EM, Heindel S. Adult conflict history and children’s subsequent responses to conflict: An experimental test. Journal of Family Psychology. 1999;13:610–628. [Google Scholar]
  16. Davies PT, Sturge-Apple ML. Advances in the formulation of emotional security theory: An ethologically based perspective. Advances in Child Development and Behavior. 2007;35:87–137. doi: 10.1016/b978-0-12-009735-7.50008-6. [DOI] [PubMed] [Google Scholar]
  17. Davies PT, Sturge-Apple ML, Cicchetti D, Cummings EM. Adrenocortical underpinnings of children’s psychological reactivity to interparental conflict. Child Development. 2008;79:1693–1706. doi: 10.1111/j.1467-8624.2008.01219.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Davies PT, Sturge-Apple ML, Winter MA, Cummings EM, Farrell D. Child adaptational development in contexts of interparental conflict over time. Child Development. 2006;77:218–233. doi: 10.1111/j.1467-8624.2006.00866.x. [DOI] [PubMed] [Google Scholar]
  19. Davies PT, Windle M. Interparental discord and adolescent adjustment trajectories: The potentiating and protective role of intrapersonal attributes. Child Development. 2001;72:1163–1178. doi: 10.1111/1467-8624.00340. [DOI] [PubMed] [Google Scholar]
  20. El-Sheikh M, Cummings EM, Reiter S. Preschoolers’ responses to ongoing interadult conflict: The role of prior exposure to resolved versus unresolved arguments. Journal of Abnormal Child Psychology. 1996;24:665–679. doi: 10.1007/BF01670106. [DOI] [PubMed] [Google Scholar]
  21. El-Sheikh M, Hinnant JB, Erath S. Developmental trajectories of delinquency symptoms in childhood: The role of marital conflict and autonomic nervous system activity. Journal of Abnormal Psychology. 2011;120:16–32. doi: 10.1037/a0020626. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Grych JH. Children’s appraisals of interparental conflict: Situational and contextual influences. Journal of Family Psychology. 1998;12:1–17. [Google Scholar]
  23. Grych JH, Fincham FD. Marital conflict and children’s adjustment: A cognitive-contextual framework. Psychological Bulletin. 1990;108:267–290. doi: 10.1037/0033-2909.108.2.267. [DOI] [PubMed] [Google Scholar]
  24. Grych JH, Fincham FD. Interparental conflict and child adjustment: An overview. In: Grych JH, Fincham FD, editors. Interparental conflict and child development: Theory, research, and application. New York: Cambridge University Press; 2001. pp. 1–6. [Google Scholar]
  25. Grych JH, Seid M, Fincham FD. Assessing marital conflict from the child’s perspective: The children’s perceptions of the interparental conflict scale. Child Development. 1993;64:215–230. doi: 10.1111/j.1467-8624.1992.tb01646.x. [DOI] [PubMed] [Google Scholar]
  26. Hammen C, Henry R, Daley SE. Depression and sensitization to stressors among young women as a function of childhood adversity. Journal of Consulting and Clinical Psychology. 2000;68:782–787. [PubMed] [Google Scholar]
  27. Laumakis M, Margolin G, John R. The emotional, cognitive, and coping responses of preadolescent children to different dimensions of marital conflict. In: Holden G, Geffner B, Jouriles EN, editors. Children and family violence. Washington, DC: American Psychological Association; 1998. pp. 257–288. [Google Scholar]
  28. Laursen B. The perceived impact of conflict on adolescent relationships. Merrill-Palmer Quarterly. 1993;39:535–550. [Google Scholar]
  29. Locke HJ, Wallace KM. Short marital adjustment and prediction tests: Their reliability and validity. Journal of Marriage and Family Living. 1959;21:251–255. [Google Scholar]
  30. McDonald R, Grych JH. Young children’s appraisals of interparental conflict: Measurement and links with adjustment problems. Journal of Family Psychology. 2006;20:88–99. doi: 10.1037/0893-3200.20.1.88. [DOI] [PubMed] [Google Scholar]
  31. Porter B, O’Leary KD. Marital discord and childhood behavior problems. Journal of Abnormal Psychology. 1980;8:287–295. doi: 10.1007/BF00916376. [DOI] [PubMed] [Google Scholar]
  32. Raudenbush SW, Bryk AS, Congdon RT. HLM6: Hierarchical linear and nonlinear modeling. Chicago: Scientific Software International; 2004. [Google Scholar]
  33. Rhoades KA. Children’s responses to interparental conflict: A meta-analysis of their associations with child adjustment. Child Development. 2008;79:1942–1956. doi: 10.1111/j.1467-8624.2008.01235.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Richmond MK, Stocker CM. Changes in children’s appraisals of marital discord from childhood through adolescence. Journal of Family Psychology. 2007;21:416–425. doi: 10.1037/0893-3200.21.3.416. [DOI] [PubMed] [Google Scholar]
  35. Ruble DN, Martin CL. Gender development. In: Damon W, Eisenberg N, editors. Handbook of child psychology, Vol 3: Social, emotional, and personality development. Wiley; New York: 1998. pp. 105–176. [Google Scholar]
  36. Schermerhorn AC, Chow S, Cummings EM. Developmental family processes and interparental conflict: Patterns of microlevel influences. Developmental Psychology. 2010;46:869–885. doi: 10.1037/a0019662. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Schermerhorn AC, Cummings EM, DeCarlo CA, Davies PT. Children’s influence in the marital relationship. Journal of Family Psychology. 2007;21:259– 269. doi: 10.1037/0893-3200.21.2.259. [DOI] [PubMed] [Google Scholar]
  38. Singer JD, Willet JB. Applied longitudinal data analysis: Modeling change an event occurrence. Oxford: Oxford University Press; 2002. [Google Scholar]
  39. Umberson D, Williams K, Powers DA, Chen MD, Campbell AM. As good as it gets: A life course perspective on marital quality. Social Forces. 2005;84:487–505. doi: 10.1353/sof.2005.0131. [DOI] [PMC free article] [PubMed] [Google Scholar]

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