TRAUMA AND RESILIENCE AMONG MALTREATED YOUTH: THE ROLE OF SOCIAL SUPPORT IN PROMOTING ACADEMIC AND SOCIAL-EMOTIONAL WELL-BEING By Madison L. Chapman A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of School Psychology - Doctor of Philosophy 2017 ABSTRACT TRAUMA AND RESILIENCE AMONG MALTREATED YOUTH: THE ROLE OF SOCIAL SUPPORT IN PROMOTING ACADEMIC AND SOCIAL -EMOTIONAL WELL-BEING By Madison L. Chapman This study utilized data from the National Survey of Child and Adolescent Well-Being II (NSCAW II; NSCAW, 2007) to examine the role of social support in fostering resilience among victims of child abuse and neglect. Broadly, resilience refers to achieving or maintaining typical development in one or more areas of functioning following adverse life experiences (Masten, 2001). Numerous extant studies have established that social support is a protective factor that promotes resilience (e.g., Afifi & MacMillan, 2011). This previous research, however, has not adequately analyzed social support as a protective factor among youth who have experienced abuse or neglect. Social support provided at the time of maltreatment and support from multiple sources may be critical for resilient outcomes. Prior research has also primarily focused on mental health and behavioral outcomes and has neglected analysis of academic outcomes. To address these gaps in literature, this study assessed how social support from caregivers and peers was related to both academic and social-emotional well-being within a sample of maltreated youth. Through Structural Equation Modeling (SEM), distinct patterns were observed. Perceived emotional support from caregivers was related to greater academic engagement and fewer externalizing behavior problems. Perceived emotional support from peers was related to fewer internalizing behavior problems. Inclusion of both caregiver and peer social support measures provided the most accurate conceptual model. These results indicate that social support from different sources meet different needs among victims of maltreatment. Therefore, multiple sources of social support should be promoted to foster resilience among maltreated youth. Copyright by MADISON L. CHAPMAN 2017 To my husband, Bryan Chapman. Thank you for your unconditional love and support. iv ACKNOWLEDGEMENTS I would like to acknowledge the individuals who had a significant role in helping me reach this accomplishment. I am incredibly grateful to my advisor, Dr. Evelyn Oka, for encouraging me to pursue my interest in trauma and helping me create opportunities to do so. With all that she has taught me, I have most appreciated her ability to teach me the importance of having both personal motivation and attainable ambition. I would also like to express my appreciation to my dissertation committee members, Dr. Jodene Fine, Dr. Cary Roseth, and Dr. Laura Apol, whose guidance and feedback challenged me to become a more critical and better researcher. I am especially thankful to Dr. Laura Apol for her time and attention while helping me refine my interests and identify my true passion. My husband, Bryan Chapman, has encouraged and supported me through every step of this journey. He celebrated my wins and helped me get back up after my defeats. I appreciate the many times he reminded me to work on my dissertation and the many times he reminded me to take a break and have fun. I appreciate the sacrifices he made for me to follow this dream. I could not have done this without him. I am grateful to my parents, Gail and Preston Kloss, and to my brother Alex Kloss. They showed me the importance of serving the community, gave me a passion for higher education, and taught me how to persevere through challenges. They have provided incredible support to help me attain this dream. I am so grateful that I knew a home consisting of love and joy and understood that not all children had the same advantage. v Most importantly, I am eternally grateful for my relationship with Jesus. It is because of His sacrifice that I have hope for eternity. My faith in Him is what led me to earn a PhD and use it to bring that same hope and love to children in significant need. Finally, I would like to acknowledge the individuals who contributed to the design and data collection of the National Survey of Child and Adolescent Well-Being studies. Through this rich data set, researchers including myself can learn more about the needs of youth in the child welfare system and identify ways to better serve those needs. Financial support for this dissertation research was provided through the Michigan State University Dissertation Completion Fellowship. vi TABLE OF CONTENTS LIST OF TABLES .................................................................................................................x LIST OF FIGURES ...............................................................................................................xii CHAPTER 1 ..........................................................................................................................1 INTRODUCTION .................................................................................................................1 CHAPTER 2 ..........................................................................................................................9 LITERATURE REVIEW ......................................................................................................9 Child Welfare .............................................................................................................9 Trauma .......................................................................................................................10 Acts of Commission (Child Abuse) ...............................................................11 Acts of Omission (Child Neglect)..................................................................12 Academic Well-Being ................................................................................................18 Academic Achievement .................................................................................18 Academic Engagement ..................................................................................19 Social-Emotional Effects of Trauma .........................................................................21 Internalizing ...................................................................................................21 Externalizing ..................................................................................................21 Resilience ...................................................................................................................22 Social Support ............................................................................................................25 Caregiver Social Support ...............................................................................29 Peer Social Support ........................................................................................29 Purpose of the Present Study .....................................................................................30 Research Questions and Hypotheses .........................................................................31 Research Question 1 ......................................................................................31 Hypothesis 1...................................................................................................31 Research Question 2 ......................................................................................31 Hypothesis 2...................................................................................................31 Research Question 3 ......................................................................................32 3a. .......................................................................................................32 Hypothesis 3a. ....................................................................................32 3b........................................................................................................32 Hypothesis 3b.....................................................................................32 3c ........................................................................................................32 Hypothesis 3c .....................................................................................32 3d........................................................................................................32 Hypothesis 3d.....................................................................................32 3e ........................................................................................................32 Hypothesis 3e .....................................................................................32 Research Question 4 ......................................................................................32 4a ........................................................................................................33 vii Hypothesis 4a .....................................................................................33 4b........................................................................................................33 Hypothesis 4b.....................................................................................33 4c ........................................................................................................33 Hypothesis 4c .....................................................................................33 4d........................................................................................................33 Hypothesis 4d.....................................................................................33 4e ........................................................................................................33 Hypothesis 4e .....................................................................................34 CHAPTER 3 ..........................................................................................................................35 METHODS ............................................................................................................................35 Study Model ...............................................................................................................35 Study Design ..............................................................................................................37 Data Collection ..............................................................................................38 Original NSCAW Sample ..........................................................................................39 Final Sample for Current Study .................................................................................41 Child Welfare Characteristics ........................................................................42 Sample Criteria ..............................................................................................45 Missing Data ..................................................................................................46 Sample Weights .............................................................................................47 Variables and Measures .............................................................................................47 Demographics ................................................................................................48 Trauma ...........................................................................................................50 Caregiver Social Support ...............................................................................52 Peer Social Support ........................................................................................54 Academic Achievement .................................................................................56 Academic Engagement ..................................................................................57 Internalizing Behaviors ..................................................................................59 Externalizing Behaviors .................................................................................60 CHAPTER 4 ..........................................................................................................................61 RESULTS ..............................................................................................................................61 Preliminary Analyses .................................................................................................61 Descriptive Statistics ..................................................................................................63 Structural Model ........................................................................................................68 Research Question 1 ......................................................................................68 Caregiver Support ..............................................................................68 Peer Support .......................................................................................69 Final Model ........................................................................................70 Research Question 2 ......................................................................................71 Research Question 3 ......................................................................................74 Type ...................................................................................................74 Severity ..............................................................................................74 Substantiation.....................................................................................74 Age .....................................................................................................75 viii Gender ................................................................................................75 Research Question 4 ......................................................................................75 Type ...................................................................................................76 Severity ..............................................................................................76 Substantiation.....................................................................................77 Age .....................................................................................................77 Gender ................................................................................................77 CHAPTER 5 ..........................................................................................................................79 DISCUSSION ........................................................................................................................79 Resilience ...................................................................................................................79 Differential Effects.....................................................................................................84 Significance of Peer Social Support ..........................................................................91 Trauma Symptoms .....................................................................................................92 Limitations .................................................................................................................95 Implications for Practice ............................................................................................98 Future Research .........................................................................................................100 APPENDIX ............................................................................................................................103 REFERENCES ......................................................................................................................106 ix LIST OF TABLES Table 1 Demographic Characteristics of NSCAW II..................................................41 Table 2 Demographic Characteristics of Sample ........................................................42 Table 3 Child Welfare Characteristics of Sample .......................................................44 Table 4 Summary of NSCAW II Measures Corresponding to Constructs .................48 Table 5 Confirmatory Factor Analysis for One-Factor Model of Trauma Symptoms .....................................................................................52 Table 6 Confirmatory Factor Analysis for One-Factor Model of Caregiver Social Support ...............................................................................54 Table 7 Confirmatory Factor Analysis for One-Factor Model of Peer Social Support ........................................................................................56 Table 8 Confirmatory Factor Analysis for One-Factor Model of Academic Engagement ..................................................................................59 Table 9 Estimated Correlation Matrix for Observed Variables ..................................62 Table 10 Estimated Correlation Matrix for Latent Variables. ......................................62 Table 11 Descriptive Statistics for Sample ...................................................................66 Table 12 Unstandardized and Standardized Factor Loadings and Significance Levels for Model Assessing Caregiver Social Support .................................69 Table 13 Unstandardized and Standardized Factor Loadings and Significance Levels for Model Assessing Peer Social Support ..........................................70 Table 14 Unstandardized and Standardized Factor Loadings and Significance Levels for Final Model...................................................................................71 Table 15 Model Fit Indices Comparing the Relative Impact of Caregiver Support and Peer Support ..............................................................................72 Table 16 Results of Chi-Square Test for Difference Testing........................................73 Table 17 Predictors of Trauma Symptoms ...................................................................75 x Table 18 Predictors of Social Support ..........................................................................78 xi LIST OF FIGURES Figure 1 Conceptual Model ..........................................................................................37 Figure 2 Standardized Factor Loadings of Model Assessing Caregiver Social Support ...............................................................................81 Figure 3 Standardized Factor Loadings of Model Assessing Peer Social Support ........................................................................................81 Figure 4 Standardized Factor Loadings of Final Model...............................................85 Figure 5 Structural Equation Model Assessing Caregiver Social Support ..................104 Figure 6 Structural Equation Model Assessing Peer Social Support ...........................105 xii CHAPTER 1 INTRODUCTION Child maltreatment is a persistent and pervasive problem affecting millions of children within the United States. In 2013, the U.S. Department of Health and Human Services (DHHS) reported that approximately 3.9 million children were the subjects of child welfare investigations (U.S. DHHS, 2015). These investigations were initiated following reports of suspected abuse or neglect toward the child. Of these 3.9 million children, an estimated 670,000 children were found to be victims of substantiated maltreatment (U.S. DHHS, 2015). Studies examining self-reported abuse and neglect during childhood, however, suggest that this prevalence rate may be significantly greater. In a national sample of adolescents, 28.4% of respondents reported physical abuse during childhood, 11.8% reported physical neglect, and 4.5% reported sexual abuse (Hussey, Chang, & Kotch, 2006). These data suggest that many children are exposed to abuse and neglect that may not have been reported to authorities. Maltreatment can result in harm to children’s social-emotional and academic functioning. Research shows that child maltreatment severely interferes with development in multiple domains including cognitive, social-emotional, and behavioral functioning (Hildyard & Wolfe, 2002). Children and adolescents who experience maltreatment, especially physical neglect, also perform more poorly on standardized tests of intellectual functioning than non-maltreated children (Hildyard & Wolfe, 2002). Maltreated children are more likely to have anxious or disorganized attachments to their caregivers than nonmaltreated children (Hildyard & Wolfe, 2002). These negative effects of maltreatment often continue to affect individuals throughout childhood and even through adulthood. 1 Maltreatment can also lead to children experiencing symptoms of posttraumatic stress. Among a sample of children (ages 8-14) referred to child welfare for suspected abuse or neglect, 11.7% reported clinically significant symptoms of posttraumatic stress using the Post-Traumatic Stress subscale of the Trauma Symptom Checklist for Children, a standardized survey assessing common symptoms of trauma (Kolko, Hurlburt, Zhang, Barth, Leslie, & Burns, 2010). Although maltreatment is generally associated with these negative outcomes, some children and adolescents exhibit typical social-emotional and academic developmental outcomes. This positive adaptation in the presence of risk is referred to as resilience (Masten, 2001). The study of resilience related to child maltreatment has led to significant advances in the understanding of adaptation within these adverse experiences. Static variables and adaptation systems at the individual and contextual level simultaneously influence development. Research shows that certain factors or characteristics are associated with more resilient outcomes. These factors, referred to as protective factors, have been shown to reduce or moderate the negative effects of maltreatment. These factors include static variables, such as the age of the child at the time of maltreatment (Ogle, Rubin, & Siegler, 2013), the type of maltreatment (Wecsler-Zimring, & Kearney, 2011), and severity of maltreatment (Hyman & Williams, 2001). Later onset of maltreatment, while controlling for gender and race, is associated with fewer behavioral and mental health problems in adulthood (Kaplow & Widom, 2007). Children who experience forms of neglect tend to have fewer symptoms of trauma compared to those that experience forms of abuse (Wecsler-Zimring & Kearney, 2011). Children who experience less severe maltreatment experience fewer symptoms of traumatic stress compared to those that experience severe maltreatment (Hyman & Williams, 2011). 2 Protective factors also include individual characteristics such as gender (DuMont, Widom, & Czaja 2007), intellectual functioning (Masten, Garmezy, Tellegen, Pellegrini, Larkin, & Larsen, 1988), temperament (Martinez-Torteya, Anne Bogat, Vvon Eye, & Levendosky, 2009), self-esteem (Cicchetti, Rogosch, Lynch, & Holt, 1993), and coping skills (Banyard & Williams, 2007; Rosenthal, Feiring, & Taska, 2003). After controlling for differential probabilities of experiencing trauma and maltreatment, males are less likely to develop symptoms of posttraumatic stress following a traumatic event compared to females (Tolin & Foa, 2006). Children with higher intellectual functioning (Masten et al., 1988), easy temperament (e.g., positive mood, low reactivity; Martinez-Toreya et al., 2009), positive self-esteem (Cicchetti et al., 1993), and effective and flexible coping skills (Banyard & Williams, 2007; Rosenthal, Feiring, & Taska, 2003) are more likely to experience resilient outcomes following exposure to a potentially traumatic event. External or contextual protective factors include having stable and supportive caregivers (Herrenkohl, Herrenhokl, & Egolf, 1994), socioeconomic advantages (Masten et al., 1988), connections to extended family networks (Masten et al. 1988), and neighborhood advantages (DuMont et al., 2007). A contextual protective factor with substantial empirical evidence is social support (Afifi & MacMillan, 2011). Children who have supportive relationships with caregivers or others are more likely to exhibit positive and resilient outcomes in the presence of risk due to maltreatment. It is hypothesized that this perceived social support fosters the development of resilience among maltreated children. This study addressed several gaps in existing literature. First, social support was examined through relationships with peers in addition to relationships with caregivers. Many previous studies have demonstrated that social support from caregivers is associated with 3 resilience among maltreated children (e.g., Dingelder, Jaffee, & Mandell, 2010; Muller, GoebelFabri, Diamond, & Dinklage, 2000). Fewer studies, however, have examined social support from peers. In one study examining social support and adaptive outcomes among African American children exposed to maltreatment, investigators assessed children’s ratings of support from both caregiver and peer relationships (Lamis, Wilson, King, & Kaslow, 2014). Within this analysis, support from both caregivers and peers was related to positive social functioning among children with a history of physical or emotional abuse. The magnitude of the relation between social support and social functioning was equal between caregiver support and peer support. Among children with a history of sexual abuse, only caregiver support was related to positive social functioning. This study, however, assessed only one outcome measure: social and adaptive functioning. The study also included only African American children between the ages of 8 and 12 living in an urban setting. Due to these limitations, the findings may not generalize to other areas of functioning or other populations of maltreated children. Another study examined social support from multiple sources, coping, perfectionism, and depression among adolescents with a history of maltreatment (Flett, Drucman, Hewitt, & Wekerle, 2012). This study included a small sample of 58 participants and did not include a direct measure of maltreatment or trauma history. Neither of these studies utilized a framework of risk and resilience to examine the role of social support in promoting resilient or adaptive outcomes. Due to these factors, existing literature in this area has not adequately examined the role of peer social support in the development of resilience following maltreatment. Examining the effects of peer relationships is important for understanding how social support may promote adaptive functioning among victims of child maltreatment. A significant portion of children’s social interactions occur at school with peers. These relationships become 4 increasingly important during adolescence. In childhood and early adolescence, relationships with parents or caregivers are generally the central source of social support (Helsen, Vollebergh, & Meeus 2000). In adolescence, however, this central source of support gradually shifts to peers (Helsen et al., 2000). As peers become more important to adolescents, these relationships may also have a greater effect on adolescents’ functioning. Furthermore, caregiver relationships may become even less significant among victims of child maltreatment. Many of these children are victimized by a parent or other closely related caregiver. This violation of trust and security would likely negatively affect the relationship with the offending caregiver, but may also affect the child’s ability to trust other caregivers in their lives. Children with a history of maltreatment may rely more on peer relationships for support. By examining perceived social support from peer relationships, this study investigated how peer relationships may uniquely contribute to resilience following maltreatment. Another way in which this study addressed gaps in existing literature was by examining academic outcomes indicating resilience. Extant studies have primarily conceptualized resilience as the absence of harmful outcomes and have therefore focused on assessing emotional and behavioral outcomes. Many studies examining resilience among maltreated youth have assessed the incidence of psychopathology (e.g., Kolko et al., 2010), such as internalizing behavior problems (e.g., Thompson & Tabone, 2010) and externalizing behavior problems (e.g., Thompson & Tabone, 2010). Although it is important to examine these outcomes, they do not provide a complete picture of children’s functioning. Examining academic outcomes within this study provided a more complete understanding of resilience among victims of maltreatment. Academic achievement and academic engagement significantly predict important outcomes later in life such as educational attainment, employment, socio-economic status, and overall life 5 satisfaction. Examining academic outcomes is important not only to understand children’s current functioning and resilience, but also to predict future outcomes and resilience. A third way in which this study addressed gaps in existing literature was by examining the perspectives of children. Studies examining the effects of maltreatment generally sample adult populations with a history of maltreatment during childhood. Few studies in this area have included child participants. The existing literature therefore has not adequately examined resilience at the time of maltreatment. Furthermore, previous studies have primarily assessed adult outcomes, rather than functioning during childhood. Many studies have examined perceived social support from family and friends in adulthood as a protective factor among individuals with a history of child maltreatment (e.g., Pepin & Banyard, 2005; McLewin & Muller, 2006; Vranceanu, Hobfoll, & Johnson, 2007; Seeds, Harkness, & Quilty, 2010; Evans, Steel, & DiLillo, 2013; Folger & Wright, 2013; Wilson & Scarpa, 2014). Generally, these studies ask adult participants to report previous experiences of maltreatment during childhood, current perceptions of social support, and current outcomes such as mental health and social functioning. It is presumed that these extant studies have primarily used adult populations due to ethical and practical issues involved in conducting research with the vulnerable population of child victims of maltreatment. While these studies provide estimates regarding the role of social support in developing resilient outcomes, retrospective methods have poorer reliability and validity than concurrent studies. These previous studies may not provide a complete understanding of how children develop resilient outcomes and how social support may play a role in this process. Assessing a sample of children at that time of their involvement with the child welfare system/protective services allowed for the examination of children’s perceptions of their social support and resilience. It also helped answer the question as to whether caregiver and peer social 6 support matters immediately following the report of maltreatment. Currently, research provides evidence for social support as a protective factor leading to long-term positive outcomes but not for how social support relates to short-term outcomes. This information is necessary to develop effective short-term and long-term services and supports for children following maltreatment. The current study addressed these gaps in previous research by examining maltreatment type, perceived trauma, and perceived social support from caregivers and peers immediately following the report of maltreatment and both social-emotional and academic outcomes approximately 18 months after the report of maltreatment. The purpose of this study was to examine the role of social support as a moderator, to determine whether it affects the relation between trauma and outcomes among a sample of children referred to child welfare following suspected abuse or neglect. Perceived social support from multiple sources including caregivers and peers were evaluated. This addressed the gap within current literature by examining nonfamilial relationships in addition to familial relationships. Examining perceived social support from these sources provided a more comprehensive indicator of children’s overall social support and can provide educators with a better understanding of how to effectively support the needs of this population within the school setting. Resilience was assessed by measuring functioning after maltreatment within the socialemotional (externalizing behaviors and internalizing behaviors) and academic domains (academic achievement and academic engagement). Existing studies examining resilience within this population often conceptualize resilience as a lack of negative outcomes, particularly socialemotional outcomes. Resilience research, however, has shown that both the lack of negative outcomes and the presence of positive functioning are important in assessing resilience (Masten, 7 2001). Therefore, the absence of negative outcomes and the presence of positive outcomes were assessed in this study. This study examined the role of social support from caregivers and peers and identified the unique role of each type of social support. Results from this study may help professionals, especially educators, understand the importance of providing this kind of support in the social context following maltreatment. Implications include informing the services and supports for victims of maltreatment within the home and school settings. 8 CHAPTER 2 LITERATURE REVIEW Child Welfare Child Welfare refers to the system of government and non-government run services to protect children and promote family stability. The primary federal legislation addressing child welfare is the Child Abuse Prevention and Treatment Act (CAPTA; Child Welfare Information Gateway, 2011). This legislation provides funding for child welfare services to states and sets minimum definitions of child maltreatment. CAPTA was enacted in 1974 and was most recently amended and reauthorized in December 2010 (Child Welfare Information Gateway, 2011). Child welfare reports are made when an individual knows or has reasonable cause to suspect that a child has been subjected to abuse or neglect. These reports may be made by caregivers, teachers, physicians, or other adults who know the child. Following a report of suspected maltreatment, Child Protective Services (CPS) staff may initiate an investigation to determine whether the child has been or is at risk of being harmed. CPS staff then collect information to determine whether there is evidence of abuse or neglect (i.e., substantiated) or there is insufficient evidence to conclude the child has been or is being maltreated. If the investigation results in low risk for future abuse and ongoing safety concerns, the family may be referred for voluntary CPS services (e.g., parenting classes, family intervention). If there is a continued risk of harm, the child may remain with the family or may be placed in out-of-home care. CPS services are provided to the child and family throughout this process. Potential outcomes of a CPS investigation are that the child may be reunified with the family, may remain in custody of a relative, may be adopted or live with a permanent legal guardian after parental rights are terminated, or may live independently with permanent family connection. 9 Trauma Broadly, trauma refers to distress following a significantly stressful or adverse event or experience. The American Psychiatric Association (2013) defines a traumatic event as exposure to actual or threatened death, serious injury, or sexual violation. This exposure may involve the individual directly experiencing the event, witnessing the event in person, learning that the event occurred to a close family member or close friend, or experiencing repeated direct exposure to adverse detail of the event through media, pictures, television, or movies (APA, 2013). Traumatic experiences may occur as an isolated event (e.g., a single incident of sexual assault), multiple discrete events (e.g., repeated physical assault), or as an ongoing condition (e.g., proximity to war conditions). When these experiences cause significant distress or impairment in one or more area of functioning, this is referred to as trauma. Children and adolescents may be exposed to different types of traumatic events. Many common life experiences can be traumatic, as described by the criteria above. These events include situations such as the loss of a parent or other close family member or friend, severe acute or chronic medical conditions, or experiencing a house fire. In addition to these potentially traumatic events, many children and adolescents are exposed to maltreatment. Childhood maltreatment refers to several types of abuse including direct physical abuse, sexual abuse, and emotional abuse, or neglect of a child’s physical or emotional needs (Child Welfare Information Gateway, 2014). CAPTA provides a broad definition of maltreatment and requires states to define maltreatment minimally as “any recent act or failure to act on the part of a parent or caretaker, which results in death, serious physical or emotional harm, sexual abuse, or exploitation, or an act or failure to act which presents an imminent risk of serious harm” (Child Welfare Information Gateway, 2014). 10 The Centers for Disease Control developed recommended definitions of terms related to child maltreatment to promote and improve consistency of research for public health practices (Leeb, Paulozzi, Melanson, Simon, & Arias, 2008). Like the federal definition provided by the U.S. DHHS, the CDC defines child maltreatment as “Any act or series of acts of commission or omission by a parent or other caregiver that results in harm, potential harm, or threat of harm to a child” (Leeb et al., p. 11). Acts of commission involve words or overt actions that cause harm, potential harm, or threat of harm and are generally referred to as abuse. Acts of omission involve failure to provide for needs or protect from harm or potential harm and are generally referred to as neglect. Utilizing this differentiation recommended by the CDC allows results from this study to be comparable to previous and future literature related to child maltreatment. Within study analyses, types of maltreatment were categorized as abuse (physical, sexual, or emotional abuse) or neglect (physical neglect and parental substance abuse/domestic violence). Acts of Commission (Child Abuse). Child abuse includes acts of physical abuse, sexual abuse, and emotional abuse. Physical abuse is defined by federal and state laws as nonaccidental physical injury to the child (Welfare Information Gateway, 2014). This physical injury may include striking, kicking, burning the child, or any other action that results in physical injury toward the child. Within 38 states, the definition of physical abuse also includes action that threatens the child with physical harm or causes risk of harm to the child (Welfare Information Gateway, 2014). Sexual abuse is defined by CAPTA as: “The employment, use, persuasion, inducement, enticement, or coercion of any child to engage in, or assist any other person to engage in, any sexually explicit conduct or simulation of such conduct for the purpose of producing a visual depiction of such conduct; or the rape, and in cases of caretaker or interfamilial relationships, 11 statutory rape, molestation, prostitution, or other form of sexual exploitation of children, or incest with children.” (U.S. Department of Health and Human Services, 2010, p. 31). While the federal definition of sexual abuse details specific acts of sexual abuse, some state legislation includes general definitions of sexual abuse (Welfare Information Gateway, 2014). Psychological abuse, or emotional abuse, is specified in most state definitions of maltreatment. These definitions generally include language such as “injury to the psychological capacity or emotional stability of the child as evidenced by an observable or substantial change in behavior, emotional response, or cognition” such as “anxiety, depression, withdrawal, or aggressive behavior” (Welfare Information Gateway, 2014, p. 3). This injury may result from verbal aggression towards children including shouting and intimidation or manipulation including emotional blackmail (Types of Child Abuse, 2015). Overall, psychological abuse involves causing psychological or emotional harm to a child. Acts of Omission (Child Neglect). Definitions of neglect typically involve language such as “the failure of a parent or other person with responsibility for the child to provide needed food, clothing, shelter, medical care, or supervision to the degree that the child’s health, safety, and well-being are threatened with harm” (Welfare Information Gateway, 2014, p. 2). Some states include additional provisions within definitions of neglect to include failure to educate the child as required by law and failing to provide any special medical treatment or mental health care needed by the child (Welfare Information Gateway, 2014). Neglect involves some form of caregivers neglecting to provide for the physical needs of children. Parental domestic violence and parental substance abuse are also common causes of child welfare investigations. Parental domestic violence includes exposure to the physical assault toward one or more relatives by another relative. This typically involves a male relative, such as 12 a father or husband/partner, using physical violence toward women and children (Types of Child Abuse, 2015). This violence may also involve physical abuse or emotional abuse toward the child or other family members. Parental substance abuse may include actions such as: prenatal exposure of a child to harm due to mother’s substance use, use of a controlled substance by a caregiver that impairs the caregiver’s ability to adequately care for the child, or manufacture of a controlled substance in the presence of a child or on the premises occupied by a child (Welfare Information Gateway, 2014). These actions cause direct harm to children and are therefore included in definitions of child maltreatment. Childhood maltreatment is a common problem within the United States (Wildeman, Emanuel, Leventhal, Putnam-Hornstein, & Waldfogel 2014). Each year, approximately 0.9% of children are confirmed victims of maltreatment according to the DHHS Child Maltreatment 2013 report (US DHHS, 2015). This rate has been relatively stable between 2009 and 2013 (US DHHS, 2015). Estimates of the lifetime prevalence of childhood maltreatment, however, are much greater. A study utilizing data from CPS investigations between 2004 and 2011 estimates that 12.5% of children will experience persistent or severe maltreatment leading to a confirmed CPS investigation by the age of 18 (Wilderman et al., 2014). Furthermore, self-report studies suggest even greater prevalence rates. A study conducted in 2011 using telephone interviews found that over 40% of children were maltreated during childhood (Finkelhor, Turner, Shattuck, & Hamby, 2013). These lifetime estimates suggest that many children and adolescents will experience a form of maltreatment during childhood and this maltreatment may not result in a confirmed CPS investigation. Furthermore, the prevalence of child maltreatment varies based on type of maltreatment. Prevalence studies generally include the four primary types of maltreatment (physical abuse, 13 emotional abuse, sexual abuse, and neglect), but do not often include domestic violence, parental substance abuse, and/or abandonment. Within the confirmed cases of maltreatment in 2013, nearly 80% were victims of neglect, 18% were physically abused, 9% were emotionally abused, and 9% were sexually abused (US DHHS, 2015). Estimates of the lifetime prevalence of maltreatment suggest somewhat different patterns. Among adolescents reporting lifetime victimization, emotional abuse was the most commonly reported form of maltreatment (25%), followed by neglect (22%), physical abuse (18%), and sexual abuse (0.5%; Finkelhor et al. 2014). These data indicate that neglect is the most common form of reported and substantiated maltreatment. Data from self-reports, however, indicate that neglect, physical abuse, and emotional abuse may be experienced at similar rates during childhood. Children’s trauma symptoms following maltreatment appears to be affected by several factors including the type of trauma, severity of trauma, substantiation, age, and gender. Whereas children exposed to any type of maltreatment generally exhibit symptoms of trauma, children who experience physical or sexual maltreatment appear to exhibit greater symptoms of trauma than children who experience neglect (Wechsler-Zimring & Kearney, 2011). Severity of trauma has been conceptualized in a variety of ways. Studies have examined chronicity of maltreatment as the number of different forms of trauma, number of reported maltreatment incidents, and length of time maltreatment occurred. Children who experience multiple forms of trauma (i.e., polyvictimization), a greater number of maltreatment incidents, and greater duration of maltreatment are more likely to have symptoms of posttraumatic stress and depression and externalizing behavior problems than children that experience less chronic maltreatment (Ford, Wasser, & Connor, 2011; English, Graham, Litrownik, Everson, & 14 Bangdiwala, 2005). Severity of trauma significantly predicts poorer outcomes following maltreatment. Substantiation of trauma may also predict symptoms of trauma, but current research in this area has resulted in mixed findings. A determination of substantiation is made after a child protective services investigation. Substantiated cases indicate that the investigation resulted in sufficient evidence to conclude the alleged maltreatment occurred. Unsubstantiated cases indicate that the investigation did not find sufficient evidence of maltreatment. While this determination aims to provide an indicator regarding the occurrence of maltreatment, this indicator may have poor reliability and validity due to differences across caseworkers and CPS agencies, the identification and report of maltreatment cases, a lack of credible evidence, or other factors (Hussey et al., 2005). Therefore, the determination of substantiation may under-identify actual occurrences of maltreatment. Several studies have investigated the utility of assessing substantiation in maltreatment research and have resulted in mixed findings. Some studies have found that youth with substantiated investigations of maltreatment are more likely to engage in delinquent behaviors (Snyder & Smith, 2014). Other investigations, however, have found no significant differences between unsubstantiated and substantiated investigations on behavior, adaptive skills, and trauma symptom outcomes (Hussey et al., 2005). Substantiated reports of maltreatment do predict a higher risk of an additional report of alleged maltreatment within 12 months, regardless of gender, race, age, or type of maltreatment (Fuller & Nieto, 2009). These previous findings suggest that the indication of substantiation may or may not predict negative outcomes including symptoms of trauma. This study aims to further investigate these questions by assessing the predictive validity of substantiation on perceived trauma symptoms following child maltreatment. 15 Age and developmental stage have been shown to significantly predict development of trauma symptoms. Childhood trauma exposure is related to more severe symptoms of PTSD compared to trauma exposure in adulthood, even after controlling for differences in cumulative trauma exposure or subjective differences in traumatic experiences (Ogle et al., 2013). This indicates that understanding trauma exposure and development of posttraumatic stress symptoms is particularly important among child populations. Individuals experience many developmental changes during childhood and adolescence. These differences may cause youth at different ages to develop qualitatively different responses to traumatic events. For example, adolescence is a time of identity formation and increasing independence. Experiencing a traumatic event during this developmental stage may have greater effect on overall well-being than experiencing a traumatic event at a younger age. Differences in trauma symptoms based on developmental stages have primarily examined large ranges in age such as childhood, adolescence, young adulthood, middle-age, and older adulthood (Ogle et al., 2013). Within these developmental stages, however, there may be further variance in how individuals respond to trauma. Therefore, examining age differences at narrower intervals is necessary to understand how children and adolescents may experience trauma differently. The development of trauma symptoms following a traumatic experience also varies by gender. A meta-analysis of studies examining sex differences in the relation between experiencing potentially traumatic events and developing posttraumatic stress symptoms found that males are more likely to report experiencing a traumatic event (Tolin & Foa, 2006). Sex differences were also found based on the type of traumatic experiences reported. Females were more likely to experience sexual abuse during adulthood or childhood compared to males (Tolin & Foa, 2006). Males and females were equally likely, however, to experience nonsexual abuse 16 during childhood (Tolin & Foa, 2006). After experiencing a potentially traumatic event, females are twice as likely as males to develop symptoms of posttraumatic stress (Tolin & Foa, 2006). This research examining gender differences in trauma symptoms has not examined child populations. However, it is likely that similar gender differences would emerge within a sample of maltreated children. Overall, trauma results when these events and experiences cause symptoms of posttraumatic stress that significantly interfere with functioning. Symptoms of posttraumatic stress include re-experiencing, avoidance, negative cognitions and mood, and arousal (APA, 2013). Re-experiencing a traumatic event includes any type of undesired and repetitive memory of the event. After experiencing a form of maltreatment, a child may have spontaneous memories of the event (e.g., flashbacks), recurrent dreams related to the event, or prolonged mental repetition of the events. Avoidance includes purposeful avoidance of any external reminder of the event. A child with a history of maltreatment may try to avoid the physical location abuse occurred (e.g., the family home) or may experience significant psychological distress in situations similar to the maltreatment (e.g., close physical proximity to an adult male). Negative cognitions and mood includes significant myriad feelings caused by the traumatic event. Maltreatment may cause a child to have a distorted sense of blame of self or others, diminished interest in previously enjoyable activities, or a persistent negative mood. Arousal includes aggressive or reckless behavior, sleep disturbances, and hypervigilance. A child with a history of maltreatment may engage in aggressive behavior toward others, especially in a defensive manner, as a result of experiencing trauma. Additionally, children may have difficulty sleeping or relaxing after experiencing maltreatment. 17 While many of these symptoms represent typical responses to potentially traumatic experiences, they become problematic when they interfere with functioning. This distress may affect social functioning, work or academic functioning, or other important areas. Significant trauma may be expressed by exhibiting many different types of symptoms, greater severity of symptoms, or greater impairment in one or more area of functioning. Child maltreatment and resulting trauma significantly impairs children’s functioning in multiple domains, particularly academic well-being and social-emotional well-being. Academic Well-Being While trauma appears to affect both social-emotional and academic well-being, less research has been conducted examining the academic effects of trauma and child maltreatment compared to behavioral effects. Studies have shown that child maltreatment can affect multiple areas of academic performance across schooling years (Kendall-Tackett & Eckenrode, 1996). In early childhood, children with a history of maltreatment show greater problems with receptive and expressive language skills, important early indicators of academic performance (Allen & Oliver, 1982). This places maltreated children at significant disadvantage as they enter Kindergarten. Academic deficits continue through postsecondary education. Maltreated children are less likely to complete secondary school qualifications or gain a university degree than nonmaltreated children (Boden, Horwood, & Fergusson, 2007). Two primary domains affected by trauma and maltreatment include academic achievement and academic engagement. Academic Achievement. During school years, maltreated children tend to have poorer academic achievement compared to nonmaltreated children. Academic achievement may be measured through letter grades, performance on standardized tests of achievement, or other outcome measures. In a study comparing abused and neglected children to nonmaltreated 18 counterparts, maltreated children had significantly lower grades and were more likely to repeat a grade level (Kendall-Tackett & Eckenrode, 1996). A study examining predictors of standardized academic achievement as measured by the Wide Range Achievement Test (WRAT) assessed sociodemographic variables, preschool experience, maternal factors, and abuse status among abused and matched non-abused counterparts. Among the sample of 165 abused children and 169 non-abused children, sociodemographic variables accounted for 15.8% of variance in reading achievement, 15.6% of variance in spelling scores, and 15.2% in mathematics scores (Kinard, 1999). Adding preschool experience and maternal factors did not have a significant effect on outcome measures. Abuse status significantly improved the model and accounted for an additional 1.3% change in variance for reading scores, an additional 1.6% for spelling, and an additional 1.2% for mathematics (Kinard, 1999). Abused children had significantly lower academic achievement scores than nonabused children within all three academic domains (Kinard, 1999). Academic Engagement. Academic engagement refers to self-directed behaviors related to pursuing academic tasks. This includes behaviors such as pursuing optimally challenging tasks, paying attention, and completing assignments. Academic engagement is an important aspect of children’s functioning as it predicts academic achievement (Connell & Wellborn, 1991). Among all children, academic engagement tends to decline during middle school and high school (Juvonen, Espinosa, & Knifsend, 2012). Children with a history of maltreatment, however, tend to have even lower academic engagement compared to nonmaltreated children. Preschool and school-age children with a history of maltreatment generally show lower levels of academic engagement in school as measured by parent and teacher report (Aber, Allen, Carlson & Cicchetti, 1989; Toth & Cicchetti, 1996). A study of 229 children including 146 children with 19 a history of maltreatment examined the relation between maltreatment and academic and behavioral adjustment. Children with a history of maltreatment exhibited lower academic engagement than nonmaltreated children as assessed by teacher ratings and school records (Shonk & Cicchetti, 2001). Furthermore, academic outcomes are significantly affected by the cognitive and socialemotional effects of trauma. Trauma following maltreatment is related to many areas of cognitive functioning including attention, memory, and planning. These cognitive abilities are necessary for students to attend to, benefit from, and remember academic content. Students with a history of maltreatment therefore may likely have significant difficulty engaging in academic tasks. Trauma can also result in internalizing and externalizing behavior problems which affect academic performance. Externalizing behavior problems may cause students to engage in aggressive behaviors in school that may lead to disciplinary action such as suspensions. Internalizing behavior problems may cause students to become withdrawn which may lead to less engagement with teachers or peers. These social-emotional symptoms of trauma may make it difficult for students to attend and benefit from instruction. Trauma and child maltreatment, thus, are predictive of poorer academic achievement and engagement, but current research has not examined this relation within a large sample of maltreated youth. These academic outcomes are important not only for learning and development during childhood, but also for opportunities such as postsecondary education and employment into adulthood. Understanding how trauma affects these outcomes can aid efforts to promote resilient outcomes following maltreatment. 20 Social-Emotional Effects of Trauma Trauma appears to have significant negative effects on children’s social and behavioral functioning. Children with a history of maltreatment, both abuse and neglect, often experience internalizing problems and externalizing problems. Internalizing. Children with a history of maltreatment often exhibit more internalizing behavior problems compared to nonmaltreated children (Hildyard & Wolfe, 2002). Those with a history of neglect tend to demonstrate even more internalizing problems than both abused children and nonmaltreated children (Hildyard & Wolfe, 2002). Neglected children are often socially withdrawn and do not engage with peers during preschool years (Crittenden, 1992). During early school years, neglected children tend to continue to have social difficulties and avoid peer interactions (Kaufman & Cicchetti, 1989). Furthermore, children who experience chronic maltreatment exhibit greater internalizing problems than children who experience situational maltreatment (Jaffee & Maikovich-Fong, 2011). Externalizing. Maltreatment also predicts externalizing behaviors. Children with a history of maltreatment (abuse or neglect) often exhibit more externalizing behavior problems compared to nonmaltreated children (Hildyard & Wolfe, 2002). This is especially true of physically abused children. Children with a history of abuse tend to demonstrate more externalizing problems than both neglected children and nonmaltreated children (Hildyard & Wolfe, 2002). Physically abused children are often physically aggressive toward siblings, parents, peers, and teachers, even more so than children exposed to different types of maltreatment (Crittenden, 1992). Within a longitudinal study of externalizing behavior problems, more than half (61%) of preschool children who were the subject of a child welfare investigation demonstrated low or normal problem behavior trajectories over a six-year time period, while 12% demonstrated persistently 21 high or clinical behavior problems, 23% demonstrated improving externalizing behaviors, and 4% demonstrated worsening problem behaviors (Woodruff & Lee, 2011). Another longitudinal analysis found that repeated maltreatment also predicted trajectories of externalizing behavior problems (Li & Godinet, 2013). Children with repeated maltreatment exhibited more significant behavior problems over time, compared to children with only one child maltreatment investigation (Li & Godinet, 2013). Overall, children with a history of maltreatment exhibit more significant externalizing behavior problems, especially those with a history of physical maltreatment or repeated maltreatment. Resilience Although children often experience negative academic and social-emotional outcomes following trauma such as child maltreatment, some children experience better adjustment than others (Luthar, 2006; Masten & Obradovic, 2006). These differences can be explained by the theoretical construct of resilience. Resilience refers to a dynamic process in which individuals exposed to significant adversity are able to overcome these risk factors to maintain positive adjustment (Masten, 2007, 2011; Luthar, Cicchetti & Becker, 2013). This definition of resilience requires two components: risk (the presence of a serious threat to adaptation or development) and resilience (achievement of positive adaptation and good outcomes). For example, children exposed to maltreatment who are able to maintain positive adaptation would be considered resilient. Previously, researchers thought that resilience was achieved through “special” characteristics of certain children. More recent empirical and theoretical work in this area, however, has demonstrated that resilience is an “ordinary” process that results from normal human adaptation systems (Masten, 2001). These human adaptation systems include both 22 individual factors and social-ecological systems that facilitate development with or without the presence of risk. These factors may include an individual’s coping strategies, a strong social network, and the availability and accessibility of culturally relevant services in the community. In the presence of risk, these adaptation systems mitigate the potential harm caused by adversity and stress. It is important to emphasize that resilience is a process, rather than a characteristic or event. These processes may operate before exposure to adversity by promoting the individual’s capacity to withstand and cope with future adverse experiences. Examples of these types of factors may include opportunities to develop autonomy or responsibility and successful coping with previous stressors. Conversely, these processes may operate after exposure to adversity to promote positive adaptation. Examples of these types of factors may include external changes (e.g., removal from the abusive environment) or personal actions (e.g., seeking support through friendships or professional counseling). Therefore, these influences on resilience may operate immediately after experiencing adversity such as maltreatment or may operate over a considerable time span (Rutter, 2013). As individuals experience resilience differently, it is expected that resilient outcomes may be observed after different lengths of time following exposure to adversity. Generally, however, research studies assessing resilience examine functioning outcomes approximately one year after exposure to adversity. This study assessed indicators of resilience 18 months after the report of child maltreatment. Among victims of child maltreatment, resilience has been defined as achieving a normal range of competencies across multiple domains of functioning (Walsh, Dawson & Mattingly, 2010). This study did not measure resilience directly, but rather assessed two important areas of children’s functioning, academic and social-emotional well-being, as indicators of resilience. 23 Academic engagement and academic achievement were measured to assess children’s academic functioning. Academic engagement refers to students’ active participation and effort directed toward academic tasks and goals. Academic engagement is generally assessed as a selfreport of behaviors such as completing homework, paying attention in class, and desiring to try to do well in school. Academic achievement refers to students’ actual performance on academic tasks and their academic knowledge and skills. Academic achievement is generally assessed using class grades or standardized measures of academic achievement. These measures predict later academic outcomes including postsecondary attendance (Scott & Ingels, 2007), freshmen and cumulative college grades (Geiser & Santelices, 2007), and highest degree attained (Scott & Ingels, 2007). Assessing these indicators of academic and social-emotional functioning provided a measure of current functioning, and an indicator of future educational and mental health outcomes. Externalizing behaviors and internalizing behaviors were measured to assess children’s social-emotional functioning. These behaviors are often assessed through rating scales completed by caregivers, teachers, or children. Informants reflect on the child’s behavior from a set period of time (i.e., last 2 weeks or last 2 months) and rate the frequency of specific behaviors. Externalizing behaviors include engaging in outward aggression toward others and internalizing behaviors include outward indicators of withdrawal or depression. Longitudinal analyses have consistently found that behavior problems in childhood and adolescence predict psychopathology in adulthood (Hofstra, Vand Der Ende, & Verhulst, 2002; Reef, 2010; Loth, Drabick, Leibenluft, & Hulvershorn, 2014). 24 Within resilience literature, the factors that are found to be related to more resilient outcomes are referred to as protective factors. Significant research since the early 2000s has examined the role of many different characteristics and factors that appear to promote resilience. These protective factors include characteristics at the individual, family, and community level. Individual-level protective factors include characteristics such as personality traits, intellect, selfefficacy, coping skills, and having an internal locus of control (Ungar, Ghazinour, & Richter, 2013). Family-level protective factors include having sufficient resources such as time and money, having supportive caregivers and caregiving environments, and families having adaptive coping strategies (Ungar, Ghazinour, & Richter, 2013). Community-level protective factors include positive peer relationships, nonfamily member relationships and social support, and religion (Ungar, Ghazinour, & Richter, 2013). The presence of these positive protective factors has been shown to predict more resilient outcomes among victims of maltreatment Social Support Social support has been found to be a significant protective factor that promotes resilient outcomes in the presence of risk. Social support has been defined and conceptualized in many ways. Social support includes the existence of social relationships, the structure of social networks, and the functions of social support (House, Kahn, McLeod, & Williams, 1985). Gottlieb (1983) defines social support broadly as “verbal and non-verbal information or advice, tangible aid, or action that is offered by social intimates or inferred by their presence and has beneficial emotional or behavioral effects on the recipients” (p. 28). Types of social support include emotional, instrumental, informational, and appraisal support (Barrera, 1986). Emotional support involves a subjective feeling that one is cared for, loved, and valued (Langford, Bowsher, Maloney, & Lillis, 1997). It results from positive social 25 interactions that cause positive affect and a sense of belonging and acceptance. Students receiving emotional support would feel that they are valuable members of their school community and are cared for and loved by their guardians. Instrumental support involves the provision of tangible support in the form of goods and services (Langford et al., 1997). This form of support is concrete and can be measured more objectively. Students receiving instrumental support may obtain counseling services from a school employee or other professional. Information support involves the provision of information during a time of stress to support problem-solving (Langford et al., 1997). Students receiving informational support may receive instruction in deep breathing techniques to manage stress or may receive advice regarding how to manage or alleviate a situation causing stress. Appraisal support involves provision of affirmations regarding self-evaluation (Langford et al., 1997). Students receiving appraisal support may receive feedback from a teacher commending the student for appropriately responding to an interpersonal conflict. While all types of social support are important and enable individuals to receive helpful support, emotional support has been regarded as the most significant because it is more salient than other forms of support. When individuals describe supportive acts they have received, they primarily describe examples of emotional acts rather than other tangible forms of support (Gottlieb, 1978). This suggests that individuals regard emotional support as the most important type of social support. A primary characteristic of social support therefore includes actions that cause an individual to feel cared for and emotionally supported. Another important distinction regarding social support is the difference between perceived and enacted support. Gottieb’s (1983) definition includes these forms of support as “offered” and “inferred” support. Perceived support involves an individual’s perception 26 regarding the availability of support if needed (Barrera, 1981; 1986). Enacted support involves the actual occurrence of a socially supportive exchange (Barrera, 1981; 1986). Enacted support refers to direct actions taken by others with the intent to alleviate others’ distress (Gleason & Iida, 2015). The course of enacted support has been modeled as a three-stage process (Pearlin & McCall, 1990). First, the need for support must be communicated directly or indirectly to the provider. Second, the provider must be able to recognize the need for support and determine whether he or she can provide it. Third, the actual support is either provided or not provided. This model hypothesizes that each of these three stages must be enacted appropriately for successful provision of social support. Perceived social support does not require each of the stages of enacted social support. Perceived social support is defined as an individual’s beliefs regarding the availability of different types of social support from their social ties (Gottlieb & Bergen, 2010). This includes perceptions of care, respect, acceptance, and relatedness from familial and nonfamilial relationships. It is the belief or understanding that effective support is available from social relationships when it is needed. This belief may be consistent or inconsistent with the actual social support received from social networks. A meta-analysis examining the effect sizes of studies comparing enacted and perceived social support found that these constructs are weakly correlated with an average correlation of r = .35, p < .001 (Haber, Cohen, Lucas, Baltes, 2007). Perceived social support may be influenced by an individual’s perception of relationships, judgement of the value or potential effectiveness of a supportive relationship, or memory of previous support needed or received (Laskey & Drew, 1997). This may cause individuals to perceive that they have more or less social support available than they actually receive. 27 While perceived social support may not accurately measure the degree of support available and provided to an individual, it is an important construct to assess. Research on perceived and enacted support has found that individuals’ sense of supportive relationships is a significant buffer against adversity and stress, possibly even more so than enacted social support (Gottieb & Bergen, 2010). This study conceptualizes social support as perceived, rather than enacted, support from social relationships. Furthermore, emotional forms of social support were emphasized in this study, rather than tangible forms of support. Social support was measured as the individual’s perception regarding the availability of emotional support if needed and their beliefs regarding the supportiveness of their social relationships and environment. Perceived social support has been one of the most consistently replicated correlates of resilient outcomes in the presence of trauma (Brewin, Andrews & Valentine, 2000). Studies examining social support have primarily assessed the role of social support as a main effect; limited research has studied social support as a buffer or moderator of resilience (Wilson & Scarpa, 2014). The existing research, however, provides strong evidence that children with greater perceived social support have more resilient outcomes, including among maltreated children. Children with greater available social support following maltreatment have fewer depressive symptoms at follow-up (Dingfelder, Jaffee, & Mandell, 2010) and fewer posttraumatic stress symptomatology (Muller, Goebel-Fabbri, Diamond, & Dinklage, 2000). Maltreated children with low social support during childhood, however, are more likely than nonmaltreated children to become abusers during adulthood (Litty, Kowalski, & Minor, 1996). This indicates that perceived social support is particularly important in developing positive outcomes among children with a history of maltreatment. 28 Children may experience social support from a variety of relationships. Two salient relationships in children’s’ lives include relationships with caregivers and peers. These different sources of support may both provide children with perceived emotional support. Relationships with caregivers and friends can produce close personal connections. Children may disclose personal information such as their feelings, desires, and concerns with individuals in a caregiver role or a friend role. Caregivers and peers may also both express positive affect toward the child. While both of these relationships may provide children with perceived emotional support, they may do so in different ways. Furthermore, children may rely on different sources of support differentially based on their developmental stage, life circumstances, or type of social support needed. Caregiver Social Support. Relationships with caregivers are typically children’s first and primary personal relationship. Children develop attachment relationships with caregivers as their emotional needs are met. Caregivers generally provide a sense of security, love, and warmth toward children. This provides children with emotional forms of social support they need. Peer Social Support. Relationships with peers typically become more salient once children begin attending school or day care. Children begin to rely more on peer relationships compared to caregiver relationships as they get older. Among children with a history of maltreatment, peer relationships may provide a more secure source of support than caregiver relationships. After allegations of maltreatment, children may be removed from their biological or primary caregiver’s home and may experience transition in their living environment. Furthermore, the child’s caregiver may be the subject of a child welfare investigation causing a lack of trust for their primary caregiver or others in a caregiver role. Without this trust and 29 reliability, children may not seek social support from caregivers. Instead, they may seek and benefit from greater social support from peers. Peer social support may serve a unique purpose among children with a history of maltreatment. Purpose of the Present Study The current literature provides sufficient evidence that children with a history of maltreatment tend to experience symptoms of trauma and poorer social-emotional and academic outcomes, compared to children with no history of maltreatment. The literature also supports the positive role of social support in promoting resilience and positive outcomes among children including those with a history of maltreatment. Although these issues have been studied within previous research, several gaps still exist within current literature. This study addressed three primary gaps within current trauma and resilience literature. First, current research primarily measures social support between the child and caregiver. This study assessed both caregiver and peer social support as potential protective factors. By examining both perceived caregiver social support and perceived peer social support, this study can draw conclusions relevant to both the home and school environment. Second, studies of trauma and resilience have primarily utilized social-emotional outcome variables such as delinquency, external behavior problems, and Posttraumatic Stress Disorder symptoms. This study assessed both social-emotional (i.e., internalizing behavior problems and externalizing behavior problems) and academic outcomes (i.e., academic achievement and academic engagement). By examining both social-emotional and academic outcomes, this study examined indicators of resilience among a broader range of domains relevant to children’s lives. Addressing these gaps aided in providing a more comprehensive understanding of the role of social support in moderating the relation between trauma and 30 outcomes relevant to children’s lives. Additionally, this provided information relevant to both the home and school settings. Third, most extant studies utilize retrospective, self-report interviews with adult samples, rather than assessing measures with child samples. This study addressed this gap by assessing children’s current perceived trauma symptoms, perceived social support, and outcomes. By examining current trauma symptoms, social support, and outcomes, this study aimed to obtain more reliable and valid estimates of these variables. This provided more appropriate conclusions relevant to children at the time of maltreatment. Research Questions and Hypotheses The following research questions were assessed within this study. The first two questions address the role of social support from caregivers and peers as a protective factor following child maltreatment. The third and fourth questions addressed how maltreatment and demographic characteristics may predict perceived trauma symptoms and perceived social support. Research Question 1. Does social support serve as a protective factor, moderating the relation between trauma and academic and social-emotional well-being? Hypothesis 1. As children’s perceived social support from caregiver and peer relationships increases, the negative relation between trauma and outcomes will decrease. Research Question 2. Is caregiver social support or peer social support a more important moderator between trauma and outcomes within the overall conceptual model? Hypothesis 2. Peer social support will exhibit a stronger moderating relationship within the conceptual model compared to caregiver social support, as measured by parameter estimates and goodness of fit indices. 31 Research Question 3. Do children’s perceived trauma symptoms vary based on type of maltreatment, severity of maltreatment, substantiation, age, or gender? 3a. Do children’s perceptions of trauma differ between children referred primarily for abuse (physical abuse, emotional abuse, sexual abuse) versus neglect (physical neglect, parental domestic violence/substance abuse)? Hypothesis 3a. Children with investigations primarily due to abuse will exhibit greater trauma symptoms compared to those with investigations due to neglect. 3b. Do children’s perceptions of trauma differ based on the level of harm they experienced as reported by caseworkers? Hypothesis 3b. Children judged to have experienced moderate to severe harm will exhibit greater trauma symptoms compared to those with mild or low harm as reported by the caseworker. 3c. Do children’s perceptions of trauma differ based on the determination of substantiation of maltreatment? Hypothesis 3c. Children with substantiated investigations of maltreatment will exhibit greater trauma symptoms compared to those with unsubstantiated investigations of maltreatment. 3d. Do children’s perceptions of trauma differ based on age? Hypothesis 3d. Younger children will exhibit greater trauma symptoms compared to older adolescents. 3e. Do children’s perceptions of trauma differ between males and females? Hypothesis 3e. Females will exhibit greater trauma symptoms compared to males. Research Question 4. Do children’s perceived social support vary based on type of maltreatment, severity of maltreatment, substantiation, age, or gender? 32 4a. Do children’s perceptions of social support differ between children referred primarily for abuse (physical abuse, emotional abuse, sexual abuse) versus neglect (physical neglect, parental domestic violence/substance abuse)? Hypothesis 4a. Children with investigations due to neglect will report greater support from caregivers compared to those with investigations due to abuse. Children with investigations due to abuse will report greater support from peers compared to those with investigations due to neglect. 4b. Do children’s perceptions of social support differ based on the level of harm they experienced as reported by caseworkers? Hypothesis 4b. Children with moderate to severe harm will perceive less social support from both caregivers and peers compared to children with mild or no harm as reported by caseworkers. 4c. Do perceptions of social support differ based on the determination of substantiation of maltreatment? Hypothesis 4c. Children with substantiated investigations of maltreatment will perceive less social support from both caregivers and peers compared to children with unsubstantiated investigations of maltreatment. 4d. Do perceptions of social support differ based on age? Hypothesis 4d. Younger children will perceive greater support from caregivers compared to older children. Older children will perceive greater support from peers compared to younger children. 4e. Does perceived social support differ between males and females? 33 Hypothesis 4e. Females will report greater perceived support from peers compared to males. Males will report greater perceived support from caregivers compared to females. 34 CHAPTER 3 METHODS Study Model Two conceptual models were proposed (see Appendix A). The conceptual models depict the hypothesized relation between trauma, social support, and academic and social-emotional outcomes through caregiver relationships and peer relationships. Model 1 evaluates the latent variable of caregiver social support as a moderator while Model 2 evaluates the latent variable of peer social support as a moderator. Overall, the conceptual model (Figure 1) represents the hypothesis that social support serves a unique and important role among children with a history of maltreatment. Following previous literature on resilience and social support, it was hypothesized that social support moderates the relation between trauma symptoms and outcomes. To assess moderation, interaction terms between each form of social support and trauma were assessed. This evaluated whether social support acts as a protective factor, buffering children from the potentially harmful outcomes associated with trauma and maltreatment. Children with greater support from caregivers and peers were hypothesized to have greater social resources to cope with the trauma and would therefore be more likely to overcome adversity. The proposed study models also depict the hypothesis that caregiver social support and peer social support serve different roles in the lives of children with a history of maltreatment. Consequently, caregiver and peer social support were assessed as separate latent variables. Children engage in relationships with caregivers and peers differently and may meet different needs through these types of relationships. These differences may be even more prominent among children with a history of maltreatment. Therefore, it was hypothesized that while 35 caregiver social support and peer social support may both act as protective factors, they may relate differently to the overall conceptual model. Children with a history of maltreatment, particularly adolescents, may rely more on relationships with peers compared to relationships with caregivers. Social support from peer relationships may be more important than caregiver social support. Predictors of perceived trauma symptoms were also identified within the study model. As previously discussed, individuals respond to potentially traumatic events differently. Previous research has identified factors that predict the risk of developing symptoms of trauma following a potentially traumatic event. It was hypothesized that perceived trauma symptoms can be explained by the type of maltreatment, severity of maltreatment, substantiation of maltreatment, age, and gender. Similarly, the study model includes predictors of social support. These variables may also influence how the child develops social relationships and the nature of those relationships. It was hypothesized that perceived social support can be explained by the type of maltreatment, severity of maltreatment, substantiation of maltreatment, age, and gender. Overall, symptoms of trauma predict academic and social-emotional well-being. Children who experience significant trauma following maltreatment generally experience negative outcomes. Trauma affects many areas of functioning which may negatively influence outcomes including academic and social-emotional well-being. It was hypothesized that trauma predicts academic well-being (achievement and engagement) and social-emotional well-being (internalizing and externalizing behaviors). Children with greater trauma are more likely to experience poorer academic and social-emotional outcomes. 36 Figure 1 Conceptual Model Study Design Data from the second National Survey of Child and Adolescent Well-Being (NSCAW II) were utilized for this study. The initial NSCAW was a longitudinal study administered and funded by the Administration for Children and Families of the U.S. Department of Health and Human Services. The purpose of the NSCAW was to study outcomes of abused and neglected children and their involvement with the child welfare system. Although other national longitudinal studies of child welfare had been conducted, the NSCAW was the first to collect data from children and families and to relate well-being to a wide range of individual, family, community, and agency factors. The NSCAW study was conducted between October 1999 and 37 December 2007. The NSCAW II study comprised a new cohort of children and included essentially the same design as the NSCAW and was conducted between February 2008 and December 2012. The NSCAW study was designed and implemented through collaboration and consultation with various research entities and individuals. Collaborators included the Research Triangle Institute (RTI), University of California at Berkley (UCB), Caliber Associates (Caliber), University of North Carolina at Chapel Hill, and Child and Adolescent Services Research Center at San Diego Children’s Hospital. A team of experts in child welfare, longitudinal data collection, agency services research, developmental psychology, and data analysis met in April 1997 to design the procedures of the NSCAW study. The Technical Workgroup engaged in ongoing advising and consultation during the study and included experts in child welfare agencies and systems, social welfare policy, child and youth development, and other areas. Data from the NSCAW and NSCAW II are available through licensing agreements with the National Data Archive on Child Abuse and Neglect (NDCAN) at Cornell University. A General Release data set and a Restricted Release data set are available. The General Release data set contains variables that were removed or altered to further ensure de-identification of participants. The Restricted Release data set, while still including de-identified information, contains a greater number of variables and specific responses from variables. This study utilized the Restricted Release data set of the NSCAW II to understand the role of social support in fostering resilience within a large sample of maltreated youth. Data Collection. The NSCAW II was conducted over multiple waves of data collection using multiple informants. Three waves of data collection were conducted between February 2008 and December 2012. Wave 1, or baseline data collection, was completed between March 38 2008 and September 2009. Wave 2 was completed between October 2009 and January 2011, 18 months after the close of the child welfare investigation of suspected maltreatment. Wave 3 was completed between June 2011 and December 2012, 36 months after the close of the child welfare investigation. NSCAW II includes a cohort of 5,872 children, aged birth to 17.5 years old who had contact with the child welfare system within a 15-month period. Children, parents, nonparent caregivers (e.g., foster parents, kin caregivers, group home caregivers), teachers, and investigative caseworkers completed interviews to provide information about the child during each wave of data collection. Original NSCAW Sample The original NSCAW sample design included two stages of a stratified sample. In the first stage, the U.S. was divided into nine strata. Four states were excluded due to requiring child welfare agencies to make initial contact with potential participants, rather than NSCAW researchers. Eight strata comprised the 8 states with the largest number of child welfare cases. The ninth strata included the remaining 38 states. Primary Sampling Units (PSUs) were created by geographic areas that encompass the population of one child protective service agency. A random selection of PSUs was conducted. This resulted in 92 responding and eligible PSUs within the original NSCAW study. Within the NSCAW II sampling, the same counties were approached for participation resulting in 76% retention of the original PSUs. In the second stage, cases were randomly selected from each PSU. Each PSU compiled lists of children investigated or assessed for suspected abuse or neglect during a 14-month period between February 2008 and April 2009. Only children investigated as victims were included in sampling (rather than perpetrators). Only one child per family could be included in sampling. A 39 random sample of children and families was selected from each of the sampling domains within each PSU. There are several issues to consider regarding the representation of the NSCAW sampling. Sampling procedures oversampled some populations (e.g., infants and cases receiving ongoing services) to provide a sufficient sample size of these subgroups. Additionally, some PSUs did not allow inclusion of cases that were unsubstantiated following the investigation. Sampling also excluded agencies with few children investigated for suspected abuse and neglect and excluded PSUs that required the child welfare agency to contact potential participants before the researchers. Additionally, administrative files may have had incomplete lists of cases investigated for abuse and neglect at the time of sampling. These issues could have created noncoverage bias. NSCAW researchers examined these issues and compared data to other representative national longitudinal studies. They found that there were small bias estimations for differences between the sampled group and the estimated population regarding age, gender, race/ethnicity, and substantiated or unsubstantiated cases of abuse and neglect. Demographic characteristics of the original NSCAW II sample are provided in Table 1 (N=5,872). The NSCAW II data set includes children from less than one year old (31.4%) to 17 years old (1.1%). The sample includes a greater percentage of younger children compared to older adolescents. The NSCAW II sample included approximately half male (51.4%) and half female (48.6%) participants. The majority of the unweighted sample were White/Non-Hispanic (41.7%), while significant proportions were Hispanic (27.7%) and Black/Non-Hispanic (22.7%). 40 Table 1 Demographic Characteristics of NSCAW II Characteristic Sample N Sample % Child Age 0 1,845 31.4% 1 763 13% 2 329 5.6% 3 290 4.9% 4 277 4.7% 5 261 4.4% 6 220 3.7% 7 235 4.0% 8 218 3.7% 9 181 3.1% 10 199 3.4% 11 170 2.9% 12 156 2.7% 13 165 2.8% 14 166 2.8% 15 167 2.8% 16 164 2.8% 17 66 1.1% Child Gender Male 3,017 51.4% Female 2,855 48.6% Child Race/Ethnicity Black/Non-Hispanic 1827 31.2% White/Non-Hispanic 2003 34.2% Hispanic 1614 27.6% Other 407 7.0% Weighted N Weighted % 170,448 162,454 177,959 225,884 167,705 165,368 146,127 149,135 144,667 117,450 125,118 120,642 116,206 124,225 108,283 110,125 93,990 49,060 6.9% 6.6% 7.2% 9.1% 6.8% 6.7% 5.9% 6.0% 5.8% 4.7% 5.1% 4.9% 4.7% 5.0% 4.4% 4.4% 3.8% 2.0% 1,258,849 1,215,997 50.9% 49.1% 561,361 1,032,610 685,894 186,274 22.7% 41.7% 27.7% 7.5% Final Sample for Current Study The current study will utilize a sample of children ages 11 to 17 years old children at the first wave of the NSCAW II (2008-2012) data set who had valid measures of trauma symptoms, caregiver social support, peer social support, and internalizing and externalizing behaviors, direct assessment of reading and mathematics achievement, parent report of internalizing and externalizing behaviors, and a sample weight variable to estimate population statistics. The final 41 sample meeting these criteria consisted of 697 children. Trauma and social support were assessed at Wave 1 of data collection. Academic and social-emotional well-being were assessed at Wave 2 of data collection. Of the sample of 697 children, 497 completed measures at the time of Wave 2 sampling. Unweighted and weighted demographic characteristics of the sample are presented in Table 2 (N=697). Children’s ages within the estimated population ranged from 11 years (20.7%) to 17 years (3.8%) following sampling criteria. The majority of the estimated population was female (62.5%). White/Non-Hispanic children accounted for an estimated 41.7% of the population, Black/Non-Hispanic children accounted for 20.3% of the population, Hispanic children accounted for 27.8% of the population, and 10.2% of the estimated population included children of other race/ethnicities. Table 2 Demographic Characteristics of Sample Characteristic Sample N Sample % Weighted N Weighted % Child Age 11 133 19.1% 101,608 20.5% 12 120 17.2% 99,139 20.0% 13 109 15.6% 85,297 17.2% 14 116 16.6% 75,655 15.3% 15 107 15.4% 70,604 14.2% 16 80 11.5% 46,062 9.3% 17 32 4.6% 17,671 3.6% Child Gender Male 301 43.2% 193,952 39.1% Female 396 56.8% 302,087 60.9% Child Race/Ethnicity Black/Non-Hispanic 182 26.1% 101,123 20.3% White/Non-Hispanic 274 39.3% 207,323 41.8% Hispanic 165 23.6% 136,906 27.6% Other 76 10.9% 50,685 10.2% Child Welfare Characteristics. In addition to demographic characteristics of this sample, it is also important to understand participants’ experience with the child welfare system. Table 3 presents unweighted and weighted child welfare characteristics of the study sample. The 42 majority of the estimated population included children that were the subject of a child welfare investigation primarily due to physical abuse (33.1%) or neglect (29.4%), while a smaller proportion of the population included children exposed to emotional abuse (8.2%), sexual abuse (12.8%), or parental substance abuse/domestic violence (16.4%). These categories refer to the primary type of maltreatment that was investigated by child protective services report used to select the case in the NSCAW II sampling. Children may have experienced other forms of maltreatment within or prior to the child welfare investigation. After recoding these variables to dichotomous categories, 54.1% of the population experienced a form of abuse (physical, sexual, or emotional abuse) while 45.9% experienced a form of neglect (physical neglect or parental substance abuse or domestic violence). Child welfare caseworkers provided a subjective rating of the severity of harm the child experienced by responding to the following question: “Regardless of the outcome of the investigation, how would you describe the level of harm to the child? Would you say…none, mild, moderate, or severe?” The majority of the estimated population experienced low levels of harm (none or mild) as reported by the caseworker (73.7%), while a still significant percentage experienced high levels of harm (moderate or severe) due to maltreatment (19.9%). Most cases had prior reports of maltreatment (68.3%), were handled through an investigation (80.9%), and resulted in substantiated charges (73.7%). Following the report of alleged maltreatment, most cases did not receive child welfare services (67.1%) and most children remained in the home with a biological parent (88.6%). Other settings included a home with an adoptive parent, formal or informal kin-care, foster care, a group home, or another type of out of home setting. 43 Table 3 Child Welfare Characteristics of Sample Characteristic Sample N Sample % Weighted N Weighted % Type of Maltreatment Physical Abuse 218 31.3% 164,415 33.1% Emotional Abuse 52 7.5% 40,569 8.2% Sexual Abuse 110 15.8% 63,578 12.8% Neglect 199 28.6% 146,032 29.4% Parental Substance Abuse/Domestic Violence 118 16.9% 81,442 16.4% Type of Maltreatment - Dichotomized Abuse 380 54.5% 268,562 54.1% Neglect 317 45.5% 227,474 45.9% Level of Harm None 220 31.6% 250,209 50.3% Mild 210 30.1% 146,354 23.4% Moderate to Severe 260 37.3% 98,767 19.9% Prior Reports of Maltreatment Yes 477 69.4% 339,001 68.3% No 206 29.6% 139,861 28.1% Case Procedures Investigation 580 83.2% 401,744 80.9% Assessment 83 12.0% 71,779 14.4% Assessment that later resulted in an investigation 26 3.7% 18,166 3.7% Other 5 0.7% 4,066 0.8% Case Substantiated Yes 339 48.6% 124,331 73.7% No 337 48.4% 347,528 26.3% Services Received Yes 408 58.5% 163,579 32.9% No 289 41.5% 332,460 67.1% Child Setting In-Home: Bio Parent 466 66.8% 415,662 88.6% In-Home: Adoptive Parent 25 3.6% 16,388 3.5% Formal Kin Care 48 6.9% 11,202 2.4% Informal Kin Care 47 6.9% 30,122 6.4% Foster Care 77 11.0% 15,029 3.2% Group Home/Res Program 31 4.4% 6,414 1.4% Other OOH Arrangement 7 1.0% 1,219 0.2% 44 Sample Criteria. Data utilized for this study were limited to children between the ages of 11 and 17.5. This study aimed to investigate the role of social support among adolescents. This developmental period is characterized by greater dependence on peer relationships and less dependence on family relationships for social support. Therefore, it was hypothesized that peer social support may promote resilience among adolescents affected by abuse and neglect. Additionally, several of the variables of interest were only administered to children age 11 years and older (e.g., Rochester Assessment Package for Schools). Excluding children younger than 11 years old allowed for the use of these measures. The maximum age of children included in Wave 1 of the NSCAW II was 17.5. This was used as the maximum age within this sample to allow for a greater sample size and include participants in the developmental periods of early adolescence through late adolescence. The current sample was limited based on the type of maltreatment. Case workers reported the primary type of maltreatment of the investigation selected from NSCAW II sampling from 16 categories (e.g., physical maltreatment, neglect, abandonment, domestic violence, voluntary relinquishment). Child welfare investigations in which abuse or neglect were not the primary cause of maltreatment (e.g., abandonment, educational maltreatment, child in need of services) were excluded from the sample as to not confound results (N=326). Within the NSCAW II data set, physical neglect and lack of supervision neglect were categorized separately. For the purpose of this study, these types of maltreatment were combined to form one category of neglect. Similarly, domestic violence and substance abuse by a parent were combined to form one category of parental domestic violence/substance abuse. This allowed for consistent categories in these areas with a sufficient sample size to include in analyses. The current sample was restricted 45 to the following five types of maltreatment: physical abuse, emotional abuse, sexual abuse, neglect, and parental domestic violence/substance abuse. Given the interest in examining peer social support within the school setting and academic outcomes, children who were not attending school at the time of Wave 1 interviews were excluded from the final sample (N=28). Finally, cases in which a sample weight variable was not provided within the NSCAW II Wave 2 data set were excluded (N=3). No other sampling criteria were applied. Missing Data. Within each measure, data for individual items or composites is missing for some participants. During child interviews, participants had the option to respond with “Don’t know” or “Refuse to answer” for each questionnaire item. Individual items used to create latent variables within this study had up to 24 missing responses within the 697 cases. The majority of participants, however, had complete or mostly complete responses. Within the trauma measure, one case was missing all items. Within the caregiver social support measure, seven cases were missing all items. Within the peer social support measure, one case was missing all items. Within the academic achievement measures, ten cases were missing scores for the reading subtest and eleven cases were missing scores for the mathematics subtest. The academic engagement measure did not have any cases missing all items. Similarly, the child report of internalizing and externalizing behaviors did not have any missing cases. The parent report of internalizing and externalizing behaviors was missing 12 cases. Overall, up to 2% of cases were missing for each variable utilized in this study. To account for this missing data, maximum likelihood estimation was used to estimate missing observations. This procedure involves estimating values through the mean and variance of collected responses and identifying the most probable value given the model. Using maximum likelihood estimation provided more 46 reliable parameter estimates, standard errors, and test statistics compared to other analyses to address missing data (i.e., multiple imputation). Sample Weights. Descriptive analyses on the final sample include unweighted and weighted means. Unweighted descriptive statistics represent the NSCAW II population in which each case was counted equally. Weighted descriptive statistics estimate the entire population of children at the time of sampling, and accounts for children who were not sampled. As previously discussed, the NSCAW II utilized complex sampling procedures, including oversampling of selected populations. To adjust for differential selection probabilities and non-response bias, sample weights were designed within the NSCAW II to account for the unequal probabilities of selection within the national sample. Therefore, structural equation analyses were computed using sample weights, which allows for results that are generalizable to the population. Variables and Measures Variables were constructed using selected measures from the NSCAW II data set. A description of the measures for each predictor and outcome variable is described below in relation to the conceptual model. These variables include demographic variables, trauma, caregiver social support, peer social support, academic achievement, academic engagement, internalizing behaviors, and externalizing behaviors. See Table 4 for a complete list of latent constructs and variables. 47 Table 4 Summary of NSCAW II Measures Corresponding to Constructs Construct NSCAW II Variables NSCAW II Data Source Type of Maltreatment Type of Abuse Caseworker Severity of Maltreatment Level of Harm to Child Caseworker Substantiation Substantiated Indicator Caseworker Age Child age - Years Child/Caregiver/Caseworker Gender Child Gender Child/Caregiver/Caseworker Trauma Symptoms* Posttraumatic Stress subscale of Child Trauma Symptom Checklist for Children Caregiver Social Support* Rochester Assessment Package for Child Schools Peer Social Support* Loneliness and Social Child Dissatisfaction Questionnaire Academic Achievement* Woodcock-Johnson III Tests of Direct Child Assessment Achievement Letter-Word Identification and Applied Problems subtests Academic Engagement* School Engagement Questionnaire Child Internalizing Behaviors* Youth Self Report Internalizing Child/Caregiver composite Child Behavior Checklist Internalizing composite Externalizing Behaviors* Youth Self Report Externalizing Child/Caregiver composite Child Behavior Checklist Externalizing composite Note: * indicates a latent construct. Confirmatory Factor Analysis was conducted on individual items to identify constructs. Demographics. Demographic information regarding the child and circumstances of maltreatment were analyzed to evaluate whether children’s trauma symptoms and social support differed based on certain characteristics. These characteristics have been shown in previous studies to explain differences in trauma symptoms. Type of maltreatment, severity of maltreatment, substantiation of maltreatment, age, and gender were included as demographic variables. Type of maltreatment was assessed with the same question used to select the sample. The measure was a project developed question assessing the primary type of maltreatment within the 48 child protective services report used to select the case in the NSCAW II sampling. Response options included in the sample were: physical abuse, emotional abuse, sexual abuse, neglect, and parental domestic violence/substance abuse. These responses were dichotomized into the categories of abuse (physical, emotional, and sexual abuse) and neglect (physical neglect and parental domestic violence/substance abuse). Severity of maltreatment was assessed using the caseworker’s report of the level of harm the child experienced as a result of the maltreatment under investigation. Child welfare caseworkers provided a subjective rating of the severity of harm the child experienced by responding to the following question: “Regardless of the outcome of the investigation, how would you describe the level of harm to the child?” Response options were: none, mild, moderate, or severe. These responses were recoded into three categories of “none,” (N=220) “mild,” (N=210) and “moderate to severe” (N=260). These categories provided comparable sample sizes across groups and allowed for assessing differences based on the level of harm the child experienced as judged by the caseworker. This variable was treated as an ordinal variable as it was assessed within the original NSCAW II as an ordinal variable. Response options included ordered categories, but the difference between response options were not equivalent. The difference between the categories of “none” and “mild” is not equal to the difference between the categories of “mild" and moderate to severe.” Substantiation was assessed using the caseworker’s report of the outcome of the child protective services report used to select the case in the NSCAW II sampling. Following a child welfare investigation of a report of maltreatment, child welfare services determined whether the allegation of abuse or neglect is substantiated or unsubstantiated. A determination of substantiation indicated that credible evidence of the abuse or neglect exists. This determination 49 was made by the child welfare caseworker evaluating whether there was enough credible evidence to suggest that the probability of child maltreatment having occurred is over 50% (Action, 2008). A child welfare case may not be deemed “substantiated” if there is not enough evidence to support the allegation of abuse or neglect. Therefore, this measure is not a direct assessment of whether or not maltreatment occurred. Substantiation determinations are used to classify individuals as abusers and neglectors within an automated tracking system and to provide accountability to caregivers and other stakeholders regarding the outcome of a child welfare investigation (Action, 2008). Substantiation determinations are not necessary for children to receive child protective services, to determine the safety of children, or to initiate court proceedings or make an adjudication decision (Action, 2008). Within the NSCAW II dataset, caseworkers indicated whether the investigation was substantiated with a rating of “Yes” (N=339) or “No” (N=337). Age and gender were also measured using project developed questions completed by the child, caregiver and caseworker. Each of these variables were created within the NSCAW II data set by combining the corresponding child interview, caregiver interview, and caseworker interview questions. Age represents the child’s age at the time of sampling in years with a range of 11 years to 17 years. Gender was assessed with binary male and female response options. If child, caregiver, or caseworker responses differed, the majority response was assigned. Trauma. Perceived trauma symptoms were measured using the child interview responses to a standardized measure of posttraumatic stress symptoms. Trauma symptoms were measured at each wave of data collection in the original NSCAW II study. For the purpose of this study, trauma symptoms were assessed at the initial wave of data collection to provide a measure of initial trauma. The posttraumatic stress subscale of the Trauma Symptom Checklist for Children 50 (TSCC; Briere, 1996) is a frequently used measure of self-reported indicators of posttraumatic stress symptoms. Reliability of the TSCC was r=.87 within the standardization sample. Reliability within the current study was r=.85. This is the only measure available within the NSCAW II data to directly assess symptoms of trauma and was only completed by children. Children responded “1=Never,” “2=Sometimes,” “3=Lots of times,” or “4=Almost all of the time” to ten items. These items assessed posttraumatic stress symptoms including intrusive recollections of traumatic events, sensory re-experiencing and nightmares, dissociative avoidance, and fears related to the traumatic experience. Specific item statements or questions are not available within the NSCAW II dataset. Children’s responses to the TSCC items were used as an indicator of overall symptoms of trauma. Since individual item responses were provided within the NSCAW II data set, factor analyses were conducted to verify the latent variable structure. Confirmatory Factor Analysis (CFA) using the maximum likelihood parameter estimate (estimator MLR) specifying all ten items representing the construct of trauma using Mplus 7.4 (Muthén & Muthén, 2012) was conducted with 696 participants within the sample that completed this measure. Highly correlated items were identified and integrated within the CFA model (T2 with T1; T7 with T6). See Table 5 for final factor loadings and standardized and unstandardized coefficients. All items loaded significantly on the hypothesized construct of perceived trauma symptoms. Fit indices included RMSEA = 0.037, with 90% CI = [0.024, 0.051], and CFI/TLI fit indices close to 1, indicating the model fits the data reasonably well. This variable will indicate the extent to which children report experiencing symptoms of posttraumatic stress following alleged maltreatment and is represented by a normed T-Score. Higher scores on this measure correspond to greater symptoms of trauma. 51 Table 5 Confirmatory Factor Analysis for One-Factor Model of Trauma Symptoms Items Unstandardized Standard Error (SE) Standardized T1 1.000 0.000 0.620 T2 1.230 0.083 0.763 T3 1.196 0.092 0.742 T4 0.093 0.087 0.577 T5 1.319 0.069 0.818 T6 1.105 0.087 0.685 T7 0.785 0.099 0.487 T8 1.309 0.089 0.812 T9 1.417 0.083 0.879 T10 1.066 0.075 0.661 Note: All factor loadings were significant (p<.001). Caregiver Social Support. Perceived caregiver social support was assessed by a measure completed by the child at the initial wave of data collection. This provided an assessment of the child’s perceived support from the primary caregiver following the report of maltreatment. The Rochester Assessment Package for Schools (RAPS; Connell, 1990; Lynch & Cicchetti, 1991) assessed children’s feelings about their relationship with their caregivers. Domains assessed included autonomy, involvement, emotional support, and structure. Reliability for this measure within the original NSCAW study was high (r=.88). Reliability within the current study was r=.91. Children responded “1=Not at all true,” “2=Not very true,” “3=Sort of true,” or “4=Very true” to the following 12 items about their current caregiver: • When I’m with my [caregiver], I feel good. How true is this? • When I’m with my [caregiver], I feel mad. How true is this? • When I’m with my [caregiver], I feel unhappy. How true is this? • My [caregiver] enjoys spending time with me. How true is this? • My [caregiver] does a lot to help me. How true is this? • My [caregiver] doesn’t seem to have enough time for me. How true is this? 52 • My [caregiver] doesn’t seem to know how I feel about things. How true is this? • My [caregiver] trusts me. How true is this? • My [caregiver] doesn’t let me make any of my own decisions. How true is this? • My [caregiver] is fair with me. How true is this? • My [caregiver] doesn’t think I can do very much. How true is this? • I don’t know what my [caregiver] wants. How true is this? Children’s responses to these items were used as an indicator of overall perceived social support from their relationship with the current caregiver. Since individual items were provided within the NSCAW II data set and a total composite was not created, factor analyses were conducted to combine items to represent the construct of interest. CFA was conducted with responses from the 688 participants within the sample that completed this measure. Responses for negatively phrased items were reverse coded (C2, C3, C6, C7, C9, C11, and C12). Strongly correlated items were identified and integrated within the CFA model (C3 with C2; C10 with C8; C12 with C7). These items assessed similar aspects of caregiver social support or opposite aspects (i.e., feel mad and feel unhappy) and therefore were expected to be correlated. See Table 6 for final factor loadings and standardized and unstandardized coefficients. All items loaded significantly on the hypothesized construct of perceived caregiver social support. Fit indices included RMSEA = 0.049, with 90% CI = [0.039, 0.059], and CFI/TLI fit indices close to 1, indicating the model fits the data reasonably well. Higher scores on this measure correspond to higher perceived social support from the caregiver. This measure provided a reliable indicator of children’s perceptions of social support provided by the child’s caregiver. 53 Table 6 Confirmatory Factor Analysis for One-Factor Model of Caregiver Social Support Standard Error Items Unstandardized Standardized (SE) C1: Feel good 1.000 0.000 0.787 C2: Feel mad 0.917 0.058 0.722 C3: Feel unhappy 0.988 0.041 0.777 C4: Enjoys spending time with me 1.032 0.045 0.812 C5: Does a lot to help me 1.117 0.065 0.879 C6: Doesn't have time for me 0.821 0.058 0.646 C7: Doesn't know how I feel 0.706 0.070 0.556 C8: Trusts me 0.725 0.072 0.570 C9: Doesn't let me make decisions 0.572 0.061 0.450 C10: Is fair with me 0.874 0.063 0.688 C11: Doesn't think I can do much 0.808 0.068 0.635 C12: I don't know what CG wants 0.700 0.078 0.551 Note: All factor loadings were significant (p<.001). Peer Social Support. Peer social support was assessed by another measure completed by the child at the initial wave of data collection. The Loneliness and Social Dissatisfaction Questionnaire for Young Children (Asher & Wheeler, 1985) assessed children’s feelings of loneliness and whether important relationship provisions were being met within the school setting. Reliability for this measure within the original NSCAW study was high (r=.89). Reliability within the current study is r=.90. Children responded “1=Never,” “2=Hardly ever,” “3=Sometimes,” “4=Most of the time,” or “5=Always” to the following 16 items: • It’s easy for me to make new friends at school. How often is this true about you? • I have nobody to talk to at school. How often is this true about you? • I’m good at working with other kids at school. How often is this true about you? • It’s hard for me to make friends at school. How often is this true about you? • I have lots of friends at school. How often is this true about you? • I feel alone at school. How often is this true about you? 54 • I can find a friend when I need one. How often is this true about you? • It’s hard to get kids in school to like me. How often is this true about you? • I don’t have anyone to play with at school. How often is this true about you? • I get along with other kids at school. How often is this true about you? • I feel left out of things at school. How often is this true about you? • There are no kids at school that I can go to when I need help. How often is this true about you? • I don’t get along with other kids at school. How often is this true about you? • I’m lonely at school. How often is this true about you? • I am well liked by the kids at school. How often is this true about you? • I don’t have any friends at school. How often is this true about you? Children’s responses to these items were used as an indicator of overall perceived social support from peer relationships at school. Since individual items were provided within the NSCAW II data set and a total composite was not created, factor analyses were conducted to combine items to represent the construct of interest. CFA was conducted with 696 participants within the sample that completed this measure. Negatively phrased items were reverse coded (P2, P4, P6, P8, P9, P11, P12, P13, P14, P16). See Table 7 for final factor loadings and standardized and unstandardized coefficients. All items loaded significantly on the hypothesized construct of perceived peer social support. Fit indices included RMSEA = 0.048, with 90% CI = [0.041, 0.055], and CFI/TLI fit indices close to 1, indicating the model fits the data reasonably well. This measure provided a reliable indicator of children’s perceptions of social support provided by peers in the school setting. Higher scores on this measure correspond to greater perceived support. 55 Table 7 Confirmatory Factor Analysis for One-Factor Model of Peer Social Support Unstandardized Standard Error (SE) Standardized Items 1.000 0.000 0.665 P1: Easy to make friends 0.949 0.086 0.631 P2: Nobody to talk to 0.941 0.064 0.626 P3: Good at working with other kids 1.027 0.072 0.683 P4: Hard to make new friends 1.171 0.073 0.779 P5: Have lots of friends 1.241 0.078 0.826 P6: Feel alone 1.034 0.069 0.688 P7: Can find a friend 1.119 0.056 0.744 P8: Hard to get kids to like me 1.120 0.087 0.745 P9: Don't have anyone to play with 0.969 0.074 0.644 P10: Get along with others 1.124 0.059 0.748 P11: Feel left out 0.883 0.073 0.587 P12: No kids to go to 0.992 0.072 0.660 P13: Don't get along with kids 1.210 0.069 0.805 P14: Lonely at school 1.035 0.057 0.688 P15: Well-liked by kids 1.124 0.080 0.747 P16: Don't have any friends Note: All factor loadings were significant (p<.001). Academic Achievement. Academic achievement was assessed through a standardized measure of achievement completed approximately 18 months after the initial wave of data collection. This measure provided an assessment of academic outcomes following the experience of maltreatment. Selected subtests of the Woodcock-Johnson III Tests of Achievement (WJ-III; Woodcock, McGrew, & Mather, 2004) were administered to measure children’s academic achievement in the areas of reading and mathematics. The subtests administered included letterword identification and applied problems. Letter-Word Identification assesses children’s ability to identify letters and words, without needing to understand the meaning of any word. Applied Problems assesses children’s ability to analyze and solve mathematics problems, recognizing necessary procedures and performing simple calculations. Standard scores were obtained for each of these subtests. These scores were used to estimate the latent construct of Academic 56 Achievement. The WJ-III Letter-Word Identification and WJ-III Applied Problems subtest scores were standardized and utilized as observed variables within analyses to provide a valid and reliable estimate of the latent construct of academic achievement. Academic Engagement. Academic engagement was assessed through a self-report questionnaire completed by the child approximately 18 months after the initial wave of data collection. This measure provided an assessment of academic outcomes following the experience of maltreatment. The School Engagement Questionnaire was part of the Drug Free Schools Outcome Study Questions (DFSCA; U.S. Department of Education). Within the NSCAW study, this measure had strong reliability (r = .84). Reliability within the current study was r=.74. Children rated their disposition toward learning and school responding “1=Never,” “2=Sometimes,” “3=Often,” or “4=Almost Always” to the following 11 items: • How often do you enjoy being in school? • How often do you hate being in school? • How often do you try to do your best work in school? • How often do you find the school work too hard to understand? • How often do you find your classes interesting? • How often do you fail to complete or turn in your assignments? • How often do you get sent to the office, or have to stay after school, because you misbehaved? • How often do you get along with your teachers? • How often do you listen carefully or pay attention in school? • How often do you get your homework done? 57 • How often do you get along with other students? Children’s responses to these items were used as an indicator of overall school engagement. Since individual items were provided within the NSCAW II data set and a total composite was not created, factor analyses were conducted to combine items to represent the construct of interest. CFA was conducted with 507 participants that completed the questionnaire at the second wave of data collection. Negatively phrased items were reverse coded (SE2, SE4, SE6, and SE7). Strongly correlated items were identified and integrated within the CFA model (SE2 with SE1; SE9 with SE3). These items assessed similar or opposite aspects of school engagement (i.e., Do you enjoy being in school? and Do you hate being in school?) and therefore are expected to be correlated. See Table 8 for final factor loadings and standardized and unstandardized coefficients. All items loaded significantly on the hypothesized construct of perceived peer social support. Fit indices included RMSEA = 0.049, with 90% CI = [0.036, 0.063], and CFI/TLI fit indices close to 1, indicating the model fits the data reasonably well. This measure provided a reliable indicator of children’s perceived school engagement. Higher scores on this measure correspond to greater school engagement. 58 Table 8 Confirmatory Factor Analysis for One-Factor Model of Academic Engagement Items Unstandardized Standard Error (SE) Standardized SE1: Enjoy being in school 1.000 0.000 0.616 SE2: Hate being in school 0.824 0.122 0.508 SE3: Try to do best work 1.112 0.119 0.685 SE4: Find school work hard 0.356 0.140 0.220 SE5: Find classes interesting 1.048 0.126 0.645 SE6: Fail to complete assignments 0.687 0.101 0.423 SE7: Sent to the office 0.864 0.118 0.532 SE8: Get along with teachers 0.960 0.115 0.591 SE9: Listen carefully 1.027 0.136 0.633 SE10: Get homework done 0.900 0.126 0.555 SE11: Get along with other students 0.688 0.106 0.424 Note: All factor loadings were significant (p<.01) Internalizing Behaviors. Social-emotional well-being was assessed using the Child Behavior Checklist parent questionnaire (CBCL; Achenbach, 1991) and Youth Self Report child questionnaire (YSR; Achenbach, 1991) completed approximately 18 months after the initial wave of data collection. This data provided an assessment of behavioral outcomes following the experience of maltreatment. The CBCL and YSR are commonly used standardized assessments of children’s behavior within several domains. The internalizing behaviors subscale of the CBCL and YSR includes items assessing behaviors indicating withdrawal, somatic problems, anxiety/depression, social problems, and thought problems. It assesses indicators of behavior problems observed in the previous two months. The CBCL Internalizing subscale had a reliability coefficient of r=.90 and the YSR Internalizing subscale had a reliability coefficient of r=.90 within the original NSCAW study. Using both caregiver and child measures will provide a more reliable indicator of socialemotional well-being than including only one of these measures. Children completed the YSR and the caregiver with whom children were living at the time of data collection completed the 59 CBCL. Children and caregivers rated a variety of aspects of the child’s behavior during the past two months on 120 items by responding “0=Not True,” “1=Sometimes True,” and “2=Very True.” Scores on the CBCL and YSR are normed providing a measure of behavior problems compared to same-age peers. The CBCL Internalizing subscale score and the YSR Internalizing subscale score were standardized and utilized as observed variables within analyses to provide a valid and reliable estimate the latent construct of internalizing behaviors. Externalizing Behaviors. The CBCL and YSR were also used to assess externalizing behaviors. The externalizing behaviors subscale of the CBCL and YSR include items assessing attention problems, delinquent behavior, and aggressive behaviors. It assesses indicators of behavior problems observed in the previous two months. The CBCL Externalizing subscale had a reliability coefficient of r=.92 and the YSR Externalizing subscale had a reliability coefficient of r=.90 within the original NSCAW study. Similar to the Internalizing Behaviors variable, both caregiver and child measures were used to provide a more reliable indicator of social-emotional well-being than using only one indicator. Children and caregivers rated a variety of aspects of the child’s behavior during the past two months on 120 items by responding “0=Not True,” “1=Sometimes True,” and “2=Very True.” Scores on the CBCL and YSR are normed providing a measure of behavior problems compared to same-age peers. The CBCL Externalizing subscale score and the YSR Externalizing subscale score were standardized and utilized as observed variables within analyses to provide a valid and reliable estimate the latent construct of externalizing behaviors. 60 CHAPTER 4 RESULTS Data were prepared and analyzed on a password protected computer in a locked research office. The study data set was created using Statistical Package for Social Sciences (SPSS) version 22 (IBM Corp, 2013). Variables of interest were selected from the NSCAW II data set. This included variables required for weighting, sampling criteria, demographic characteristics, and all model variables. A sampling variable was created to indicate inclusion in the sample for the current study. Negatively phrased items were reverse coded. Reduced categories were created for type of maltreatment (abuse or neglect) and severity of maltreatment (none, mild, moderate to severe). Continuous variables (achievement, internalizing behaviors, externalizing behaviors) were standardized. Descriptive analyses were conducted using complex sample weights and compared to results without sample weights. Final analyses were conducted using sample weights. Preliminary Analyses Preliminary analyses were conducted to ensure that statistical assumptions were met. Correlation coefficients were calculated to determine whether there was an observed correlation between independent and dependent variables. Correlation matrices for observed variables and latent variables are presented in Table 9 and 10, respectively. Statistically significant correlations were observed between Trauma, Caregiver Support, Peer Support, Engagement, Internalizing Behaviors, and Externalizing Behaviors. This suggests there is a significant relation between these variables that may be investigated further. Achievement was not significantly related to Trauma, Caregiver Support, Peer Support, or the other outcome measures. 61 This study analyzed outcome variables measured at Wave 2 of the NSCAW II study, 18 months after the start of the maltreatment investigation. As these measures were also collected at Wave 1, consideration was given to utilizing Wave 1 measures to control for functioning at Wave 2. This would provide an indication of the potential influence of trauma symptoms on outcome measures beyond adolescents' prior academic and social-emotional functioning. During preliminary analyses, the regression of trauma on Wave 2 outcome measures, while controlling for Wave 1 measures, showed that Wave 1 and Wave 2 measures are highly correlated with each other. This linear dependence caused estimation issues which made it impossible to control for Wave 1 measures in further analyses. Table 9 Estimated Correlation Matrix for Observed Variables Variables Type Severity-2 Severity-3 Substantiation Type Severity-2 0.039 Severity-3 -0.069 -0.839*** Substantiation 0.04 0.202*** 0.682*** Age 0.006 0.045 0.051 0.095* Gender -0.076* -0.024 0.058 0.062 * p < 0.05 ** p < 0.01 *** p < 0.000 Age 0.014 Table 10 Estimated Correlation Matrix for Latent Variables Variables Trauma Trauma Caregiver -0.385*** Peer -0.366*** Achievement -0.082 Engagement -0.189* Internalizing 0.687*** Externalizing 0.364*** * p < 0.05 ** p < 0.01 Achievement Caregiver Peer 0.233*** 0.077 0.198** -0.344** -0.292** *** p < 0.000 0.107 0.18* 0.107 -0.602*** -0.144 -0.175* -0.105 62 Engagement -0.452*** -0.698*** Internalizing 0.617*** Descriptive Statistics Cross tabulation analyses were conducted on the demographic and maltreatment characteristic variables to better understand the population sampled. Gender did not appear to be significantly related to maltreatment characteristics. Type of maltreatment as a dichotomized variable (i.e., abuse or neglect) did not differ based on gender with approximately half of investigations assessing each type of maltreatment for both males (abuse: 52%, neglect: 48%) and females (abuse: 57%, neglect: 43%). However, gender differences may exist at the more specific level (e.g., sexual abuse, physical abuse, etc.). Additionally, males and females tended to have similar caseworker ratings of the level of perceived harm to the child. Among males, the majority of cases were rated as experiencing little to no harm (none: 50%, mild: 32%, moderate/severe: 18%). Among females, the majority of cases were also rated as experiencing little to no harm (none: 49%, mild: 30%, moderate/severe 21%). The determination of substantiation did not appear to be related to gender either. Of cases involving males, an estimated 76% were unsubstantiated and 24% were substantiated. Similarly, of cases involving females, an estimated 72% were unsubstantiated and 28% were substantiated. The distribution of maltreatment characteristics also appeared to be distributed similarly across ages. Approximately half of the population were the subject of a child welfare investigation related to abuse and approximately half of the population were the subject of an investigation related to neglect across most ages, with the exception of children in the age groups 14-, 16-, and 17-years-old. A greater percentage of cases involved suspected abuse compared to neglect among 14-year-olds (abuse: 74%, neglect: 26%) and 17-year-olds (abuse: 71%, neglect: 29%). Among 16-year-olds, a greater percentage of cases involved suspected neglect compared to abuse (abuse: 34%, neglect: 66%). Regarding substantiation, the majority of cases across each 63 age group were found unsubstantiated (49%-78%) compared to substantiated (22%-51%). The distribution of level of severity was also similar across each age group with the majority of cases rated by the child’s caseworker as none (37%-55%), followed by moderate (26%-38%), and then moderate to severe (16%-29%). Overall, age and gender do not appear to be related to the type of maltreatment investigated, determination of substantiation, or level of harm as perceived by the caseworker. While demographic variables do not appear to be related to maltreatment characteristics, different patterns were observed between some maltreatment characteristics variables. Type of maltreatment did not appear to be related to determination of substantiation. Among cases primarily investigated due to abuse, an estimated 75% were unsubstantiated and 25% were substantiated. Among cases primarily investigated due to neglect, an estimated 72% were unsubstantiated and 28% were substantiated. Similarly, the perceived level of severity of maltreatment did not appear to be related to whether a case was investigated primarily due to abuse (none: 49%, mild: 30%, moderate/severe: 21%) or neglect (none: 50%, mild: 32%, moderate/severe: 18%). Substantiation did appear to predict the level of harm perceived by the child’s caseworker. The majority of unsubstantiated cases were reported by caseworkers as resulting in low levels of harm to the adolescent (none: 63%, mild: 27%, moderate/severe: 10%). Conversely, the majority of substantiated cases were reported to result in high levels of harm to the adolescent (none: 10%, mild: 39%, moderate/severe: 51%). This suggests that substantiated cases of maltreatment were more likely to be rated as causing significant harm to the child compared to unsubstantiated cases. Descriptive statistics were computed for the outcome measures prior to standardization. Descriptive statistics for predictor and outcome variables are presented in Table 11 (N=697). On 64 the academic achievement measures, obtained scores were presented as Standard Scores, which have a mean of 100 and standard deviation of 15 within the normal population. Scores between 85 and 115 are typically considered in the average range. Within the current sample, academic achievement scores were generally in the average range. The average reading achievement standard score (Mean = 91.85, SD = 386.3) was slightly greater than the average mathematics achievement standard score (Mean = 87.78, SD = 231.4). Observed scores ranged from 6 to 137 for reading and 2 to 125 for mathematics. On the social-emotional well-being measures, obtained scores were presented as T Scores, which have a mean of 50 and standard deviation of 10. Scores between 63 and 64 are considered borderline clinical and scores equal to or greater than 65 are considered clinically significant. Within the current sample, adolescents’ scores on the Youth Self Report Internalizing Behaviors subscale ranged from 26 to 81 with a mean score of 48.36. Caregivers’ ratings on the Child Behavior Checklist Internalizing Behaviors subscale ranged from 33 to 90 with a mean score of 53.16. Adolescents’ scores on the Youth Self Report Externalizing Behaviors subscale ranged from 25 to 88 with a mean score of 52.31. Caregivers’ ratings on the Child Behavior Checklist Externalizing Behaviors subscale ranged from 34 to 91 with a mean score of 55.04. This suggests that the mean YSR and CBCL scores were slightly greater than the average score within the population (T=50). Many children exhibited fewer behavior problems than typical children, but many others exhibited clinically significant behavior problems. 65 Table 11 Descriptive Statistics for Sample Variable Trauma Symptoms T1 T2 T3 T4 T5 T6 T7 T8 T9 T10 Caregiver Social Support C1-Child feels good with CG C2-Child feels mad with CG C3-Child feels unhappy with CG C4-CG enjoys time with child C5-CG does a lot to help child C6-CG doesn't have time for child C7-CG doesn't know how child feels C8-CG trust child C9-CG doesn't let child make decisions C10-CG is fair with child C11-CG thinks child can't do much C12-Child doesn't know what CG wants Peer Social Support P1-Easy to make new friends P2-Nobody to talk to Sample N Mean Standard Deviation (SD) Range Weighted Mean Standard Error (SE) 696 695 695 686 695 694 695 695 694 695 1.85 1.79 2.20 1.98 2.00 1.52 1.19 1.74 2.00 2.55 0.838 0.901 0.930 0.963 0.926 0.866 0.537 0.942 0.965 1.135 1-4 1-4 1-4 1-4 1-4 1-4 1-4 1-4 1-4 1-4 1.94 1.81 2.18 1.95 1.98 1.54 1.22 1.71 1.96 2.40 0.047 0.059 0.063 0.054 0.059 0.060 0.044 0.057 0.058 0.076 687 3.44 0.872 1-4 3.43 0.050 688 3.28 0.925 1-4 3.43 0.058 689 3.41 0.891 1-4 3.38 0.062 688 3.53 0.823 1-4 3.48 0.042 688 3.60 0.803 1-4 3.56 0.051 688 3.24 0.967 1-4 3.18 0.069 680 686 2.71 3.28 1.153 0.930 1-4 1-4 2.68 3.27 0.076 0.049 683 684 3.02 3.39 1.045 0.901 1-4 1-4 2.96 3.34 0.075 0.058 685 3.32 1.006 1-4 3.27 0.059 673 3.14 1.089 1-4 3.16 0.060 696 696 3.86 4.34 1.111 1.080 1-5 1-5 3.81 4.35 0.084 0.068 66 Table 11 (cont’d) P3-Good working with other kids P4-Hard to make friends P5-Have lots of friends P6-Feel alone P7-Can find a friend when needed P8-Hard to get kids to like me P9-Don't have anyone to play with P10-Get along with other kids P11-Feel left out P12-No kids to go to when need P13-Don't get along with other kids P14-Feel lonely at school P15-Well liked by kids P16-Don't have any friends Academic Achievement Letter-Word Identification SS Applied Problems SS Academic Engagement 1-Enjoy being in school 2-Hate being in school 3-Try to do best work 4-Find work too hard 5-Find class interesting 6-Fail to complete assignments 7-Sent to office 8-Get along with teachers 9-Listen carefully 10-Get homework done 11-Get along with other students 696 696 694 696 3.82 4.08 4.19 4.37 1.062 1.185 1.126 1.043 1-5 1-5 1-5 1-5 3.79 4.02 4.22 4.35 0.070 0.082 0.073 0.069 695 4.12 1.163 1-5 4.04 0.074 695 4.07 1.190 1-5 3.96 0.076 695 4.37 1.120 1-5 4.33 0.062 695 696 4.08 4.18 1.007 1.085 1-5 1-5 4.09 4.13 0.065 0.083 695 4.13 1.258 1-5 4.07 0.074 694 694 694 3.91 4.44 3.94 1.178 0.978 1.075 1-5 1-5 1-5 3.80 4.37 3.85 0.080 0.081 0.075 692 4.47 1.080 1-5 4.40 0.063 556 564 92.79 87.52 17.881 13.889 6-137 2-125 91.85 87.78 1.223 1.026 507 507 507 507 506 2.75 2.90 3.41 2.82 2.68 .926 .832 .748 .684 .877 1-4 1-4 1-4 1-4 1-4 2.70 2.85 3.42 2.90 2.67 0.065 0.058 0.054 0.049 0.069 506 507 506 506 501 2.96 3.56 3.23 3.14 3.09 .803 .707 .868 .762 .924 1-4 1-4 1-4 1-4 1-4 2.95 3.62 3.21 3.21 3.07 0.056 0.044 0.084 0.062 0.081 506 3.21 .839 1-4 3.24 0.058 67 Table 11 (cont’d) Internalizing Behaviors Youth Self Report (Int) Child Behavior Checklist (Int) Externalizing Behaviors Youth Self Report (Ext) Child Behavior Checklist (Ext) 530 48.36 11.458 26-81 48.37 0.789 551 54.20 10.991 33-90 53.22 0.727 530 53.15 11.62 25-88 52.35 1.042 551 56.44 11.46 34-91 55.14 0.801 Structural Model Research Question 1. Does social support serve as a protective factor, moderating the relation between trauma and academic and social-emotional well-being? The first goal of this study was to determine whether social support moderated the relation between trauma and academic and social-emotional well-being. Structural equation models were assessed for caregiver support and peer support separately (Appendix A). Each proposed model hypothesized that the latent variables of Trauma, social support, and the moderator variable (trauma*social support) would significantly predict the outcome variables of Achievement, Engagement, Internalizing Behaviors, and Externalizing Behaviors. Moderator variables were defined as an interaction term of the latent variable for Trauma and the latent variable for each type of support. The proposed models also hypothesized that the observed variables of Type of Maltreatment, Severity of Maltreatment, Substantiation, Age, and Gender would significantly predict Trauma and Caregiver Support. Regression coefficients and model fit indices of the SEM were used to evaluate hypotheses. Caregiver Support. Contrary to the proposed hypothesis, SEM analyses did not indicate that caregiver social support moderates the relation between trauma and academic and socialemotional well-being in the current sample. Factor loadings and significance levels for the model assessing caregiver social support as a moderator are presented in Table 12. The interaction term 68 Trauma*Care was not significantly related to achievement (b=-0.09, p = 0.14), engagement (b=0.01, p = 0.79), internalizing behaviors (b=0.04, p = 0.11), or externalizing behaviors (b=0.04, p = 0.051). The estimate for the interaction term and externalizing behaviors, however, was at the borderline of being statistically significant. Table 12 Unstandardized and Standardized Factor Loadings and Significance Levels for Model Assessing Caregiver Social Support Parameter Estimate Unstandardized (SE) Standardized p Trauma → Achievement -0.22 (0.17) -0.38 0.14 Trauma → Engagement -0.06 (0.14) -0.07 0.65 Trauma → Internalizing 0.45 (0.10) 0.83 <0.000 Trauma → Externalizing 0.27 (0.10) 0.44 <0.01 Caregiver → Achievement 0.05 (0.07) 0.14 0.43 Caregiver → Engagement 0.13 (0.08) 0.20 <0.05 Caregiver → Internalizing -0.06 (0.07) -0.16 0.34 Caregiver → Externalizing -0.09 (0.07) -0.20 0.20 Trauma*Caregiver → Achievement -0.09 (0.06) -0.31 0.06 Trauma*Caregiver → Engagement 0.01 (0.04) 0.02 0.79 Trauma*Caregiver → Internalizing 0.04 (0.02) 0.16 0.10 Trauma*Caregiver → Externalizing 0.04 (0.02) 0.13 0.052 Peer Support. Contrary to the proposed hypothesis, SEM analyses did not indicate that peer social support moderated the relation between trauma and academic and social-emotional well-being in the current sample. Factor loadings and significance levels for the model assessing peer social support as a moderator are presented in Table 13. The interaction term Trauma*Peer was not significantly related to achievement (b=-0.01, p = 0.50), engagement (b=0.01, p = 0.81), internalizing behaviors (b=0.03, p = 0.17), or externalizing behaviors (b=0.006, p = 0.83). As the interaction was not significant, peer social support does not appear to moderate the relation between trauma and outcomes. 69 Table 13 Unstandardized and Standardized Factor Loadings and Significance Levels for Model Assessing Peer Social Support Parameter Estimate Unstandardized (SE) Standardized p Trauma → Achievement -0.01 (0.06) -0.02 0.88 Trauma → Engagement -0.10 (0.01) -0.11 0.31 Trauma → Internalizing 0.27 (0.06) 0.54 <0.000 Trauma → Externalizing 0.19 (0.08) 0.32 <0.01 Peer → Achievement 0.05 (0.05) 0.12 0.19 Peer → Engagement 0.10 (0.09) 0.12 0.24 Peer → Internalizing -0.17 (0.04) -0.40 <0.000 Peer → Externalizing -0.03 (0.05) -0.06 0.59 Trauma*Peer → Achievement -0.02 (0.03) -0.06 0.46 Trauma*Peer → Engagement 0.01 (0.04) 0.02 0.82 Trauma*Peer → Internalizing 0.03 (0.02) 0.10 0.14 Trauma*Peer → Externalizing 0.01 (0.03) 0.02 0.83 Final Model. Although moderation relations were not observed for either caregiver support or peer support, direct relations were identified between predictors and outcomes. A final model including trauma and both caregiver and peer social support was assessed. Factor loadings and significance levels for this final model including predictors of trauma, caregiver support, and peer support are presented in Table 14. Trauma was significantly related to Internalizing Behaviors (b=0.59, p < 0.000) and Externalizing Behaviors (b=0.37, p<0.000). More significant trauma symptoms were related to poorer social-emotional well-being. A direct relation was not observed between Trauma and academic outcome variables. Caregiver support was significantly related to Engagement in academic activities (b=0.11, p<0.05). Greater perceived caregiver social support was related to greater engagement in academic activities. Caregiver support was also significantly related to Externalizing Behaviors (b=-0.19, p<0.05). Greater perceived caregiver social support was related to fewer behavior problems. The relation between caregiver support and academic achievement (b=0.04, p=0.54) or internalizing behaviors (b=-0.05, p = 0.53) were not statistically significant. Caregiver social support predicted academic engagement 70 and externalizing behaviors, but does not appear to be related to other outcome variables assessed. Peer support was significantly related to Internalizing Behaviors (b=-0.41, p<0.000). Greater perceived social support from peers was related to fewer internalizing behavior problems. The relation between peer support and academic achievement (b=0.09, p=0.21), academic engagement (b=0.10, p=0.13), and externalizing behaviors (b=-0.04, p=0.73) were not statistically significant. Peer social support predicts internalizing behaviors, but does not appear to be related to other outcome variables assessed. Table 14 Unstandardized and Standardized Factor Loadings and Significance Levels for Final Model Parameter Estimate Unstandardized (SE) Standardized p Trauma → Achievement -0.04 (0.10) -0.03 0.70 Trauma → Engagement -0.09 (0.80) -0.10 0.26 Trauma → Internalizing 0.59 (0.11) 0.52 <0.000 Trauma → Externalizing 0.37 (0.13) 0.29 <0.001 Caregiver → Achievement 0.04 (0.07) 0.05 0.54 Caregiver → Engagement 0.11 (0.05) 0.14 <0.05 Caregiver → Internalizing -0.05 (0.08) -0.05 0.53 Caregiver → Externalizing -0.19 (0.09) -0.18 <0.05 Peer → Achievement 0.09 (0.07) 0.08 0.21 Peer → Engagement 0.10 (0.07) 0.11 0.13 Peer → Internalizing -0.41 (0.08) -0.40 <0.000 Peer → Externalizing -0.04 (0.10) -0.03 0.73 Note: RMSEA = 0.016, with lower bound of the 90% CI = 0.013; CFI = 0.930; TLI = 0.927 Research Question 2. Is caregiver social support or peer social support a more important moderator between trauma and outcomes within the overall conceptual model? The second goal of this study was to determine which source of social support (i.e., caregivers or peers) had a greater relative role on the relation between trauma and academic and social-emotional well-being. As previously discussed, neither caregiver social support nor peer social support was a significant moderator within the conceptual model. Rather, caregiver social support and peer social support were statistically significant predictors of outcomes through a 71 direct relation. Several indicators were used to assess the relative importance of each of these predictors using three conceptual models: (1) caregiver social support and peer social support predicting outcomes, (2) caregiver social support predicting outcomes, and (3) peer social support predicting outcomes. First, model fit indices were compared between the three conceptual models (see Table 15). The RMSEA index was less than 0.05 for each model, indicating the models fit the data well. The CFI and TLI indicators were greater than 0.90 for each model, indicating the models fit the data well. Differences in model fit indices were observed between the three models, but these differences were marginal. On the RMSEA indicator, the model including both caregiver social support and peer social support fit the data most closely (RMSEA=0.016), followed by the model with only caregiver social support (RMSEA=0.019) and the model with only peer social support (RMSEA=0.021). On the CFI and TLI indicators, the model including only caregiver social support fit the data most closely (CFI=0.933, TLI=0.928), followed by the model with both caregiver social support and peer social support (CFI=0.930, TLI=0.927) and the model with only peer social support (CFI=0.926, TLI=0.921). Comparing model fit indices suggests that a model including both caregiver social support and peer social support may provide the most accurate representation of the data. Table 15 Model Fit Indices Comparing the Relative Impact of Caregiver Support and Peer Support Model RMSEA (CI) CFI TLI Caregiver Social Support 0.019 (0.014-0.023) 0.933 0.928 Peer Social Support 0.021 (0.017-0.024) 0.926 0.921 Caregiver and Peer Social Support 0.016 (0.013-0.019) 0.930 0.927 Second, chi-square difference testing was conducted to compare the model including both caregiver social support and peer social support with the model including only caregiver social support (see Table 16). This analysis allows for testing of the statistical significance of 72 differences between model fit indices. The full model hypothesized that trauma, caregiver social support, and peer social support predicted outcome variables. This full model was compared to a nested model in which the path between peer social support and outcome variables was constrained to zero. The difference test compared the model fit of the nested model to the full model. This test resulted in a Chi-Square value of 14.48 (p < 0.01), indicating that the model fit worsened when peer social support was removed from the model. A model including both caregiver social support and peer social support predicting outcome measures better fit the data, indicating that peer social support is an important factor within the hypothesized model. Although caregiver social support and peer social support were not significant moderators within the conceptual model, they did significantly predict some outcome measures. Caregiver social support significantly predicted greater engagement and fewer externalizing behaviors, while peer social support significantly predicted fewer internalizing behaviors. Results indicated a differential relation between the type of social support and the outcome variables assessed. Therefore, neither form of support can be considered more important than the other. Difference testing, however, indicated that a full model containing both caregiver social support and peer social support better fit the data compared to a nested model containing only caregiver social support. Therefore, both forms of support are necessary to best understand the complex relation between trauma, social support, and academic and social-emotional well-being. Table 16 Results of Chi-Square Test for Difference Testing Model Chi-Square df p Full Model: Trauma Caregiver Peer 1663.18 1408 <0.000 Nested Model: Trauma Caregiver 1677.77 1412 <0.000 Difference Testing 14.48 4 <0.01 Note: Significant p value of Difference Testing indicates that the fit of the Nested Model is significantly worse than Full Model; therefore, the Full Model is retained. 73 Research Question 3. Do children’s perceived trauma symptoms vary based on type of maltreatment, severity of maltreatment, substantiation, age, or gender? The third goal of this study was to identify predictors of trauma symptoms. Based on previous research, it was hypothesized that type of maltreatment, severity of maltreatment, substantiation, age, and gender may predict the level of perceived trauma symptoms. To evaluate this hypothesis, these demographic and maltreatment history variables were included in the conceptual model as manifest variables predicting trauma symptoms. Type of maltreatment, substantiation, and gender were each dichotomous variables. Severity of maltreatment was assessed as two dummy coded variables assessing “mild” and “moderate to severe” levels of harm. Age was assessed as a continuous variable. Factor loadings and significance levels for hypothesized predictors of trauma symptoms are presented in Table 17. Type. Trauma symptoms did not vary based on type of maltreatment. The manifest variable for type of maltreatment did not significantly predict trauma symptoms (p = 0.09). When assessing type of maltreatment as a dichotomous variable with the categories of “abuse” and “neglect,” no significant differences were observed on the level of trauma symptoms reported. Severity. Trauma symptoms did not vary based on the level of severity. The dummy variables representing “mild” level of harm (p = 0.25) and “moderate to severe” level of harm (p = 0.82) did not significantly predict trauma symptoms. When assessing severity as three categories of “none,” “mild,” and “moderate to severe,” no significant difference was observed between the reported level of harm and the level of trauma symptoms reported. Substantiation. Trauma symptoms did not vary based on determination of substantiation. The manifest variable for substantiation did not significantly predict trauma symptoms (p = 74 0.95). The determination of whether there was substantial evidence to conclude that the maltreatment likely occurred was not related to children’s’ reported trauma symptoms. Age. Trauma symptoms did not vary based on participants’ age. The continuous variable for age did not significantly predict trauma symptoms (p = 0.88). Contrary to the proposed hypothesis, children’s age was not related to the level of trauma symptoms exhibited. Gender. Trauma symptoms did not vary based on gender. The dichotomous variable for gender did not significantly predict trauma symptoms (p = 0.24). While it was hypothesized that females would exhibit greater trauma symptoms compared to males, gender differences were not observed. Table 17 Predictors of Trauma Symptoms Parameter Estimate Type of Maltreatment Severity (Mild) Severity (Moderate to Severe) Substantiation Age Gender Unstandardized (SE) -0.16 (0.09) -0.11 (0.09) -0.03 (0.12) 0.01 (0.10) 0.00 (0.03) 0.14 (0.12) Standardized -0.12 -0.07 -0.02 0.00 0.01 0.10 p 0.09 0.25 0.82 0.95 0.88 0.24 Research Question 4. Do children’s perceived social support vary based on type of maltreatment, severity of maltreatment, substantiation, age, or gender? The fourth goal of this study was to identify differences in perceived caregiver and peer social support based on demographic and maltreatment history variables. Previous research among normative populations suggests that age and gender are related to perceived social support. Existing literature has not examined potential differences in perceived social support based on maltreatment history. However, maltreatment history including the type of maltreatment experienced, the severity of that maltreatment, and the determination of substantiation may result in significantly different experiences with caregivers and peers. To 75 evaluate this hypothesis, these demographic and maltreatment history variables were included in the conceptual model as manifest variables predicting perceived caregiver social support and predicting perceived peer social support. Factor loadings and significance levels for hypothesized predictors of social support are presented in Table 18. Type. It was hypothesized that children would report greater caregiver support if they were the subject of an investigation due to neglect compared to an investigation due to abuse. This hypothesis was supported by the analyses. Type of maltreatment significantly predicted perceived caregiver social support (b = 0.22, p < 0.01). Children with investigations due to neglect were more likely to report greater perceived caregiver support compared to children with investigations due to abuse. Conversely, it was hypothesized that children would report greater peer support if they were the subject of an investigation due to abuse compared to an investigation due to neglect. This hypothesis was not supported by the analyses. Type of maltreatment did not significantly predict peer social support (p = 0.18). There were no differences on the level of perceived peer social support between children that primarily experienced abuse and those that primarily experienced neglect. Severity. For both caregiver social support and peer social support, it was predicted that children with moderate to severe harm would perceive less social support compared to children with mild or no harm as reported by caseworkers. This hypothesis was supported with caregiver social support, but not peer social support. Children with reports of mild harm perceived significantly less support from caregivers compared to those with reports of no harm (b = -0.28, p <0.05). Similarly, children with reports of moderate to severe harm perceived significantly less support from caregivers compared to those with reports of no harm (b = -0.25, p <0.05). Severity of maltreatment significantly predicted the level of perceived social support from caregivers. 76 This pattern was not observed when examining perceived peer social support. Severity of maltreatment did not significantly predict the level of social support perceived from peer relationships (Mild: p = 0.14, Moderate to Severe: p = 0.95). Substantiation. It was hypothesized that children with substantiated investigations of maltreatment would perceive less caregiver and peer social support compared to children with unsubstantiated investigations of maltreatment. Contrary to the proposed hypothesis, substantiation did not predict caregiver social support (p=0.42) or peer social support (p=0.59). This result suggests that, on average, there were no differences in perceived level of social support between children whose cases of alleged maltreatment investigations were substantiated and those whose cases were not. Age. It was hypothesized that younger children would report greater social support from caregivers while older children would report greater social support from peers. This hypothesis was supported by the data; age significantly predicted both caregiver social support and peer social support in the expected directions. Older children reported less social support from caregivers compared to younger children (b=-0.07, p < 0.01). Older children reported greater social support from peers compared to younger children (b=0.05, p < 0.05). This data suggests that children rely on different sources of social support at different developmental stages. Gender. It was hypothesized that males would report greater social support from caregivers while females would report greater social support from peers. Based on previous research, females tend to have more social relationships with peers which may lead to greater perceived emotional support. Contrary to the proposed hypothesis, gender was not significantly related to caregiver social support (p=0.09) or peer social support (p=0.36). The level of social support did not vary based on this characteristic. 77 Table 18 Predictors of Social Support Parameter Estimate Caregiver Social Support Type of Maltreatment Severity (Mild) Severity (Moderate to Severe) Substantiation Age Gender Peer Social Support Type of Maltreatment Severity (Mild) Severity (Moderate to Severe) Substantiation Age Gender Unstandardized (SE) Standardized p 0.29 (0.11) -0.28 (0.11) -0.25 (0.14) 0.09 (0.11) -0.07 (0.03) -0.14 (0.09) 0.19 -0.16 -0.13 0.05 -0.16 -0.09 <0.01 <0.05 0.06 0.42 <0.01 0.09 0.10 (0.07) -0.14 (0.10) -0.01 (0.12) -0.06 (0.11) 0.05 (0.03) 0.09 (0.09) 0.07 -0.09 -0.01 -0.04 0.13 0.06 0.18 0.14 0.95 0.59 <0.05 0.36 78 CHAPTER 5 DISCUSSION The goal of this study was to examine the role of social support among maltreated youth within the context of resilience. The study aimed to determine whether social support moderated the relation between trauma and outcomes, identify differences between the role of social support from caregivers and the role of social support from peers, and understand how demographic variables and characteristics of maltreatment may predict perceived trauma symptoms and social support. These findings were interpreted within the framework of resilience to better understand how children develop positive outcomes in the presence of adversity. Resilience To understand the role of social support among maltreated youth, structural equation modeling was used to assess whether social support served as a moderator within the conceptual model. Resilience is a process in which individuals exposed to significant adversity are able to maintain positive adjustment or outcomes (Masten, 2001; 2011). Among populations of maltreated youth, this has been conceptualized as achieving a normal range of competence across multiple domains despite exposure to abuse or neglect (Walsh et al., 2010). Resilience has been primarily conceptualized as the interaction between competence and stress (Garmezy, Masten, & Tellegen, 1984). The impact of adversity changes as a result of a protective attribute. These positive attributes are generally referred to as protective factors (Masten, 2001; 2011). While the process of resilience is conceptualized as an interaction, the majority of studies assessing resilience have measured main effects of protective factors; few studies have utilized moderation analyses (Wilson & Scarpa, 2014). A main effect indicates that an independent variable is related to a dependent variable. In other words, it can show that a protective attribute is related to 79 positive outcomes. However, it cannot demonstrate that the impact of adversity is reduced as a result of the protective attribute. To assess whether the negative impact of adversity is reduced as a result of protective factors, the interaction of these variables must be assessed. Therefore, moderation analyses were used to determine whether the impact of trauma on outcomes decreases as a function of social support among maltreated youth. The statistical significance of the interaction terms Trauma*Caregiver and Trauma*Peer were evaluated in addition to the main effects of Caregiver and Peer social support. These analyses provided an indication of whether the relation between trauma and academic and social-emotional well-being depends on children's perceived emotional social support. Social support was not found to moderate the relation between trauma and academic and social-emotional well-being. Neither caregiver social support nor peer social support were statistically significant moderators within the conceptual model (see Figures 2 and 3). These variables were, however, direct predictors of positive outcomes. While this finding does not support an interaction model of resilience, it does support a promotive model of competence in which an attribute has an additive effect on outcomes in the presence of adversity (Garmezy et al., 1984). Children with the attribute of social support were more likely to maintain positive adjustment (academic and social-emotional well-being) following adversity (trauma resulting from maltreatment). 80 Figure 2 Standardized Factor Loadings of Model Assessing Caregiver Social Support Figure 3 Standardized Factor Loadings of Model Assessing Peer Social Support 81 Social support has been described as a protective factor within many studies assessing trauma and maltreatment. This literature conceptualizes and measures resilience as either an outcome or as a process. Studies that conceptualize resilience as an outcome generally assess protective factors through main effects. Social support from family and friends has been shown to directly predict positive outcomes among individuals with a history of maltreatment (e.g., Afifi & MacMillan, 2011; McLewen & Muller, 2006). Results of the current study are consistent with these findings. Other studies conceptualize resilience as a process and assess protective factors through mediation or moderation analyses. These studies have found that social support changes the relation between maltreatment and outcomes (e.g., Pepin & Banyard, 2005; Vranceanu et al., 2007). The current study conceptualized resilience as a process, describing how contextual factors interact with adverse experiences to promote positive adaptation. This conceptualization, however, was not supported by the study findings. Social support may promote positive outcomes, but it appears do so as an additive support rather than interacting with risk factors. Alternatively, interaction effects may not have been observed due to the time of measurement of trauma symptoms, social support, and outcome variables. As previously discussed, most studies of social support and resilience utilize retrospective self-report methods to assess childhood trauma history and adult outcomes. These studies are conducted years after the occurrence of maltreatment. Resilience develops over time and may be observed at different points following adversity (Rutter, 2013). Prior research utilizing retrospective measures have demonstrated that social support serves as a protective factor that directly (e.g., McLewen & Muller, 2006) and indirectly (e.g., Muller et al., 2008) promotes positive outcomes. The current study found that social support directly predicted outcomes 18 months after a maltreatment 82 investigation, but that social support did not indirectly relate to outcomes as an interaction with trauma symptoms during this time frame. A greater amount of time (i.e., years to decades) may be required for social support to facilitate resilience and moderate the impact of maltreatment. This could explain why retrospective studies have identified moderation effects and the current study did not. Conversely, studies that assess social support through retrospective studies may lack validity and project resilience through participants' perceptions of past trauma and current functioning. A longitudinal study that assesses these variables from the time of maltreatment through adulthood may be required to fully understand the role of social support within the framework of resilience. Although social support did not moderate the relation between trauma and outcomes, the observed direct relation is an important finding. Caregiver support was observed to predict positive academic engagement and fewer externalizing behavior problems. Peer social support was observed to predict fewer internalizing behaviors. These direct relations are presented in the final conceptual model (Figure 4). While causal effects cannot be determined through this study, this finding suggests that social support promotes positive academic and social-emotional outcomes following maltreatment. Social support provides many benefits which may promote these positive outcomes. Perceived support creates a sense of stability and facilitates positive experiences with others (Cohen & Willis, 1985). Cohen and Wills (1985) proposed a model of the relation between social support and well-being. They hypothesized that social support affects the relation between stressful events and well-being during two stages: the appraisal of the event and the response to the event. Perceived social support may prevent a stress response following the event by creating a sense of security. An individual exposed to a potentially stressful event may perceive that their 83 supportive network will be able to provide them with the necessary resources and supports to cope with the experience (Cohen & Wills, 1985). Therefore, instead of appraising the experience as traumatic, the individual may perceive less stress following the event. Children may believe that they have adequate support from caregivers and peers and therefore perceive the experience as less severe than they would if they had little support. Additionally, social relationships may provide necessary support following a potentially traumatic event which help the individual cope with the situation. Supportive relationships may aid in providing a solution to the problem, reducing the importance of the problem, and by facilitating healthy behaviors (Cohen & Wills, 1985). After experiencing maltreatment, children may receive emotional support from adults and friends which helps them cope with the experience. The model proposed by Cohen and Willis (1985) suggests that social support may benefit individuals exposed to adversity in multiple ways at different times following the adverse experience. Overall, social support appears to promote positive outcomes among maltreated youth, regardless of the degree of trauma. The presence of perceived emotional social support is associated with more positive academic and social-emotional outcomes following maltreatment. Children and adolescents with supportive relationships are more likely to experience positive outcomes following abuse or neglect. Differential Effects Caregiver and peer social support were differentially related to outcomes. Social support from caregiver relationships was associated with fewer externalizing behaviors. Social support from peer relationships was associated with fewer internalizing behaviors. To understand this finding, it is necessary to identify the relation between these sources of support and their unique roles in adolescents' lives. 84 Figure 4 Standardized Factor Loadings of Final Model Within this study, caregiver social support and peer social support were moderately correlated, indicating that they are related, but separate, constructs. Similarly, an analysis of adolescents in the general population assessed the relation between caregiver social support and peer social support (van Beest & Baerveldt, 1999). The goals of the study were to evaluate whether adolescents compensate for a lack of parental support through peer support (negative correlation), whether parental support cannot be compensated by peer support (no correlation), or whether adolescents with a lack of parental support would also have low peer support (positive correlation). Within this population of adolescents with generally intact parental support, a perceived lack of parental support was not compensated for by support from peers, or was not strongly correlated (van Beest & Baerveldt, 1999). This suggests that social support from caregivers and social support from peers are independent of each other and therefore may relate to outcomes differently. This supports an additive model of social support proposed by Brittain 85 (1968). This model theorizes that both caregivers and peers influence adolescents, but influence different situations. This model therefore suggests that caregiver and peer social support would each contribute to adolescents' well-being separately. Relationships with caregivers and relationships with peers are inherently different and serve different roles in the lives of adolescents. Peer relationships are generally voluntary and built on mutual interests, cooperation, and trust (Gifford-Smith & Brownell, 2003). Caregiver relationships are generally developed through early social experiences such as acting as a secure base and as reassuring play partners (Al-Jagon, 2016). Relationships with caregivers among maltreated youth, however, may be significantly different. Following maltreatment, an adolescent's primary caregiver may continue to be the perpetrator of abuse or neglect. Or their caregiver may be an extended family member or non-familial caregiver that they may or may not have known for an extended period of time. These varied experiences may create significant differences across adolescents' relationships with their current caregiver. Additionally, the role of caregiver relationships and peer relationships tend to change during adolescence. During childhood, caregivers function as the center of children's social networks (Helsen, et al., 2000). During adolescence, the significance of caregiver relationships decreases or remains constant (Helsen, et al., 2000). Adolescents report valuing and seeking emotional support from relationships that are trusting, familiar, mature, approving, and with whom they have a good relationship (Camara, Bacigalupe, & Padilla, 2014). The current study demonstrated that perceived social support from caregivers predicted fewer externalizing problems within a sample of adolescents that were the subject of child welfare investigations. Similar patterns have been observed between caregiver relationships and mental health outcomes among normative populations. In a correlational analysis examining 86 externalizing behaviors within a diverse sample of adolescents, perceived parental social support predicted fewer externalizing behavior problems (White & Renk, 2012). Similarly, a longitudinal study assessing changes in adolescent behavior across one year and their relation to parenting behaviors found that parenting behaviors predict fewer externalizing behavior problems (Reitz, Dekovic, & Meijer, 2006). Several aspects of parenting behaviors were assessed including: involvement (perceived parental emotional responsiveness and affection), emotional autonomy (perceived parental encouragement of emotional autonomy), decisional autonomy (adolescent decision making on a variety of choices), and strictness (perceived level of strictness of parents). Higher parental involvement and lower decisional autonomy were related to fewer externalizing behavior problems (Reitz et al., 2006). As parental involvement was measured similarly to perceived caregiver social support, this relation is consistent with the current finding that greater perceived emotional social support is associated with fewer externalizing behaviors. This finding can be explained by the interaction between parenting behaviors and adolescent behaviors. Caregiver behaviors may change based on perceived adolescent behaviors and vice versa. This relationship is dynamic, particularly during adolescence. Reitz et al., (2006) identified significant interactions between parental involvement and adolescents’ externalizing behaviors. Among adolescents with high levels of externalizing behaviors, perceptions of parental involvement tended to change after a one-year period to the opposite direction. Adolescents with high levels of externalizing behaviors who initially perceived their parents as highly involved later perceived them as less involved. Adolescents with high levels of externalizing behaviors who initially perceived their parents as less involved later perceived them as more involved. Overall, parenting behaviors seem to adjust based on the level of 87 adolescents’ behavioral needs and this adjustment is associated with fewer externalizing behavior problems among typical adolescents. Perceived caregiver support did not predict internalizing behaviors among youth that were the subject of child welfare investigations or non-referred youth. As in the current study, Reitz et al. (2006) did not find a significant direct relation between parenting behaviors and adolescents’ internalizing behaviors. A significant interaction effect was identified, however, between parent involvement and internalizing behaviors. Among a sample of non-referred adolescents with higher levels of internalizing problems, higher levels of parent involvement were associated with even greater internalizing problems one year later (Reitz et al., 2006). This suggests that for adolescents who express high levels of emotional difficulties, perceived parental involvement may increase internalizing behavior problems. This could be due to a perception by adolescents that caregivers are over-involved or do not understand the adolescents’ difficulties accurately. Highly involved parents may also convey concerns and fears that amplify the adolescents’ anxieties and insecurities resulting in higher levels of internalizing problems. The current study examined the interaction between perceived trauma symptoms and mental health outcomes, but did not assess the potential interaction between perceived caregiver social support and adolescents’ behaviors including internalizing problems. Caregiver social support may not directly relate to adolescents’ internalizing behavior problems due to adolescents’ perception that caregivers are not able to provide the appropriate level and type of support needed. When parental involvement is overly high or overly low, adolescents may experience increased internalizing behavior problems. The current study identified a significant direct relation between social support from peers and internalizing behaviors, but not externalizing behaviors. Previous research assessing 88 peer relationships among normative populations, however, have suggested different patterns. Among non-referred populations, adolescents tend to prefer friends with similar externalizing problems, but not internalizing problems as measured by peer nomination (Fortuin, van Geel, & Vedder, 2015). In addition to choosing a peer group that is similar to themselves in terms of externalizing behaviors, adolescents also become more similar to their peer group over time through socialization (Fortuin et al., 2015). This suggests that peer relationships may be associated with greater externalizing behaviors. Mixed findings have been identified within the relation between peer relationships and internalizing behaviors. Some studies have shown that positive peer relationships promote emotional well-being (Fortuin et al., 2015) while others have shown that for females, peer relationships can contribute to increased internalizing behaviors (Rose, Carlson, & Waller, 2007). Both females and males often engage in co-rumination, or excessively discussing problems, with friends. Among females, co-rumination predicts increased internalizing behavior problems including symptoms of depression and anxiety (Rose et al., 2007). While co-rumination was not assessed in the current study, greater perceived social support from peers was related to fewer internalizing behavior problems. This suggests that for youth that were the subject of child welfare investigations, support from peer relationships may provide effective emotional support contributing to positive functioning in relation to internalizing problems such as anxiety and depression. Overall, the findings from the current study assessing the role of caregiver support on externalizing and internalizing behaviors were consistent with research within normative populations. Caregiver support can provide effective physical security and structure, which may reduce behavior problems (Al-Jagon, 2016). In contrast, findings from the current study related to peer support were not consistent with research assessing normative populations. While some 89 studies have suggested that peer relationships have a negative effect on internalizing behaviors through co-rumination (Rose et al., 2007), the current study suggested that social support from peers is associated with fewer internalizing behavior problems among maltreated youth. Adolescents seek emotional support from peer relationships (Gifford-Smith & Brownell, 2003). This may provide feelings of trust and connectedness which reduces emotional distress, especially among maltreated youth. Maltreated youth may have their emotional needs and behavioral needs met through these different types of relationships. Relationships with caregivers may support behavioral needs while relationships with peers may support emotional needs. As both needs are important for healthy functioning, both relationships are important in promoting positive outcomes. Another explanation for this finding could be that the relation between social support and outcomes differs based on demographic or maltreatment characteristics. In particular, the role of caregiver and peer relationships may differ between males and females. Assessing group differences related to gender, maltreatment type, substantiation, etc. could aid in further understanding the relations observed within this study. Previous research (e.g., Tolin & Foa, 2006) suggests that the observed differential relation between caregiver social support and peer social support may be partially explained by gender differences, but due to multicollinearity between peer social support and internalizing behaviors, this could not be examined. Cross tabulation analyses suggest that differences may exist in the relation between social support and outcomes on the basis of maltreatment characteristics. Future research that includes the assessment of group differences is indicated to better understand the role of social support within this heterogeneous population. 90 Significance of Peer Social Support Another important finding of this study was the significance of peer social support within the conceptual model. The role of peer social support has been examined in some prior research, but the majority of studies examining normative populations or maltreated populations have assessed social support through caregiver relationships (e.g., Dingfelder et al., 2010; Muller et al., 2000). There has been a lack of research examining the role of peer support. The current study demonstrated that social support from peer relationships is important for several reasons. First, peer relationships appear to have a unique role in promoting emotional well-being. The differential relation previously discussed demonstrates that relationships from peers contributes to well-being separately from caregiver social support. Specifically, greater social support from peers was associated with fewer internalizing behavior problems, while social support from caregivers was not related to this outcome variable. Second, consideration of peer social support provides a more complete model of trauma and resilience among maltreated youth. The conceptual model including both caregiver social support and peer social support as predictors better explained the sample data compared to a model including only caregiver social support, as measured by goodness of fit testing. Consistent with an additive model of social support, caregiver support and peer support independently contribute to outcomes (Brittain, 1968). Previous studies that have examined only caregiver social support may have missed important aspects of the relation between risk and resilient outcomes. Overall, these findings suggest that consideration of multiple sources of social support is needed to understand the complex relations between trauma, social support, and academic and social-emotional outcomes. 91 Trauma Symptoms Although participants did report experiencing symptoms of trauma following alleged maltreatment, the majority of the sample did not report clinically significant levels of traumatic stress following a child protective services investigation of alleged maltreatment. This suggests that the event experienced may not have been perceived as traumatic or that children were able to cope effectively and did not develop symptoms of traumatic stress. In the current study, 8.7% of the sample exhibited clinically significant trauma symptoms as measured by the Trauma Symptom Checklist for Children (TSCC). Previous studies have reported that 11.7% of maltreated youth had significant levels of traumatic stress, as measured by the TSCC (Kolko et al., 2010). The prevalence observed in the current study is slightly lower than previous assessments. This difference may be due to differences between the populations sampled. The current study assessed trauma symptoms among children ages 11 to 17 years old while Kolko et al. (2010) sampled children ages 8 to 14 years old. While each of these prevalence rates are low to moderate, they represent a significant number of children in the population that experience significant levels of trauma symptoms following maltreatment. Contrary to prior research, the type of maltreatment reported, the severity of maltreatment, substantiation of the investigation, and demographic characteristics of age and gender did not predict the level of perceived trauma symptoms. Previous research has demonstrated that children that experience less severe maltreatment develop fewer symptoms of trauma compared to those that experience more severe maltreatment (Hyman & Williams, 2011). Regarding demographic characteristics, males tend to develop fewer trauma symptoms compared to females after experiencing a potentially traumatic event (Tolin & Foa, 2006). Mixed findings have been observed related to the impact of the other hypothesized predictors. Findings from the 92 current study suggest that none of these maltreatment or demographic variables directly predict perceived traumatic stress. This null finding may indicate that trauma symptoms do not vary based on the type of maltreatment, subjective severity, substantiation, or child characteristics including age and gender. Children's own perceptions of the potentially traumatic event may influence their level of distress independent of these other factors. A likely explanation of this finding is that a combination of factors predicts trauma symptoms following maltreatment, with no one variable significantly predicting trauma alone. Previous studies have assessed a variety of hypothesized predictors of trauma symptoms with mixed findings. A recent meta-analysis compiled 34 longitudinal studies assessing predictors of trauma symptoms (Alisic, Jongmans, van Wesel, & Kleber, 2011). They found that none of the assessed predictors explained a large part of long-term posttraumatic stress symptoms; significant predictors explained up to 31% of variance in trauma symptoms (Alisic et al., 2011). This suggests that an individual's response to a traumatic event may be influenced by the interaction or combination of a variety of factors, rather than by individual predictors as assessed within the current study. Alternatively, this null finding may be the result of limited variance in trauma symptoms and measurement of the hypothesized predictors. Type of maltreatment was based on the caseworker’s report of the primary type of maltreatment under investigation. This measure does not capture other forms of maltreatment that the participant may have experienced during the incident under investigation or in previous incidents of abuse or neglect. Additionally, response options were dichotomized to represent forms of maltreatment that were primarily abuse (i.e., physical, emotional, sexual abuse) and those that were primarily neglect (i.e., physical neglect) due to limited sample sizes within each individual category. Combining these categories may 93 have created excessive variance, or “noise,” within the variable or may have masked differences between individual categories. Therefore, distinct patterns may not be observed. Similarly, severity of maltreatment was assessed using the caseworker’s report of the subjective level of harm experienced by the child. This rating may not be a valid representation of the actual severity of maltreatment. The variable was also categorized into three response options by combining the responses of “moderate” and “severe” due to small sample sizes to create the third category of “moderate to severe.” Differences may have been observed in participants' perceived trauma symptoms between these two categories if they had not been combined. Consistent with previous research, trauma symptoms were associated with elevated internalizing and externalizing behavior problems. Trauma symptoms had a moderate positive relation to internalizing behaviors and to externalizing behaviors. Following maltreatment, children and adolescents may experience significant trauma caused by the abuse and neglect. They may also experience trauma and dysfunction related to the child protective services investigation processes and changes to their primary caregiver and living situation. These symptoms of trauma were related to negative social-emotional outcomes. This demonstrates that this population is in need of support to prevent these negative outcomes. Trauma symptoms were not directly related to academic achievement or academic engagement. This finding was unexpected as trauma has been shown to interfere with cognitive processes required for learning such as sustained attention. There may be several reasons for this null finding. First, trauma symptoms may cease to influence academics after several years have passed since the traumatic event. In the current study, trauma symptoms were assessed at the start of a child protective services investigation and academic achievement was assessed approximately 18 months after the investigation. During that time, the negative effects of trauma 94 may have subsided. Additionally, children may have received supplemental supports from caregivers, social services, or educational personnel which improved educational performance. Second, clinical levels of trauma symptoms may affect academic outcomes while non-clinical levels of trauma may not significantly affect academics. The current study included children that were the focus of an investigation of maltreatment, regardless of the level of trauma symptoms. If children with clinically significant trauma symptoms were assessed separately, a significant relation between trauma and academic outcomes may have been observed at the time of assessment. Furthermore, the methods of assessing academic achievement within this study may not adequately represent students’ actual school performance. Standardized measures of academic achievement, such as the Woodcock Johnson III, are valid indicators of academic knowledge and skills and are often used in research studies. Achievement within the school setting, however, is generally assessed through homework assignments and in-class tests. Students affected by trauma may possess adequate knowledge and skills, but may have difficulty demonstrating these skills through homework assignments and tests. The finding within this study that trauma symptoms do not predict academic achievement may represent participants’ academic knowledge and skills rather than classroom achievement. This finding does not indicate whether trauma affects students’ abilities to achieve academic success as measured by typical classroom assessments. Limitations The current study utilized data from the NSCAW II data set. Use of a secondary data set has many advantages, particularly access to a large sample of maltreated youth. However, there are several limitations to the design and procedures of this study using measures from the 95 NSCAW II data set. This study utilized non-experimental analyses to understand the relation between variables of interest. Variables of interest were not manipulated and participants were not randomly assigned to conditions. Therefore, this study does not allow for causal explanations of these relations. Results of this study suggest that trauma and social support statistically predict outcomes. However, these results do not indicate whether these or other variables cause changes in academic and social-emotional outcomes across time. Furthermore, this study sampled children that were the subject of a child welfare investigation. A comparison sample of nonreferred children was not included. It is therefore not known whether the results of this study are specific to maltreated individuals or whether these results characterize the general population. This study is also limited by several measurement factors. First, the operationalization of social support measures did not fully assess the conceptualization of this construct. As previously discussed, social support was conceptualized within the current study as perceived emotional support from caregivers and peers. This involves the perception that emotional support is available if needed. The measures used to assess social support from caregiver and peer relationships were each developed by different researchers for different purposes and were each designed to measure different constructs. The caregiver measure was designed to assess perceived relatedness with caregivers. It assessed participants’ emotions while with their caregiver and their perceptions regarding the caregiver’s feelings toward the child. These statements may contribute to or be secondary to children’s perceived emotional support, but they do not directly assess children’s perceptions of the level of emotional support available from caregivers. The measure used to assess peer social support was designed to assess the absence of strong peer relationships. It assessed participants’ assessment of the availability of friends at school and whether they got along with peers at school. This measure also focused on peer 96 relationships in the school setting and excluded interactions with peers in other settings. Similar to the caregiver measure, the availability and compatibility of friendships in the school environment may contribute to or may be secondary to children’s perceived emotional support, but it does not directly assess peer social support. As the operationalization of the caregiver and peer social support measures do not directly assess perceived emotional social support, this limits the interpretation of these findings. Second, the measures used to assess caregiver and peer social support were not parallel, or related scales. The measures included a different number of items, different item questions, and a different range of response options. Additionally, each of these measures included many items that were negatively phrased (e.g., “I have nobody to talk to at school” and “When I’m with my caregiver, I feel unhappy”). These negatively phrased statements may have caused participants to overemphasize negative interactions with caregivers and peers compared to neutral or positive interactions. Equal measurement of negative, neutral, and positive statements regarding these relationships may have provided a more valid representation of perceived social support. Differences in children’s responses to these items may be a function of these characteristics of the instruments rather than a result of quantifiable differences in perceived social support. Third, the relationship to the caregiver and length of time participants had known the caregiver may have also influenced ratings of perceived social support. Participants were asked to respond to items relating to their current caregiver. The caregiver may have been the child’s biological parent, a relative, a foster parent, or other guardian. The length of time the child lived with the caregiver prior to data collection varied. This causes several potential limitations. If the child was not removed from the home where maltreatment occurred, social support ratings may 97 be directed toward the perpetrator of abuse or neglect. If the child was removed from the home, social support ratings may be directed toward a caregiver the child may not have known for a significant period. These differences may have influenced children’s ratings of perceived social support from the current caregiver. Fourth, social-emotional well-being was assessed through rating scales completed by children and caregivers rather than a direct measure of behavior. Children and caregivers reported their perceived observations of internalizing and externalizing problems which may not be as valid as a direct measure of children's behavior. Caregiver ratings may have error due to possible frustration caused by the child’s trauma symptoms and behavior problems, or due to not knowing the child long enough to accurately rate behavior problems. Children’s self-report ratings may have error due to experiencing significant behavior problems and lacking sufficient awareness of their own behaviors. Children, especially those with significant mental health concerns, may not accurately identify elevated externalizing and internalizing behavior problems. Therefore, self-reported outcomes may not represent children’s true challenges. Since caregiver and child ratings may each over- or under-estimate children's internalizing and externalizing behaviors, both measures were included in the latent variables assessing internalizing and externalizing problems. Due to these design and measurement limitations, results from this study should be interpreted with caution. Implications for Practice Results from this study suggest that the presence of emotional social support may promote more positive outcomes among maltreated youth. Therefore, it is important for professionals working with this population to assess sources of emotional support to identify potential areas for interventions. Social support may be obtained through home-based supportive 98 relationships and school-based relationships. Results of this study indicated that social support from multiple sources benefit different areas of adolescents' functioning. Following assessment of social support, professionals should actively promote social support and foster supportive relationships for children with a history of maltreatment through relationships at home and at school. As children with a history of maltreatment may continue to be in the primary care of the perpetrator of maltreatment, professionals should consider children's relationships with their primary caregiver and other family members. In some cases, it may be more beneficial to seek support from an older sibling or extended family member. Caseworkers should teach individuals effective caregiving practices and provide strategies to create a warm and supportive environment for children. Helping children and caregivers develop a positive relationship is especially important when children begin living with a new or temporary caregiver during a maltreatment investigation. Teachers and other school professionals may help students with a history of maltreatment connect with their peers and help them develop appropriate and supportive relationships. As maltreated youth often display externalizing behavior problems that may be aversive to peers, school professionals should help maltreated youth develop appropriate social skills through direct instruction, modeling, and feedback. While school professionals cannot create friendships, they can facilitate positive interactions between students that may lead to friendships. Teachers may provide students with a partner to complete class activities with. They may assign seats where the student with a history of maltreatment is near friendly peers. Schools may even create peer support groups that may be a safe space for students to discuss challenging issues. Fostering emotional social support in any way may help promote more positive outcomes in the presence of trauma. 99 Future Research Caregiver and peer social support are uniquely related to social-emotional outcomes and should therefore both be considered when promoting social support and assessing social support. Research studies examining the role of social support among maltreated youth should measure social support from multiple sources such as current caregiver, peers, and teachers. As previously discussed, most research in this area has examined social support through caregiver relationships. This limited view of social support does not provide a complete understanding of the role of social support among maltreated youth. Results of this study indicated that trauma is more strongly related to poor internalizing behaviors than poor externalizing behaviors. Maltreatment may have a greater negative impact on children and adolescents' emotional well-being. The examination of social support demonstrated that social support from peer relationships is related to fewer internalizing behaviors problems. Therefore, peer social support may address the primary effects of trauma and should be considered in both research and practice with this population. Further research is needed to understand the effect of trauma on academic outcomes and the potential role of social support as a protective factor in promoting positive academic outcomes. Neither trauma nor social support predicted academic achievement as measured by standardized achievement tests within this study. Caregiver social support predicted academic engagement, but peer social support and trauma symptoms were not related to academic engagement. Future research should examine other indicators of academic success such as grades or grade point averages, homework submission, summative assessments, and graduation rates. Researchers should assess whether trauma symptoms are related to these measures of academic achievement. 100 Finally, longitudinal research is needed to assess causal relationships between trauma, social support, and academic and social-emotional well-being. Without longitudinal analyses, conclusions regarding causal relations cannot be determined. The process of resilience occurs over time. Therefore, variables of interest should be examined over time. While measures of social support and academic and social-emotional well-being may not be available prior to the occurrence of maltreatment, these measures can still be analyzed over time following maltreatment. The current study demonstrated that trauma is significantly related to poorer social-emotional well-being and that social support is related to better social-emotional wellbeing and academic engagement. These results suggest that the presence of social support may lead to more positive outcomes among victims of maltreatment. To further assess these patterns, resilience could be conceptualized and measured as maintenance or improvement in outcome variables over time. Specifically, analysis of residuals could be used to assess change over time within outcome variables. Non-negative residuals would indicate participants who exhibited resilience between two time points. Assessing the relation between predictor variables such as social support and residual outcomes could more accurately assess the role of social support in promoting resilience. Additionally, a model-based approach may be used to assess differences between groups. Latent profile analyses could be used to identify groups of participants that exhibit maintained or improved academic and socialemotional outcomes. In other words, this methodology could be used to identify participants that exhibit resilience. Differences between these groups or classes could then be assessed to determine characteristics, or protective factors, that are associated with a greater likelihood of resilient outcomes. These analysis methods would provide more conclusive evidence that 101 caregiver and peer social support may serve as protective factors, promoting positive outcomes in the presence of risk. 102 APPENDIX 103 Figure 5 Structural Equation Model Assessing Caregiver Social Support 104 Figure 6 Structural Equation Model Assessing Peer Social Support 105 REFERENCES 106 REFERENCES Aber, J. L., Allen, J., Carlson, V., & Cicchetti, D. (1989). The effects of maltreatment on development during early childhood: Recent studies and their theoretical clinical and policy implications. In D. Cicchetti & V. Carlson (Eds.), Child maltreatment: Theory and research on causes and consequences, 579-619. Cambridge University Press, Cambridge. Achenbach, T. M. (1991). Manual for Child Behavior Checklist/ 4-18 and 1991 Profile. Burlington, VT: University of Vermont, Dept. of Psychiatry Action. (2008, August). Child Safety and Substantiation of Maltreatment. In Action for Child Protection. Retrieved May 1, 2016, from http://action4cp.org/documents/2008/doc/August_Child_Safety_and_Substantiation_of_ Child_Maltreatment_08042008.doc Afifi, T. O., & MacMillan, H. L. (2011). Resilience following child maltreatment: A review of protective factors. Canadian Journal of Psychiatry, 56(5). doi:10.1177/070674371105600505 Alisic, E., Jongmans, M. J., van Wesel, F., & Kleber, R. J. (2011). Building child trauma theory from longitudinal studies: A meta-analysis. Clinical Psychology Review, 31(5), 736-747. doi:10.1016/j.cpr.2011.03.001 Allen, R. E., & Oliver, J. M. (1982). The effects of child maltreatment on language development. Child Abuse & Neglect, 6, 299-305. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: Author. Asher, S., & Wheeler, V. (1985). Children’s loneliness: A comparison of rejected and neglected peer status. Journal of Consulting and Clinical Psychology, 53(4), 500-505. Banyard, V. L., & Williams, L. M. (2007). Women’s voices on recovery: A multi-method study of the complexity of recovery from sexual abuse. Child Abuse & Neglect, 31(3), 275-290. doi:10.1016/j.chiabu.2006.02.016 Barrera, M. (1981). Social support in the adjustment of pregnant adolescents: Assessment issues. In B. H. Gottlieb (Ed.), Social networks and social support (pp. 69-96). Beverly Hills, CA: Sage. Barrera, M. (1986). Distinctions between social support concepts, measures, and models. American Journal of Community Psychology, 14, 413-445. doi:10.1007/BF00922627 Boden, J. M., Horwood, L. J., & Fergusson, D. M. (2007). Exposure to childhood sexual and physical abuse and subsequent educational achievement outcomes. Child Abuse & Neglect, 31, 1101-1114. doi:10.1016/j.chiabu.2007.03.022 107 Brewin, C. R., Andrews, B., & Valentine, J. D. (2000). Meta-analysis of risk factors for posttraumatic stress disorder in trauma-exposed adults. Journal of consulting and Clinical Psychology, 68, 748-766. doi:10.1037//0022-006X.68.5.748 Briere, J. (1996) Trauma Symptom Checklist for Children: Professional Manual. Florida: Psychological Assessment Resources Inc. Brittain, C. V. (1968). An exploration of the bases of peer-compliance and parent-compliance in adolescence. Adolescence, 13, 445-458. Camara, M., Bacigalupe, G., & Padilla, P. (2014). The role of social support in adolescents: Are you helping me or stressing me out? International Journal of Adolescence and Youth, doi:10.1080/02673843.2013.875480 Child Welfare Information Gateway. (2011). About CAPTA: A legislative history. Washington, DC: U.S. Department of Health and Human Services, Children’s Bureau. Child Welfare Information Gateway. (2014). Definitions of child abuse and neglect. Washington, DC: U.S. Department of Health and Human Services, Children's Bureau. Cicchetti, D., Rogosch, F., Lynch, M., & Holt, K. (1993). Resilience in maltreated children: Processes leading to adaptive outcome. Development and Psychology, 5, 629-647. Cohen, S., & Willis, T. H. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98(2), 310-357. Connell, J. P. (1990). Context, self, and action: A motivational analysis of self-system processes across the life span. In D. Cicchetti & M. Beeghly (Eds.), The self in transition (pp. 6197). Chicago: University of Chicago Press. Connell, J. P., & Wellborn, J. G. (1991). Competence, autonomy, and relatedness: A motivational analysis of self-system processes. In M. Gunnar & L. A. Sroufe (Eds.), Minnesota Symposium on Child Psychology: Vol. 23. Self processes in development. Chicago: University of Chicago Press. Crittenden, P. M. (1992). Children’s strategies for coping with adverse home environments: An interpretation using attachment theory. Child Abuse & Neglect, 16, 329–343. Dingfelder, H. E., Jaffee, S. R., & Mandell, D. S. (2010). The impact of social support on depressive symptoms among adolescents in the child welfare system: A propensity score analysis. Children and Youth Services Review, 32(10), 1255-1261. doi:10.1016/j.childyouth.2010.04.016 DuMont, K. A., Widom, C. S., & Czaja, S. J. (2007). Predictors of resilience in abused and neglected children grown-up: The role of individual and neighborhood characteristics. Child Abuse & Neglect, 31, 255-274. 108 English, D. J., Graham, J. C., Litrownik, A. J., Everson, M., & Bangdiwala, S. I. (2005). Defining maltreatment chronicity: Are there differences in child outcomes? Child Abuse & Neglect, 29(5), 575-595. doi:10.1016/j.chiabu.2004.08.009 Evans, S. E., Steel, A. L., & DiLillo, D. (2013). Child maltreatment severity and adult trauma symptoms: Does perceived social support play a buffering role? Child Abuse & Neglect 37, 934-943. doi:10.1016/j.chiabu.2013.03.005 Finkelhor, D., Turner, H. a, Shattuck, A., & Hamby, S. L. (2013). Violence, crime, and abuse exposure in a national sample of children and youth: an update. JAMA Pediatrics, 167(7), 614–21. doi:10.1001/jamapediatrics.2013.42 Flett, G.L., Druckman, T., Hewitt, P.L. et al. J Rat-Emo Cognitive-Behav Ther (2012) 30: 118. doi:10.1007/s10942-011-0132-6 Folger, S. F. & Wright, M. O. (2013). Altering risk following child maltreatment: Family and friend support as protective factors. Journal of Family Violence, 28, 325-337. Ford, J. D., Wasser, T., & Connor, D. F. (2011). Identifying and determining the symptom severity associated with polyvictimization among psychiatrically impaired children in the outpatient setting. Child Maltreatment, 16(3), 216-226. Fortuin, J., van Geel, M., & Vedder, P. (2015). Peer influences on internalizing and externalizing problems among adolescents: A longitudinal social network analysis. Journal of Youth and Adolescence, 44(4), 887. doi:10.1007/s10964-014-0168-x Fuller, T., & Nieto, M. (2009). Substantiation and maltreatment reporting: A propensity score analysis. Child Maltreatment, 14(1), 27-37. Garmezy, N., Masten, A. S., & Tellegen, A. (1984). The study of stress and competence in children: A building block for developmental psychopathology. Child Development, 55(1), 97-111. doi:10.1111/j.1467-8624.1984.tb00276.x Geiser, S., & Santelices, M. V. (2007). Validity of high-school grades in predicting student success beyond the freshman year (Research and Occasional Paper Series No.CSHE.6.07). University of California, Berkeley, Center for Studies in Higher Education. Gifford-Smith, M. E. & Brownell, C. A. (2003). Childhood peer relationships: Social acceptance, friendships and peer networks. Journal of School Psychology, 41(4), 235-284. Gleason, M. E. J. & Iida, M. (2015). Social support. In M. Mikulincer and P. R. Shaver (Eds.), APA Handbook of Personality and Social Psychology: Vol 3. Interpersonal Relations (pp. 351-360). Washington, DC, US: American Psychological Association. Gottlieb, B. H. (1978). The development and application of a classification scheme of informal helping behaviors. Canadian Journal of Behavioral Science, 10, 105-115. 109 Gottlieb, B. H. (1983). Social support strategies: Guidelines for mental health practice. Sage, Beverly Hills, CA. Gottlieb, B. H., & Bergen, A. E. (2010). Social support concepts and measures. Journal of Psychosomatic Research, 69(5), 511-520. doi:10.1016/j.jpsychores.2009.10.001 Haber, M. G., Cohen, J. L., Lucas, T., & Baltes, B. B. (2007). The relationship between selfreported received and perceived social support: A meta-analytic review. American Journal of Community Psychology, 39, 133-144. Helsen, M., Vollebergh, W., & Meeus, W. (2000). Social support from parents and friends and emotional problems in adolescence. Journal of Youth and Adolescence, 29(3), 319-335. doi:10.1023/A:1005147708827 Herrenkohl, E. C., Herrenkohl, R. C. & Egolf, B. (1994). Resilient early school-age children from maltreating homes: Outcomes in late adolescence. Journal of Orthopsychiatry, 64(2), 301-309. Hildyard, K. L., & Wolfe, D. a. (2002). Child neglect: Developmental issues and outcomes. Child Abuse and Neglect, 26(6-7), 679–695. doi:10.1016/S0145-2134(02)00341-1 Hofstra, M. B., Van Der Ende, J., & Verhulst, F. C. (2002). Child and adolescent problems predict DSM-IV disorders in adulthood: A 14-year follow-up of a dutch epidemiological sample. Journal of the American Academy of Child & Adolescent Psychiatry, 41(2), 182189. doi:10.1097/00004583-200202000-00012 House, J. S., Kahn, R. L., McLeod, J. D., & Williams, D. (1985). Measures and concepts of social support. In S. Cohen & S. Syme (Eds.), Social support and health (pp. 83–108). San Diego, CA: Academic Press. Hussey, J. M., Marshall, J. M., English, D. J., Knight, E. D., Lau, A. S., Dubowitz, H. & Kotch, J. B. (2005). Defining maltreatment according to substantiation: Distinction without a difference? Child Abuse & Neglect, 29, 479-492. doi:10.1016/j.chiabu.2003.12.005 Hussey, J. M., Chang, J. J., & Kotch, J. B. (2006). Child maltreatment in the United States: Prevalence, risk factors, and adolescent health consequences. Pediatrics, 118(3), 933942. Hyman, B., & Williams, L. (2001). Resilience among women survivors of child sexual abuse. Affilia, 16(2), 198-219. doi:10.1177/08861090122094226 IBM Corp. Released 2013. IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp. Jaffee, S. R., & Maikovich-Fong, A. K. (2011). Effects of chronic maltreatment and maltreatment timing on children’s behavior and cognitive abilities. Journal of Child Psychology and Psychiatry and Allied Disciplines, 52(2), 184–194. doi:10.1111/j.14697610.2010.02304.x 110 Juvonen, J., Espinoza, G., & Knifsend, C. (2012). The role of peer relationships in student academic and extracurricular engagement. (2012th ed., pp. 387-401). Boston, MA: Springer US. doi:10.1007/978-1-4614-2018-7_18 Kaplow, J. B., & Widom, C. S. (2007). Age of onset of child maltreatment predicts long-term mental health outcomes. Journal of Abnormal Psychology, 116(1), 176-187. doi:10.1037/0021-843X.116.1.176 Kaufman, J., & Cicchetti, D. (1989). Effects of maltreatment on school-age children’s socioemotional development: Assessments in a day camp setting. Developmental Psychology, 25, 516-524. Kinard, E. M. (1999). Psychosocial resources and academic performance in abused children. Children and Youth Services Review, 21(5), 351-376. Kolko, D. J., Hurlburt, M. S., Zhang, J., Barth, R. P., Leslie, L. K., & Burns, B. J. (2010). Posttraumatic stress symptoms in children and adolescents referred for child welfare investigation: A national sample of in-home and out-of-home care. Child Maltreatment, 15(1), 48–63. doi:10.1177/1077559509337892 Lakey, B., & Drew, J. B. (1997). A social-cognitive perspective on social support. New York, NY: Plenum Press. Lamis, D. A., Wilson, C. K., King, N. M., & Kaslow, N., J. (2014). Child abuse, social support, and social functioning in African American children. Journal of Family Violence, 29, 881-891. doi:10.1007/s10896-014-9639-9 Langford, C., Bowsher, J., Maloney, J., & Lillis, P. (1997). Social support: A conceptual analysis. Journal of Advanced Nursing, 25(1), 95-100. doi:10.1046/j.13652648.1997.1997025095.x Leeb, R. T., Paulozzi, L., Melanson, C. Simon, T., & Arias, I. (2008). Child maltreatment surveillance: Uniform definitions for public health and recommended data elements, version 1.0. Atlanta, GA: Centers for Disease Control and Prevention, National Center for Injury Prevention and Control. Li, F., & Godinet, M. T. (2014). The impact of repeated maltreatment on behavioral trajectories from early childhood to early adolescence. Children and Youth Services Review, 36, 22– 29. doi:10.1016/j.childyouth.2013.10.014 Litty, C. G., Kowalski, R., & Minor, S. (1996). Moderating effects of physical abuse and perceived social support on the potential to abuse. Child Abuse & Neglect, 20, 305-314. Loth, A. K., Drabick, D. A. G., Leibenluft, E., & Hulvershorn, L. A. (2014). Do childhood externalizing disorders predict adult depression? A meta-analysis. Journal of Abnormal Child Psychology, 42(7), 1103-1113. doi:10.1007/s10802-014-9867-8 111 Luthar, S. S. (2006). Resilience in development: A synthesis of research across five decades. In D. Cicchetti, & D. Cohen (Eds.) Developmental psychopathology: Risk, disorder, and adaptation (vol. 3, 2nd edn, pp. 739-795). New York: Wiley. Luthar, S. S., Cicchetti, D., & Becker, B. (2013). The construct of resilience: A critical evaluation and guidelines for future work. Child Development, 71(3), 543–62. Lynch, M., & Cicchetti, D. (1991). Patterns of relatedness in maltreated and nonmaltreated children: Connections among multiple representational models. Development and Psychopathology, 3, 207-226. Martinez-Torteya, C., Anne Bogat, G., von Eye, A., & Levendosky, A. A. (2009). Resilience among children exposed to domestic violence: The role of risk and protective factors. Child Development, 80(2), 562-577. doi:10.1111/j.1467-8624.2009.01279.x Masten, A. S. (2001). Ordinary magic. Resilience processes in development. The American Psychologist, 56(3), 227–238. doi:10.1037/0003-066X.56.3.227 Masten, A. S., Garmezy, N., Tellegen, a, Pellegrini, D. S., Larkin, K., & Larsen, a. (1988). Competence and stress in school children: The moderating effects of individual and family qualities. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 29(6), 745–764. doi:10.1111/j.1469-7610.1988.tb00751.x Masten, A. S. (2007). Resilience in developing systems: Progress and promise as the fourth wave rises. Developmental Psychopathology, 19(3), 921-930. Masten, A. S. (2011). Resilience in children threatened by extreme adversity: Frameworks for research, practice, and translational synergy. Developmental Psychopathology, 23(2), 141-154. Masten, A. S., & Obradovic, J. (2006). Competence and resilience in development. Anny N. Y. Acad. Sci 1094, 13-27. McLewin, L. A., & Muller, R. T. (2006). Attachment and social support in the prediction of psychopathology among young adults with and without a history of physical maltreatment. Child Abuse & Neglect, 30, 171-191. doi: 10.1016/j.chiabu.2005.10.004 Muller, R. T., Goebel-Fabbri, A. E., Diamond, T., & Dinklage, D. (2000). Social support and the relationship between family and community violence exposure and psychopathology among high risk adolescents. Child Abuse & Neglect, 24(4), 449-464. doi:10.1016/S0145-2134(00)00117-4 Muthén, L.K. and Muthén, B.O. (1998-2012). Mplus User’s Guide. Seventh Edition. Los Angeles, CA: Muthén & Muthén National Survey of Child and Adolescent Well-being (2007). NSCAW Combined Waves 1–5 Data File User’s Manual – Restricted Release. Ithaca, NY: National Data Archive on Child Abuse and Neglect. 112 Ogle, C. M., Rubin, D. C., & Siegler, I. C. (2013). The impact of the developmental timing of trauma exposure on PTSD symptoms and psychosocial functioning among older adults. Developmental Psychology, 49(11), 2191-2200. doi:10.1037/a0031985 Pearlin, L. I., & McCall, M. E. (1990). Occupational stress and marital support: A description of microprocesses. In J. Eckenrode & S. Gore (Eds.), Stress Between Work and Family. New York: Plenum. Pepin, E. N., & Banyard, V. L. (2006). Social support: A mediator between child maltreatment and developmental outcomes. Journal of Youth and Adolescence, 35(4). 617-630. doi:10.1007/s10964-006-9063-4 Reef, J. (2010). Children's problems predict adults' DSM-IV disorders across 24 years. J Am Acad Child Adolesc Psychiatry, 49(11), 1117-1124. doi:10.1016/j.jaac.2010.08.002 Reitz, E., Deković, M., & Meijer, A. M. (2006). Relations between parenting and externalizing and internalizing problem behaviour in early adolescence: Child behaviour as moderator and predictor. Journal of Adolescence, 29(3), 419-436. doi:10.1016/j.adolescence.2005.08.003 Rose, A. J., Carlson, W., & Waller, E. M. (2007). Prospective associations of co-rumination with friendship and emotional adjustment: Considering the socioemotional trade-offs of corumination. Developmental Psychology, 43(4), 1019-1031. doi:10.1037/00121649.43.4.1019 Rosenthal, S., Feiring, C., & Taska, L. (2003). Emotional support and adjustment over a year’s time following sexual abuse discovery. Child Abuse & Neglect, 27, 641-661. Rutter, M. (2013). Annual research review: Resilience – clinical implications. Journal of Child Psychology and Psychiatry, 54(4), 474-487. Scott, L. A., Ingels, S. J., & National Center for Education Statistics. (2007). Interpreting 12thgraders' NAEP-scaled mathematics performance using high school predictors and postsecondary outcomes from the national education longitudinal study of 1988 (NELS: 88). Statistical Analysis Report. NCES 2007-328 Distributed by ERIC Clearinghouse. Seeds. P. M., Harkness, K. L., & Quilty, L. C. (2010). Parental maltreatment, bullying, and adolescent depression: Evidence for the mediating role of perceived social support. Journal of Clinical Child & Adolescent Psychology, 39(5), 681-692. doi:10.1080/15374416.2010.501289 Shonk, S. M., & Cicchetti, D. (2001). Maltreatment, competency deficits, and risk for academic and behavioral maladjustment. Developmental Psychology, 37, 3-17. Snyder, S. M. & Smith, R. E. (2015). Do youth with substantiated child maltreatment investigations have distinct patterns of delinquent behaviors? Children and Youth Services Review, 58, 82-89. doi:10.1016/j.childyouth.2015.09.008 113 Kendall-Tackett, K. A., & Eckenrode, J. (1996). The effects of neglect on academic achievement and disciplinary problems: A developmental perspective. Child Abuse & Neglect, 20(3), 161-169. Thompson, R., & Tabone, J. K. (2010). The impact of early alleged maltreatment on behavioral trajectories. Child Abuse & Neglect, 34(12), 907-916. doi:10.1016/j.chiabu.2010.06.006 Tolin, D. F., & Foa, E. B. (2006). Sex differences in trauma and posttraumatic stress disorder: A qualitative review of 25 years of research. Psychological Bulletin, 132(6), 959-992. Toth, S. L., & Cicchetti, D. (1996). The impact of relatedness with mother on school functioning in maltreated children. Journal of School Psychology, 34(3), 247-266. Types of Child Abuse. (2015). In Adults Surviving Child Abuse. Retrieved October 21, 2015, from http://www.asca.org.au/WHAT-WE-DO/Resources/General-Information/Types-ofchild-abuse#emotional U.S. Department of Health and Human Services, Administration for Children and Families, Administration on Children, Youth and Families, Children’s Bureau. (2015). Child maltreatment 2013. Available from http://www.acf.hhs.gov/programs/cb/research-datatechnology/statistic.... Ungar, M., Ghazinour, M., Richter, J. (2013). Annual research review: What is resilience within the social ecology of human development. Journal of Child Psychology and Psychiatry, 54(4), 348-366. doi:10.1111/jcpp.12025 van Beest, M., & Baerveldt, C. (1999). The relationship between adolescents' social support from parents and from peers. Adolescence, 34(133), 193. Vranceanu, A., Hobfoll, S. E., & Johnson, R. J. (2007). Child multi-type maltreatment and associated depression and PTSD symptoms: The role of social support and stress. Child Abuse & Neglect, 31, 71-84. doi:10.1016/j.chiabu.2006.04.010 Walsh, W. A., Dawson, J., & Mattingly, M. J. (2010). How are we measuring resilience following childhood maltreatment? Is the research adequate and consistent? What is the impact on research, practice, and policy? Trauma, Violence, and Abuse, 11, 27-41. Wechsler‐Zimring, A., & Kearney, C. A. (2011). Posttraumatic stress and related symptoms among neglected and physically and sexually maltreated adolescents. Journal of Traumatic Stress, 24(5), 601-604. doi:10.1002/jts.20683 White, R., & Renk, K. (2012). Externalizing behavior problems during adolescence: An ecological perspective. Journal of Child and Family Studies, 21(1), 158-171. doi:10.1007/s10826-011-9459-y Wildeman, C., Emanuel, N., Leventhal, J. M., Putnam-Hornstein, E., Waldfogel, J., & Lee, H. (2014). The Prevalence of Confirmed Maltreatment Among US Children, 2004 to 2011. JAMA Pediatrics, 06520(8), 1–8. doi:10.1001/jamapediatrics.2014.410 114 Wilson, L. C., & Scarpa, A. (2014). Childhood abuse, perceived social support, and posttraumatic stress symptoms: A moderation model. Psychological Trauma: Theory, Research, Practice, and Policy, 6(5), 512–518. doi:10.1037/a0032635 Woodcock, R.W., McGrew, K.S, & Mather, N. (2004). Woodcock-Johnson III Tests of Achievement. Itasca, IL: Riverside Publishing Company. Woodruff, K., & Lee, B. (2011). Identifying and predicting problem behavior trajectories among pre-school children investigated for child abuse and neglect. Child Abuse and Neglect, 35(7), 491–503. doi:10.1016/j.chiabu.2011.03.007 115