Kimberly L. Goodman

Bio: Kimberly L. Goodman is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Poison control & Medicine. The author has an hindex of 8, co-authored 12 publications receiving 727 citations.

Principles Underlying the Use of Multiple Informants' Reports

Abstract: Researchers use multiple informants' reports to assess and examine behavior. However, informants' reports commonly disagree. Informants' reports often disagree in their perceived levels of a behavior (“low” versus “elevated” mood), and examining multiple reports in a single study often results in inconsistent findings. Although researchers often espouse taking a multi-informant assessment approach, they frequently address informant discrepancies using techniques that treat discrepancies as measurement error. Yet, recent work indicates that researchers in a variety of fields often may be unable to justify treating informant discrepancies as measurement error. In this review, the authors advance a framework (Operations Triad Model) outlining general principles for using and interpreting informants' reports. Using the framework, researchers can test whether or not they can extract meaningful information about behavior from discrepancies among multiple informants' reports. The authors provide supportive evide...

The Longitudinal Consistency of Mother-Child Reporting Discrepancies of Parental Monitoring and Their Ability to Predict Child Delinquent Behaviors Two Years Later

Abstract: This study examined the longitudinal consistency of mother-child reporting discrepancies of parental monitoring and whether these discrepancies predict children's delinquent behaviors 2 years later. Participants included 335 mother/female-caregiver and child (46% boys, >90% African American; age range 9-16 years [M = 12.11, SD = 1.60]) dyads living in moderate-to-high violence areas. Mother-child discrepancies were internally consistent within multiple assessment points and across measures through a 2-year follow-up assessment. Further, mothers who at baseline consistently reported higher levels of parental monitoring relative to their child had children who reported greater levels of delinquent behaviors 2 years later, relative to mother-child dyads that did not evidence consistent discrepancies. This finding could not be accounted for by baseline levels of the child's delinquency, maternal and child emotional distress, or child demographic characteristics. This finding was not replicated when relying on the individual reports of parental monitoring to predict child delinquency, suggesting that mother-child reporting discrepancies provided information distinct from the absolute frequency of reports. Findings suggest that mother-child discrepancies in reports of parental monitoring can be employed as new individual differences measurements in developmental psychopathology research.

Understanding and Using Informants’ Reporting Discrepancies of Youth Victimization: A Conceptual Model and Recommendations for Research

Abstract: Discrepancies often occur among informants’ reports of various domains of child and family functioning and are particularly common between parent and child reports of youth violence exposure. However, recent work suggests that discrepancies between parent and child reports predict subsequent poorer child outcomes. We propose a preliminary conceptual model (Discrepancies in Victimization Implicate Developmental Effects [DiVIDE]) that considers how and why discrepancies between parents’ and youths’ ratings of child victimization may be related to poor adjustment outcomes. The model addresses how dyadic processes, such as the parent–youth relationship and youths’ information management, might contribute to discrepancies. We also consider coping processes that explain why discrepancies may predict increases in youth maladjustment. Based on this preliminary conceptual framework, we offer suggestions and future directions for researchers who encounter conflicting reports of community violence exposure and discuss why the proposed model is relevant to interventions for victimized youths.

Physiological correlates of peer victimization and aggression in African American urban adolescents

Abstract: This study examined physiological correlates (cortisol and α-amylase [AA]) of peer victimization and aggression in a sample of 228 adolescents (45% male, 55% female; 90% African American; M age = 14 years, SD = 1.6 years) who participated in a longitudinal study of stress, physiology, and adjustment. Adolescents were classified into victimization/aggression groups based on patterns with three waves of data. At Wave 3, youth completed the Social Competence Interview (SCI), and four saliva samples were collected prior to, during, and following the SCI. Repeated-measures analyses of variance with victimization/aggression group as the predictor, and physiological measures as outcomes, controlling for time of day, pubertal status, and medication use revealed significant Group × SCI Phase interactions for salivary AA (sAA), but not for cortisol. The results did not differ by sex. For analyses with physical victimization/aggression, aggressive and nonaggressive victims showed increases in sAA during the SCI, nonvictimized aggressors showed a decrease, and the normative contrast group did not show any change. For analyses with relational victimization/aggression, nonaggressive victims were the only group who demonstrated sAA reactivity. Incorporating physiological measures into peer victimization studies may give researchers and clinicians insight into youth's behavior regulation, and help shape prevention or intervention efforts.

Network Analysis: An Integrative Approach to the Structure of Psychopathology

Abstract: In network approaches to psychopathology, disorders result from the causal interplay between symptoms (e.g., worry → insomnia → fatigue), possibly involving feedback loops (e.g., a person may engage in substance abuse to forget the problems that arose due to substance abuse). The present review examines methodologies suited to identify such symptom networks and discusses network analysis techniques that may be used to extract clinically and scientifically useful information from such networks (e.g., which symptom is most central in a person's network). The authors also show how network analysis techniques may be used to construct simulation models that mimic symptom dynamics. Network approaches naturally explain the limited success of traditional research strategies, which are typically based on the idea that symptoms are manifestations of some common underlying factor, while offering promising methodological alternatives. In addition, these techniques may offer possibilities to guide and evaluate therape...

The validity of the multi-informant approach to assessing child and adolescent mental health.

Abstract: Child and adolescent patients may display mental health concerns within some contexts and not others (e.g., home vs. school). Thus, understanding the specific contexts in which patients display concerns may assist mental health professionals in tailoring treatments to patients' needs. Consequently, clinical assessments often include reports from multiple informants who vary in the contexts in which they observe patients' behavior (e.g., patients, parents, teachers). Previous meta-analyses indicate that informants' reports correlate at low-to-moderate magnitudes. However, is it valid to interpret low correspondence among reports as indicating that patients display concerns in some contexts and not others? We meta-analyzed 341 studies published between 1989 and 2014 that reported cross-informant correspondence estimates, and observed low-to-moderate correspondence (mean internalizing: r = .25; mean externalizing: r = .30; mean overall: r = .28). Informant pair, mental health domain, and measurement method moderated magnitudes of correspondence. These robust findings have informed the development of concepts for interpreting multi-informant assessments, allowing researchers to draw specific predictions about the incremental and construct validity of these assessments. In turn, we critically evaluated research on the incremental and construct validity of the multi-informant approach to clinical child and adolescent assessment. In so doing, we identify crucial gaps in knowledge for future research, and provide recommendations for "best practices" in using and interpreting multi-informant assessments in clinical work and research. This article has important implications for developing personalized approaches to clinical assessment, with the goal of informing techniques for tailoring treatments to target the specific contexts where patients display concerns. (PsycINFO Database Record

Group-Based Modeling of Development

Abstract: Find the secret to improve the quality of life by reading this group based modeling of development. This is a kind of book that you need now. Besides, it can be your favorite book to read after having this book. Do you ask why? Well, this is a book that has different characteristic with others. You may not need to know who the author is, how well-known the work is. As wise word, never judge the words from who speaks, but make the words as your good value to your life.

The Validity of the Multi-Informant Approach to Assessing Child and Adolescent Mental Health

Abstract: Child and adolescent patients may display mental health concerns within some contexts and not others (e.g., home vs. school). Thus, understanding the specific contexts in which patients display concerns may assist mental health professionals in tailoring treatments to patients’ needs. Consequently, clinical assessments often include reports from multiple informants who vary in the contexts in which they observe patients’ behavior (e.g., patients, parents, teachers). Previous meta-analyses indicate that informants’ reports correlate at low-to-moderate magnitudes. However, is it valid to interpret low correspondence among reports as indicating that patients display concerns in some contexts and not others? We meta-analyzed 341 studies published between 1989 and 2014 that reported cross-informant correspondence estimates, and observed low-to-moderate correspondence (mean internalizing: r = .25; mean externalizing: r = .30; mean overall: r = .28). Informant pair, mental health domain, and measurement method moderated magnitudes of correspondence. These robust findings have informed the development of concepts for interpreting multi-informant assessments, allowing researchers to draw specific predictions about the incremental and construct validity of these assessments. In turn, we critically evaluated research on the incremental and construct validity of the multi-informant approach to clinical child and adolescent assessment. In so doing, we identify crucial gaps in knowledge for future research, and provide recommendations for “best practices” in using and interpreting multi-informant assessments in clinical work and research. This article has important implications for developing personalized approaches to clinical assessment, with the goal of informing techniques for tailoring treatments to target the specific contexts where patients display concerns.

Coping, emotion regulation, and psychopathology in childhood and adolescence: A meta-analysis and narrative review

Abstract: In this meta-analytic and narrative review, we examine several overarching issues related to the study of coping, emotion regulation, and internalizing and externalizing symptoms of psychopathology in childhood and adolescence, including the conceptualization and measurement of these constructs. We report a quantitative meta-analysis of 212 studies (N = 80,850 participants) that measured the associations between coping and emotion regulation with symptoms of internalizing and externalizing psychopathology. Within the meta-analysis we address the association of broad domains of coping and emotion regulation (e.g., total coping, emotion regulation), intermediate factors of coping and emotion regulation (e.g., primary control coping, secondary control coping), and specific coping and emotion regulation strategies (e.g., emotional expression, cognitive reappraisal) with internalizing and externalizing symptoms. For cross-sectional studies, which made up the majority of studies included, we examine 3 potential moderators: age, measure quality, and single versus multiple informants. Finally, we separately consider findings from longitudinal studies as these provide stronger tests of the effects. After accounting for publication bias, findings indicate that the broad domain of emotion regulation and adaptive coping and the factors of primary control coping and secondary control coping are related to lower levels of symptoms of psychopathology. Further, the domain of maladaptive coping, the factor of disengagement coping, and the strategies of emotional suppression, avoidance, and denial are related to higher levels of symptoms of psychopathology. Finally, we offer a critique of the current state of the field and outline an agenda for future research. (PsycINFO Database Record