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Introduction: Behavioral inhibition is a temperamental factor that increases the risk of internalizing disorders. Therefore, the identification of highly inhibited children is of great importance. However, informant discrepancies make this process difficult. In a cluster analytic approach, we aimed to use both parent and teacher reports of behavioral inhibition in order to gain a more detailed picture about children's behavioral inhibition in different contexts and to characterize highly inhibited children. Methods: Parents and teachers of 318 preschool children completed a questionnaire, which included the Behavioral Inhibition Questionnaire (BIQ) and the Strengths and Difficulties Questionnaire (SDQ). Parents also reported their parenting behavior on the Multidimensional Assessment of Parenting Questionnaire (MAPS). A two-step cluster analysis was conducted on BIQ parent and teacher reports, and the resulting clusters were compared on the SDQ externalizing and internalizing subscales. Multinomial logistic regression analyses were conducted separately for girls and boys to predict cluster membership based on the MAPS hostility, lax control and physical control subscales. Results: Four clusters were identified, labelled as medium-low (ML), low-elevated (LE), elevated-elevated (EE) and high-high (HH), based on the levels of BIQ parent and teacher reports, respectively. In the HH cluster, mean scores of the SDQ internalizing subscales as reported by parents and teachers were significantly higher, and in boys but not in girls, mean scores of the SDQ externalizing subscale as reported by teachers were lower than in the other clusters. High levels of hostility predicted group membership of HH compared to LE and EE in both genders. Furthermore, in boys, lax control and physical control were also found to be significant when comparing HH to EE and LE, respectively. Discussion: Our results suggest that the joint use of parent and teacher reports on behavioral inhibition may increase the ability to identify highly inhibited children at risk of developing internalizing disorders and add to our understanding of the underpinnings of children's inhibited behavior in different contexts. [ABSTRACT FROM AUTHOR]

IntroductionBehavioral inhibition is a temperamental factor that increases the risk of internalizing disorders. Therefore, the identification of highly inhibited children is of great importance. However, informant discrepancies make this process difficult. In a cluster analytic approach, we aimed to use both parent and teacher reports of behavioral inhibition in order to gain a more detailed picture about children’s behavioral inhibition in different contexts and to characterize highly inhibited children.MethodsParents and teachers of 318 preschool children completed a questionnaire, which included the Behavioral Inhibition Questionnaire (BIQ) and the Strengths and Difficulties Questionnaire (SDQ). Parents also reported their parenting behavior on the Multidimensional Assessment of Parenting Questionnaire (MAPS). A two-step cluster analysis was conducted on BIQ parent and teacher reports, and the resulting clusters were compared on the SDQ externalizing and internalizing subscales. Multinomial logistic regression analyses were conducted separately for girls and boys to predict cluster membership based on the MAPS hostility, lax control and physical control subscales.ResultsFour clusters were identified, labelled as medium-low (ML), low-elevated (LE), elevated-elevated (EE) and high-high (HH), based on the levels of BIQ parent and teacher reports, respectively. In the HH cluster, mean scores of the SDQ internalizing subscales as reported by parents and teachers were significantly higher, and in boys but not in girls, mean scores of the SDQ externalizing subscale as reported by teachers were lower than in the other clusters. High levels of hostility predicted group membership of HH compared to LE and EE in both genders. Furthermore, in boys, lax control and physical control were also found to be significant when comparing HH to EE and LE, respectively.DiscussionOur results suggest that the joint use of parent and teacher reports on behavioral inhibition may increase the ability to identify highly inhibited children at risk of developing internalizing disorders and add to our understanding of the underpinnings of children’s inhibited behavior in different contexts.

Background: Internationally adopted children who suffered early institutionalization are at risk of a late onset of internalizing problems in adolescence. Both pre-adoption, adversity-related, and post-adoption factors predict variability in internalizing problems in this population. Previous studies have suggested different patterns of parentadolescent informant discrepancies in adoptive dyads. Method: We analyzed internalizing problems among 66 adolescents internationally adopted from Russia to Spanish families using both the parent- and self-report version of the Strengths and Difficulties Questionnaire and comparing them with a low-risk, community group (n = 30). We assessed pre-adoption and post-adoption factors and evaluated cross-informant discrepancies. Results: Internationally adopted adolescents exhibited more internalizing problems by parent-report than community adolescents, but there were no differences by self-report. Adopted youth showed no discrepancies between parent and self-report, whereas community adolescents reported more internalizing symptoms than their parents. Pre-adoption adversity-related factors predicted parent-reported internalizing problems, while post-adoption factors predicted self-reported internalizing problems. Conclusions: Parent-adolescent informant discrepancies in adopted adolescents from Eastern Europe for internalizing symptoms were lower than in community adolescents. Both adversity-related factors and the lived experience of adoption may influence the development of internalizing symptoms in internationally adopted adolescents. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Pediatric chronic pain evaluation includes self-reports and/or caregiver proxy-reports across biopsychosocial domains. Limited data exist on the effects of caregiver-child discrepancies in pediatric pain assessment. In children with chronic pain, we examined associations among discrepancies in caregiver-child reports of child anxiety and depressive symptoms and child functional impairment. METHODS: Participants were 202 children (Mage=14.49 ± 2.38 years; 68.8% female) with chronic pain and their caregivers (95.5% female). Children and caregivers completed the Revised Child Anxiety and Depression Scale (RCADS) and RCADS-Parent, respectively. Children also completed the Functional Disability Inventory. Mean difference tests examined caregiver-child discrepancies. Moderation analyses examined whether associations between child self-reported anxiety and depressive symptoms and functional impairment varied as a function of caregiver proxy-report. RESULTS: Children reported more anxiety and depressive symptoms compared with their caregivers proxy-reports (Z = -4.83, p < .001). Both informants reports of child anxiety and depressive symptoms were associated with child functional impairment (rs = .44, rs = .30, p < .001). Caregiver proxy-report moderated associations between child-reported anxiety and depressive symptoms and functional impairment (B = -0.007, p = .003). When caregiver proxy-report was low, child self-reported anxiety and depressive symptoms were positively related to functional impairment (B = 0.28, SE = 0.07, 95% CI [0.15, 0.41], p < .001). CONCLUSIONS: Discrepant caregiver-child perceptions of child anxiety and depressive symptoms may be associated with functioning in children with chronic pain, especially when caregivers report less child internalizing symptoms. These findings highlight the need for further examination of the effects of caregiver-child discrepancies on pediatric chronic pain outcomes and may indicate targets for intervention.

Objective: This study examined psychometric properties, parent-youth agreement, and factors associated with agreement on the 12-item and 36-item versions of the World Health Organization Disability Assessment Schedule (WHODAS) 2.0. Methods: Data come from a clinical sample of 56 youth, aged 14-17 years, receiving mental health care at a pediatric hospital. Correlations between the WHODAS 2.0, KIDSCREEN-27, and demographic variables were used to assess validity. Internal consistency was measured using ordinal alpha. The Bland-Altman method and intraclass correlation coefficients (ICC) were used to assess parent-youth agreement. Logistic regression examined factors associated with disagreement > 0.5 standard deviation. Results: For both parent and youth, correlations were low to moderate in exploring convergent (t= -0.42 to 0.01) and divergent validity (t/r = -0.12 to 0.32). Internal consistency was adequate (a > 0.7). Parent WHODAS 2.0 scores were significantly lower than youth scores and Bland-Altman plots revealed poor parent-youth agreement (ICC = -0.04 to 0.33). Lower household income was associated with lower odds of disagreement on the 35-item WHODAS 2.0 (OR= 0.28, 95% CI= 0.08-0.99), and older youth age was associated with lower odds of disagreement on the 12-item WHODAS 2.0 (OR= 0.40, 95% CI= 0.19-0.84). Conclusion: The psychometric properties of both WHODAS 2.0 versions were similar, so the abbreviated version may be sufficient to measure functional impairment in a clinical context. Additional research is needed to better understand the factors that influence discrepancies between informants and the implications for care. However, reports from both youth and parents appear valuable in understanding functional impairment. [ABSTRACT FROM AUTHOR]

On page 1 of his classic text, Millsap (2011) states, “Measurement invariance is built on the notion that a measuring device should function the same way across varied conditions, so long as those varied conditions are irrelevant [emphasis added] to the attribute being measured.” By construction, measurement invariance techniques require not only detecting varied conditions but also ruling out that these conditions inform our understanding of measured domains (i.e., conditions that do not contain domain-relevant information). In fact, measurement invariance techniques possess great utility when theory and research inform their application to specific, varied conditions (e.g., cultural, ethnic, or racial background of test respondents) that, if not detected, introduce measurement biases, and, thus, depress measurement validity (e.g., academic achievement and intelligence). Yet, we see emerging bodies of work where scholars have “put the cart before the horse” when it comes to measurement invariance, and they apply these techniques to varied conditions that, in fact, may reflect domain-relevant information. These bodies of work highlight a larger problem in measurement that likely cuts across many areas of scholarship. In one such area, youth mental health, researchers commonly encounter a set of conditions that nullify the use of measurement invariance, namely discrepancies between survey reports completed by multiple informants, such as parents, teachers, and youth themselves (i.e., informant discrepancies). In this paper, we provide an overview of conceptual, methodological, and measurement factors that should prevent researchers from applying measurement invariance techniques to detect informant discrepancies. Along the way, we cite evidence from the last 15 years indicating that informant discrepancies reflect domain-relevant information. We also apply this evidence to recent uses of measurement invariance techniques in youth mental health. Based on prior evidence, we highlight the implications of applying these techniques to multi-informant data, when the informant discrepancies observed within these data might reflect domain-relevant information. We close by calling for a moratorium on applying measurement invariance techniques to detect informant discrepancies in youth mental health assessments. In doing so, we describe how the state of the science would need to fundamentally “flip” to justify applying these techniques to detect informant discrepancies in this area of work. [ABSTRACT FROM AUTHOR]

Accurately assessing youth mental health involves obtaining reports from multiple informants who typically display low levels of correspondence. This low correspondence may reflect situational specificity. That is, youth vary as to where they display mental health concerns and informants vary as to where and from what perspective they observe youth. Despite the frequent need to understand and interpret these informant discrepancies, no consensus guidelines exist for integrating informants' reports. The path to building these guidelines starts with identifying factors that reliably predict the level and form of these informant discrepancies, and do so for theoretically and empirically relevant reasons. Yet, despite the knowledge of situational specificity, few approaches to integrating multi-informant data are well-equipped to account for these factors in measurement, and those that claim to be well-positioned to do so have undergone little empirical scrutiny. One promising approach was developed roughly 20 years ago by Kraemer and colleagues (2003). Their Satellite Model leverages principal components analysis (PCA) and strategic selection of informants to instantiate situational specificity in measurement, namely components reflecting variance attributable to the context in which informants observe behavior (e.g., home/non-home), the perspective from which they observe behavior (e.g., self/other), and behavior that manifests across contexts and perspectives (i.e., trait). The current study represents the first construct validation test of the Satellite Model. A mixedclinical/community sample of 134 adolescents and their parents completed six parallel surveys of adolescent mental health. Adolescents also participated in a series of simulated social interactions with research personnel trained to act as same-age, unfamiliar peers. A third informant (unfamiliar untrained observer) viewed these interactions and completed the same surveys as parents and adolescents. We applied the Satellite Model to each set of surveys and observed high internal consistency estimates for each of the six-item trait (α = 0.90), context (α = 0.84), and perspective (α = 0.83) components. Scores reflecting the trait, context, and perspective components displayed distinct patterns of relations to a battery of criterion variables that varied in the context, perspective, and source of measurement. The Satellite Model instantiates situational specificity in measurement and facilitates unifying conceptual and measurement models of youth mental health. [ABSTRACT FROM AUTHOR]

On page 1 of his classic text, Millsap (2011) states, “Measurement invariance is built on the notion that a measuring device should function the same way across varied conditions, so long as those varied conditions are irrelevant [emphasis added] to the attribute being measured.” By construction, measurement invariance techniques require not only detecting varied conditions but also ruling out that these conditions inform our understanding of measured domains (i.e., conditions that do not contain domain-relevant information). In fact, measurement invariance techniques possess great utility when theory and research inform their application to specific, varied conditions (e.g., cultural, ethnic, or racial background of test respondents) that, if not detected, introduce measurement biases, and, thus, depress measurement validity (e.g., academic achievement and intelligence). Yet, we see emerging bodies of work where scholars have “put the cart before the horse” when it comes to measurement invariance, and they apply these techniques to varied conditions that, in fact, may reflect domain-relevant information. These bodies of work highlight a larger problem in measurement that likely cuts across many areas of scholarship. In one such area, youth mental health, researchers commonly encounter a set of conditions that nullify the use of measurement invariance, namely discrepancies between survey reports completed by multiple informants, such as parents, teachers, and youth themselves (i.e., informant discrepancies). In this paper, we provide an overview of conceptual, methodological, and measurement factors that should prevent researchers from applying measurement invariance techniques to detect informant discrepancies. Along the way, we cite evidence from the last 15 years indicating that informant discrepancies reflect domain-relevant information. We also apply this evidence to recent uses of measurement invariance techniques in youth mental health. Based on prior evidence, we highlight the implications of applying these techniques to multi-informant data, when the informant discrepancies observed within these data might reflect domain-relevant information. We close by calling for a moratorium on applying measurement invariance techniques to detect informant discrepancies in youth mental health assessments. In doing so, we describe how the state of the science would need to fundamentally “flip” to justify applying these techniques to detect informant discrepancies in this area of work.

Accurately assessing youth mental health involves obtaining reports from multiple informants who typically display low levels of correspondence. This low correspondence may reflect situational specificity. That is, youth vary as to where they display mental health concerns and informants vary as to where and from what perspective they observe youth. Despite the frequent need to understand and interpret these informant discrepancies, no consensus guidelines exist for integrating informants’ reports. The path to building these guidelines starts with identifying factors that reliably predict the level and form of these informant discrepancies, and do so for theoretically and empirically relevant reasons. Yet, despite the knowledge of situational specificity, few approaches to integrating multi-informant data are well-equipped to account for these factors in measurement, and those that claim to be well-positioned to do so have undergone little empirical scrutiny. One promising approach was developed roughly 20 years ago by Kraemer and colleagues (2003). Their Satellite Model leverages principal components analysis (PCA) and strategic selection of informants to instantiate situational specificity in measurement, namely components reflecting variance attributable to the context in which informants observe behavior (e.g., home/non-home), the perspective from which they observe behavior (e.g., self/other), and behavior that manifests across contexts and perspectives (i.e., trait). The current study represents the first construct validation test of the Satellite Model. A mixed-clinical/community sample of 134 adolescents and their parents completed six parallel surveys of adolescent mental health. Adolescents also participated in a series of simulated social interactions with research personnel trained to act as same-age, unfamiliar peers. A third informant (unfamiliar untrained observer) viewed these interactions and completed the same surveys as parents and adolescents. We applied the Satellite Model to each set of surveys and observed high internal consistency estimates for each of the six-item trait (α = 0.90), context (α = 0.84), and perspective (α = 0.83) components. Scores reflecting the trait, context, and perspective components displayed distinct patterns of relations to a battery of criterion variables that varied in the context, perspective, and source of measurement. The Satellite Model instantiates situational specificity in measurement and facilitates unifying conceptual and measurement models of youth mental health.

Abstract Background This study investigates gender differences in self-reports and between parent and child reports in Health-related Quality of Life (HRQOL), measured with disease-specific and generic instruments for chronic disease. Comparison of HRQOL results in this Juvenile Idiopathic Arthritis (JIA) sample to a European cohort of children with JIA and one of children with other health conditions are also made. Methods Fifty-three children with juvenile idiopathic arthritis (JIA), aged 8–18 years, and their parents completed the condition-specific DISABKIDS for JIA, and the DISABKIDS generic instrument for chronic conditions (DCGM-37) in a cross-sectional study. European reference data were used for comparison of child and parental reports. Results Child self-reports in DCGM-37 and DISABKIDS for JIA showed no gender differences. Parental and child reports of the child’s HRQOL differed only in DCGM-37; this was among girls who scored their independence (p = 0.03), physical limitation (p = 0.01), social exclusion (p = 0.03), emotions (p

The use of multiple informants (e.g., caregivers and teachers) is recommended to obtain a comprehensive profile of children's social emotional development. Evidence to date indicates that only a small-to-moderate degree of convergence exists between different informants' assessments of children's social-emotional functioning, especially when the contexts of such informants' observations are also different. However, whether caregivers and teachers primarily disagree about children's dispositional emotional tendencies or situational emotional fluctuations remains unclear. In this study, we investigated the extent to which caregivers and teachers converged in their evaluation of children's dispositional and state sympathy (i.e., a relatively internal and low visibility emotional response of concern for another's wellbeing) in a nationally representative sample of Swiss children (N = 1,273) followed from 6 to 12 years of age. Using analyses based in latent state–trait theory, we found that caregivers and teachers showed moderate-to-large agreement (r = 0.510) at the dispositional, trait level of children's sympathy, but only a small level of agreement in their assessments of children's situational, state-like manifestations of sympathy (r = 0.123). These findings highlight the differential convergence of adults' ratings of one core dimension of children's social-emotional development, i.e., sympathy, at the dispositional and situational levels, and, relatedly the need to investigate the reasons behind discrepancies at both levels of analysis. We elaborate on practical implications for designing social-emotional screening tools across different informants and contexts.

Abstract: Assessments of child psychopathology are often derived from parental and teacher reports, yet there is substantial disagreement. This study utilized data from 7 European countries to examine parent–teacher agreement and possible explanatory factors for parent–teacher disagreement such as child and family characteristics, parenting dimensions, and maternal distress were explored. Parent–teacher agreement of the Strengths and Difficulties Questionnaire were assessed using a cross‐sectional survey of 4,894 school aged children 6–11 from the School Children Mental Health Europe Project. Parent–teacher agreement was low to moderate (Pearson correlation ranging from .24 (Prosocial) to .48 (Hyperactivity) for the 5 subscales across 7 countries); kappa coefficient ranged from .01 (Turkey) to .44 (Italy) for internalizing problems and .19(Romania) to .44(Italy) for externalizing problems. Child's gender and age, mother's employment status, single parent home, number of children in household, and selected parenting dimension were found to be explanatory of informant disagreement. This study not only serves to advance our understanding of parent–teacher agreement of the Strengths and Difficulties Questionnaire in 7 European countries but provides a novel approach to examining the factors that contribute to informant disagreement. [ABSTRACT FROM AUTHOR]

Background: This study investigates gender differences in self-reports and between parent and child reports in Healthrelated Quality of Life (HRQOL), measured with disease-specific and generic instruments for chronic disease. Comparison of HRQOL results in this Juvenile Idiopathic Arthritis (JIA) sample to a European cohort of children with JIA and one of children with other health conditions are also made. Methods: Fifty-three children with juvenile idiopathic arthritis (JIA), aged 8-18 years, and their parents completed the condition-specific DISABKIDS for JIA, and the DISABKIDS generic instrument for chronic conditions (DCGM-37) in a cross-sectional study. European reference data were used for comparison of child and parental reports. Results: Child self-reports in DCGM-37 and DISABKIDS for JIA showed no gender differences. Parental and child reports of the child's HRQOL differed only in DCGM-37; this was among girls who scored their independence (p = 0.03), physical limitation (p = 0.01), social exclusion (p = 0.03), emotions (p <0.01), and general transformed score (p <0.01) higher than did their parents. Our sample of children with JIA reported more physical limitation compared to samples of European children with JIA (p = 0.01), European children with chronic conditions (p < 0.01), and their parents (p = 0. 01 and p < 0.01). The Swedish children reported more problem with understanding compared to the European JIA sample (p = 0.03). Swedish parents perceived their children's independence significantly lower than did the European parents of JIA children (p < 0.01), as well as European parents of children with chronic conditions (p = 0.03). The Swedish parents also perceived their children to have significantly lower social inclusion (p < 0.05) and general transformed score (p = 0.04), in comparison to European parents of children with chronic conditions. Conclusions: Parent-child differences in assessment of quality of life depend on the HRQOL instrument used, especially among girls. In comparison to European cohorts, our sample of children with JIA experienced more physical limitations and less understanding. [ABSTRACT FROM AUTHOR]

Objective: Greater discrepancies between parent and adolescent reports of parenting behaviors are associated with poorer adolescent functioning. The present research aims to build from the existing literature by examining unique parent and adolescent perceptions of parental monitoring and distinct sources of parental knowledge (i.e, parental solicitation, parental control, child disclosure) and their association with adolescent cannabis and alcohol use and disorder symptoms using cross-sectional data., Method: Parent-adolescent dyads ( N = 132) were recruited from the community and the family court system. Adolescents were ages 12 to 18 (40.2% female; 68.2% White, 18.2% Hispanic). Parents and adolescents completed a questionnaire assessing the four domains of parenting behaviors. Adolescents' substance-use behaviors and related disorder symptoms were assessed via adolescent self-report and semi-structured interviews., Results: Parental ratings of distinct parenting behaviors were higher (more favorable) than their child's reports, as shown in prior studies. Parent-reported parenting behaviors were uniquely related to cannabis use, over and above adolescent reports and the adolescent's age. With regard to report discrepancies, interactive effects of parent and adolescent perceptions of parental control were not statistically significant in our analysis after correcting for multiple tests., Conclusions: While most research relating parental monitoring to adolescent cannabis use relies solely on adolescent perceptions, our study suggests a unique role of parent perceptions for cannabis use and disorder symptoms, respectively. Findings support the importance of considering unique parent and adolescent perceptions of what parents know, as well as how they know it, to understand early cannabis use and problem development., Competing Interests: We have no conflict of interest to disclose.