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This paper examined discrepancies between children's self-perceptions of the riskiness of alcohol use versus their perceptions of the riskiness of alcohol use for other children, and whether these discrepancies predicted children's future alcohol use. Participants included 234 children (M=11 years, 45.3% female) who completed baseline and one-year follow-up assessments on self-perceived riskiness of alcohol use, perceived riskiness of alcohol use for other same-age children, and own past year alcohol use. When considering child age and gender, baseline alcohol use, and the individual reports of the riskiness of alcohol use, the interaction between alcohol use riskiness reports prospectively predicted greater odds of alcohol use. The highest percentage of childhood alcohol use at one-year follow-up came from those children with both low self-perceived riskiness of alcohol use and high perceived riskiness of alcohol use for other children. Children's perceptions of multiple people's risk from alcohol use result in identifying important subgroups of children at risk for early-onset alcohol use.

This paper examined discrepancies between children's self-perceptions of the riskiness of alcohol use versus their perceptions of the riskiness of alcohol use for other children, and whether these discrepancies predicted children's future alcohol use. Participants included 234 children (M=11 years, 45.3% female) who completed baseline and one-year follow-up assessments on self-perceived riskiness of alcohol use, perceived riskiness of alcohol use for other same-age children, and own past year alcohol use. When considering child age and gender, baseline alcohol use, and the individual reports of the riskiness of alcohol use, the interaction between alcohol use riskiness reports prospectively predicted greater odds of alcohol use. The highest percentage of childhood alcohol use at one-year follow-up came from those children with both low self-perceived riskiness of alcohol use and high perceived riskiness of alcohol use for other children. Children's perceptions of multiple people's risk from alcohol use result in identifying important subgroups of children at risk for early-onset alcohol use.

Discrepancies between informants’ reports of children’s behavior are robustly observed in clinical child research and have important implications for interpreting the outcomes of controlled treatment trials. However, little is known about the basic psychometric properties of these discrepancies. This study examined the relation between parent-child reporting discrepancies on measures of child social phobia symptoms, administered before and after treatment for social phobia. Participants included a clinic sample of 81 children (7–16 years old [M=11.75, SD=2.57]; 39 girls, 42 boys) and their parents receiving treatment as part of a multisite controlled trial. Pretreatment parent-child reporting discrepancies predicted parent-child discrepancies at posttreatment, and these relations were not better accounted for by the severity of the child’s pretreatment primary diagnosis. Further, treatment responder status moderated this relation: Significant relations were identified for treatment non-responders and not for treatment responders. Overall, findings suggest that informant discrepancies can be reliably employed to measure individual differences over the course of controlled treatment trials. These data provide additional empirical support for recent work suggesting that informant discrepancies can meaningfully inform understanding of treatment response as well as variability in treatment outcomes.

Prior work has not tested the basic theoretical notion that informant discrepancies in reports of children’s behavior exist, in part, because different informants observe children’s behavior in different settings. We examined patterns of observed preschool disruptive behavior across varying social contexts in the laboratory and whether they related to parent-teacher rating discrepancies of disruptive behavior in a sample of 327 preschoolers. Observed disruptive behavior was assessed with a lab-based developmentally sensitive diagnostic observation paradigm that assesses disruptive behavior across three interactions with the child with parent and examiner. Latent class analysis identified four patterns of disruptive behavior: (a) low across parent and examiner contexts, (b) high with parent only, (c) high with examiner only, and (d) high with parent and examiner. Observed disruptive behavior specific to the parent and examiner contexts were uniquely related to parent-identified and teacher-identified disruptive behavior, respectively. Further, observed disruptive behavior across both parent and examiner contexts was associated with disruptive behavior as identified by both informants. Links between observed behavior and informant discrepancies were not explained by child impairment or observed problematic parenting. Findings provide the first laboratory-based support for the Attribution Bias Context Model (De Los Reyes and Kazdin Psychological Bulletin 131:483–509, 2005), which posits that informant discrepancies are indicative of crosscontextual variability in children’s behavior and informants’ perspectives on this behavior. These findings have important implications for clinical assessment, treatment outcomes, and developmental psychopathology research.

Prior work has not tested the basic theoretical notion that informant discrepancies in reports of children’s behavior exist, in part, because different informants observe children’s behavior in different settings. We examined patterns of observed preschool disruptive behavior across varying social contexts in the laboratory and whether they related to parent-teacher rating discrepancies of disruptive behavior in a sample of 327 preschoolers. Observed disruptive behavior was assessed with a lab-based developmentally sensitive diagnostic observation paradigm that assesses disruptive behavior across three interactions with the child with parent and examiner. Latent class analysis identified four patterns of disruptive behavior: (a) low across parent and examiner contexts, (b) high with parent only, (c) high with examiner only, and (d) high with parent and examiner. Observed disruptive behavior specific to the parent and examiner contexts were uniquely related to parent-identified and teacher-identified disruptive behavior, respectively. Further, observed disruptive behavior across both parent and examiner contexts was associated with disruptive behavior as identified by both informants. Links between observed behavior and informant discrepancies were not explained by child impairment or observed problematic parenting. Findings provide the first laboratory-based support for the Attribution Bias Context Model, which posits that informant discrepancies are indicative of cross-contextual variability in children’s behavior and informants’ perspectives on this behavior. These findings have important implications for clinical assessment, treatment outcomes, and developmental psychopathology research.

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.

Discrepancies between informants’ reports of children’s behavior are robustly observed in clinical child research and have important implications for interpreting the outcomes of controlled treatment trials. However, little is known about the basic psychometric properties of these discrepancies. This study examined the relation between parent-child reporting discrepancies on measures of child social phobia symptoms, administered before and after treatment for social phobia. Participants included a clinic sample of 81 children (7–16 years old [M=11.75, SD=2.57]; 39 girls, 42 boys) and their parents receiving treatment as part of a multisite controlled trial. Pretreatment parent-child reporting discrepancies predicted parent-child discrepancies at posttreatment, and these relations were not better accounted for by the severity of the child’s pretreatment primary diagnosis. Further, treatment responder status moderated this relation: Significant relations were identified for treatment non-responders and not for treatment responders. Overall, findings suggest that informant discrepancies can be reliably employed to measure individual differences over the course of controlled treatment trials. These data provide additional empirical support for recent work suggesting that informant discrepancies can meaningfully inform understanding of treatment response as well as variability in treatment outcomes.

Prior work has not tested the basic theoretical notion that informant discrepancies in reports of children’s behavior exist, in part, because different informants observe children’s behavior in different settings. We examined patterns of observed preschool disruptive behavior across varying social contexts in the laboratory and whether they related to parent-teacher rating discrepancies of disruptive behavior in a sample of 327 preschoolers. Observed disruptive behavior was assessed with a lab-based developmentally sensitive diagnostic observation paradigm that assesses disruptive behavior across three interactions with the child with parent and examiner. Latent class analysis identified four patterns of disruptive behavior: (a) low across parent and examiner contexts, (b) high with parent only, (c) high with examiner only, and (d) high with parent and examiner. Observed disruptive behavior specific to the parent and examiner contexts were uniquely related to parent-identified and teacher-identified disruptive behavior, respectively. Further, observed disruptive behavior across both parent and examiner contexts was associated with disruptive behavior as identified by both informants. Links between observed behavior and informant discrepancies were not explained by child impairment or observed problematic parenting. Findings provide the first laboratory-based support for the Attribution Bias Context Model (De Los Reyes and Kazdin Psychological Bulletin 131:483–509, 2005), which posits that informant discrepancies are indicative of crosscontextual variability in children’s behavior and informants’ perspectives on this behavior. These findings have important implications for clinical assessment, treatment outcomes, and developmental psychopathology research.

This study examined whether mothers’ and children’s depressive symptoms were each uniquely related to mother– child rating discrepancies on a multidimensional dyadic construct: domains associated with parental monitoring (i.e., Child Disclosure, Parental Knowledge, and Parental Solicitation). Participants included a community sample of 335 mother/female-caregiver and child dyads (182 girls, 153 boys; 9–16 years old). Children’s depressive symptoms were consistently related to each of the three domains of mother– child discrepancies. Mothers’ depressive symptoms were related to perceived discrepancies in two domains (Child Disclosure and Parental Knowledge). Furthermore, these relations could not be accounted for by other informant characteristics (maternal stress, child age, child gender, child ethnicity). Findings provide important empirical support for theory suggesting that both informants’ perspectives meaningfully contribute to their discrepancies in perceived behavior. Consideration of both informants’ perspectives leads to valuable information as to whether any particular characteristic is an important correlate of discrepancies.

Discrepancies among informants' ratings of child psychopathology have important implications for diagnosis, assessment, and treatment. Typically, parents and children complete measures (e.g., self-report checklists, diagnostic instruments) to assess child dysfunction. Ratings gathered from these sources reveal relatively little agreement on the nature and extent of the child's social, emotional, and behavioral problems. This article reviews and illustrates the most frequently used methods of measuring informant discrepancies in the clinical child literature (i.e., raw difference, standardized difference, and residual difference scores) and outlines key considerations to influence their selection. The authors conclude that frequently used methods of measuring informant discrepancies are not interchangeable and recommend that future investigations examining informant discrepancies in clinical child research use the standardized difference score as their measure of informant discrepancies. (PsycINFO Database Record (c) 2007 APA, all rights reserved)(from the journal abstract)