Informant discrepancy defines discrete, clinically useful autism spectrum disorder subgroups

Advancing equity in access to school mental health through multiple informant decision-making

There has been a substantial increase in the number of students with mental health needs, yet significant discrepancies exist in access to timely intervention. Traditional gatekeeping to intervention has been the provenance of single information sources. Multi-informant decision-making is a promising mechanism to improve equitable access. However, critical advancements are necessary to improve decision-making relating to (a) who is identified, (b) what type of need is determined, (c) the type of intervention necessary, and (d) where or under what circumstances to implement the intervention. We review critical components of effective mental health decision-making, contributors to inequities in school mental health services, and offer future directions for research and practice to increase equitable student outcomes.

Probing heterogeneity to identify individualized treatment approaches in autism: Specific clusters of executive function challenges link to distinct co-occurring mental health problems

LAY ABSTRACT

Many autistic people struggle with mental health problems like anxiety, depression, inattention, and aggression, which can be challenging to treat. Executive function challenges, which impact many autistic individuals, may serve as a risk factor for mental health problems or make treating mental health conditions more difficult. While some people respond well to medication or therapy, others do not. This study tried to understand if there are different subgroups of autistic young people who may have similar patterns of executive function strengths and challenges-like flexibility, planning, self-monitoring, and emotion regulation. Then, we investigated whether executive function subgroups were related to mental health problems in autistic youth. We found three different types of executive function subgroups in autistic youth, each with different patterns of mental health problems. This helps us identify specific profiles of executive function strengths and challenges that may be helpful with identifying personalized supports, services, and treatment strategies for mental health conditions.

Theory of Mind and Social Informant Discrepancy in Autism

When autistic youth are asked to assess their own social skills, they frequently rate themselves more favorably than their parents rate them. The magnitude of this informant discrepancy has been shown to relate to key clinical outcomes such as treatment response. It has been proposed that this discrepancy arises from difficulties with Theory of Mind. Participants were 167 youth 11 to 17 years old; 72% male, and their parents. Youth completed self-report measures of social skills and social cognitive tasks, while their parents completed questionnaires regarding social skills. A repeated-measures ANOVA indicated both non-autistic and autistic youth rated themselves more favorably than their parents rated them across all measures. Zero-order correlations revealed that raw differences between parent- and participant-report were negatively correlated with scores on parent-reported Theory of Mind measures. However, polynomial analysis did not indicate interaction effects between parent- and participant-report on any of the measures used. Polynomial regression revealed that increases in parent-reported social skill predicted larger increases in parent-report Theory of Mind at low levels of parent-reported social skill compared to high levels of parent-reported social skill. Participant-report social skills predicted performance on a behavioral Theory of Mind test in a curvilinear fashion, such that the relationship was positive at low levels of participant-reported social skills, but negative at high levels. This study replicates the finding that raw difference score analyses may result in illusory effects that are not supported when using more contemporary analysis methods, and that more complex and subtle relationships between social insight and perspective-taking exist within autistic youth.

What I see, what you say: How cross-method variation sharpens characterization of irritability in early childhood

OBJECTIVES

Identification of clinically significant irritability in preschool age is important to implement effective interventions. However, varying informant and measurement methods display distinct patterns. These patterns are associated with concurrent and future mental health concerns. Patterns across multi-informant methods in early-childhood irritability may have clinical utility, identifying risk for impaired psychosocial functioning.

METHODS

Using data from the Multidimensional Assessment of Preschoolers Study (N = 425), latent profile analysis identified irritability patterns through the parent-reported Multidimensional Assessment Profile Scales-Temper Loss (MAPS-TL), parent-reported interviewer-rated Preschool Age Psychiatric Assessment (PAPA), and observer-rated Disruptive Behavior Diagnostic Observation Schedule (DB-DOS). These profiles were characterized on protective factors, global functioning, and mental health syndromes, concurrently and at early school age and preadolescent follow-up.

RESULTS

Fit indices favored a five-class model: Low All, High Observation with Examiner (high DB-DOS Examiner Context), High All, High Parent Report (high MAPS-TL/PAPA), and Very High Parent Report (very high MAPS-TL/PAPA). Whereas Low All and High Observation with Examiner exhibited strong psychosocial functioning, remaining profiles showed impaired psychosocial functioning, with the Very High Parent Report group showing higher impairment at follow-ups, ds = 0.37-1.25.

CONCLUSIONS

Multi-informant measurements of irritability may have utility for clinical prediction, and future studies should test utility for diagnostic precision.

Examining the Process and Impact of Social Problem Solving in Autistic Children

Social problem solving (SPS) represents a social cognitive reasoning process that gives way to behavior when individuals are navigating challenging social situations. Autistic individuals have been shown to struggle with specific aspects of SPS, which, in turn, has been related to social difficulties in children. However, no previous work has measured how SPS components not only relate to one another but also discretely and conjointly predict autism-related symptoms and social difficulties in autistic children, specifically. Fifty-eight autistic children (44 male; 6-10 years old, Mage=8.67, SDage=1.31) completed a self-administered, computerized assessment of SPS. To elucidate how SPS components discretely, and combined, contribute to autism-related symptoms and social difficulties, commonality analyses were conducted for each measure assessing autism-related symptoms and social difficulties. Socially normative problem identification, goal preference, and solution preference were related to fewer parent-reported autism-related social difficulties. Measures related to autism symptomatology, social perspective taking, and emotion recognition were not significantly associated with discrete SPS components in this sample. The problem identification aspect of SPS contributed the most unique variance to parent-reported autism-related social difficulties, while shared variance across all SPS components accounted for substantial variance in both parent-reported autism-related social difficulties models. Results suggest that SPS components are interrelated, but distinct, constructs in the autistic population. These findings not only further clarify the impact of SPS components on autism-related symptoms and social difficulties, but also have implications for refining SPS-focused interventions in the autistic population.

Mother-child reporting discrepancies of child physical abuse: Associations with internalizing and externalizing symptoms

BACKGROUND

Mother-child discrepancies frequently occur in reports of child physical abuse. Such report discrepancies raise important challenges for interpreting and integrating data from multiple informants in forensic and clinical settings.

OBJECTIVES

The main goal of this study was to identify patterns of mother-child discrepancies in reporting CPA using latent profile analysis. We then tested differences between profiles on mothers' mental health problems and children's internalizing and externalizing symptoms.

PARTICIPANTS AND SETTING

Participants were 159 mother-child dyads with police-documented exposure to intimate partner violence.

METHOD

Participants were recruited from Child Protective Services and shelter residences from all regions of Portugal. After obtaining informed consent, assessment protocols were administered separately to mothers and children.

RESULTS

We identified two convergent profiles (mother-child agreement on reports of both high and low exposure to CPA) and one divergent profile (the child reported significantly higher exposure to CPA than the mother). Mothers from the divergent profile reported more depressive and post-traumatic stress symptoms than mothers from the convergent profiles. Children of the divergent profile and one of the convergent profiles (mother-child agreement on high exposure to CPA) showed the highest internalizing and externalizing symptoms.

CONCLUSIONS

These results illustrate how examining informant discrepancies in the assessment of abusive parenting practices increases our understanding of children's psychological adjustment in high-risk contexts.

Language Skill Differences Further Distinguish Social Sub-types in Children with Autism

This study investigated heterogeneity in language skills of children with autism and their relationship with different autistic social subtypes. Data from 90 autistic and 30 typically developing children were analyzed. Results showed that autistic social subtypes varied in language skill problems (aloof > passive > active-but-odd). There was a negative association between aloof dimension scores and language performance but positive for the active-but-odd dimension and no association in the passive one. Moreover, aloof dimension score was the main contributor to language performance. A receiver operating characteristic analysis suggested language vocabulary as an additional component in differentiating autistic social subtypes. These findings demonstrate that variations in language skills in autistic children provide additional information for discriminating their social subtype.

Mental health challenges faced by autistic people

Mental health challenges impede the well-being of autistic people. This Review outlines contributing neurodevelopmental and physical health conditions, rates and developmental trajectories of mental health challenges experienced by autistic people, as well as unique clinical presentations. A framework is proposed to consider four contributing themes to aid personalized formulation: social-contextual determinants, adverse life experiences, autistic cognitive features, and shared genetic and early environmental predispositions. Current evidence-based and clinical-knowledge-informed intervention guidance and ongoing development of support are highlighted for specific mental health areas. Tailored mental health support for autistic people should be neurodivergence-informed, which is fundamentally humanistic and compatible with the prevailing bio-psycho-social frameworks. The personalized formulation should be holistic, considering physical health and transdiagnostic neurodevelopmental factors, intellectual and communication abilities, and contextual-experiential determinants and their interplay with autistic cognition and biology, alongside resilience. Supporting family well-being is integral. Mutual empathic understanding is fundamental to creating societies in which people across neurotypes are all empowered to thrive.

Social Knowledge & Performance in Autism: A Critical Review & Recommendations

Autistic social challenges have long been assumed to arise from a lack of social knowledge ("not knowing what to do"), which has undergirded theory and practice in assessment, treatment, and education. However, emerging evidence suggests these differences may be better accounted for by difficulties with social performance ("doing what they may know"). This distinction has important implications for research, practice, policy, and community support of autistic people. This review examines the theoretical and clinical implications and empirical status of the knowledge-performance distinction in autism. Current evidence suggests that social knowledge deficits are neither definitional nor reliably related to outcomes in autism. Prioritizing social knowledge, then, may produce unanticipated, problematic consequences in terms of accuracy of assessment, intervention effectiveness, and promotion of stigma. It may also yield unrealistic expectations around the value of knowledge for autistic people and their families, yielding important ethical considerations. Conversely, recent evidence highlights performance-related factors as being especially promising for better modeling and addressing social challenges in autism. Prioritizing performance, then, may offer new directions for assessment, substantially different intervention opportunities, and novel methods of inclusion and affirmation. This review touches upon each of these domains and implications, integrates these developments with broader models of social competence in youth, and provides direction for future research and practice regarding social competence in autism.

Seeking contexts that promote neurodiverse social success: Patterns of behavior during minimally-structured interaction settings in autistic and non-autistic youth

While peer interaction differences are considered a central feature of autism, little is known regarding the nature of these interactions via directly-observed measurement of naturalistic (i.e., minimally-structured) groups of autistic and non-autistic adolescent peers. 148 autistic and non-autistic adolescents (111 male, Mage = 14.22, SDage = 1.90; MIQ = 103.22, SDIQ = 15.80) participated in a 50-minute, minimally-structured, naturalistic peer interaction paradigm with activities of varying social demands: an incidental social demand (eating in a room with peers), a physical social demand (playing a physically-interactive game), and a verbal social demand (playing a verbal game). While autistic youth exhibited fewer overall interaction behaviors than non-autistic youth, the two groups did not differ in amount of positive, negative, and low-level interaction behaviors. Within activities, autistic and non-autistic youth only differed in positive interaction behaviors during the context of a verbal social demand. Youth who displayed more positive interaction behaviors during this same activity had less autism spectrum disorder symptomatology, controlling for nested group effects and relevant covariates. These results point toward subtle differences in social demands across naturalistic settings that can either support or impede prosocial interaction for autistic youth, providing a guidepost for identifying settings that best promote social success for neurodiverse populations.

Parent-youth convergence (and divergence) in reports about pediatric quality of life

PURPOSE

Researchers and service providers typically assess pediatric Health-Related Quality of Life (HRQOL) by collecting independent reports from parents and youth. An emerging body of work indicates that patterns of parent-youth reports yield information germane to understanding youth outcomes. We identified patterns of HRQOL among youth and their parents seeking mental health treatment and examined links between agreement patterns and mental and physical health functioning.

METHODS

Participants included 227 youth (mean age = 14.40 years, SD = 2.42; 63% female) and parent dyads presenting at a mood disorders clinic between 2013 and 2020. We assessed HRQOL using parallel youth and parent forms of the Pediatric Quality of Life Inventory Generic Core Scales. We also assessed youth clinical correlates of depression, suicidal ideation, and impairment, as well as health information via electronic health record (e.g., psychotropic medication usage, BMI).

RESULTS

Latent class analysis showed three parent-youth reporting patterns: Low-Low (LL), High-High (HH), and Parent Low-Youth High (PL-YH). Relative to youth in the HH group, youth in the LL and PL-YH groups reported significantly greater depressive symptoms and had higher rates of suicidal ideation and psychotropic medication use. In addition, youth in the LL group reported significantly greater levels of impairment.

CONCLUSIONS

Parent-youth patterns of HRQOL reporting can reveal clinically meaningful information and indicate poorer functioning for certain groups (LL, PL-YH) of youth. These findings have implications for improving accuracy of risk assessments that leverage HRQOL data.

The Operations Triad Model and Youth Mental Health Assessments: Catalyzing a Paradigm Shift in Measurement Validation

Researchers strategically assess youth mental health by soliciting reports from multiple informants. Typically, these informants (e.g., parents, teachers, youth themselves) vary in the social contexts where they observe youth. Decades of research reveal that the most common data conditions produced with this approach consist of discrepancies across informants' reports (i.e., informant discrepancies). Researchers should arguably treat these informant discrepancies as domain-relevant information: data relevant to understanding youth mental health domains (e.g., anxiety, depression, aggression). Yet, historically, in youth mental health research as in many other research areas, one set of paradigms has guided interpretations of informant discrepancies: Converging Operations and the Multi-Trait Multi-Method Matrix (MTMM). These paradigms (a) emphasize shared or common variance observed in multivariate data, and (b) inspire research practices that treat unique variance (i.e., informant discrepancies) as measurement confounds, namely random error and/or rater biases. Several yearsw ago, the Operations Triad Model emerged to address a conceptual problem that Converging Operations does not address: Some informant discrepancies might reflect measurement confounds, whereas others reflect domain-relevant information. However, addressing this problem requires more than a conceptual paradigm shift beyond Converging Operations. This problem necessitates a paradigm shift in measurement validation. We advance a paradigm (Classifying Observations Necessitates Theory, Epistemology, and Testing [CONTEXT]) that addresses problems with using the MTMM in youth mental health research. CONTEXT optimizes measurement validity by guiding researchers to leverage (a) informants that produce domain-relevant informant discrepancies, (b) analytic procedures that retain domain-relevant informant discrepancies, and (c) study designs that facilitate detecting domain-relevant informant discrepancies.

Shared Decision-Making as a Tool for Navigating Multi-Stakeholder Discrepancies in Youth Psychotherapy

OBJECTIVE

Discrepancies among the key stakeholders in youth psychotherapy (e.g., caregivers, youths) commonly present an obstacle to treatment planning, forcing clinicians to align with one perspective over another and increasing the likelihood of a treatment plan that is not fully responsive to divergent opinions. At the same time, multi-stakeholder discrepancies can also offer opportunities to build an inclusive, effective treatment plan, guided by the integration of numerous sources of domain-specific knowledge related to the concerns for which families seek clinical care.

METHOD

We aim to: 1) investigate the degree to which multi-stakeholder discrepancies are observed when youths and caregivers are invited to report their treatment priorities, rather than the presence and severity of youth symptoms, 2) describe the rationale for, as well as the promise and challenges of, shared decision-making (SDM)-an approach designed to facilitate multi-stakeholder collaboration during treatment planning, 3) provide a case example illustrating how a clinician, youth, and caregiver could use SDM to navigate discrepancies and identify therapy targets, and 4) propose future directions for exploring the potential value of SDM in youth psychotherapy.

RESULTS

Different levels of multi-stakeholder agreement were observed when caregivers and youths were asked to identify their treatment priorities, compared to youth symptom presence and severity, revealing nuances in multi-stakeholder agreement in youth psychotherapy.

CONCLUSIONS

Multi-stakeholder discrepancies can inform treatment planning processes, and SDM may be an effective approach for navigating them and building a treatment plan that integrates the perspective of all stakeholders in youth psychotherapy.

Introduction to the Special Issue. A Dozen Years of Demonstrating That Informant Discrepancies are More Than Measurement Error: Toward Guidelines for Integrating Data from Multi-Informant Assessments of Youth Mental Health

Validly characterizing youth mental health phenomena requires evidence-based approaches to assessment. An evidence-based assessment cannot rely on a "gold standard" instrument but rather, batteries of instruments. These batteries include multiple modalities of instrumentation (e.g., surveys, interviews, performance-based tasks, physiological readings, structured clinical observations). Among these instruments are those that require soliciting reports from multiple informants: People who provide psychometrically sound data about youth mental health (e.g., parents, teachers, youth themselves). The January 2011 issue of the Journal of Clinical Child and Adolescent Psychology (JCCAP) included a Special Section devoted to the most common outcome of multi-informant assessments of youth mental health, namely discrepancies across informants' reports (i.e., informant discrepancies). The 2011 JCCAP Special Section revolved around a critical question: Might informant discrepancies contain data relevant to understanding youth mental health (i.e., domain-relevant information)? This Special Issue is a "sequel" to the 2011 Special Section. Since 2011, an accumulating body of work indicates that informant discrepancies often contain domain-relevant information. Ultimately, we designed this Special Issue to lay the conceptual, methodological, and empirical foundations of guidelines for integrating multi-informant data when informant discrepancies contain domain-relevant information. In this introduction to the Special Issue, we briefly review the last 12 years of research and theory on informant discrepancies. This review highlights limitations inherent to the most commonly used strategies for integrating multi-informant data in youth mental health. We also describe contributions to the Special Issue, including articles about informant discrepancies that traverse multiple content areas (e.g., autism, implementation science, measurement validation, suicide).

Future Directions in Understanding and Interpreting Discrepant Reports of Suicidal Thoughts and Behaviors Among Youth

Both the quality and utility of youth suicide research depend on how we assess our outcomes of interest: suicidal thoughts and behaviors (STBs). We now have access to more STB assessments than ever before, with measures for youth that vary in what exact experiences are asked about, how such measures elicit information, when and how frequently measures are administered, and who the informants are. This growing armamentarium of assessments has the potential to improve the study and treatment of STBs among youth, but it hinges on meaningful interpretation of assessment responses. Interpretation can be especially challenging when different STB assessments yield conflicting information. Determining how to manage discrepant reports of STBs is a pivotal step toward achieving meaningfully comprehensive STB assessment batteries. Here, we outline several discrepant reporting patterns that have been detected, discuss the potential significance of these observed discrepancies, and present initial steps to formally investigate discrepant reports of STBs among youth. Developing coherent, interpretable, and comprehensive batteries assessing STBs among youth would address a fundamental step to uncovering etiology, improving clinical decision-making and case management, informing intervention development, and tracking prognosis.

The Importance of Parent-Teacher Informant Discrepancy in Characterizing Autistic Youth: A Replication Latent Profile Analysis

OBJECTIVE

Research about autism spectrum disorder (ASD) supports variation in symptom presentations across settings, and there is a growing literature that explicates how this variability may improve characterization of the autism phenotype. Capitalizing on a well-established literature on informant discrepancy as an index of contextual variability, research suggests that differing parent and teacher perceptions may impact treatment or education-related outcomes. A prior investigation by Lerner and colleagues suggests that parent-teacher discrepancies in ASD symptom ratings define discrete and clinically meaningful subgroups. However, replication in a larger sample is important to support the validity and utility of the subgroups for use in research and practice.

METHOD

The present paper used latent profile analysis (LPA) to (1) replicate the previous study by Lerner and colleagues in a larger sample of 514 clinic-referred autistic youth (aged 6-18, 83.2% male, 90.4% White, IQ 19-140) and (2) determine if parent-teacher informant discrepancies relate to clinical and functional correlates. We hypothesized that parent-teacher discrepancies in ASD symptom severity ratings would validly characterize ASD subgroups and predict clinical and functional correlates.

RESULTS

The results of the LPA supported a 4-profile solution made up of two parent-teacher agreement groups (high parent-teacher, 21.2%, and low parent-teacher, 34.2%) and two parent-teacher discrepancy groups (high parent-low teacher, 18.1%, and moderate parent-high teacher, 26.5%), replicating findings from Lerner and colleagues. Latent profile membership differentially predicted IQ, age, and educational outcomes of participants.

CONCLUSIONS

Unique, clinically useful information about the taxonomy and impact of ASD is obtained by considering informant discrepancies in symptom severity ratings, which underscores the importance of considering contextual variability assessed through multiple informants.

Exercise improves the social and behavioral skills of children and adolescent with autism spectrum disorders

Background

Currently, there is no standard treatment for Autism Spectrum Disorders (ASD), but there are many ways to minimize the symptoms and maximize abilities. Some studies suggest that exercise and other physical activities with children with ASD may be beneficial. In this study, we hypothesized that a physical exercise program (48-week exercise-intervention) could improve symptomatology dyad among children and adolescents with ASD. Our main aim was to examine the effects of physical activity on the primary clinical symptoms and associated comorbidities in children and adolescents with ASD.

Methods

We allocated 229 children with ASD, ranging in age from 2.3-17.3 years (M = 7.8, SD = 3.2), into three groups: (a) exercise- intervention group, (b) control group from the same institution, and (c) control group from another institution. The exercise program was performed at moderate intensity in a 30 min section twice a week for 48 weeks. We used Bayesian multilevel regression modeling to examine participant outcomes and responses to the exercise-intervention.

Results

Our results showed that a 48-week exercise-intervention substantially decreased ASD social interaction problems, attention deficit, emotional reactivity, stereotypical verbal and motor behavior, and sleep disturbances. However, physical exercise did not affect eye contact and food selectivity. We also observed that ASD severity and socioeconomic status influence eye contact, attention deficit, and sleep disturbance responses.

Conclusion

In conclusion, children and adolescents with ASD exposed to a 48-week physical exercise-intervention program had important improvements in ASD symptoms. This study highlights that structured exercise programs can be a powerful complementary therapy for the ASD population.

Conceptual, methodological, and measurement factors that disqualify use of measurement invariance techniques to detect informant discrepancies in youth mental health assessments

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.

Integrating multi-informant reports of youth mental health: A construct validation test of Kraemer and colleagues’ (2003) Satellite Model

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.

Whose Outcomes Come Out? Patterns of Caregiver- and Youth-reported Outcomes Based on Caregiver-youth Baseline Discrepancies

OBJECTIVE

Discrepancies between caregiver and youth reports of emotional and behavioral symptoms are well-documented, with cross-informant correlations often falling in the low to moderate range. Studies have shown that caregiver-youth (dis)agreement in reporting of youth symptoms is related to treatment outcomes. However, commonly used methods for exploring reporter discrepancies (e.g., difference scores) are limited by their inability to assess discrepancies across multiple symptom domains simultaneously, and thus these previous findings do not explore multiple patterns of (dis)agreement.

METHOD

We used latent profile analysis (LPA) to identify subgroups of clinically referred youths based on patterns of caregiver- and youth-reported internalizing and externalizing symptoms for 174 caregiver-youth dyads. Longitudinal multilevel models were used to examine changes in weekly caregiver- and youth-reported internalizing symptoms, externalizing symptoms, and top problems for identified subgroups.

RESULTS

The LPA identified four latent subgroups: (a) Caregiver Internalizing (9%), (b) Caregiver Internalizing-Externalizing (45%), (c) Youth Internalizing (7%), and (d) Caregiver-Youth Internalizing-Externalizing (39%). Clinical outcomes varied across informants and subgroups. Significant improvements in caregiver- and youth-reported outcome measures were documented within the Caregiver Internalizing, Caregiver Internalizing-Externalizing, and Caregiver-Youth Internalizing-Externalizing subgroups. However, only youth-reported improvements were detected in the Youth Internalizing subgroup. The results show differences in treatment outcomes across caregiver-youth informant subgroups.

CONCLUSIONS

These findings suggest how youth and caregiver baseline data could provide guidance for clinicians in interpreting discrepant reporting and its relevance to change during treatment.

Determinants of the evolutions of behaviours, school adjustment and quality of life in autistic children in an adapted school setting: an exploratory study with the International Classification of Functioning, disability and health (ICF)

BACKGROUND

Previous studies about Quality of Life (QoL) in autistic children (ASD) have put forward the negative impact of factors such as Autism Spectrum Disorder (ASD) severity, psychiatric comorbidities and adaptive behaviour impairment. However, little is known about the relation of these factors to school adjustment, measured with the International Classification of Functions disability and health (ICF) framework (World Health Organization, 2001), and QoL evolutions. Thus, this study aimed at investigating the determinants of behaviours, school adjustment and QoL changes in 32 children in an ASD inclusion program over one academic year.

METHODS

Using Bayesian methods, we studied the impact of ASD severity, psychiatric comorbidities, adaptive behaviour level and a diagnosis of Pathological Demand Avoidance (PDA) on evolutions of behaviour, school adjustment (measured with the ICF) and QoL.

RESULTS

As predicted, adequate adaptive behaviour levels were associated with better progress of behaviours and school adjustment whereas psychiatric comorbidities were related to worse outcome of school adjustment. Contrary to our hypotheses, severe ASD was associated to better evolution of adjustment at school. PDA was not discriminant. We did not find any association between the studied factors and the evolution of QoL over the academic year.

CONCLUSION

Our results show that the assessment of adaptive behaviour levels, psychiatric comorbidities and ASD severity level may be useful predictors to discriminate of school adjustment evolution (assessed by teachers within the ICF model) over a one-year period in autistic children. The assessment of this time course of school adjustment was sensitive to change and adapted to differentiate evolutions in an inclusive education framework. The investigation of quality of school life of autistic children as well as its determinants may therefore be relevant to improving academic adaptation. However, further research in larger groups, over longer periods and in different personalized school settings for autistic children is needed.

Adding the missing voice: How self-report of autistic youth self-report on an executive functioning rating scale compares to parent report and that of youth with attention deficit hyperactivity disorder or neurotypical development

LAY ABSTRACT

Executive functions are often impaired in autistic people and relate to important outcomes such as mental health, success in school and work, and quality of life. Evaluating executive functions helps autistic people, clinicians, and families identify targets for external supports and skill building. Youth self-report of executive function has not been studied, yet we know that self-report from autistic youth is key to understanding other cognitive/behavioral phenomena in autism such as anxiety, obsessions/compulsions, sensory sensitivities, and repetitive behaviors. We investigated self- and parent-report of executive function problems in 197 autistic youth without intellectual disability (ages 11-18 years), including the magnitude and profiles of executive function problems autistic youth report across subdomains of executive function. We compared autistic self-report with that of 114 youth with attention deficit hyperactivity disorder without intellectual disability and 197 neurotypical youth. We found that autistic youth report significant executive function problems compared to neurotypical youth and a distinctive profile of challenges in comparison to attention deficit hyperactivity disorder youth. Parents and their autistic children diverged regarding the magnitude of the youth's executive function difficulties, but both identify inflexibility as the most impaired executive function subdomain. Autistic youth and their parents were somewhat more concordant in their report of executive function problems than youth with attention deficit hyperactivity disorder and their parents, but only showed moderate concordance at best. These findings elevate the importance of asking autistic youth directly about their executive functioning when engaging them in assessment and intervention, or researching executive functions in autism.

Multi-informant reports of depressive symptoms and suicidal ideation among adolescent inpatients

OBJECTIVE

Suicide is a leading cause of death among adolescents, and suicidal thoughts represent key predictors to suicidal behavior. Yet, suicidal thoughts can be challenging to accurately assess. Symptoms that commonly co-occur with suicidal thoughts, such as depressive symptoms, may provide valuable information for predicting these thoughts. Although clinicians commonly collect multi-informant reports about adolescent depressive symptoms, these reports often yield discrepant findings as individual predictors of adolescents' suicidal thoughts.

METHOD

We tested the ability of specific patterns of multi-informant reports to predict adolescents' suicidal thoughts. Ninety adolescent inpatients and their parents (i.e., "dyads") reported on adolescent depressive symptoms, and adolescents completed self-report assessments of suicidal thoughts at baseline and three-month follow-up.

RESULTS

Dyads displayed variability in reporting patterns, and these patterns uniquely predicted suicidal thoughts. Adolescents reporting elevated depressive symptoms displayed increased concurrent suicidal thoughts relative to adolescents reporting subthreshold depressive symptoms, regardless of parent report. Yet, only adolescents who reported elevated depressive symptoms and whose parents reported subthreshold adolescent depressive symptoms displayed increased future suicidal thoughts.

CONCLUSIONS

Identifying patterns of multiple informants' reports about adolescent depressive symptoms may improve the prediction of suicidal thoughts. These findings have important implications for assessing adolescents at risk for suicide.

A Systematic Review of Passing as Non-autistic in Autism Spectrum Disorder

While long described in anecdotal accounts of the lived experiences of autistic individuals, the phenomenon of behaving in ways that appear inconsistent with the presence of autism (or passing as non-autistic; PAN) has recently seen a dramatic increase in scrutiny in the published scientific literature. Increased research attention has coincided with a proliferation of methods, definitions, measures, and population assumptions associated with PAN. To date, however, no review has sought to systematically identify and synthesize the literature on PAN. This systematic review reflects the state of the PAN literature as of May 2020. Ninety articles were screened, 66 were identified for evaluation, and 46 met inclusion criteria and were reliably coded for study characteristics and participant characteristics. Results reveal that the PAN literature includes a relatively even mix of qualitative, quantitative, and mixed-method studies, and that a variety of terms are used for PAN (with masking and camouflage being the most frequent). Sample sizes varied widely (from one to 832 participants), with 63.06% of participants being categorized as autistic. Nearly all studies reported methods for confirming autism diagnoses, with community and clinical diagnoses being most common. The majority of studies reported participant gender, with slightly more females included than males on average, but fewer than half of all studies compared PAN across genders. Nearly all studies reported participant age, demonstrating a wide range of 2 to 79 years, with a mean age of 23.85. Conversely, only 23.91% of studies provided participant race or ethnicity data. Nearly all studies formally or informally excluded participants with intellectual disability. Finally, measures of internalizing symptoms, which are often thought to be linked to PAN, were reported in only 17.4% of studies. Implications for gaps in understanding of PAN and future directions for the field are discussed.

Validation strategies for subtypes in psychiatry: A systematic review of research on autism spectrum disorder

Heterogeneity within autism spectrum disorder (ASD) is recognized as a challenge to both biological and psychological research, as well as clinical practice. To reduce unexplained heterogeneity, subtyping techniques are often used to establish more homogeneous subtypes based on metrics of similarity and dissimilarity between people. We review the ASD literature to create a systematic overview of the subtyping procedures and subtype validation techniques that are used in this field. We conducted a systematic review of 156 articles (2001-June 2020) that subtyped participants (range N of studies = 17-20,658), of which some or all had an ASD diagnosis. We found a large diversity in (parametric and non-parametric) methods and (biological, psychological, demographic) variables used to establish subtypes. The majority of studies validated their subtype results using variables that were measured concurrently, but were not included in the subtyping procedure. Other investigations into subtypes' validity were rarer. In order to advance clinical research and the theoretical and clinical usefulness of identified subtypes, we propose a structured approach and present the SUbtyping VAlidation Checklist (SUVAC), a checklist for validating subtyping results.

Assessing the Mental Health of Maltreated Youth with Child Welfare Involvement Using Multi-Informant Reports

Researchers often question the validity of multi-informant assessments among adolescents with child welfare involvement. Yet, within other clinical populations, prior research finds that multi-informant reports have a discernable structure characterized by discrete patterns of agreement and disagreement. This structure "tracks" contextual displays of behavior and clinical severity. We examined the structure of multi-informant reports (i.e., adolescent, caregiver, teacher) of adolescent externalizing and internalizing problems in a sample of adolescents with a history of child welfare involvement. Across problem domains and informants, reporting patterns mirrored those observed in other clinical populations, and displayed characteristics robustly present in meta-analytic work on cross-informant correspondence. Specifically, informants agreed more on reports of externalizing problems than internalizing problems and caregiver-teacher dyads agreed more than adolescent-caregiver dyads. Overall, we found robust, replicable patterns of multi-informant reports among child welfare involved adolescents. These reporting patterns may facilitate use and interpretation of multi-informant evidence-based assessments among this population.

Parent-Youth Divergence (and Convergence) in Reports of Youth Internalizing Problems in Psychiatric Inpatient Care

When compared to one another, multiple informants' reports of adolescent internalizing problems often reveal low convergence. This creates challenges in the delivery of clinical services, particularly for severe outcomes linked to internalizing problems, namely suicidal thoughts and behaviors. Clinicians would benefit from methods that facilitate interpretation of multi-informant reports, particularly in inpatient settings typified by high-cost care and high-stakes decision-making. 765 adolescent inpatients (70.3% female; M_age = 14.7) and their parents completed measures of adolescent internalizing problems. We obtained baseline clinical and treatment characteristics from electronic medical records. Latent class analysis revealed four reporting patterns: Parent-Adolescent Low (LL; 49.0%), Parent Low-Adolescent High (PL-AH; 11.5%), Parent High-Adolescent Low (PH-AL; 21.8%), Parent-Adolescent High (HH; 17.6%). Relative to the LL class, adolescents in the PH-AL and PL-AH classes were more likely to be admitted with suicidality. In terms of treatment characteristics and relative to the LL class, HH and PH-AL adolescents were more likely to receive standing antipsychotics, PH-AL adolescents were more likely to be in seclusion, and HH adolescents had longer hospital stays. At discharge and relative to the LL class, HH, PH-AL, and PL-AH adolescents were more likely to receive an anxiety disorder diagnosis. Further, HH, PH-AL, and PL-AH adolescents were more likely to receive partial hospitalization or care in another restrictive environment after inpatient treatment, relative to the LL class. This naturalistic study informs clinical decision-making by aiding our understanding of how multi-informant reports facilitate interpretations of adolescents' clinical presentations as well as predictions about treatment characteristics.

Atypical communication characteristics among clinic-referred youth with and without autism spectrum disorder: Stability and associations with clinical correlates

Atypical communication characteristics (ACCs), such as speech delay, odd pitch, and pragmatic difficulties, are common features of autism spectrum disorder (ASD) as are the symptoms of a wide range of psychiatric disorders. Using a simple retrospective method, this study aimed to better understand the relation and stability of ACCs with a broad range of psychiatric symptoms among large, well-characterized samples of clinic-referred children and adolescents with and without ASD. Youth with ASD had higher rates and a more variable pattern of developmental change in ACCs than the non-ASD diagnostic group. Latent class analysis yielded three ACC stability subgroups within ASD: Stable ACCs, Mostly Current-Only ACCs, and Little Professors. Subgroups exhibited differences in severity of ASD symptomatology, co-occurring psychiatric symptoms, and other correlates. Our findings provide support for the clinical utility of characterizing caregiver-perceived changes in ACCs in identifying children at risk for co-occurring psychopathology and other clinically relevant variables.

Parent-Child Concordance on the Pubertal Development Scale in Typically Developing and Autistic Youth

BACKGROUND

Characterizing puberty in autism spectrum disorder (ASD) is critical given the direct impacts of pubertal progression on neural, cognitive, and physical maturation. Limited information is available about the utility and parent-child concordance of the self-report and parent-report Pubertal Development Scale (PDS) in ASD, an economical and easily administered measure.

METHOD

The primary aim of this study was to examine the concordance between self-report and parent-report PDS ratings in autistic males and females ages 8-17y compared to typically developing (TD) youth, including using the PDS to derive informant-based estimates of adrenal and gonadal development. We hypothesized that there would be greater parent-youth discrepancies in pubertal ratings among autistic males. Our second aim was exploratory; we examined whether individual characteristics impact PDS concordance and hypothesized that lower intellectual and adaptive skills, higher autistic traits, and reduced self-awareness/monitoring would correlate with lower concordance.

RESULTS

There were no significant diagnostic group differences in parent-youth concordance for overall PDS scores among males and females. Autistic males had significantly lower inter-item agreement with their parents than TD males and had lower agreement for both adrenal and gonadal aspects of pubertal maturation (adrenal κ=.48; gonadal κ=.55).

CONCLUSIONS

The PDS is a feasible measure in ASD. Greater parent-youth discrepancies in autistic males may be due to reduced parental awareness or reduced insight into pubertal maturation among autistic males. Future research is needed to further elucidate individual and/or environmental characteristics that influence youth- and parent-reported PDS scores, including differences in self-perception and insight.

Data-driven identification of subtypes of executive function across typical development, attention deficit hyperactivity disorder, and autism spectrum disorders

BACKGROUND

Impairment of executive function (EF), the goal-directed regulation of thoughts, actions, and emotions, drives negative outcomes and is common across neurodevelopmental disorders including attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). A primary challenge to its amelioration is heterogeneity in symptom expression within and across disorders. Parsing this heterogeneity is necessary to attain diagnostic precision, a goal of the NIMH Research Domain Criteria Initiative. We aimed to identify transdiagnostic subtypes of EF that span the normal to impaired spectrum and establish their predictive and neurobiological validity.

METHODS

Community detection was applied to clinical parent-report measures in 8-14-year-old children with and without ADHD and ASD from two independent cohorts (discovery N = 320; replication N = 692) to identify subgroups with distinct behavioral profiles. Support vector machine (SVM) classification was used to predict subgroup membership of unseen cases. Preliminary neurobiological validation was obtained with existing functional magnetic resonance imaging (fMRI) data on a subsample (N = 84) by testing hypotheses about sensitivity of EF subgroups versus DSM categories.

RESULTS

We observed three transdiagnostic EF subtypes characterized by behavioral profiles that were defined by relative weakness in: (a) flexibility and emotion regulation; (b) inhibition; and (c) working memory, organization, and planning. The same tripartite structure was also present in the typically developing children. SVM trained on the discovery sample and tested on the replication sample classified subgroup membership with 77.0% accuracy. Split-half SVM classification on the combined sample (N = 1,012) yielded 88.9% accuracy (this SVM is available for public use). As hypothesized, frontal-parietal engagement was better distinguished by EF subtype than DSM diagnosis and the subgroup characterized with inflexibility failed to modulate right IPL activation in response to increased executive demands.

CONCLUSIONS

The observed transdiagnostic subtypes refine current diagnostic nosology and augment clinical decision-making for personalizing treatment of executive dysfunction in children.

Meta-Analysis of the RDoC Social Processing Domain across Units of Analysis in Children and Adolescents

OBJECTIVE

This meta-analysis advances a framework to understand correspondence among units of analysis of the social processing construct within Research Domain Criteria (RDoC).

METHOD

As requested for this special issue, eligible studies cited an RDoC-initiative paper or mentioned RDoC in the abstract, title, or keywords were empirical and peer reviewed, and described a correlation or regression analysis (r, β, or odds ratio) between two different units of analysis in the social processing domain in youth. We examined the frequency (descriptive statistics) and magnitude of correspondence between unit-pairs (random effects models), and predefined moderators (meta-regression).

RESULTS

Eight of the twenty-eight possible unit-by-unit pairs were identified, with subjective-by-behavior units being the most common. Of those, only subjective-by-circuit had significant correspondence between units. Moderator analysis revealed that the age and diagnosis of generalized anxiety disorder moderated correspondence between subjective-by-circuit units of analysis, and that a diagnosis of autism spectrum disorder moderated correspondence between subjective-by-gene units of analysis. Younger ages and inclusion of either diagnostic group reduced correspondence.

CONCLUSIONS

These findings indicate that the RDoC initiative has generated limited research within the social processing domain across units of analysis in youth to date. Moreover, National Institute of Mental Health (NIMH)-funded studies do not appear to be biased toward supporting the RDoC framework. However, the limited number of included studies precludes the generalizability of these findings and underscores the need for further research. Despite this, results suggest that the NIMH model for providing standard batteries of measurement tools may effectively reduce spurious correlations between subjective-by-behavior units of analysis.

A transdiagnostic model of psychiatric symptom co-occurrence and autism spectrum disorder

Understanding whether the co-occurrence of psychiatric symptoms within autism spectrum disorder (ASD) are specific to the ASD diagnosis or reflect similar higher-order patterns observed in both ASD and non-ASD samples, or a confluence of the two, is of critical importance. If similar, it would suggest that comorbid psychiatric conditions among individuals with ASD are not symptoms of specific, non-ASD psychiatric disorders per se, but reflect a general liability to psychopathology associated with ASD. To this end, the current study examined whether the higher-order structure of co-occurring psychiatric symptoms was the same within ASD and non-ASD youth. Parents of clinic-referred youth with (n = 280) and without (n = 943) ASD completed a DSM-IV-referenced psychiatric symptom rating scale. A confirmatory factor analytic framework was used to examine four levels of measurement invariance across groups to determine the extent to which transdiagnostic factors were comparable. Transdiagnostic factors were characterized by symptoms of the same disorders (configural invariance) and the same factor loadings across groups (metric invariance). Furthermore, both groups evidenced equivalent numbers of symptoms of most psychiatric conditions with the notable exceptions of attention deficit hyperactivity disorder (ADHD) and social anxiety (partial strong invariance), which were higher in the ASD sample. It was concluded that disparities in the co-occurrence of psychiatric symptoms between youth with and without ASD may be largely reflective of transdiagnostic factor level differences associated with ASD and not indicative of the ASD diagnosis per se. However, for ADHD and social anxiety, there appears to be some specific associations with the ASD diagnosis. Autism Res 2020, 13: 579-590. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Few transdiagnostic dimensions relate common mental disorder diagnoses with one another. These dimensions explain psychiatric comorbidity (i.e., the finding that many persons possess several disorder diagnoses simultaneously). However, it is unclear if these dimensions differ among children with autism spectrum disorder (ASD), compared with their non-ASD counterparts. The results of this study demonstrate that underlying transdiagnostic dimensions are similar in both ASD and non-ASD children. However, there appear to be ASD-specific differences when it comes to social anxiety and attention deficit hyperactivity disorder.

Variations in Parent and Teacher Ratings of Internalizing, Externalizing, Adaptive Skills, and Behavioral Symptoms in Children with Selective Mutism

Selective mutism (SM) is an anxiety disorder that impacts communication. Children with SM present concerns to parents and teachers as they consistently do not speak in situations where there is an expectation to speak, such as at school, but speak in other settings where they feel more comfortable, such as at home. The purpose of this study was to investigate the relationship between parents’ and teachers’ perceptions of children with SM on behavioral rating scales and language measures. Forty-two children (22 boys and 20 girls, ranging from 2.4 to 13.8 years, with a mean age of 7.1 years) took part in this study. Parents and teachers completed the Behavior Assessment System for Children (BASC-3) measuring internalizing behaviors, externalizing behaviors, adaptive skills, and behavioral symptoms. Frequency of speaking and language abilities were also measured. Parents and teachers both identified withdrawal as the most prominent feature of SM but parents saw children as significantly more withdrawn than did their teachers. Both rated children similarly at-risk on scales of functional communication and social skills. Higher adaptive skills (including functional communication and social skills) were positively correlated with vocabulary, narrative language, and auditory serial memory according to teachers. Parent and teacher rating scales provide valuable information for diagnosis and progress monitoring. Children with SM can benefit from mental health practitioners who can identify and enhance their emotional well-being.

Parent-Child Endorsement Discrepancies among Youth at Chronic-Risk for Depression

Depression is one of the most common mental health problems among U.S. adolescents, particularly among Latinos. Parent-child ratings of the presence and severity of child depressive symptoms show only low-to-moderate agreement. However, research has failed to examine discrepancies in populations with the highest levels of unmet need and little is known about patterns and predictors of parent-child agreement in ratings of depressive symptoms among ethnic minority families in community settings. Using a sample of 184 low-income, predominantly Latino, 5th through 7th grade students (63.6% female) at chronic risk for depression, this study utilized exploratory Latent Class Analysis (LCA) to uncover patterns of parent-child endorsement of core diagnostic depressive symptoms. Overall, children reported higher levels of core (i.e., depressed mood, anhedonia, irritability) and secondary (e.g., sleep disturbances) depressive symptoms relative to their parents. The three latent classes identified include a low endorsement and high agreement class (LH), high endorsement and high agreement class (HH), and high child endorsement and low agreement class (HCL). Multinomial regression models revealed that previous mental health service use and higher externalizing problems were associated with HH class membership, relative to HCL class membership. Findings provide evidence that a substantial number of children may have depressive symptoms that go undetected by their parents. Access to services among children at-risk for depression may be increased with psychoeducation to improve parental awareness and stigma reduction.

Informant discrepancies in assessments of psychosocial functioning in school-based services and research: Review and directions for future research

Psychosocial functioning plays a key role in students' wellbeing and performance inside and outside of school. As such, techniques designed to measure and improve psychosocial functioning factor prominently in school-based service delivery and research. Given that the different contexts (e.g., school, home, community) in which students exist vary in the degree to which they influence psychosocial functioning, educators and researchers often rely on multiple informants to characterize intervention targets, monitor intervention progress, and inform the selection of evidence-based services. These informants include teachers, students, and parents. Across research teams, domains, and measurement methodologies, researchers commonly observe discrepancies among informants' reports. We review theory and research-occurring largely outside of school-based service delivery and research-that demonstrates how patterns of informant discrepancies represent meaningful differences that can inform our understanding of psychosocial functioning. In turn, we advance a research agenda to improve use and interpretation of informant discrepancies in school-based services and research.

Improving Interpretability of Subjective Assessments About Psychological Phenomena: A Review and Cross-Cultural Meta-Analysis

Attempts to understand subjectivity have historically involved distinguishing the strengths of subjective methods (e.g., survey ratings from informants) from those of alternative methods (e.g., observational/performance-based tasks). Yet a movement is underway in Psychology that considers the merits of intersubjectivity: Understanding the space between two or more informant’s subjective impressions of a common person or phenomenon. In mental health research, understanding differences between subjective impressions have less to do with informants’ characteristics and more to do with the social environments or contexts germane to the people or phenomena examined. Our article focuses on one relatively understudied social environment: the cultural context. We draw from seminal work on psychological universals, as well as emerging work on cultural norms (i.e., cultural tightness) to understand intersubjectivity effects through a cross-cultural lens. We report a meta-analysis of 314 studies of intersubjectivity effects in mental health, revealing that (a) this work involves independent research teams in more than 30 countries, (b) informants rating a target person’s mental health (e.g., parent and teacher ratings of a child’s behavior) commonly provide diverging estimates of that person’s mental health, and (c) greater convergence between subjective reports relates to a “tighter” or more norms-bound culture. Our article illustrates strategies for understanding divergence between subjective reports. In particular, we highlight theoretical and methodological frameworks for examining patterns of divergence between subjective reports in relation to data from nonsubjective methods. We also describe how research on intersubjectivity informs efforts to improve the interpretability of subjective assessments in multiple subdisciplines in Psychology.

Autism severity, co-occurring psychopathology, and intellectual functioning predict supportive school services for youth with autism spectrum disorder

Supportive school services are a primary service modality for youth with autism spectrum disorder. Autism spectrum disorder, as well as co-occurring psychiatric symptoms and low intellectual abilities, interfere with academic achievement and therefore influence decisions about school services. Therefore, we examined the association of parent, teacher, and clinician ratings of autism spectrum disorder and co-occurring psychiatric symptom severity and intellectual functioning with school services. In total, 283 youth with autism spectrum disorder were assessed with clinical evaluation via the Autism Diagnostic Observation Schedule and parent and teacher versions of the CASI-4R ( Child and Adolescent Symptom Inventory). Full Scale Intelligence Quotient scores were obtained from case records. Clinical and teacher evaluations of autism spectrum disorder severity predicted services and were more strongly associated with school services than parent ratings. Teacher ratings were only associated with common school services (e.g. speech/language therapy, occupational therapy, and/or social skills training) frequency at medium and high levels of clinician-rated autism spectrum disorder severity. Higher IQ and parent-rated externalizing symptoms predicted lower likelihood of receiving school services, whereas internalizing symptoms were not predictive of school services. Autism spectrum disorder symptoms may overshadow externalizing and internalizing symptoms when considering school service supports. Results highlight the importance of evaluating autism spectrum disorder severity via multiple sources, especially in cases of unclear symptom presentation, when examining correlates of school services for youth with autism spectrum disorder.

The conundrums of human development - implications for the study of child and adolescent disorder

The conundrums inherent in the study of child and adolescent development are likely never far from the minds of the readers of JCPP. The complexity of development is flagged clearly in this issue. Included papers remind us that the link between associations (here maternal depression and child internalising problems) can change over short time periods. Even when the magnitude of associations stay consistent over time (here between the home environment and depression), there may be different aetiological processes underlying these links. Going forward, we should not lose sight of the significance of small changes in study designs, whether concerning the age range of participants, stipulated reporting periods and data analysis decisions (such as combining data from different age groups). The value of longitudinal data in addressing these questions remains paramount.