The Revised Child Anxiety and Depression Scale-Short Version: Scale reduction via exploratory bifactor modeling of the broad anxiety factor.

Using a school-based (N = 1,060) and clinic-referred (N = 303) youth sample, the authors developed a 25-item shortened version of the Revised Child Anxiety and Depression Scale (RCADS) using Schmid-Leiman exploratory bifactor analysis to reduce client burden and administration time and thus improve the transportability characteristics of this youth anxiety and depression measure. Results revealed that all anxiety items primarily reflected a single “broad anxiety” dimension, which informed the development of a reduced 15-item Anxiety Total scale. Although specific DSM-oriented anxiety subscales were not included in this version, the items comprising the Anxiety Total scale were evenly pulled from the 5 anxiety-related content domains from the original RCADS. The resultant 15-item Anxiety Total scale evidenced significant correspondence with anxiety diagnostic groups based on structured clinical interviews. The scores from the 10-item Depression Total scale (retained from the original version) were also associated with acceptable reliability in the clinic-referred and school-based samples (α = .80 and .79, respectively); this is in contrast to the alternate 5-item shortened RCADS Depression Total scale previously developed by Muris, Meesters, and Schouten (2002), which evidenced depression scores of unacceptable reliability (α = .63). The shortened RCADS developed in the present study thus balances efficiency, breadth, and scale score reliability in a way that is potentially useful for repeated measurement in clinical settings as well as wide-scale screenings that assess anxiety and depressive problems. These future applications are discussed, as are recommendations for continued use of exploratory bifactor modeling in scale development.Psycholog

Concurrent Validity of the Child Behavior Checklist DSM-Oriented Scales: Correspondence with DSM Diagnoses and Comparison to Syndrome Scales

This study used receiver operating characteristic (ROC) methodology and discriminative analyses to examine the correspondence of the Child Behavior Checklist (CBCL) rationally-derived DSM-oriented scales and empirically-derived syndrome scales with clinical diagnoses in a clinic-referred sample of children and adolescents (N = 476). Although results demonstrated that the CBCL Anxiety, Affective, Attention Deficit/Hyperactivity, Oppositional and Conduct Problems DSM-oriented scales corresponded significantly with related clinical diagnoses derived from parent-based structured interviews, these DSM-oriented scales did not evidence significantly greater correspondence with clinical diagnoses than the syndrome scales in all cases but one. The DSM-oriented Anxiety Problems scale was the only scale that evidenced significantly greater correspondence with diagnoses above its syndrome scale counterpart —the Anxious/Depressed scale. The recently developed and rationally-derived DSM-oriented scales thus generally do not add incremental clinical utility above that already afforded by the syndrome scales with respect to corresponding with diagnoses. Implications of these findings are discussed

A Psychometric Analysis of the Revised Child Anxiety and Depression Scales—Parent Version in a School Sample

The Revised Child Anxiety and Depression Scale—Parent Version (RCADS-P) is a parent-report questionnaire of youth anxiety and depression with scales corresponding to the DSM diagnoses of separation anxiety disorder, social phobia, generalized anxiety disorder, panic disorder, obsessive-compulsive disorder, and major depressive disorder. The RCADS-P was recently developed and has previously demonstrated strong psychometric properties in a clinic-referred sample (Ebesutani et al., Journal of Abnormal Child Psychology 38, 249–260, 2010b). The present study examined the psychometric properties of the RCADS-P in a school-based population. As completed by parents of 967 children and adolescents, the RCADS-P demonstrated high internal consistency, test-retest reliability, and good convergent/divergent validity, supporting the RCADS-P as a measure of internalizing problems specific to depression and five anxiety disorders in school samples. Normative data are also reported to allow for the derivation of T-scores to enhance clinicians’ ability to make classification decisions using RCADS-P subscale scores

Proceedings of the 3rd Biennial Conference of the Society for Implementation Research Collaboration (SIRC) 2015: advancing efficient methodologies through community partnerships and team science

It is well documented that the majority of adults, children and families in need of evidence-based behavioral health interventionsi do not receive them [1, 2] and that few robust empirically supported methods for implementing evidence-based practices (EBPs) exist. The Society for Implementation Research Collaboration (SIRC) represents a burgeoning effort to advance the innovation and rigor of implementation research and is uniquely focused on bringing together researchers and stakeholders committed to evaluating the implementation of complex evidence-based behavioral health interventions. Through its diverse activities and membership, SIRC aims to foster the promise of implementation research to better serve the behavioral health needs of the population by identifying rigorous, relevant, and efficient strategies that successfully transfer scientific evidence to clinical knowledge for use in real world settings [3]. SIRC began as a National Institute of Mental Health (NIMH)-funded conference series in 2010 (previously titled the “Seattle Implementation Research Conference”; $150,000 USD for 3 conferences in 2011, 2013, and 2015) with the recognition that there were multiple researchers and stakeholdersi working in parallel on innovative implementation science projects in behavioral health, but that formal channels for communicating and collaborating with one another were relatively unavailable. There was a significant need for a forum within which implementation researchers and stakeholders could learn from one another, refine approaches to science and practice, and develop an implementation research agenda using common measures, methods, and research principles to improve both the frequency and quality with which behavioral health treatment implementation is evaluated. SIRC’s membership growth is a testament to this identified need with more than 1000 members from 2011 to the present.ii SIRC’s primary objectives are to: (1) foster communication and collaboration across diverse groups, including implementation researchers, intermediariesi, as well as community stakeholders (SIRC uses the term “EBP champions” for these groups) – and to do so across multiple career levels (e.g., students, early career faculty, established investigators); and (2) enhance and disseminate rigorous measures and methodologies for implementing EBPs and evaluating EBP implementation efforts. These objectives are well aligned with Glasgow and colleagues’ [4] five core tenets deemed critical for advancing implementation science: collaboration, efficiency and speed, rigor and relevance, improved capacity, and cumulative knowledge. SIRC advances these objectives and tenets through in-person conferences, which bring together multidisciplinary implementation researchers and those implementing evidence-based behavioral health interventions in the community to share their work and create professional connections and collaborations

Identifying Situational, Individual, and Demographic Determinants of Social Anxiety Using a Naive Bayesian Classification Algorithm

Social situations may play a role in the conceptualization and treatment of social anxiety disorder. However, situational variance is rarely examined and has not yet been directly compared to dispositional or demographic variance. We used situation-sampling methodology and naive Bayesian classification to determine the predictive power of situational features compared to individual and demographic variables. In Study 1, a sub-sample of 309 undergraduate students responded to random subsets of 680 situations to train a machine-learning algorithm that predicted whether a participant would endorse situational social anxiety. The predictions were then tested on the remaining participants in order to generate accuracy estimates. Situational variance alone improved accuracy by 21.39% (from 50%) whereas the addition of individual variance (+3.8%) and demographic information (-1.11%), did not add to the predictive accuracy. Situational features were rank-ordered by their likelihood ratios, and were grammatically edited to reflect the top, middle, and bottom features. In Study 2, a community sample of 211 people responded to these new situations and endorsement rate was compared to predictive accuracy estimations. We found consistent accuracy for high and middle social anxiety-provoking situations indicating that situational features may be particularly relevant when treating clients with higher levels of anxiety

The Spaic-11 And Spaicp-11: Two Brief Child- And Parent-Rated Measures Of Social Anxiety

The Social Phobia and Anxiety Inventory for Children-11 (SPAIC-11) and Social Phobia and Anxiety Inventory for Children\u27s Parents-11 (SPAICP-11) were developed as brief versions of the Social Phobia and Anxiety Inventory - Child and Parent Versions via item response theory (IRT) using child and parent reports of social anxiety. A sample of 496 children was analyzed using IRT analyses, revealing 11 items that exhibit measurement equivalence across parent and child reports. Descriptive and psychometric data are provided for the child, parent, and combined total scores. Discriminant validity was demonstrated using logistic regression and receiver operating characteristic curve analyses. The SPAIC-11 and SPAICP-11 are psychometrically sound measures that are able to measure social anxiety invariantly across children and their parents. These brief measures which include combined parent and child perception of the child\u27s social anxiety may provide notable benefits to clinical research

Revised Child Anxiety and Depression Scale: a Psychometric Examination in Chinese Youth

There remains a need for a disorder-specific inventory of children’s depression and anxiety that can reliably screen anxious and depressive disorder symptomatology in Chinese children. The Revised Child and Anxiety Depression Scale (RCADS) is a self-report questionnaire assessing anxiety and depression in children (Chorpita et al., 2000; Piqueras et al., 2017). This study sought to evaluate its psychometric properties in a Mainland Chinese sample. Students from the 4th to 11th grades (N = 1001) participated in this study. Each of the RCADS subscales, by age and sex, possessed reliability coefficients ranging between.63 and.81. Means and standard deviations for RCADS subscales calculated for the age and sex sub-samples were reported. Participants reported slightly lower levels on five subscales than for Chorpita et al. (2000) normative sample. The scales were significantly and strongly correlated with the Child Behavior Checklist (CBCL) subscales (somatic, withdrawal, anxiety) as well as CBCL internalizing scores. Fit statistics suggested marginal to adequate fit for the six-factor model for the Chinese youth. The present study provides foundational support for the psychometric properties of the RCADS in a large sample of Chinese youth yet indicates that factor structure might be improved through enhanced sampling of culturally relevant symptom expressions

A psychometric analysis of the Revised Child Anxiety and Depression Scales--parent version in a school sample.

The Revised Child Anxiety and Depression Scale-Parent Version (RCADS-P) is a parent-report questionnaire of youth anxiety and depression with scales corresponding to the DSM diagnoses of separation anxiety disorder, social phobia, generalized anxiety disorder, panic disorder, obsessive-compulsive disorder, and major depressive disorder. The RCADS-P was recently developed and has previously demonstrated strong psychometric properties in a clinic-referred sample (Ebesutani et al., Journal of Abnormal Child Psychology 38, 249-260, 2010b). The present study examined the psychometric properties of the RCADS-P in a school-based population. As completed by parents of 967 children and adolescents, the RCADS-P demonstrated high internal consistency, test-retest reliability, and good convergent/divergent validity, supporting the RCADS-P as a measure of internalizing problems specific to depression and five anxiety disorders in school samples. Normative data are also reported to allow for the derivation of T-scores to enhance clinicians' ability to make classification decisions using RCADS-P subscale scores