A review of methods and instruments for assessing externalizing disorders

Reitman, David; Hummel, Regina M.; Franz, Diane Z.; Gross, Alan M.

doi:10.1016/s0272-7358(98)00003-8

Cited by 33 publications

(6 citation statements)

References 92 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The advantages of the clinical interview may be a function of both the probing questions it contains about perceptual, ideational and mood symptoms, as well as the clinical training of the rater. Consistent with this speculation, some earlier research on general clinical samples comparing the predictive power of structured diagnostic interviews with parent-reported behavior problems indicates that structured interviews have higher positive predictive power and greater validity (Wassenberg, Max, Koele, & Firme, 2004; Reitman, Hummel, Franz, & Gross, 1998). Also, it has been argued that while externalizing problems are more readily observable because the problem behaviors are directed toward others, internalizing problems are relatively poorly recognized by parents (Bird, Gould, & Staghezza, 1992; Sourander, Helstela, & Helenius, 1999).…”

Section: Discussionsupporting

confidence: 54%

Does a parent-report measure of behavioral problems enhance prediction of conversion to psychosis in clinical high-risk adolescents?

Simeonova

Attalla

Trotman

et al. 2011

Schizophrenia Research

View full text Add to dashboard Cite

Recent research on risk for psychosis has focused on youth who manifest subclinical signs that are often associated with the prodrome to psychosis. Standardized measures of prodromal symptoms have been shown to significantly enhance prediction of risk for conversion to an Axis I psychotic disorder. In the present study, a widely used parent-report measure of behavioral problems, the Child Behavior Checklist (CBCL) was administered to examine the clinical and diagnostic utility of the measure as an adjunctive screening instrument in the identification of at-risk youth. The CBCL, the Structured Interview for Prodromal Syndromes (SIPS), and other diagnostic measures were administered at baseline and at one year follow-up assessments to adolescents (n = 41) at clinical high-risk for the development of a psychotic disorder. Analyses were conducted to compare the 14 at-risk adolescents who subsequently converted to psychosis to the 27 who did not. Conversion to psychosis was defined as conversion to an Axis I psychotic disorder or affective disorder with psychotic features. Consistent with expectations, at one year follow-up, compared to the Non-Converted participants, the Converted participants manifested significantly higher scores on the prodromal symptom scales of the SIPS. There were, however, no differences in CBCL social and behavioral ratings as a function of conversion status. It is concluded that the CBCL does not show promise as an alternative or adjunctive predictor of conversion to psychosis in at-risk adolescents.

show abstract

Section: Discussionsupporting

confidence: 54%

Does a parent-report measure of behavioral problems enhance prediction of conversion to psychosis in clinical high-risk adolescents?

Simeonova

Attalla

Trotman

et al. 2011

Schizophrenia Research

View full text Add to dashboard Cite

show abstract

“…Different multi-dimensional rating scales have been developed for detecting adolescents with behavioral abnormalities [11,12], and the ones that have been most frequently used include the Achenbach System of Empirically Based Assessment [13], Conners' Comprehensive Behavior Rating Scales [14], Behavioral Assessment System for Children [15], and the Revised Behavior Problem Checklist [16]. These tools are however unsuitable for large-scale screening since they are time-consuming and susceptible to non-response due to their many sensitive questions.…”

Section: Introductionmentioning

confidence: 99%

Developing a predictive tool for psychological well-being among Chinese adolescents in the presence of missing data

Lynn

Tsang²

2011

BMC Med Res Methodol

View full text Add to dashboard Cite

BackgroundMulti-dimensional behavioral rating scales like the CBCL and YSR are available for diagnosing psychosocial maladjustment in adolescents, but these are unsuitable for large-scale usage since they are time-consuming and their many sensitive questions often lead to missing data. This research applies multiple imputation to tackle the effects of missing data in order to develop a simple questionnaire-based predictive instrument for psychosocial maladjustment.MethodsQuestionnaires from 2919 Chinese sixth graders in 21 schools were collected, but 86% of the students were missing one or more of the variables for analysis. Fifteen (10 training, 5 validation) samples were imputed using multivariate imputation chain equations. A ten-variable instrument was constructed by applying stepwise variable selection algorithms to the training samples, and its predictive performance was evaluated on the validation samples.ResultsThe instrument had an AUC of 0.75 (95% CI: 0.73 to 0.78) and a calibration slope of 0.98 (95% CI: 0.86 to 1.09). The prevalence of psychosocial maladjustment was 18%. If a score of > 1 was used to define a negative test, then 80% of the students would be classified as negative. The resulting test had a diagnostic odds ratio of 5.64 (95% CI: 4.39 to 7.24), with negative and positive predictive values of 88% and 43%, and negative and positive likelihood ratios of 0.61 and 3.41, respectively.ConclusionsMultiple imputation together with internal validation provided a simple method for deriving a predictive instrument in the presence of missing data. The instrument's high negative predictive value implies that in populations with similar prevalences of psychosocial maladjustment test-negative students can be confidently excluded as being normal, thus saving 80% of the resources for confirmatory psychological testing.

show abstract

“…However, this is only true when recording procedures are consistent, when coders are well-trained, and when the observation systems have a wellvalidated coding scheme. Furthermore, in order to establish clinical utility, observation systems need the ability to characterize clinical versus nonclinical samples (Reitman, Hummel, Franz, & Gross, 1998). Thus, well-validated assessment techniques utilizing observation of parent-child interactions can play a critical role in research and in the implementation of PMT programs (Pearl, 2009).…”

mentioning

confidence: 99%

Psychometric Properties of the Dyadic Parent-Child Interaction Coding System in The Netherlands

Abrahamse

Niec

Solomon

et al. 2019

Child & Family Behavior Therapy

View full text Add to dashboard Cite

The current study explored the psychometric properties of a parent-child interaction observation system, the Dyadic Parent-Child Interaction Coding System (DPICS) in the Netherlands. Participants included 31 Dutch mother-child dyads and 86 U.S. mother-child dyads for a community sample (2-7 years; 50% boys). Good one-week test-retest reliability was demonstrated among the Dutch sample. Similarities were found between Dutch and U.S. samples on most interaction codes, but mothers in the U.S. sample used more directive behaviors (e.g., commands) in some situations. Findings suggest that the DPICS is a reliable measure of mother-child interactions in the Dutch population. Cultural issues regarding the use of the DPICS are discussed.

show abstract

A review of methods and instruments for assessing externalizing disorders

Cited by 33 publications

References 92 publications

Does a parent-report measure of behavioral problems enhance prediction of conversion to psychosis in clinical high-risk adolescents?

Does a parent-report measure of behavioral problems enhance prediction of conversion to psychosis in clinical high-risk adolescents?

Developing a predictive tool for psychological well-being among Chinese adolescents in the presence of missing data

Psychometric Properties of the Dyadic Parent-Child Interaction Coding System in The Netherlands

Contact Info

Product

Resources

About