Efficiently measuring dimensions of the externalizing spectrum model: Development of the Externalizing Spectrum Inventory-Computerized Adaptive Test (ESI-CAT)

Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): II. Externalizing superspectrum

The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirical effort to address limitations of traditional mental disorder diagnoses. These include arbitrary boundaries between disorder and normality, disorder co-occurrence in the modal case, heterogeneity of presentation within dis-orders, and instability of diagnosis within patients. This paper reviews the evidence on the validity and utility of the disinhibited externalizing and antagonistic externalizing spectra of HiTOP, which together constitute a broad externalizing superspectrum. These spectra are composed of elements subsumed within a variety of mental disorders described in recent DSM nosologies, including most notably substance use disorders and "Cluster B" personality disorders. The externalizing superspectrum ranges from normative levels of impulse control and self-assertion, to maladaptive disinhibition and antagonism, to extensive polysubstance involvement and personality psychopathology. A rich literature supports the validity of the externalizing superspectrum, and the disinhibited and antagonistic spectra. This evidence encompasses common genetic influences, environmental risk factors, childhood antecedents, cognitive abnormalities, neural alterations, and treatment response. The structure of these validators mirrors the structure of the phenotypic externalizing superspectrum, with some correlates more specific to disinhibited or antagonistic spectra, and others relevant to the entire externalizing superspectrum, underlining the hierarchical structure of the domain. Compared with traditional diagnostic categories, the externalizing superspectrum conceptualization shows improved utility, reliability, explanatory capacity, and clinical applicability. The externalizing superspectrum is one aspect of the general approach to psychopathology offered by HiTOP and can make diagnostic classification more useful in both research and the clinic.

A detailed hierarchical model of psychopathology: From individual symptoms up to the general factor of psychopathology

Much of our knowledge about the relationships among domains of psychopathology is built on the diagnostic categories described in the Diagnostic and Statistical Manual of Mental Disorders (DSM), with relatively little research examining the symptom-level structure of psychopathology. The aim of this study was to delineate a detailed hierarchical model of psychopathology-from individual symptoms up to a general factor of psychopathology-allowing both higher- and lower-order dimensions to depart from the structure of the DSM. We explored the hierarchical structure of hundreds of symptoms spanning 18 DSM disorders, in two large samples-one from the general population in Australia (n = 3175), and the other a treatment-seeking clinical sample from the USA (n = 1775). There was marked convergence between the two samples, offering new perspectives on higher-order dimensions of psychopathology. We also found several noteworthy departures from the structure of the DSM in the symptom-level data.

Escala de Desesperanza de Beck (BHS): ventajas de una administración adaptativa

La escala de Desesperanza de Beck (BHS) es usada con frecuencia como screening para la detección de riesgo suicida y/o depresión aun cuando, por su extensión de 20 ítems, resulta poco eficiente. En este trabajo se analiza si una estrategia de administración adaptativa podría abreviar el tiempo de aplicación de la BHS. Participaron 783 individuos de población general (50.9% mujeres). Se seleccionó aleatoriamente un 70% de los casos para calibrar los ítems con el Modelo Logístico de 2 parámetros de la Teoría de Respuesta al Ítem. Se eliminaron dos elementos que presentaron funcionamiento inadecuado. El 30% restante de la muestra se utilizó para simular una administración adaptativa de los 18 ítems calibrados. Se compararon dos modalidades de interrupción: a) al administrar 9 ítems y b) al alcanzar un error de estimación ≤ 0.35 o administrar 9 ítems (criterio mixto). Bajo ambas condiciones se registraron correlaciones de .95 con el nivel de Desesperanza estimado a partir de los 18 ítems. No obstante, la interrupción basada en el criterio mixto no mostró un impacto adicional en la eficiencia de la medida. Al igual que la versión de 18 ítems, las aplicaciones adaptativas estimaron con más precisión los niveles elevados del rasgo. La medición adaptativa no afectó las evidencias de validez al estudiar la asociación del rasgo con facetas del Neuroticismo y dimensiones sintomatológicas. Se concluye que una administración adaptativa de 9 ítems puede abreviar considerablemente la BHS sin perjudicar la validez y confiabilidad de la medida.

Advances in applications of item response theory to clinical assessment

Item response theory (IRT) is moving to the forefront of methodologies used to develop, evaluate, and score clinical measures. Funding agencies and test developers are routinely supporting IRT work, and the theory has become closely tied to technological advances within the field. As a result, familiarity with IRT has grown increasingly relevant to mental health research and practice. But to what end? This article reviews advances in applications of IRT to clinical measurement in an effort to identify tangible improvements that can be attributed to the methodology. Although IRT shares similarities with classical test theory and factor analysis, the approach has certain practical benefits, but also limitations, when applied to measurement challenges. Major opportunities include the use of computerized adaptive tests to prevent conditional measurement error, multidimensional models to prevent misinterpretation of scores, and analyses of differential item functioning to prevent bias. Whereas these methods and technologies were once only discussed as future possibilities, they are now accessible because of recent support of IRT-focused clinical research. Despite this, much work still remains in widely disseminating methods and technologies from IRT into mental health research and practice. Clinicians have been reluctant to fully embrace the approach, especially in terms or prospective test development and adaptive item administration. Widespread use of IRT technologies will require continued cooperation among psychometricians, clinicians, and other stakeholders. There are also many opportunities to expand the methodology, especially with respect to integrating modern measurement theory with models from personality and cognitive psychology as well as neuroscience. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The Underlying Structure of Comorbid Mental Health and Substance Use Disorders in Prison Populations

BACKGROUND

High rates of mental disorders have been reported for prison populations. Understanding patterns of comorbidity may be essential for the development of adequate treatment interventions. The present study aimed to assess the underlying structure of comorbidity between mental health and substance use disorders in prison populations.

METHODS

Current mental disorders were assessed using the Mini-International Neuropsychiatric Interview in a cross-sectional observational study of 427 individuals consecutively committed to prison facilities in Santiago, Chile. Five alternative structural models were tested using confirmatory factor analysis (CFA). Latent class analysis of comorbid mental health and substance use disorders was carried out.

RESULTS

CFA indicated the best fit for a bifactor model with a general psychopathology P factor and specific internalizing and externalizing factors. Borderline personality disorder loaded highest on the P factor (0.85). The latent comorbidity structure showed a four-class solution representing one class without relevant comorbidities (48% prevalence) and three classes representing the following comorbidities: (1) externalizing disorders including substance use and antisocial personality disorder (31%), (2) internalizing disorders including anxiety disorders (10%), and (3) all types of disorders co-occurring (11%). Major depression and borderline personality disorder were present across all three latent classes of comorbidity.

CONCLUSIONS

Prison mental health services need to serve a highly comorbid population. Specific approaches may be useful for an externalizing and an internalizing spectrum of disorders. An important group of individuals with all types of mental disorders co-occurring may need new approaches in treatment development.

A computerized adaptive testing advancing the measurement of subjective well-being

This article aimed at developing an adaptive version of the subjective well-being (SWB) scale to measure a comprehensive concept of SWB among Chinese university students. Item response theory was employed to formulate the item bank of the SWB scale and computerized adaptive testing (CAT) for SWB (CAT-SWB), based on several commonly used SWB scales, after unidimensionality testing, model selection, local dependence testing, parameter estimation, item fit test and differential item functioning (DIF) analysis were performed. Finally, two CAT simulations using simulated-data and real-data were carried out to verify and evaluate the CAT-SWB. Results indicated that the proposed CAT-SWB had an excellent performance in that it largely reduces the number of test items and the length of test time without losing measurement precision.

Item usage in a multidimensional computerized adaptive test (MCAT) measuring health-related quality of life

Purpose

Examining item usage is an important step in evaluating the performance of a computerized adaptive test (CAT). We study item usage for a newly developed multidimensional CAT which draws items from three PROMIS domains, as well as a disease-specific one.

Methods

The multidimensional item bank used in the current study contained 194 items from four domains: the PROMIS domains fatigue, physical function, and ability to participate in social roles and activities, and a disease-specific domain (the COPD-SIB). The item bank was calibrated using the multidimensional graded response model and data of 795 patients with chronic obstructive pulmonary disease. To evaluate the item usage rates of all individual items in our item bank, CAT simulations were performed on responses generated based on a multivariate uniform distribution. The outcome variables included active bank size and item overuse (usage rate larger than the expected item usage rate).

Results

For average θ-values, the overall active bank size was 9–10%; this number quickly increased as θ-values became more extreme. For values of −2 and +2, the overall active bank size equaled 39–40%. There was 78% overlap between overused items and active bank size for average θ-values. For more extreme θ-values, the overused items made up a much smaller part of the active bank size: here the overlap was only 35%.

Conclusions

Our results strengthen the claim that relatively short item banks may suffice when using polytomous items (and no content constraints/exposure control mechanisms), especially when using MCAT.

Electronic supplementary material

The online version of this article (doi:10.1007/s11136-017-1624-3) contains supplementary material, which is available to authorized users.