The reliability and validity of traditional taxonomies are limited by arbitrary boundaries between psychopathology and normality, often unclear boundaries between disorders, frequent disorder co-occurrence, heterogeneity within disorders, and diagnostic instability. These taxonomies went beyond evidence available on the structure of psychopathology and were shaped by a variety of other considerations, which may explain the aforementioned shortcomings. The Hierarchical Taxonomy Of Psychopathology (HiTOP) model has emerged as a research effort to address these problems. It constructs psychopathological syndromes and their components/subtypes based on the observed covariation of symptoms, grouping related symptoms together and thus reducing heterogeneity. It also combines co-occurring syndromes into spectra, thereby mapping out comorbidity. Moreover, it characterizes these phenomena dimensionally, which addresses boundary problems and diagnostic instability. Here, we review the development of the HiTOP and the relevant evidence. The new classification already covers most forms of psychopathology. Dimensional measures have been developed to assess many of the identified components, syndromes, and spectra. Several domains of this model are ready for clinical and research applications. The HiTOP promises to improve research and clinical practice by addressing the aforementioned shortcomings of traditional nosologies. It also provides an effective way to summarize and convey information on risk factors, etiology, pathophysiology, phenomenology, illness course, and treatment response. This can greatly improve the utility of the diagnosis of mental disorders. The new classification remains a work in progress. However, it is developing rapidly and is poised to advance mental health research and care significantly as the relevant science matures.

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Shortcomings of approaches to classifying psychopathology based on expert consensus have given rise to contemporary efforts to classify psychopathology quantitatively. In this paper, we review progress in achieving a quantitative and empirical classification of psychopathology. A substantial empirical literature indicates that psychopathology is generally more dimensional than categorical. When the discreteness versus continuity of psychopathology is treated as a research question, as opposed to being decided as a matter of tradition, the evidence clearly supports the hypothesis of continuity. In addition, a related body of literature shows how psychopathology dimensions can be arranged in a hierarchy, ranging from very broad "spectrum level" dimensions, to specific and narrow clusters of symptoms. In this way, a quantitative approach solves the "problem of comorbidity" by explicitly modeling patterns of co-occurrence among signs and symptoms within a detailed and variegated hierarchy of dimensional concepts with direct clinical utility. Indeed, extensive evidence pertaining to the dimensional and hierarchical structure of psychopathology has led to the formation of the Hierarchical Taxonomy of Psychopathology (HiTOP) Consortium. This is a group of 70 investigators working together to study empirical classification of psychopathology. In this paper, we describe the aims and current foci of the HiTOP Consortium. These aims pertain to continued research on the empirical organization of psychopathology; the connection between personality and psychopathology; the utility of empirically based psychopathology constructs in both research and the clinic; and the development of novel and comprehensive models and corresponding assessment instruments for psychopathology constructs derived from an empirical approach.

T his study compared parents' ratings of behavioral and emotional problems on the Child Behavior Checklist (Achenbach, 1991;Achenbach & Rescorla, 2001) for general population samples of children ages 6 to 16 from 31 societies (N = 55,508). Effect sizes for society ranged from .03 to .14. Effect sizes for gender were ≤ .01, with girls generally scoring higher on Internalizing problems and boys generally scoring higher on Externalizing problems. Effect sizes for age were ≤ .01 and varied across types of problems.Total Problems scores for 19 of 31 societies were within 1 SD of the overall mean of 22.5. Bisociety correlations for mean item scores averaged .74. The findings indicate that parents' reports of children's problems were similar in many ways across highly diverse societies. Nonetheless, effect sizes for society were larger than those for gender and age,indicating the need to take account of multicultural variations in parents' reports of children's problems.Children of immigrant parents constitute increasing proportions of populations served by mental health, educational, medical, and welfare systems in many societies. In addition, assessment of needs for child mental health services is a significant public health goal around the world. To meet these challenges for assessment of behavioral and emotional problems in diverse societies, there is a need for instruments that are easily administered, scored, and interpreted by a wide range of practitioners and researchers and that demonstrate multicultural robustness. Multicultural robustness is established through systematic research demonstrating that an instrument performs similarly across many societies in terms of features such as reliability, internal consistency, factor structure, scale scores, and associations of scores with age and gender (Geisinger, 1994).In the early stages of multicultural research, mental health specialists in a society often evaluate instruments developed in other societies for use in their own. If an instrument is in a foreign language, a translated version is created, and then an independent back-translation into the original language is done to verify that the translation captures the meaning of the original. Ideally, researchers then collect data using the instrument with a large general population sample. When data are available from many societies, they can be analyzed together to compare variations between societies and within societies. Establishing the multicultural robustness of an instrument is thus an incremental process using an etic approach to research, whereby the same standardized assessment instrument is used in different societies. This contrasts with an emic approach to research, whereby the meanings of the constructs under study are explored within each society.

There is a growing need for multicultural collaboration in child mental health services, training, and research. To facilitate such collaboration, this study tested the 8-syndrome structure of the Child Behavior Checklist (CBCL) in 30 societies. Parents' CBCL ratings of 58,051 6- to 18-year-olds were subjected to confirmatory factor analyses, which were conducted separately for each society. Societies represented Asia; Africa; Australia; the Caribbean; Eastern, Western, Southern, and Northern Europe; the Middle East; and North America. Fit indices strongly supported the correlated 8-syndrome structure in each of 30 societies. The results support use of the syndromes in diverse societies.