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Development of Measures for the Hierarchical Taxonomy of Psychopathology (HiTOP): A Collaborative Scale Development Project.
Simms, Leonard J; Wright, Aidan G C; Cicero, David; Kotov, Roman; Mullins-Sweatt, Stephanie N; Sellbom, Martin; Watson, David; Widiger, Thomas A; Zimmermann, Johannes.
Affiliation
  • Simms LJ; University at Buffalo, Buffalo, NY, USA.
  • Wright AGC; University of Pittsburgh, Pittsburgh, PA, USA.
  • Cicero D; University of North Texas, Denton, TX, USA.
  • Kotov R; Stony Brook University, Stony Brook, NY, USA.
  • Mullins-Sweatt SN; Oklahoma State University, Stillwater, OK, USA.
  • Sellbom M; University of Otago, Dunedin, New Zealand.
  • Watson D; University of Notre Dame, Notre Dame, IN, USA.
  • Widiger TA; University of Kentucky, Lexington, KY, USA.
  • Zimmermann J; University of Kassel, Kassel, Germany.
Assessment ; 29(1): 3-16, 2022 01.
Article in En | MEDLINE | ID: mdl-34013772
In this article, we describe the collaborative process that is underway to develop measures for the Hierarchical Taxonomy of Psychopathology (HiTOP). The HiTOP model has generated much interest in the psychiatric literature in recent years, but research applications and clinical translation of the model require measures that are specifically keyed to the model. To that end, the Measures Development Workgroup of HiTOP has been engaged in a collaborative effort to develop both questionnaire and interview methods that (a) are specifically tied to the elements of the HiTOP structure, and (b) provide one means of testing that structure. The work has been divided among five subgroups that are focused on specific HiTOP spectra. Our scale development methods are rooted in the principles of construct valid scale development. This report describes Phase 1 of this project, summarizes the methods and results thus far, and discusses the interplay between measurement and HiTOP model revisions. Finally, we discuss future phases of the scale development and the steps we are taking to improve clinical utility of the final measures.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Mental Disorders Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Assessment Journal subject: PSICOLOGIA Year: 2022 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Mental Disorders Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Assessment Journal subject: PSICOLOGIA Year: 2022 Type: Article Affiliation country: United States