Developing Dimensional, Pandiagnostic Inhibitory Control Constructs With Self-Report and Neuropsychological Data
| Autor: | Anne L. Weldon, Alvaro Vergés, David F. Marshall, Masoud Kamali, Erika F.H. Saunders, Natania A. Crane, Melvin G. McInnis, Runa Bhaumik, Scott A. Langenecker, Michelle T. Kassel, Kelly A. Ryan |
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| Rok vydání: | 2018 |
| Předmět: |
050103 clinical psychology
Bipolar Disorder Neuropsychological Tests Article Executive Function 03 medical and health sciences 0302 clinical medicine Inhibitory control medicine Humans 0501 psychology and cognitive sciences Prospective Studies Bipolar disorder Self report Applied Psychology 05 social sciences Not Otherwise Specified Neuropsychology medicine.disease Clinical Psychology Trait Self Report Construct (philosophy) Psychology 030217 neurology & neurosurgery Research Domain Criteria Clinical psychology |
| Zdroj: | Assessment |
| ISSN: | 1552-3489 1073-1911 |
| Popis: | Trait markers, or intermediate phenotypes linking different units of analysis (self-report, performance) from the Research Domain Criteria (RDoC) matrix across populations is a necessary step in identifying at-risk individuals. In the current study, 150 healthy controls (HC) and 456 individuals with bipolar disorder (BD) Type I or II, NOS (not otherwise specified) or Schizoaffective BD completed self-report neuropsychological tests of inhibitory control (IC) and executive functioning. Bifactor analyses were used to examine the factor structure of these measures and to evaluate for invariance across groups. Bifactor analyses found modest convergence of items from neuropsychological tests and self-report measures of IC among HC and BD. The factor scores showed evidence of a general IC construct (i.e., subdomain) across measures. Importantly, invariance testing indicated that the same construct was measured equally well across groups. Groups differed on the general factor for three of the four scales. Convergence on a general IC factor and invariance across diagnosis supports the use of combined dimensional measures to identify clinical risk and highlights how prospective RDoC studies might integrate units of analysis. |
| Databáze: | OpenAIRE |
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