Principal components analysis of the Neurobehavioral Symptom Inventory in a nonclinical civilian sample

Sullivan, Karen A., and Lurie, Janine K. (2017) Principal components analysis of the Neurobehavioral Symptom Inventory in a nonclinical civilian sample. Applied Neuropsychology: Adult, 24 (6). pp. 522-531.

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Abstract

The study examined the component structure of the Neurobehavioral Symptom Inventory (NSI) under five different models. The evaluated models comprised the full NSI (NSI-22) and the NSI-20 (NSI minus two orphan items). A civilian nonclinical sample was used. The 575 volunteers were predominantly university students who screened negative for mild TBI. The study design was cross-sectional, with questionnaires administered online. The main measure was the Neurobehavioral Symptom Inventory. Subscale, total and embedded validity scores were derived (the Validity-10, the LOW6, and the NIM5). In both models, the principal components analysis yielded two intercorrelated components (psychological and somatic/sensory) with acceptable internal consistency (alphas > 0.80). In this civilian nonclinical sample, the NSI had two underlying components. These components represent psychological and somatic/sensory neurobehavioral symptoms.

Item ID: 81135
Item Type: Article (Research - C1)
ISSN: 2327-9109
Keywords: Concussion; minor head injury; postconcussion; traumatic brain injury;
Copyright Information: © 2017 Taylor & Francis Group, LLC
Date Deposited: 21 Nov 2023 01:47
FoR Codes: 52 PSYCHOLOGY > 5203 Clinical and health psychology > 520304 Health psychology @ 100%
SEO Codes: 20 HEALTH > 2002 Evaluation of health and support services > 200202 Evaluation of health outcomes @ 100%
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