Repeatable battery for assessment of neuropsychological status in early Parkinson's disease

Chengwu Yang, Elizabeth Garrett-Mayer, Jay S. Schneider, Stephen M. Gollomp, Barbara C. Tilley

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

Adequate reliability and valid factor structure are prerequisites for appropriate use of a measure in a population. Although the Repeatable Battery for Assessment of Neuropsychological Status (RBANS) has been used to examine cognition in Parkinson's disease (PD), its reliability and factor structure have not been examined in this population. This study examined the reliability and factor structure of the RBANS in participants with de novo PD recruited for two NIH Exploratory Trials in Parkinson's Disease (NET-PD), using Cronbach's α and factor analysis. Confirmatory factor analysis (CFA) was implemented on the factor structure proposed in the RBANS manual, and exploratory factor analysis (EFA) was conducted to identify a valid factor structure given the proposed one was not supported. The RBANS exhibited poor reliability in participants with NET-PD. Cronbach's a ranged from 0.03 to 0.74 for the five domains and the full scale. CFA results indicated that the proposed factor structure in the RBANS manual was not supported in this sample. EFA identified a two-factor structure for six of the 12 RBANS items. Six items were eliminated due to low correlation with other items or severe ceiling effects. This new factor structure was validated by another CFA. The two domains have fair reliability. Cronbach's a ranged from 0.65 to 0.74 for the two factors in the two datasets. These results suggest that the current RBANS domain and total scores may not provide valid measurement of the neuropsychological status for patients with early PD.

Original languageEnglish (US)
Pages (from-to)1453-1460
Number of pages8
JournalMovement Disorders
Volume24
Issue number10
DOIs
StatePublished - Jul 30 2009

All Science Journal Classification (ASJC) codes

  • Neurology
  • Clinical Neurology

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