Repeatable Battery for the Assessment of Neuropsychological Status (RBANS): Normative Data for Older Adults

Michelle Olaithe, Michael Weinborn, Talitha Lowndes, Amanda Ng, Erica Hodgson, Lara Aishling Fine, Denise Parker, Maria Pushpanathan, Donna Bayliss, Michael Anderson, Romola Bucks

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Provide updated older adult (ages 60+) normative data for the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), Form A, using regression techniques, and corrected for education, age, and gender.

Participants (aged 60–93 years; N = 415) were recruited through the Healthy Ageing Research Program (HARP), University of Western Australia, and completed Form A of the RBANS as part of a wider neuropsychological test battery. Regression-based techniques were used to generate normative data rather than means-based methods. This methodology allows for the control of demographic variables using continuous data. To develop norms, the data were assessed for: (1) normality; (2) associations between each subtest score and age, education, and gender; (3) the effect of age, education, and gender on subtest scores; and (4) residual scores which were converted to percentile distributions.

Differences were noted between the three samples, some of which were small and may not represent a clinically meaningful difference. Younger age, more years of education, and female gender were associated with better scores on most subtests. Frequency distributions, means, and standard deviations were produced using unstandardized residual scores to remove the effects of age, education, and gender.

These normative data expand upon past work by using regression-based techniques to generate norms, presenting percentiles, as well as means and standard deviations, correcting for the effect of gender, and providing a free-to-use Excel macro to calculate percentiles.
Original languageEnglish
Pages (from-to)1356-1366
JournalArchives of Clinical Neuropsychology
Issue number8
Publication statusPublished - Dec 2019


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