Some supplementary methods for the analysis of the RBANS
Related Experiment Video
Updated: May 29, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
Published on: July 17, 2021
John R Crawford1, Paul H Garthwaite, Nicola Morrice
1School of Psychology, University of Aberdeen, UK. j.crawford@abdn.ac.uk
Abstract:
Supplementary methods for the analysis of the Repeatable Battery for the Assessment of Neuropsychological Status are made available, including (a) quantifying the number of abnormally low Index scores and abnormally large differences exhibited by a case and accompanying this with estimates of the percentages of the normative population expected to exhibit at least this number of low scores and large differences, (b) estimating the overall abnormality of a case's Index score profile using the Mahalanobis Distance Index (MDI), (c) reporting confidence limits on differences between a case's Index scores, and (d) offering the option of applying a sequential Bonferroni correction when testing for reliable differences. With the exception of the MDI, all the methods can be obtained using the formulas and tables provided in this article. However, for the convenience of clinicians, and to reduce the possibility of clerical error, the methods have also been implemented in a computer program. More importantly, the program allows the methods to be applied when only a subset of the Indexes is available. The program can be downloaded from www.abdn.ac.uk/~psy086/dept/RBANS_Supplementary_Analysis.htm
Related Concept Videos
Friedman Two-way Analysis of Variance by Ranks
Response Surface Methodology
The process of RSM involves several key steps:
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Statistical Analysis: Overview
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
Regression Toward the Mean
