Quantifying order in response sequences
Derek Neil and John Towse
RgCalc is a computer program to aid psychological research in the area of human random generation performance, written for Windows95. It is designed to evaluate the order in a sequence of items (i.e., measure the lack of randomness), and was written by Derek Neil and John Towse. Given a set of responses, RGCalc calculates the following indices of randomisation performance:
A description of these measures is provided in Towse and Neil (1998),
along with instructions for using the RGCalc program. This document can
be obtained from either author (see below). The program is reasonably self-explanatory,
but we recommend that you consult the Towse and Neil reference for details
on the computation and appropriate interpretation of randomness scores.
We would welcome any comments you have about this program. You can email
John Towse (email@example.com) or write toJohn Towse at
Click here to download RGCalc
Disclaimer: In no event will John Towse, Derek Neil, or their employers
be liable to you for any consequential, incidental or indirect damages
arising out of the use or inability to use the software.
Towse, J.N., & Neil, D. (1998). Analyzing human random generation
behavior: A review of methods used and a computer program for describing
performance. Behavior Research Methods, Instruments, & Computers,30(4),
On the second page of the article, Evans' RNG index (Equation 4) is described as
RNG = sum (n(ij)log(n(ij))) / sum (n(ij)log(n(i))).
whereas the RNG formula should be
RNG = sum (n(ij)log(n(ij))) / sum (n(i)log(n(i))).
That is, one divides by the sum of the products
of response frequencies and log (response frequencies), not the product
of the response pairs and log (response frequencies). RGCalc implements
the correct formula and we apologise for the typographical error in the