Subject: Re: information transmission analyses From: Stuart Rosen <stuart@xxxxxxxx> Date: Tue, 24 Feb 2009 11:51:04 +0000 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>I highly recommend you read the classic book by Attneave in order to get to grips with information transfer measures generally: Attneave F. Applications of information theory to psychology: a summary of basic concepts, methods, and results. New York: Holt, Rinehart, and Winston, 1959. 120 p. [University of Oregon, Eugene, OR] In my experience %TRANS (=TRANS/INPUT) has proved to be the most useful measure but TRANS/TI can give you an idea about how important any particular feature is in overall performance. TRANS itself is probably less useful because the amount of information in each feature differs considerably. How you do the analyses depends on what questions you are trying to answer. Analysing individual matrices and then doing standard statistical tests is one way to avoid the difficulties of doing statistical analyses on a small number of matrices (which require something like log-linear analyses). On the other hand, looking at group matrices can make it easier to spot trends. Bon chance! Yours - Stuart -- /*------------------------------------------------*/ Stuart Rosen, PhD Professor of Speech and Hearing Science Co-director of the Centre for Human Communication Speech, Hearing and Phonetic Sciences Division of Psychology & Language Sciences, UCL 2 Wakefield Street London WC1N 1PF England Tel: (+ 44 [0]20) 7679 4077 Admin: (+ 44 [0]20) 7679 4050 Fax: (+ 44 [0]20) 7679 4010 Email: stuart@xxxxxxxx Home page: http://www.phon.ucl.ac.uk/home/stuart /*------------------------------------------------*/