Modeling Psychophysical Data in R

• Main Authors: Knoblauch, Kenneth (Author), Maloney, Laurence T. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2012.
• Series: Use R! ; 32
• Subjects: Statistics.; Statistics and Computing/Statistics Programs.; Statistical Theory and Methods.; Statistics, general.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.

Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM). This book illustrates how to fit data from a variety of psychophysical paradigms using modern statisti...

Table of Contents:

• A First Tour through R by Example
• Modeling in R
• Signal Detection Theory (SDT)
• The Psychometric Function: Introduction
• The Psychometric Function: Continuation
• Classification Images
• Maximum Likelihood Difference Scaling (MLDS)
• Maximum Likelihood Conjoint Measurement (MLCM)
• Mixed-Effect Models
• Some Basics of R
• Statistical Background
• References
• Index.