This book serves as an introduction to the design of experiments and modeling. It describes all the steps involved in leading an experiment, from the initial design through to the creation of automated stimuli and computerized presentations of the stimuli to statistical analyses and data modeling.
This book establishes the value of programming in automating these various steps, for which the tasks can quickly become tedious. It therefore presents the many virtues of Matlab® and, thanks to simple codes, demonstrates in what ways algorithms are essential to data modeling and experimentation.
Part 1. Experiments, Models, Simulations
1. Principles of Modeling.
2. Modeling and Simulation.
3. Adjustment of the Model to the Data.
4. Introduction to Programming in MATLAB®.
Part 2. Experimentation
5. Principles of Experimentation Organization and Experimental Reasoning.
6. Building Experimental Conditions from Random Draws or Permutations.
7. Creating Stimuli Digitally.
8. Experimenting with Psychtoolbox ?(and Others).
Part 3. Analysis and Modeling
9. Analyzing Data: Import, Transformation, Compilation, Restructuring, Aggregation and Use of Statisticstoolbox.
10. Introduction to Bayesian Analysis.
11. Complex and Original Figures.
Fabien Mathy is Professor in the Department of Psychology at the University Côte d’Azur, France, and a Researcher at the Bases, Corpus, Langage Laboratory of the CNRS, France.
Mustapha Chekaf is a Doctor in Cognitive Psychology and Assistant Professor in the Department of Psychology at the University Côte d’Azur, France
Table of Contents
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