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An Introduction to MATLAB for Behavioral Researchers

An Introduction to MATLAB for Behavioral Researchers

December 2013 | 280 pages | SAGE Publications, Inc
MATLAB is a powerful data analysis program, but many behavioral science researchers find it too daunting to learn and use. An Introduction to MATLAB for Behavioral Researchers is an easy-to-understand, hands-on guide for behavioral researchers who have no prior programming experience. Written in a conversational and non-intimidating style, the author walks students—step by step—through analyzing real experimental data. Topics covered include the basics of programming, the implementation of simple behavioral analyses, and how to make publication-ready figures. More advanced topics such as pseudo-randomization of trial sequences to meet specified criteria and working with psycholinguistic data are also covered. Interesting behavioral science examples and datasets from published studies, such as visualizing fixation patterns in eye-tracking studies and animal search behavior in two-dimensional space, help develop an intuition for data analysis, which is essential and can only be developed when working with real research problems and real data.

1. The Basics
2. Data, Meet MATLAB
3. Basic Analyses
4. Making Figures
5. Automating Your Analyses
6. Debug and Optimize
7. Elementary Statistics
8. Putting it All Together
9. The Final Chapter

“This is definitely one of the better MATLAB textbooks that I have seen out there.”

Thomas Serre
Brown University

good introduction, examples help a lot, to have more advanced applications would be nice

Dr Tanja Kirn
Institut für Finanzdienstleistungen, University of Liechtenstein
July 6, 2015

This is good, have recommended it to colleagues too

Dr Jabulani Makhubele
Social Work, University of Limpopo
April 22, 2014
Key features

  • A problem-driven approach specifically developed for behavioral researchers with no prior programming experience helps readers become confident with MATLAB by working through real examples.
  • End-of-chapter exercises (with solutions provided in an appendix) give readers practice working through the book’s instructions, offering opportunities for readers to apply topics learned to their own research.
  • Comprehensive example datasets cover a large variety of behavioral studies to highlight commonalities in analysis approaches and enhance generalization learning and problem-solving.
  • Numerous screenshots illustrate the step-by-step procedures in MATLAB and enhance learning.

Sample Materials & Chapters

Chapter 3

Chapter 6

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