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.
Thus far, we have learned to do almost everything we need to in MATLAB. However, one major aspect still remains: inferential statistics. Before we can conclude if our experimental manipulation made a difference in the dependent measure, we must test for this difference statistically.
7.1 Confidence Intervals
Calculating a confidence interval is easy, given that you have already ...