Data Methods in Cognitive Psychology
Introduction to the analysis of behavioral data from cognitive research with a focus on the separation of accuracy and response strategy. Particular emphasis on Signal Detection Theory and other basic statistical decision models. Application of Matlab to both basic Monte Carlo simulation and cognitive experiment generation. Simple estimation of the parameters of decision models using iterative search algorithms and the use of bootstrap techniques to estimate the variability of parameter estimates. Investigation of the basic relationship between decision models and statistical tests typically used behavioral data analysis such as Student's t-test. 3 units.