200.314 Advanced Statistical Methods

Meets Tues and Wed 2-3:15pm in 233 Ames Hall

Instructor: Steven Yantis
email: yantis@jhu.edu
Office hours: Tues 1pm

TAs:
Adam Greenberg <agreenb@jhu.edu>
Mike McDannald <mcd@jhu.edu>

This course is the first half of the graduate statistics sequence. The goals are (1) to introduce elementary concepts in probability theory and statistics that are important for describing and interpreting quantitative data, and (2) to develop skills in analyzing and thinking critically about empirical data. We will cover probability theory, random variables, probability distributions, signal detection theory, hypothesis testing, t-tests, nonparametric tests, bootstapping and resampling, one- and two-way analysis of variance, correlation, and simple linear regression.

Text:
Hays, W.L. (1994). Statistics (5^th edition). Belmont, CA: Wadsworth.
ISBN 0-03-074467-9

  HANDOUTS

Platt (1964) Strong inference. Science, 146, 347-353.

Chamberlain (1965) The method of multiple working hypotheses. Science, 148, 754-759

Loftus, G. (1996). Psychology will be a much better science when we change the way we analyze data. Current Directions in Psychological Science, 5, 161-171.

Poldrack, R.A. (2006) Can cognitive processes be inferred from neuroimaging data? Trends in Cognitive Sciences, 10, 59-63.

Wickens, T. D. (2002). Elementary Signal Detection Theory. New York: Oxford University Press. [Chap 1; Chap 2 (sections 2.1-2.3); Chap. 3 (sections 3.1-3.3)]

Swets, J.A., Dawes, R.M., & Monahan, J. (2000). Psychological science can inprove diagnostic decisions. Psychological Science in the Public Interest, 1, 1-26. [This reading is optional but you should read it.]

Howell, D.C. (2002). Statistical Methods for Psychology, Chapter 18. Resampling and Nonparametric Approaches to Data (pp. 692-719).

Byrne, M.D. (1993). A better tool for the cognitive scientist’s toolbox: Randomization statistics. IN W. Kintsch (Ed). Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society (pp. 289-293). Mawah, NJ: Erlbaum.

Course Schedule:

Lecture notes for each week will be made available prior to class.
Go to Handouts to download file.