PSY711/PSY712 - Introduction to Bootstrapping and Robust Statistics

The course outline can be obtained here

The answer key for the exam can be obtained here.

**Exam Schedule**

Unless you have discussed alternatives with me, please take the exam on the same day that you attended the lab.

Tuesday, March 3, 2:30-6:00 PM, PC-403

Wednesday, March 4, 10:00 AM - 1:00 PM, PC-403

**Final Office Hour**

I have to attend another meeting on Thursday, Februarary 26, 9:30-10:30. Therefore, my office "hour" will be from 9:00-9:30. Of course, you can also email me to arrange a time that we can meet in my office.

- Jan 13: Introduction
- Erceg-Hurn, D.M. and Mirosevich, V.M. (2008). Modern robust statistical methods: An easy way to maximize the accuracy and power of your research. Am Psychol, 63(7), 591-601. [PDF]
- Grunkemeier, G. L. & Y. Wu (2004). Bootstrap resampling methods: Something for nothing? Ann Thorac Surg 77(4): 1142-4. [PDF]

- Jan 20: Confidence Intervals
- Lecture Notes
- Percentile T Bootstrap (R examples)
- Statistics Lab
- My answers to the lab can be obtained here.
- Assigned Reading:
Mooney, C. Z. and Duval, R.D. (1993). Bootstrapping : a nonparametric approach to statistical inference. Sage Publications, Newbury Park, CA. [Pages 1-14; 33-42.] [PDF]

- Jan 27: Robust Measures of Location and Scale
- Lecture Notes

[Updated 3-Feb-09 2:11 PM: Added many sections that illustrate how to do robust comparisons among J independent groups.]

[Updated 23-Feb-09 10:36 PM: Removed section that described analyses of one-way designs. That material is now in a set of notes on ANOVA (see next section).] - Statistics Lab
- My answers to the lab can be obtained here.
- Keselman, H.J., Othman, A.R., Wilcox, R.R., & Fradette, K. (2004). The new and improved two-sample t test. Psych Sci, 15(1), 47-51. [PDF]

- Lecture Notes
- Feb 3: Bootstrapping ANOVAs
**[NEW]**Lecture Notes

[Updated 23-Feb-09 10:37 PM: These notes include discussions of analyzing J independent (i.e., one-way between-subjects subjects designs).]- Statistics Lab
- My answers to the lab can be obtained here.
- Berkovits, I., Hancock, G.R., and Nevitt, J. (2000). Bootstrap resampling approaches for repeated measure designs: Relative robustness to sphericity and normality violations. Educ Psychol Meas, 60(6), 877-892. [PDF]
- Wilcox, R. R. (2002). Understanding the practical advantages of modern ANOVA methods. J Clin Child Adolesc Psychol 31(3): 399-412. [PDF]

- Feb 10: Correlated Data (Within-subjects ANOVA, correlation, and regression)
- Lecture Notes

[Updated 24-Feb-09 10:23 AM: Added several sections that discuss bootstrapping cases vs. bootstrapping residuals.] - Statistics Lab
- My answers to the lab can be obtained here.
- Wilcox, R. R. (2005). Introduction to robust estimation and hypothesis testing. Elsevier Academic Press. [Chapter 9 (Sections 9.1, 9.3.1-9.3.3, 9.3.10-9.3.14) and Chapter 10 (pp. 413-423)] Academic Press.

- Lecture Notes
- Feb 17: READING WEEK
- Feb 24: Review
- March 3: Final Exam

Unless you have discussed alternatives with me, please take the exam on the same day that you attended the lab.

- Tuesday, March 3, 2:30-6:00 PM, PC-403
- Wednesday, March 4, 10:00 AM - 1:00 PM, PC-403