Please check this website periodically for announcements regarding PSYCH 710.

Office Hour:
Tuesday, 10:30-11:30, PC-205B and by appointment.

Teaching Assistants:
Jeff [brucejs at mcmaster dot ca or jeffbruce at gmail dot com; x24832 or x24797]
Mark [vidamd at mcmaster dot ca; x27011 or x24761]
Eugenie [roudaia at mcmaster dot ca; x24489]

• This website will be updated throughout the Fall Term 2011.
• The course consists of a weekly lecture, held on Tuesdays, 2:30-4:30, in PC-335, and a two-hour, computer-based laboratory held on Wednesdays in PC-205B at 10:30-12:30 or 12:30-2:30.
• The first meeting of the course will be held on Tuesday, September 13.
• The textbook for this course, Designing Experiments and Analyzing Data: A model comparison perspective (2nd ed., Maxwell & Delaney, 2004), can be obtained in the McMaster bookstore.
• The statistical softwared used in this course is R, which can be downloaded here.

UPDATES:

• [06-Dec 7:18 AM] The answers to the 4th set of practice questions can be obtained here.
• [02-Dec 3:00 PM] The fourth set of practice questions can be obtained here.
• [23-Nov 12:30 PM] Lab 9 can be obtained here.
• [22-Nov 1:21 PM} The answers for exam 2 can be seen here.
• [15-Nov 10:51 AM] I've decided to cover part of Chapter 10, Designs with Random or Nested Factors, during today's lecture. My notes can be found here.
• [08-Nov 6:42 PM] The answers for the 3rd set of practice questions can be seen here.
• [06-Nov 8:24 AM] Your TAs will be available during the office hour and, if needed, right after the hour to answer questions regarding the material and/or regarding the practice questions.
• [06-Nov 8:22 AM] I made a few minor changes to the wording of question 2a in the 3rd set of practice questions.
• [05-Nov 10:12 PM] The third set of practice questions can be found here.
• [05-Nov 1:35 PM] I will post practice questions for exam 2 sometime later today.
• [25-Oct 1:49 PM] The answers for exam 1 can be seen here.
• [18-Cot 8:40 PM] I uploaded the answer key for lab 5.
• [19-Oct 9:30 AM] Lab 5 (Factorial ANOVA) can be obtained here.
• [18-Oct 1:25 PM] Made some minor changes to my notes on chapter 7. Probably the most significant changes are in section 7.4.1.
• [11-Oct 9:04 PM] The second set of practice questions can be found here and the answers are here.
• [06-Oct 9:05 AM] The answers to the first set of practice questions can be found here.
• [06-Oct 9:02 AM] Uploaded the answer key for lab 4 (Multiple Comparisons).
• [05-Oct 6:00 PM] I fixed a typo at the bottom of page 6 in the notes for chapter 5.
• [05-Oct 8:50 AM] The first set of practice questions can be obtained here.
• [05-Oct 8:50 AM] Lab 4 (Multiple Comparisons) can be obtained here.
• [04-Oct 8:49 PM] Uploaded my notes for chapter 6 (Trend Analysis). You will not be tested specifically on information in chapter 6, but you might find some of the information in these notes useful.
• [04-Oct 11:19 AM] Updated the notes on multiple comparisons.
• [29-Sep 11:36 PM] In the R Links section, I added this link to a blog post that describes how to do a paired-sample t test.
• [28-Sep 9:00 PM] Examples of how to extract subsets of data can be found here.
• [28-Sep 7:31 PM] Uploaded the answer key for lab 3.
• [27-Sep 12:23 PM] Made a few changes to the notes for chapter 4.
• [22-Sep 6:50 PM] I don't think that this has anything to do with our analysis of the Michaelson-Morley data in lab 2.
• [21-Sep 8:00 PM] Uploaded the answer key for lab 2.
• [20-Sep 11:57 PM] Uploaded the lab 2 handout.
• [20-Sep 1:59 PM] Made some minor changes to my notes for chapter 3.
• [16-Sep 8:41 AM] The answer key for lab 1 has been posted.
• [15-Sep 6:16 PM] Posted contact information for your TAs and the time/place of the weekly office hour.
• [13-Sep 11:00 AM] I uploaded the course outline and posted lab 1.

• Review of basic aspects of descriptive and inferential statistics: PSYCH 710 assumes that students have taken an undergraduate course in inferential statistics. Some of the important concepts taught in such a course are reviewed in the following documents.
  • Maxwell & Delaney's basic statistics tutorial. This file also can be found on the CD that came with the textbook.
  • PJB's notes on z and t-tests
  • Instructions for getting the data sets that accompany A Beginner's Guide to R can be found here.
  • A brief handout describing how to extract subsets of data from R variables can be found here.

• The following items review important issues regarding significance testing:
  • Cohen, J (1994). The earth is round (p<.05). American Psychologist, 49(12), pp. 997-1003.
  • Lykken, D.T. (1968). Statistical significance in psychological research. Psychological Bulletin, 70(3), pp. 151-159.
  • Significant

• R links
  • The Comprehensive R Archive Network (CRAN)
  • Some Free R Manuals, Tutorials, etc.
  • Jonathan Baron's R reference card
  • R bloggers
  • Quick-R
  • NY Times article discussing why R is taking over the world
  • Edinburgh Psychology R-users
  • A blog post illustrating how to do a paired-sample t test is here.

• Course notes on chapters from the textbook: (N.B. These notes may be modified during the term.)
  • Chapter 3 (One-way Between-Subjects ANOVA)
    If you need a review of basic statistics, please read my notes on testing differences between means.
  • Chapter 4 (Individual Comparisons Among Means)
  • Chapter 5 (Multiple Comparisons of Means) [updated at 6:00 PM on Oct 5, 2001]
    • Illustrations of potential problems associated with doing multiple comparisons can be found here, here, and here.
  • Chapter 6 (Trend Analyses)
  • Chapter 7 (Between-Subjects Factorial Designs)
    • Here is a paper describing common erroneous analyses of interactions.
  • Chapter 9 (Designs with Covariates)
  • Chapter 10 (Designs With Random or Nested Factors)
  • Chapter 11 (One-way Within-Subjects Designs: Univariate Approach)
  • Chapter 12 (Higher-Order Designs with Within-Subjects Factors)

• Lab assignments
  • Lab 1: Introduction to R [handout; answer key]
  • Lab 2: One-way ANOVA [handout; answer key]
  • Lab 3: Linear Contrasts [handout; answer key]
  • Lab 4: Multiple Comparisons [handout; answer key]
  • Lab 5: Factorial ANOVA [handout; answer key]
  • Lab 6: Factorial ANOVA (part 2) [handout; answer key]
  • Lab 7: 3-way ANOVA and ANCOVA [handout; answer key]
  • Lab 8a: Random and Nested Effects [handout; answer key]
  • Lab 8b: One-way Within-Subject ANOVA [handout; answer key]
  • Lab 9: Within-Subject ANOVA [handout; answer key]
  • Lab 10: Split-plot ANOVA [handout; answer key]