### PSYC 3101, Sec. 800

#### Honors Stat, Spring 2010

Class Calendar

Jan 12 - CLASS 1 - Introductions, syllabus, and overview
Jan 14 - CLASS 2 - Basic concepts. Have read SS Ch. 0 & 1
Jan 14 - LAB 1 - Basics of R.

Jan 19- CLASS 3 - Descriptive statistics. Have read SS Ch. 2-5. HW #1 (basic concepts) due.
Jan 21 - CLASS 4 - Sampling distributions. Have read SS Ch. 6-8.
Jan 21 - LAB 2 - Descriptive statistics in R.

Jan 26 - CLASS 5- Sampling distributions part II & statistical decisions. HW #2 (descriptive stats) due
Jan 28 - CLASS 6 - 1-sample, indep., and paired t-tests. Have read SS Ch. 9 & 10.
Jan 28 - LAB 3 - t-tests and graphs in R.

Feb 2 - CLASS 7 - Research design. HW #3 (means and t-tests) due. Quiz 1.
Feb 4 - CLASS 8 - Correlation and regression. Have read SS Ch. 12.
Feb 4- LAB 4 - Correlation and regression with graphs in R.

Feb 9- CLASS 9 - Regression. HW #4 (correlation and regression) due.
Feb 11 - CLASS 10 - Regression practicals.
Feb 11 - LAB 5 - Correlation and regression with graphs in R

Feb 16 - CLASS 11 - Multiple regression part I. HW #5 (Regression) due.
Feb 18 - CLASS 12 - Multiple regression part II in R.
Feb 18 - LAB 6 - Multiple regression in R.

Feb 23 - CLASS 13 - Multiple regression: interactions. HW #6 (multiple regression II) due. Quiz 2.

Feb 25 - CLASS 14 - ANOVA from a regression standpoint.
Feb 25 - LAB 7 - ANOVA and interactions in R.

Mar 2 - CLASS 15 - Factorial ANOVA using regression. HW #7 (interactions & ANOVA) due.
Mar 4 - CLASS 16 - Factorial ANOVA part II.
Mar 4 - LAB 8 - Factorial ANOVA in R.

Mar 9 - CLASS 17 - Factorial ANOVA part III. Have read SS Ch. 8-10. HW #8(ANOVA) due.
Mar 11 - CLASS 18 - Logistic regression.
Mar 11 -  LAB 9 - Find articles online. APA bibliographic format.

Mar 16 - CLASS 19 - Review for Mastery Exam
Mar 18 - CLASS 20 - Mastery Exam - Closed-book portion.
Mar 18 - LAB 10 - Mastery Exam - Open book portion.

Mar 23 - Fall Break - no classes
Mar 25 - Spring Break - no classes

Mar 30- CLASS 21 - Mastery Exam results. Overview of Part II
Apr 1 - CLASS 22 - Work on Research Project
Apr 1 - LAB 11 - Coding data in R. Work on Research Project

Apr 6 - CLASS 23 - Work on Research Project
Apr 8 - CLASS 24 - Work on Research Project
Apr 8 - LAB 12 - Work on Research Project

Apr 13 - CLASS 25 - Work on Research Project
Apr 15 - CLASS 26 - Work on Research Project
Apr 15 - LAB 13 - Work on Research Project

Apr 20 - CLASS 27 - Work on Research Project
Apr 22 - CLASS 28 - Research Project Presentations. Last possible day to turn in Research Manuscript.
Apr 22 - LAB 14 - Research Project Presentations.

Apr 27 - CLASS 29 - Research Project Presentations.
Apr 29 - CLASS 30 - Research Project Presentations. Last possible day to turn in Peer Reviews.
Apr 29 - LAB 15 - Research Project Presentations.

May 5 - REVISED RESEARCH ARTICLE & RESPONSE TO COMMENTS DUE BY 5PM

NOTE: These course materials are a collaboraive effor between Gary McClelland and Matt Keller. Gary developed the basic structure for this course and refined it over the years. Matt Keller has recently refined and improved the structure. And now Gary is hoping not to mess it up too much.