Purpose of the Course/OverviewRequired Course Materials*- Howell, D. C. (2002). Statistical methods for psychology (5th ed.). Duxbury Press.- You will also need a rewriteable CD or floppy disk to save work throughout the semester. * Lecture material will be drawn from texts as well as additional sources. Thus, the texts are not meant to replace lectures.Course Website The course website is available at http://webct.uvm.edu:8943. You will have access to lecture outlines/notes, assignments, labs, and review materials. CLASS TOPIC READINGS Advanced TopicsPSY 341- Advanced Statistical Methods II Spring 2006 Monday 9:05 – 12:05 (126A JDH) Friday 11:00 – 1:00 (113-Q Waterman) _____________________________________________________________ Professor Teaching Assistant Heather Bouchey, Ph.D. Amanda Woods, M.A. Office: 224 JDH 448 JDH Phone : 656-0882 6-0852 (cell: 740-701-1455) Office Hours: T 2-3, W 10-11 during lab (and by appointment) (and by appointment) E-mail: Heather.Bouchey@ uvm.edu [email protected]______________________________________________________________________________ Purpose of the Course/Overview This is the second part of a two-series course required of all graduate students in the psychology program. The class will provide an overview of advanced statistics, beyond those previously encountered in the prerequisite for this course (Psych 340). We will cover multiple regression, ANCOVA, GLM, MANOVA and a select number of special topics. These statistical techniques are central to evaluating a variety of hypotheses in psychology and related fields. Course Objectives After completing this course, you should be familiar with the basic theory and analyses underlying each of the topics listed above. More specifically, you should be proficient in: (1) selection and application of appropriate analyses for particular research questions (2) understanding how to write and review empirical articles incorporating such analyses (3) knowledge of the theoretical assumptions underlying specific analyses Of course, this does NOT mean that you should feel “expert” at any or all of these statistical techniques. Expertise in statistics typically develops only after multiple, repeated applications to real-world problems (such as those you’ll encounter in your theses and dissertations). Rather, the intent of this course is to provide you with a core underlying knowledge of these advanced tests. You will most likely develop your own area of statistical expertise and training through subsequent coursework and research activity. Required Course Materials* • Keith, T. Z. (2006). Multiple regression and beyond. Boston: Allyn & Bacon. • Grimm, L. G., & Yarnold, P. R. (1995). Reading and understanding multivariate statistics. Washington, DC: APA. • Howell, D. C. (2002). Statistical methods for psychology (5th ed.). Duxbury Press. • Additional handouts/readings passed out in class or available for photocopying. • You will also need a rewriteable CD or floppy disk to save work throughout the semester. 1* Lecture material will be drawn from texts as well as additional sources. Thus, the texts are not meant to replace lectures. Supplemental (recommended) Texts • Cohen, J., Cohen, P., West, S. G. & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Mahwah, NJ: Erlbaum. • Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics (4th ed.). Boston: Allyn & Bacon. Course Website The course website is available at http://webct.uvm.edu:8943. You will have access to lecture outlines/notes, assignments, labs, and review materials. Course Requirements Lab Assignments & Participation • There will be lab assignments for most topics covered. They are designed to help you understand and integrate material. These assignments will be available prior to the day when we cover them in lab, so that you may work on them beforehand. The intent of the labs is not for you to “get the right answer,” but to use SPSS to apply material learned in lecture. Even if you are struggling with a particular lab, you should hand something in so that it is apparent that you’ve been working on it. • Lab assignments will be graded using a “pass/fail” system. A pass is equivalent to 1 point. If you don’t turn in a homework assignment, or if you turn it in late and unexcused, it will receive a fail. This means you will receive NO POINTS for that assignment. The ONLY exceptions to this policy are if you are ill or have an emergency and are unable to get the assignment in on time. Turn lab assignments in at the beginning of class on the day they are due. • All students are expected to actively participate in group discussions, ask questions to clarify material, etc. during both lecture and labs. To facilitate this goal, please make sure that you have read assigned readings carefully BEFORE coming to class. Midterm ExamThere will be a take-home midterm exam. The format of this exam will be similar to questions on lab assignments. A make-up exam will NOT be offered, so please plan to be in town when the exam is given (see attached schedule). Research Proposals and Presentations A research proposal** is due on Friday, April 14. This paper should not exceed 20 typed pages (double-spaced) with references, and must be written using APA format (see APA Publication Manual, 5th ed.). This proposal should consist of (1) a brief literature review, (2) specific hypotheses, (3) your plans for study design/methods and statistical analyses, including how you 2will test whether assumptions for your analyses have been met, and (4) expected conclusions. Given the content of this course, specific attention to the second and third sections is critical. To facilitate the writing process, a 1-2 page plan for your proposal is due at the beginning of class on Friday, February 24. This plan should include (1) a brief statement of the problem to be investigated, (2) a tentative outline of your paper, and (3) a preliminary bibliography with 5-10 references that you plan to incorporate into the body of your paper. We will have short (15-20 minute) class presentations of the proposals during the last two weeks of class. **More information on the proposal will be handed out and discussed in class. NOTE: If you’re having difficulty with course material, please notify myself or