Course Description:Course Materials:Howell, D. C. (2002). Statistical methods for psychology (5th edition). Available at the UVM bookstore. Course material will be drawn primarily from this text.A 3” floppy disk is needed to save data sets and DATETOPICREADINGSPSYCHOLOGY 341: ADVANCED STATISTICAL METHODS II Course Syllabus: Spring 2005 3 Credit Hours (Graduate) ______________________________________________________________________________ Instructor: Andrew R. Yartz, Ph.D. Office: 408B John Dewey Hall Phone: 656-9205 (office) E-mail: [email protected] (the best way to reach me is via email!) Office Hrs: Mondays from 11:30-12:20 and 2:45-3:30. Appointments available upon request. T.A.: Marcel Bonn-Miller Office: 124 John Dewey Hall Phone: 656-3831 (office) E-mail: [email protected] Office Hrs: Fridays 9-11 (during lab time). Appointments available upon request. Lecture: M 12:20-2:45 (212 JDH) Lab: F 9:00-11:00 (113-Q Waterman) Course website: http://www.uvm.edu/~dhowell/gradstat/index.html ______________________________________________________________________________ Course Description: 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 factorial ANOVA, Repeated Measures, Multiple Regression, ANCOVA, GLM, and a select number of additional topics. These statistical techniques are central to evaluating a variety of hypotheses in psychology and related fields. Course Objectives: After completing this course, you will be familiar with the basic theory and analyses underlying each of the topics noted in the course schedule. More specifically, you will be proficient in: (1) Selecting appropriate analytical tests for particular research questions. (2) Understanding the theoretical assumptions underlying specific analyses. (3) Applying SPSS to perform the types of analyses covered in the course. That said, this does NOT mean that you will be an “expert” at all, or even any, 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 basic overview and introduction to these statistical techniques. You will most likely develop your own area of statistical expertise and training through subsequent coursework and research activity. 1Course Materials: • Howell, D. C. (2002). Statistical methods for psychology (5th edition). Available at the UVM bookstore. Course material will be drawn primarily from this text. • Additional handouts/readings will be passed out in class. • A 3” floppy disk is needed to save data sets and work throughout the semester. • You will have access to lectures, assignments, labs, and review materials. Course Components: 1) Lab Assignments (Applied) • There will be weekly lab assignments for most topics covered. They are designed to help you understand and integrate materials by working to solve problems using real data sets. 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 develop statistical skills using SPSS to apply the ideas discussed in lecture. • All lab assignments are due on the next lecture day following that lab (Mondays). The assignments will be graded using a “pass/fail” system. A pass is equivalent to 1 point, a fail is no points. If you don’t turn in a homework assignment, or if you turn it in late and unexcused, it will receive a fail. 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. 2) Final Exam (Theoretical) • Both theoretical and applied material will be covered on the final, with an emphasis on the former. • Format is to be determined (take home versus in class; question formats). 3) Participation (Essential) • All students are expected to participate in group discussions, ask questions to clarify material, and contribute to helping others in the class learn the material. It is your contribution to the class that will best help everyone meet their learning goals, so please adopt a helpful and team-oriented approach to the class as much as possible. Course Evaluation: Lab Assignments 40% Final Exam 40% Participation 20% Grading Scale: 100%: A+ 77-79%: C+ less than 60%: F 95-99%: A 74-76%: C 90-94%: A- 70-73%: C- 87-89%: B+ 67-69%: D+ 84-86%: B 64-66%: D 80-83%: B- 60-63%: D- 2PSYCHOLOGY 341: ADVANCED STATISTICS II Schedule of Course Topics, Assignments, and Readings ______________________________________________________________________________ DATE TOPIC READINGS Complete 340 topics: 1/21 (Fri) Introduction and Overview (meet in Dewey 306) 1/24 (Mon) Lecture #1: Chi-Square Chapter 6 1/28 (Fri) Lab 1/31 (Mon) Lecture #2: Review of Hypothesis Tests and Power Chapters 7 & 8 2/4 (Fri) Lab 2/7 (Mon) Lecture #3: Correlation and Regression [Marcel lecture] Chapter 9 2/11 (Fri) Lab 2/14 (Mon) Lecture #4: ANOVA Review and Multiple Comparisons Chapters 11 &12 2/18 (Fri) Lab 2/21 (Mon) President’s Day Holiday – No Class 2/25 (Fri) Final Exam for Psych 340 (Covers chapters 1-12) Begin 341 material: 2/28 (Mon) Lecture #5: Factorial ANOVA Chapter 13 3/4 (Fri) Lab 3/7 (Mon) Lecture #6: Repeated Measures Chapter 14 3/11 (Fri) Lab 3/14 (Mon) Lecture #7: Taxometrics [Amit Bernstein guest lecture] TBA 3/18 (Fri) No Lab (Andy and Marcel in Seattle for ADAA conference) 3/21-25 Spring Break Vacation! 3/28 (Mon) Lecture #8: Multiple Regression Chapter 15 4/1 (Fri) Lab 4/4 (Mon) Lecture #9: ANCOVA & GLM Chapter 16 4/8 (Fri) Lab 4/11 (Mon) Lecture #10: Open Date (see below) TBA 4/15 (Fri) Lab 4/18 (Mon) Lecture #11: Open Date (see below) TBA 4/22 (Fri) Lab 4/25 (Mon) Last day of class: Review for Final Exam, Course Wrap-up, and Evaluations 4/28 (Fri) Study Day (No Lab) 5/2 (Mon) Final Exam for Psych 341 (covers chapters 12-16 plus any additional material) Potential topics for two Open Lecture dates: • Catch-up days if needed (note