Course Syllabus for Statistical Methods - Spring 2007 | PSY 330, Lab Reports of Data Analysis & Statistical Methods

Material Type: Lab; Professor: Mackinnon; Class: Statistical Methods; Subject: Psychology (Science and Math); University: Arizona State University - Tempe; Term: Spring 2007;

Typology: Lab Reports

Pre 2010

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PSY 330 Statistical Methods:
A Second Course in Psychological Statistics
Spring 2007
David MacKinnon (727-6120; David.M[email protected]
)
Monday and Wednesday 10:40-11:55; Room PH153
Weekly PSY 330 Lab. session (Psy B153):
Monday 12-12:50 (Amanda Fairchild)
Monday 1-1:50 (Stephanie Moser)
DM Office Hours (Mon. 12-2pm, Tues. 9-10am; 11:30-1:30pm)
Room 362 Psychology North
Teaching Assistants:
Amanda Fairchild (Amanda.fairchild@asu.edu
)
Stephanie Moser (Stephanie.Moser@asu.edu
)
Office Hours (in Computer Laboratory B153)
MONDAY TUESDAY WEDNESDAY THURSDAY FRIDAY
Fairchild: 2-3pm
Moser: 3-5pm
Moser
9:30-10:30am
Fairchild
3-5:30pm
Fairchild
2-3:30pm
Moser
8:30-10:30am
Course Overview
The course covers statistical methods most often used in psychology and the social sciences. The
course will cover five major topics: (1) a general introduction to studies in psychology and the
social sciences, (2) review of some of the material covered in introductory statistics, (3) analysis
of variance (ANOVA), (4) multiple regression/correlation analysis (MRC), and (5) statistical
analysis using the computer. Most of the course will focus on analysis of variance and multiple
regression.
Required Book
Keppel, G. & Zedeck, S. (1989). Data analysis for research designs: Analysis
of variance and multiple regression/correlation approaches. W.H. Freeman and
Company: New York. ISBN 0-7167-1991-6.
Optional Book
Page, M. C., Braver, S. L.,& MacKinnon, D. P., (2003). Levine's SPSS Guide to
SPSS for Analysis of Variance, Mahwah, NJ: Erlbaum. ISBN 0-8058-3096-0
Statistical Analysis on the Computer
We will use the computing laboratory in the psychology building for class sessions with the Teaching Assistants
(Room B 153). Students will learn to use the Statistical Package for the Social Sciences (SPSS) and the Statistical
Analysis System (SAS). The class web site can be found at: http:www.public.asu.edu/~davidpm/classes/psy330/ . The use
of the web site in the class will depend on class interest and time.
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PSY 330 Statistical Methods:

A Second Course in Psychological Statistics Spring 2007 David MacKinnon (727-6120; [email protected]) Monday and Wednesday 10:40-11:55; Room PH Weekly PSY 330 Lab. session (Psy B153): Monday 12-12:50 (Amanda Fairchild) Monday 1-1:50 (Stephanie Moser) DM Office Hours (Mon. 12-2pm, Tues. 9-10am; 11:30-1:30pm) Room 362 Psychology North Teaching Assistants: Amanda Fairchild ([email protected]) Stephanie Moser ([email protected]) Office Hours (in Computer Laboratory B153) MONDAY TUESDAY WEDNESDAY THURSDAY FRIDAY Fairchild: 2-3pm Moser: 3-5pm Moser 9:30-10:30am Fairchild 3-5:30pm Fairchild 2-3:30pm Moser 8:30-10:30am Course Overview The course covers statistical methods most often used in psychology and the social sciences. The course will cover five major topics: (1) a general introduction to studies in psychology and the social sciences, (2) review of some of the material covered in introductory statistics, (3) analysis of variance (ANOVA), (4) multiple regression/correlation analysis (MRC), and (5) statistical analysis using the computer. Most of the course will focus on analysis of variance and multiple regression. Required Book Keppel, G. & Zedeck, S. (1989). Data analysis for research designs: Analysis of variance and multiple regression/correlation approaches. W.H. Freeman and Company: New York. ISBN 0-7167-1991-6. Optional Book Page, M. C., Braver, S. L.,& MacKinnon, D. P., (2003). Levine's SPSS Guide to SPSS for Analysis of Variance , Mahwah, NJ: Erlbaum. ISBN 0-8058-3096- Statistical Analysis on the Computer We will use the computing laboratory in the psychology building for class sessions with the Teaching Assistants (Room B 153). Students will learn to use the Statistical Package for the Social Sciences (SPSS) and the Statistical Analysis System (SAS). The class web site can be found at: http:www.public.asu.edu/~davidpm/classes/psy330/. The use of the web site in the class will depend on class interest and time.

Course Requirements

  1. Exams There will be three exams during the course and a final exam. When there is not a 100% score on an exam, the average of the three top scores will be used as the maximum number of points.
  2. Discussion Students are expected to participate in class discussions and ask for clarification. Attendance will be taken several times during the course. The course will employ active and cooperative learning techniques.
  3. Homework There will be approximately nine homework problem sets depending on material covered. The lowest homework score will be dropped. Ten percentage points are taken off the score for each day that the homework assignment is turned in late. The due date for a homework may be changed if information required for the homework is not covered during class time. Some of the homework will require running computer programs and interpreting the results. Grading
  4. Exams during the semester 54%
  5. Final Exam 20%
  6. Homework 24%
  7. Class Participation/Attendance 2% Final grades will be based on the percentage out of 100. January 17 (HW1 Out) Introduction, History, Principles of Research Design Required Reading Chapter 1: Introduction Chapter 2: Principles of Research Design January 22 and 24 (HW1 In; HW2 Out) Design continued, Basic Topics in Statistical Analysis Required Reading Chapter 3: Overview of Design and Analysis Chapter 4: Basic Concepts in Statistical Analysis

February 19 and 21 (HW4 Out) Coding of Group Membership Required Reading Chapter 9: General coding of Experiments for MRC Chapter 10: Overall analysis of the Single Factor Design February 26 and 28 (HW4 In; HW5 Out) Coding Continued and Contrasts Required Reading Chapter 10: Overall analysis of the Single Factor Design continued Chapter 11: Detailed Analysis of the Single Factor Design March 5 and 7 (HW5 In: Review Questions Out) Correction for Multiple Comparisons, Trend Analysis and the Two Factor design Required Reading Chapter 12: Correction for Multiple Comparisons Chapter 23 (pages 486-499): Analysis of Trend March 12 and 14 Spring Break No Class March 19 and 21 Two-Factor Design Required Reading Chapter 13: Introduction to the Two-Factor Design Chapter 14: The analysis of Main Effects and Simple Effects Second Exam March 21 March 26 and 28 (HW6 Out) Repeated Measures Designs Required Reading Chapter 16: The Within-Subjects Single-Factor Design Chapter 17: The Mixed Two-Factor Design

April 2 and 4 (HW6 In; HW7 Out) Repeated Measures Designs Continued and Mixed Designs Required Reading Chapter 17: The Mixed Two-Factor Design continued Chapter 18: Detailed Analysis of the Mixed Factorial Design