October 1, 2002

Statistical Methods: A Second Course in Psychological Statistics
PSY 330 David MacKinnon (727-6120; david.mackinnon@asu.edu)
Monday and Wednesday 10:40-11:55; Room B139
Monday 12-12:30 Computer Laboratory B153
Office Hours (Mon. 12:30-2:00, Tues. 11:00-2:00)
Room 315 and 362 (Lab.) Technology Building

Teaching Assistant: Julia Steinberg (965-0053; julia.steinberg@asu.edu)
Office Hours in Computer Laboratory B153 (Mon 2-4, Tue/Thu 1:30-3:00)
Fall 2002

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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.

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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.

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Statistical Analysis on the Computer

We will use the computing laboratory in the psychology building for some class sessions (Room B153). Students will learn to use the Statistical Package for the Social Sciences (SPSS) and the Statistical Analysis System (SAS). SAS and SPSS are available for use on a home computer via a modem connection to the Statistical Unix server. Students should contact ASU computing personnel regarding connecting their home computer with the ASU computer.

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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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

1. Exams during the semester 54%
2. Final Exam 20%
3. Homework 24%
4. Class Participation/Attendance 2%
Final grades will be based on the percentage out of 100.

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August 26 and 28 (HW1 Out)

Introduction, History, Principles of Research Design

Required Reading
Chapter 1: Introduction
Chapter 2: Principles of Research Design
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September 2(No Class) and 4 (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

Chapter 5: Basic Statistical Concepts in Correlation and Regression

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September 9 and 11 (HW2 In; HW3 Out)

One-way Between Subjects ANOVA

Required Reading
Chapter 5: Basic Statistical Concepts in Correlation and Regression
Chapter 6: Basic Concepts in ANOVA

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September 16 and 18 (HW3 In; Review Questions Out)

Correlational analysis of Experimental data, Significance and Hypothesis Testing

Required Reading
Handouts

Chapter 7: The Correlational analysis of Experimental Data

Chapter 8: Significance and Hypothesis Testing

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September 23 and 25

Significance and Hypothesis Testing and Review

Required Reading
Chapter 8: Significance and Hypothesis Testing

First Exam September 25

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September 30 and October 2 (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
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October 7 and 9 (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

Chapter 23 (pages 486-499): Analysis of Trend

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October 14 and 16 (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 13: Introduction to the Two-Factor Design

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October 21 and 23

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 October 23

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October 28 and October 30 (HW6 Out)

Repeated Measures Designs

Required Reading
Chapter 16: The Within-Subjects Single-Factor Design
Chapter 17: The Mixed Two-Factor Design

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November 4 and 6 (HW6 In; HW7 Out)

Repeated Measures Designs Continued and Mixed Designs

Required Reading
Chapter 17: The Mixed Two-Factor Design continued

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November 11 (No Class) and 13 (HW7 In: Review Questions Out)

Mixed and Repeated Measures Designs continued

Required Reading
Chapter 18: Detailed Analysis of the Mixed Factorial Design

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November 18 and 20 (HW8 Out)

More on mixed designs and higher order designs.

Third Exam November 18

Chapter 19: Higher-order Factorial Designs

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November 25 and 27 (HW8 In; HW9 Out)

More complicated designs continued and Computer Programming

Required Reading

Chapter 19: Higher-order Factorial Designs
Chapter 20: Nonexperimental Research

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December 2 and 4 (HW9 In; Review Questions Out)

Nonexperimental Research continued

Required Reading

Chapter 20: Nonexperimental Research
Chapter 21: Other Applications of MRC to Nonexperimental Research

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December 9

Nonexperimental Research continued

Required Reading

Chapter 25: Epilogue

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Final Exam tentatively scheduled for Monday December 16, 12:20-2:10. After the second exam, I will verify the room for the final exam.

*Note that this syllabus might change. Exam dates may change.

Class Line Number 52194