January 22, 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 157 Physical Education West Building
Monday 12-12:30 Computer Laboratory Psychology B153 
Office Hours (Mon. 12:30-2:00, Tues. 11:00-2:30) 
Room 315 and 362 (Lab.) Technology Building 
Teaching Assistant: Antonio Morgan-Lopez (965-0915; antonio.morgan-lopez@asu.edu

Office hours in Computer Laboratory B153

Office Hours 

Tuesday 8-10, Wednesday 12-3

Spring 2002

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Overview

The purpose of the course is to cover 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 Analysis 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 . 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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January 14 and 16 (HW1 Out)

Introduction, History, Principles of Research Design 

Required Reading
Chapter 1: Introduction
Chapter 2: Principles of Research Design 
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January 21 (No Class) and 23 (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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January 28 and 30 (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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February 4 and 6 (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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February 11 and 13

Significance and Hypothesis Testing and Review

Required Reading
Chapter 8: Significance and Hypothesis Testing

First Exam February 13
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February 18 and 20 (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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February 25 and 27 (HW4 In; HW5 Out: Review Questions 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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March 4 and 6 (HW5 In)

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 

Second Exam March 6 
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March 11 and 13 (No Class - Spring Break)


March 18 and 20 (HW6 Out)

Two-Factor Design 

Required Reading

Chapter 13: Introduction to the Two-Factor Design 
Chapter 14: The analysis of Main Effects and Simple Effects 

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March 25 and 27 (HW6 In: HW7 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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April 1 and 3 (HW7 In; Review Questions Out)

Repeated Measures Designs Continued and Mixed Designs 

Required Reading
Chapter 17: The Mixed Two-Factor Design continued 
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April 8 and 10 

Mixed and Repeated Measures Designs continued 

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

Third Exam April 10 
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April 15 and 17 (HW8 Out)

More on mixed designs and higher order designs.


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April 22 and 24 (HW8 In; HW9 Out)

More complicated designs continued and Computer Programming

Required Reading
Chapter 19: Higher-order Factorial Designs
Chapther 20: Nonexperimental Research
 

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April 29 (HW9 In; Review Questions Out)

Nonexperimental Research

Required Reading
Chapter 21: Other Applications of MRC to Nonexperimental Research 
Chapter 25: Epilogue
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Final Exam tentatively scheduled for Monday May 6, 12:20-2:10. After the second exam I will verify the room for the final exam. 

*Note that this syllabus might change.
 

Class Line Number 77839