1 | Page PSYC 5389 001 CONTEMPORARY PROBLEMS IN PSYCHOLOGY: MODERATED MULTIPLE REGRESSION ANALYSIS SPRING 2008 I BASIC INFORMATION Instructor: Dr. Lauri Jensen-Campbell Office: LS 406 Phone: 817-272-5191 (please no voicemail) E-Mail: [email protected] Office hours: Tuesdays 11:00-12:00P; Thursday 1:00-1:50P or by appointment Meeting time: Tuesdays and Thursdays 9:30A – 11:00P II PURPOSE Course Description: This course is intended to provide a graduate level overview of multiple regression (MR) as a general data-analytic technique. Students should already be familiar with the computation of elementary statistics and such concepts as sampling distributions and statistical hypothesis testing. The course will emphasize the conceptual underpinnings of the techniques rather than mathematical computations. Course Learning Goals and Objectives: This course is designed to provide hands-on experience in conducting regression analyses, specifically moderated multiple regression, with SPSS-X. Computer applications of the statistical techniques that are covered will be emphasized. Homework exercises will be included to illustrate designs, analyze data, and provide experience in writing in APA style. Of course, it is impossible to touch upon all of statistical issues related to multiple regression. However, in combination with the readings, we will obtain a overview of the basic statistical techniques used in regression analyses. III COURSE REQUIREMENTS REQUIRED TEXTS Cohen, J., Cohen, P., West, S., & Aiken, L. (2003). Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Hillsdale, NJ: Lawrence Erlbaum Associates, Publishers. Aiken, L.S. & West, S.G. (1991). Multiple Regression: Testing and Interpreting Interactions. Newbury Park, NJ: SAGE Publications. REQUIRED LAB MATERIALS USB storage device to save homework and class exercises.2 | Page EXAMS There will be two examinations. The first exam (midterm) will be entirely take-home. The final may include take-home portions as well as in-class portions. HOMEWORK It is critical that you learn how to conduct and interpret regression analyses using computer software. Each homework assignment will be completed by the following week in which it assigned. No late assignments will be accepted. PROJECT You will be required to find a data set related to your field of study that can be analyzed using regression procedures. The purpose of the paper is to provide hands-on experience in conducting regression analyses and interpretation within your research area. You must have at least two independent variables and their cross product in the analysis. The data set must be approved by the date noted on the syllabus. A 10-15 page, stapled write-up in APA style is due on the day listed on your syllabus. The paper will include all sections required in an APA paper (i.e., title page, abstract, introduction, method, results, discussion, references, tables, and figures). SPSS printouts should be included in an appendix. Projects not written in APA style will be penalized a LETTER GRADE. III POINT DISTRIBUTION AND GRADING POLICY Homework (10 points apiece - 10 Assignments) 100 Midterm 100 Final 100 Paper 100 ---------------------------------------------------------------------------- Total 400 GRADING 90% - up A 80%-89% B 70% -79% C 65-69% D Below 65% F ACKNOWLEDGEMENTS I wish to acknowledge the help of Leona Aiken during the preparation of the course. Portions of Leona Aiken’s notes may be used in the PowerPoint presentations. This material is copyrighted and will be acknowledged as (Aiken, 2000) when used in the PowerPoint presentations. All notes, handouts, and data sets are the property of the instructor, are being copyrighted, and are for student use only.3 | Page IV COURSE OUTLINE I reserve the right to modify the schedule and assignments based on how the course is proceeding. I will not, however, add additional assignments/topics or change the grading policy. DATE TOPIC ASSIGNMENT January 15/17 Introduction to Regression Analysis CCWA Chapter 1 Bivariate Association and Scatterplots January 22/24 Simple/Bivariate Regression Analysis CCWA Chapter 2 HOMEWORK 1: BIVARIATE REGRESSION ANALYSES January 29/31 Two Predictor Multiple Regression/ Partial Relationships CCWA Chapter 3 HOMEWORK 2: TWO PREDICTOR MULTIPLE REGRESSION February 5/7 SPSP Convention – NO CLASS February 12/14 Assumptions in Regression CCWA Chapter 4 HOMEWORK 3: MULTIPLE REGRESSION February 19/21 Regression Diagnostics CCWA Chapter 10 HOMEWORK 4: CONDUCTING AND INTERPRETING DIAGNOSTICS February 26/28 Data-Analytic Approaches/Hierarchical Analysis CCWA Chapter 5 HOMEWORK 5: HIERARCHICAL/STEPWISE REGRESSION March 4/6 Interactions among Continuous Variables CCWA Chapter 7 HOMEWORK 6: REGRESSION WITH PRODUCT TERMS A&W–Chapters 1&2 March 11/13 Testing Simple Slopes in Regression DEADLINE FOR DATA SET APPROVAL Take-Home Midterm Handout (March 11) March 18/20 SPRING BREAK March 25/27 Categorical or Nominal Independent Variables CCWA Chapter 8 Take-Home Midterm DUE – March 25 A&W – Chapter 3 HOMEWORK 7: REGRESSION WITH PRODUCT TERMS April 1/3 Interactions with Categorical Variables CCWA Chapter 9 HOMEWORK 8: REGRESSION WITH DUMMY VARIABLES A&W – Chapter 7 April 8/10 Testing and Probing Three-Way Interactions A&W – Chapter 4 HOMEWORK 9: TESTING 3-way INTERACTIONS WITH REGRESSION April 15/17 Higher Order Effects and Interactions A&W – Chapters 5-6 HOMEWORK 10: REGRESSION -HIGHER ORDER INTERACTIONS April 22/24 Curvilinear Relationships & Transformations CCWA Chapter 6 April 29/May 1 Catch-up Week FINAL PROJECT DUE (April 29) May 8 FINAL (8 - 10:30