代写HUDM 5122: Applied Regression Analysis Fall 2024调试SPSS

日期：2024-10-16 06:02

HUDM 5122: Applied Regression Analysis

Fall 2024

Course Syllabus

COURSE DESCRIPTION

This course covers the theory and application of linear regression models. Topics include least squares estimation theory, simple and multiple regression, including the use of categorical predictors (ANOVA and ANCOVA), and logistic regression for dichotomous outcome variables. Application of the above topics are addressed using SPSS Statistics.

COURSE OUTCOMES

Students will have the opportunity to :

1. Import and prepare data for analysis

2. Learn the theory behind regression analysis

3. Analyze data and perform. regression analysis via statistical software (SPSS)

DELIVERY

This section of HUDM 5122 is an online course. All course materials will be delivered online and the course will not meet in person. We will utilize the Canvas site for course content, discussion, exercises and assessments. The midterm and final exams will take place online, within Canvas on October 17th and December 19th respectively from 7:00 – 9:00 pm.

DESIGN

Course materials will be posted on the Canvas site on a regular basis. Office hours will take place within Canvas as well via Zoom. Times and dates are noted above.

There will be two types of exercises available. (1) Assignments will be assigned on a regular basis (5-6 total) and submitted to be graded. Assignments will be submitted as a single PDF document (Only one PDF document will be accepted). You will have 4 – 7 days to complete assignments (late submission is not accepted). Assignments must be completed individually. (2) Problem sets will be posted. These will not be handed in and collaboration is encouraged.

REQUIRED TEXT

Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation

analysis for the behavioral sciences (3rd Ed.). Mahwah, NJ: Lawrence Erlbaum Associates. [ISBN: 0-8058-2223-2]

Other Good Texts (not required)

Pedhazur, Elazar, J. (1997). Multiple Regression in Behavioral Research (3rd ed.). Belmont, CA. Wadsworth Publishing.

A more mathematical regression book:

Kutner, M., Nachtsheim, C., Neter, J. (2004). Applied Linear Regression Models (4th ed.). New York: McGraw-Hill Irwin.

APA Formatting Guide:

American Psychological Association. (2020). Publication Manual of the American Psychological Association (7th Ed.). Washington, DC: Author.

COURSE REQUIREMENTS AND GRADES

Grades will be assigned based on the following criteria: assignments (20%), midterm (40%) and the final (40%).

ASSIGNMENTS

All work submitted electronically will only be accepted as PDF documents. No other file formats will be accepted. Late assignments will not be accepted. Assignments are to be completed individually. The assignments (5) require the use of SPSS. The TC computer labs at 345 Macy and 242 Horace Mann are equipped with SPSS and it is also available as a free download from TC computing.

Below is the general outline (subject to slight modifications) for the course with associated chapters within Cohen, et al. Additional required readings will be made available on the course site.

OUTLINE

Date                                                        Topics                                       Chapters

September 3th                              Review/Introduction                                  1

September 11th                              Simple Regression                                  2, 4

September 23rd                             Multiple Regression                                 3,10

October 10th                    Curvilinear relationships and interactions                 6, 7

October 17th                                    MIDTERM Exam

October 21st                           Categorical Predictors/ANOVA                            8

November 6th                                    Factorial ANOVA                                    9

November 20th                                        ANCOVA                                         8

December 4th                                  Logistic Regression                                 13

December 13th                                           GLM

December 19th                                     FINAL EXAM