代写HUDM 5122: Applied Regression Analysis Fall 2024调试SPSS
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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