EDB 9080: Quantitative Methods I
Schedule for
Spring 2022
Instructor: Dr. Satish
Nargundkar Office Hours: By
appointment |
E-Mail: snargundkar@gsu.edu Phone: (678) 644 6838 |
Tentative
Schedule [Click here for Syllabus]
Please review relevant topics from Dr.
Lange’s stat prep course as needed, based on the schedule you see below.
For instance, review descriptive stats before
the January residency.
|
Topic |
Resources |
Assignment |
January Residency |
|||
Jan 28: Friday |
Data Types,
Basic Terminology, Dependent and Independent variables Descriptive
Statistics |
Burns &
Burns: 7, 8, 10 |
Read
Piketty et al paper before class |
Jan 29: Saturday |
Principal
Components / Factor Analysis - |
Burns &
Burns, 18 UCLA
Digital Research and Education, Stat Consulting TIBCO Data
Science Textbook (formerly Statsoft Electronic Textbook) |
(Is Big 5
Universal?) (Big 5
Inventory) |
February Residency |
|||
Feb 25: Friday |
Quiz1 Inferential
Statistics |
Burns &
Burns:10, 12, 13, 14 (Data Science
Video) Hypothesis
Tests (G. Martin) |
Assignment 1 due: Description, Factoring (ANOVA on
Social Media Metrics) |
Feb 26: Saturday |
(MathTutorDVD.com) Chi-square Goodness of Fit
test (zedstatistics) (StataCorp) Statistical
vs Practical Significance |
Chi-square indepence test
in SPSS Ethics of
Hyp.Testing: p-Hacking (Veritasium) p-Hacking (John Oliver) |
|
March Residency |
|||
Mar 25: Friday |
Quiz 2 Regression
Analysis |
Burns & Burns:
15-16 |
Assignment
2 due: Hypothesis Testing |
Mar 26: Saturday |
Moderation
Paper to read. |
||
April Residency |
|||
Apr 22: Friday |
Quiz 3 Questionnaire
Design & Sampling |
Burns &
Burns: 9, 19-20 |
Assignment 3 due: Regression |
Apr 23: Saturday |
Team Project Presentations |
Burns &
Burns: 21 |
Project written report due by Apr. 24th. |