EDB 9080: Quantitative Methods I

Syllabus for Spring 2020

 

 

Instructor: Dr. Satish Nargundkar 
Office: RCB 727, 35 Broad St., ATL

Office Hours:  By appointment 

E-Mail: snargundkar@gsu.edu
Website:
www.nargund.com/gsu  

Phone: (678) 644 6838  

 

Links to lecture slides, assignment details, and other resources will be added over time.

Changes to this schedule may be necessary based on class progression any changes will be communicated to the class as appropriate.

 

 

Topic

Resources

Assignment

Jan 24:

Friday

Course Overview

Data Types, Basic Terminology, Dependent and Independent variables

Descriptive Statistics

Burns & Burns: 7, 8, 10

Standard Deviation Exercise

 

Excel Spreadsheet

 

Lung Capacity Data

Read Piketty et al paper before class

 

Questions to think about as you read the paper

 

Jan 25:

Saturday

Sample Variance (why n-1?)

Principal Components / Factor Analysis -

Interpreting SPSS Output

(Dr. Todd Grande, Youtube)

Factor Data

 

Burns & Burns, 18

UCLA Digital Research and Education, Stat Consulting

 

Statsoft.com online textbook

 

Satish & Milind Paper

Read this paper

(Is Big 5 Universal?)

Related Survey

(Big 5 Inventory)

 

Feb 28:

Friday

Inferential Statistics

CLT and Conf Intervals

 

Hypothesis Testing Intro

(MathTutorDVD.com)

Power of a test

Statistical vs Practical Significance

Burns & Burns:10, 12, 13, 14

Central Limit Theorem

(Data Science Video)

 

Hypothesis Tests (G. Martin)

Choosing a Test (XLSTAT)

 

 

Assignment 1 due: Description, Factoring

Feb 29:

Saturday

Hypothesis Testing continued

Ethics of Hyp.Testing:

p-Hacking (Veritasium)

p-Hacking (John Oliver)

 

Mar 27:

Friday

Regression Analysis

Burns & Burns: 15-16

Assignment 2 due: Hypothesis Testing

Mar 28:

Saturday

Multiple Regression

Why SEM?

 

Apr 24:

Friday

 

Questionnaire Design & Sampling

Burns & Burns: 9, 19-20

Assignment 3 due: Regression

Apr 25:

Saturday

Team Project Presentations

Burns & Burns: 21

Project written report due by Apr. 28th.