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

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.






Jan 24:


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:


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:


Inferential Statistics

CLT and Conf Intervals


Hypothesis Testing Intro


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:


Hypothesis Testing continued

Ethics of Hyp.Testing:

p-Hacking (Veritasium)

p-Hacking (John Oliver)


Mar 27:


Regression Analysis

Burns & Burns: 15-16

Assignment 2 due: Hypothesis Testing

Mar 28:


Multiple Regression

Why SEM?


Apr 24:



Questionnaire Design & Sampling

Burns & Burns: 9, 19-20

Assignment 3 due: Regression

Apr 25:


Team Project Presentations

Burns & Burns: 21

Project written report due by Apr. 28th.