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

January Residency

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)

 

February Residency

Feb 28:

Friday

Inferential Statistics

CLT and Conf Intervals

CLT Simulation by Satish

 

 

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

 

Read this paper

(ANOVA on Social Media Metrics)

Feb 29:

Saturday

Hypothesis Testing Intro

(MathTutorDVD.com)

Chi-square Goodness of Fit test (zedstatistics)

Power and Sample Size

(StataCorp)

Statistical vs Practical Significance

One Sample t-test in SPSS

Paired Sample t-test

Independent 2-sample t-test

Chi-square indepence test in SPSS

Ethics of Hyp.Testing:

p-Hacking (Veritasium)

p-Hacking (John Oliver)

Another paper using ANOVA to read

March Residency

Mar 27:

Friday

Regression Analysis

Shoe Size Example

     Shoe Size Data

Lung Capacity Example

     Lung Capacity Data

Burns & Burns: 15-16

Paper – False Recall

Death to Dichotomizing

 

Notes by Satish 1

(Simple Regression)

Notes by Satish 2

(Multiple Regression)

Assignment 2 due: Hypothesis Testing

Mar 28:

Saturday

Special Cases in Regression

 

1.   Hair Color – Dummy Variables

2.   Employee Errors – Multicollinearity data set

3.   Interaction Effect (Moderation) Data

 

Interaction New Example

Multicollinearity Ht. Data 

Heteroscedasticity Data

 

Why SEM?

 

Moderation Paper to read.

 

April Residency

Apr 24:

Friday

 

Mediation Effects

Mediation Effect Example

 

Questionnaire Design & Sampling

Burns & Burns: 9, 19-20

 

Mediation Methods Paper (Hayes 2009)

 

Moderation in SPSS Video

Mediation in SPSS Video

(Both with Hayes’ Process)

Assignment 3 due: Regression

 

BDNF Data

Apr 25:

Saturday

Team Project Presentations

Burns & Burns: 21

Project written report due by Apr. 28th.