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

Multicollinearity Ht. Data

Heteroscedasticity Data

 

Why SEM?

 

Moderation Paper to read.

 

April Residency

Apr 24:

Friday

 

Questionnaire Design & Sampling

Burns & Burns: 9, 19-20

Assignment 3 due: Regression

 

BDNF Data

Apr 25:

Saturday

Team Project Presentations

Burns & Burns: 21

Project written report due by Apr. 28th.