EDB 9080: Quantitative Methods I

Schedule for Spring 2022

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

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	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 Qs to answer about the paper
Jan 29: Saturday	Sample Variance (why n-1?) Principal Components / Factor Analysis - Interpreting SPSS Output Factor Data	Burns & Burns, 18 UCLA Digital Research and Education, Stat Consulting TIBCO Data Science Textbook (formerly Statsoft Electronic Textbook) Satish & Milind Paper	Read this paper (Is Big 5 Universal?) Related Survey (Big 5 Inventory)
February Residency
Feb 25: Friday	Quiz1 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 26: 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 25: Friday	Quiz 2 Regression Analysis Shoe Size Example Shoe Size Data Lung Capacity Example Lung Capacity Data	Burns & Burns: 15-16 Paper – False Recall Death to Dichotomizing	Assignment 2 due: Hypothesis Testing
Mar 26: Saturday	Special Cases in Regression Why SEM?	Multicollinearity Data Heteroscedasticity Data Interaction Effect Data	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. 24^th.