S751: Managing Statistical Research - The Workflow of Data Analysis
This class shows you how to work efficiently to create accurate, reproducible statistical results. Topics include: 1) planning your research; 2) documenting your work. 3) organizing, backing up, and archiving files; 4) writing robust and legible script files for data analysis; 5) using automation (basic programming methods) to work more accurately and efficiently; 6) preparing data for analysis; 7) systematically conducting statistical and graphical analyses; and 8) incorporating results into papers and presentations while maintaining their provenance. Lectures and exercises will help you develop a workflow that you can apply to your own research.
Semester(s): Summer I
Semester(s) Offered: Summer I
Class time: Monday, Tuesday, Wednesday, Thursday, Friday : All day
Instructor: Scott Long - firstname.lastname@example.org
Other Contact(s): Scott Long - email@example.com
Prerequisites: Prior class in data analysis
Algebra Required?: No
Calculus Required?: No
Day(s) per week offered: 5
Substantive Orientation: Social, behavior, health, policy science.
Statistical Orientation: Applied
Books used: Scott Long, Workflow of data analysis using Stata. (Stata is not required for the class).
Formal Computing Lab?: Yes
Software Used: Stata
How the software is used: Use statistical software for data management and analysis
Problem Sets: Yes
Data Analysis: Yes
Keywords: reproducible results; workflow; data anlaysis
Comments: Check http://www.indiana.edu/~jslsoc/teaching_WFiu.htm for details.