Indiana University Bloomington

Sociology S751
Managing Statistical Research: The Workflow Of Data Analysis

Contact: Scott Long (jslong@indiana.edu)
Offered: Summer Session:1st 4wk 2015
Class Time: All day
Class Days: M, Tu, W, Th, F
Capacity: 15 or more
Pre-Requisites: Prior class in data analysis
Algebra Required: No
Calculus Required: No
Contact Person for Authorization: Scott Long (jslong@indiana.edu)
Instructor: Scott Long
Days Per Week Offered: 5
Website: http://www.indiana.edu/~jslsoc/teaching_WFiu.htm
Syllabus: No Syllabus Avaliable
Keywords: reproducible results; workflow; data anlaysis
Description: 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.
Books: Scott Long, Workflow of data analysis using Stata. (Stata is not required for the class).
Substantive Orientation: Social, behavior, health, policy science.
Statistical Orientation: Applied
Applied/Theoretical: Applied
Formal Computing Lab: Yes
Software: Stata
How Software is Used: Use statistical software for data management and analysis
Problem Sets: Yes
Data Analysis: Yes
Presentation: Yes
Exams: No
Comments: Check http://www.indiana.edu/~jslsoc/teaching_WFiu.htm for details.