Managing Statistical Research: The Workflow of Data Analysis

Instructor(s):

  • J. Scott Long, Indiana University

Managing Statistical Research teaches you how to plan, organize, document, and execute sophisticated quantitative analyses regardless of the statistical methods used. The goal is to help you develop an workflow that allows you to work efficiently and accurately while producing results that are replicable. Topics include:

  • Planning your research.
  • Documenting your work.
  • Organizing, backing up, and archiving files.
  • Writing robust, effective programs for data analysis.
  • Using automation (basic programming methods) to work more accurately and efficiently.
  • Preparing data for analysis.
  • Systematically conducting statistical and graphical analyses.
  • Incorporating results into papers and presentations while maintaining their provenance.
  • Backing up your files.
  • Collaboration and data analysis.

Lectures, exercises and applications are designed to help you develop a workflow for your own research.

Most of the class deals with strategies and procedures that are appropriate when working with any statistical package, such as SAS, Mplus, R, Stata, or SPSS. Some parts of the class show how to implement an effective workflow using Stata. However, these examples can readily be translated into other statistical packages. The most important things you will learn in this workshop are not specific commands, but rather principles and strategies that apply to any software.

Participants should read the detailed information on the workshop webpage.

If you have questions, feel free to contact the instructor at jslong at indiana dot edu.

Fee: Members = $1500; Non-members = $3000

Tags: workflow, Stata

Course Sections

Section 1

Location: ICPSR -- Ann Arbor, MI

Date(s): July 7 - July 11

Time: 9:00 AM - 5:00 PM

Instructor(s):

  • J. Scott Long, Indiana University

Syllabus:

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