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The Art of the Merge: How to Merge Data in Three Statistical Software Programs

Presenter 1
Ashley Jester
Columbia University
Presenter 2
Tara Das
Columbia University
Presenter 3
Starr Hoffman
Columbia University
 "I need to add additional years to my dataset for a longitudinal analysis..."

    "I need to add additional variables to my dataset…"
    "I’ve found all of my variables and need to bring them into a single file…"

Have you ever heard (or said) this? Most researchers will need to merge data at some point in their research process as it is rare that all of the variables relevant to an analysis will be found in a single source. 

This workshop will focus on merging datasets using three statistical software packages: Stata, R, and SAS. It will teach the basic research principles and data requirements necessary to execute a successful merge and will apply this knowledge. Instructors will provide sample datasets and guide participants step-by-step through preparing data, completing a merge successfully, and validating results. This will be of use to researchers as well as to librarians and others who support research. If you need to merge data or assist those who do, this workshop will give you the knowledge to make your data merge a success.

Learning objectives:
  • Able to execute successful data merges in Stata, R, and SAS
  • Understand general principles necessary to complete a data merge in any application

Presentation File: 
  • IASSIST Quarterly

    Publications Special issue: A pioneer data librarian
    Welcome to the special volume of the IASSIST Quarterly (IQ (37):1-4, 2013). This special issue started as exchange of ideas between Libbie Stephenson and Margaret Adams to collect


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