University of Massachusetts Amherst

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Applied Regression with R for Social Science Researchers

Monday, May 19, 2014 - 9:00am to Tuesday, May 20, 2014 - 3:00pm
W37E Machmer Hall

R is a free, open source programming language that gives empirical researchers a powerful set of tools for regression analysis. Workshop participants will learn how to import and export data, perform exploratory data analysis, run multiple regressions, conduct hypothesis testing, and estimate fixed and random effects models in the R environment.

This class is geared toward social science researchers who work with regression models to analyze data in their particular field. This workshop is appropriate for researchers who have some experience with R, but are seeking additional help with multiple regression. Participants will learn how to import and export data, perform exploratory data analysis, run multiple regressions, conduct hypothesis testing, and estimate fixed and random effects models in the R environment. R is a free, open-source programming language that gives empirical researchers a powerful set of tools for regression analysis.

The first day will focus on getting you comfortable working in the R environment and running a regression model. We will cover estimating multiple regression models, and the tools needed to run them. This includes importing and plotting data, specifying a model, checking model assumptions, reading output, and hypothesis testing. The second day will focus on multiple regression extensions, including estimating fixed and random effects models with panel data, and interpreting output from these models. Participants are encouraged to bring their own data on the second day. 

Workshop runs May 19 and 20, 9 a.m. to 3 p.m. Lunch will be provided.

Register here.

Instructor: Christopher Burns

Software note: The instructor will be using the R-Studio environment for this course. R and R Studio are free for any user to download through the Internet.  You can download R (must be downloaded before installing R-studio) at http://cran.r-project.org/, and R-Studio at http://www.rstudio.com/ide/download/.

 

Payment Details

  • Five College Student: $100
  • Five College Faculty: $200
  • Non-Five College Student: $225
  • Non-Five College Faculty: $325

Payment is due two weeks before workshop start date. Failure to pay by then may result in the loss of your seat to a registrant on the waitlist.

ISSR accepts payments by departmental recharge form or personal check. If you are paying from departmental funds, ask your bookkeeper to contact Karen Mason for the recharge form and instructions for completing. If paying by personal check, please make it out to "University of Massachusetts" and note in the lower left corner the name of the workshop you are registering for. A receipt can be sent to you on request. ISSR cannot accept credit or debit cards.

Send payment to:
Karen Mason
W34A Machmer Hall
University of Massachusetts
240 Hicks Way
Amherst, MA 01003-9278