CSSCR Courses



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Autumn 2016

Introduction to GIS with ArcMAP

Description:

This course will provide students with a broad overview of what geographic information systems (GISs) are and how social scientists can benefit from using them in their research. Students will explore basic GIS concepts through hands-on exercises using ArcMAP, part of ArcGIS (a widely used GIS software package), as well as freely available data sets.


Instructor: Will Brown, CSSCR Consultant
Date: Wednesday, 30 November 2016
Time: 11:30am - 12:20pm
Place: Savery 121
Register here.

Introduction to IRTPRO

Description:

IRTPRO is a program used for item calibration and item scoring based on Item Response Theory (IRT). This course will offer an explanation of IRT and an overview of the use of Maximum Likelihood (ML) procedures for item parameter estimation. This will be followed by a step-by-step tutorial for running the three most common types of models: Rasch/1PL, 2PL, and 3PL, plus a brief introduction to Differential Item Function (DIF) analysis if time allows.


Instructor: Gabby Gorsky, CSSCR Consultant
Date: Wednesday, 30 November 2016
Time: 2:30pm - 3:20pm
Place: Savery 121
Register here.

Introduction to Stata

Description:

Learn the basics of Stata so that you can understand do/log files, reading help files, and how to write code in order to perform data cleaning and statistical analysis. No experience in statistical programming necessary.


Instructor: Laine Rutledge, CSSCR Consultant
Date: Thurday, 1 December 2016
Time: 10:30am - 11:20am
Place: Savery 121
Register here.

Data Wrangling in R

Description:

This course will cover some of R's useful tools for data management and exploration. Most of class will be devoted to learning Hadley Wickham's excellent tidyr and dplyr packages. Attendees will be assumed to have basic familiarity with R. Yeehaw!


Instructor: Colin Beam, CSSCR Consultant
Date: Tuesday, 6 December 2016
Time: 5:00pm - 5:50pm
Place: Savery 121
Register here.

Introduction to Qualitative Research and ATLAS.ti

Description:

This course provides a brief introduction to computer software for qualitative data analysis, including a brief comparison of two options, ATLAS.ti and the cloud-based Dedoose. The class will then provide a practical introduction to working in ATLAS.ti, covering basic terminology and functionality of the program. This will include importing documents (text and other media types), coding and annotating documents, and exploring relationships through analysis and query tools. Time permitting, we may also briefly discuss best practices for data management.


Instructor: Carolina Johnson, CSSCR Consultant
Date: Wednesday, 7 December 2016
Time: 2:30pm - 3:20pm
Place: Savery 121
Register here.

Data Wrangling in R

Description:

This course will cover some of R's useful tools for data management and exploration. Most of class will be devoted to learning Hadley Wickham's excellent tidyr and dplyr packages. Attendees will be assumed to have basic familiarity with R.


Instructor: Stephanie Lee, CSSCR Consultant
Date: Thursday, 8 December 2016
Time: 10:30am - 11:20am
Place: Savery 121
Register here.

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