http://csscr.washington.edu


CSSCR Autumn 2016, Number III


From the Director

Our third series of short courses this Autumn will happen in the last two weeks of the quarter. The courses are open to anyone in the UW community. Course descriptions and sign-up information follows.

CSSCR has a new member department begining this Autumn. We welcome the Statistics Department to the CSSCR family. Although many of our services are available to anyone in the UW comminity, there are some services and resources available only to member department, like the ability to use labs and access to our research computing facilities. Statistics will now contribute to staffing our consulting center.

For the past 15 years, Kathy Davis has been a valued part of the CSSCR team, splitting her time between Nursing and CSSCR. She was recently offered, and accepted, a full-time position in Nursing. We will greatly miss Kathy at CSSCR, but wish her all the best in her exapnded position in Nursing.

There are some new faces at CSSCR. We welcome Carol Frescoln as the new project assistant on the CSSCR team. Carol will be around late mornings to early afternoons. Before coming to CSSCR, Carol was at the Burke Museum. We also welcome our newest consultants: Yunkang Yang, Baishakhi Basu and Nathan Abe.

Please share this newsletter with your colleagues and students. Individuals can subscribe here. Our newsletter archive can be found here.


Short Course Offerings

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.

To register for the above classes, follow this link.


New Data at CSSCR

New ICPSR Releases

CSSCR maintains the UW membership in the Inter-university Consortium for Political and Social Research (ICPSR). All members of the UW community have direct access to ICPSR’s data archive of over 8,200 studies. Please contact us if you have questions or need more information about using this resource for accessing data or adding your data to the ICPSR repository. ICPSR announcements can be found here.




The Center for Social Science Computation and Research (CSSCR) is an interdepartmental computer center in the College of Arts and Sciences at the University of Washington. CSSCR provides facilities and consulting support for computing activity related to teaching and research at the University.

Hours of Operation

Autumn Quarter

Consulting and Computers: Monday to Thursday: 8:00am to 9:00pm, Friday: 8:00am to 5:00pm
Office: Monday to Friday: 8:00am to 12:00pm, 1:00pm to 5:00pm
We are closed weekends and for university holidays

Contact Us

Center for Social Science Computation & Research
University of Washington
110 Savery Hall
Box 353345
Seattle, Washington 98195 U.S.A.
(206) 543-8110
csscr@u.washington.edu
http://csscr.washington.edu
If you would like to request academic accommodations due to a disability, please contact Disabled Student Services, 448 Schmitz, 543-8924 (V/TDD). If you have a letter from Disabled Student Services indicating you have a disability that requires academic accommodations, please present the letter to Darryl Holman at CSSCR so we may discuss the accommodations you might need for class.