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Summer 2014 Workshop Schedule Announced

Registration is now open for the 2014 summer workshops offered by the Institute for Social Science Research. All workshops are open to faculty and students at the University of Massachusetts, Amherst, at the other colleges in the Five College system, and at institutions outside of the Five Colleges.

Below are details about each workshop and links for additional information.

Qualitative Research Design: Considerations and Tensions
May 12, 9 a.m.-3 p.m., and May 13, 9 a.m.-2  p.m.
W32 Machmer
Instructors: Gretchen Rossman and Zeke Kimball
Veteran qualitative researchers discuss challenges and opportunities as they arise in designing thoughtful and responsive research; considering purpose, context, potential participants and ethics; modifying the initial design based on emerging understandings of the context; and the conceptual and epistemological assumptions and their implications.

Organizing and Analyzing Qualitative Data with NVivo 10
May 14-16, 9 a.m.-noon
W37E Machmer
Instructor: Jackie Stein
This workshop will teach the basics of using NVivo to code and analyze qualitative data. Topics covered are importing, organizing and beginning to code your data, then adding other data types such as demographic information, and beginning to explore your data with basic queries. More advanced ways of exploring coded data will also be discussed.

Applied Regression with R for Social Science Researchers
May 19-20, 9 a.m.-3 p.m. 
W37E Machmer
Instructor: Chris Burns
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.

Modeling Emergence: Computer Simulation of Social Dynamics
May 21-23, 9 a.m.-3 p.m. on Wednesday and Thursday, 9 a.m.-noon on Friday
720 W. E. B. Dubois Library
Instructor: James A. Kitts
This workshop will allow participants to understand some of the goals and methods of social simulation, give them hands-on experience in experimenting on theoretical models, and point them to resources to begin using these tools in their own work. Applications will include social networks, organizations and population health models.

Web Scraping for Text Analysis in R
May 27-28, 10 a.m.-5 p.m.
W37E Machmer
Instructor: Greg Matthews
Social science researchers are often interested in retrieving data from the internet. Often, this can be accomplished using so-called "web-scraping" techniques. This course introduces the statistical programming language R, then demonstrates techniques for web scraping using R. Finally, tools for analyzing text data in R will be presented.

Using MTurk and Qualtrics for Social Science Research
June 5-6, 10 a.m.-5 p.m.
E10 Machmer
Instructor: Bernhard Leidner
This workshop is an introduction to MTurk and its utility in facilitating social science research. Participants will learn how to screen data collected from MTurk samples and learn the basics of how to create online surveys and experiments in Qualtrics, an online survey tool that can be used in conjunction with MTurk.

Ethnographic Research in Meeting-Intensive Settings
June 9-10, 10 a.m.-4 p.m.
W32 Machmer
Instructors: Jen Sandler and Renita Thedvall
Participants will examine some challenges of data collection in meeting-intensive settings and issues that arise when analyzing meeting-based fieldnotes, transcripts and artifacts. Participants are encouraged to bring their own meeting ethnography challenges to the session, as there will be time to discuss research design, data collection and more.

Introduction to Network Analysis Using R
June 16-17, 9 a.m.-4 p.m.
W37E Machmer
Instructor: Bruce Desmarais
This course is an introduction to network analysis in R, providing an as-needed introduction to R programming and covering the basics of network analysis, including terminology; data collection/storage; and basic description. Advanced topics in description and exploration, such as graphical representation and community detection, will also be considered.