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Indiana University Bloomington

Workshop in Methods (WIM)

The Workshop in Methods (WIM) was created in 2009 with the mission of providing introductory education and training in sophisticated research methods to graduate students and faculty in the social sciences at Indiana University. Our goal is to supplement statistics and methods courses across the Bloomington campus with topical workshops led by leading methodological scholars from IU and across the United States.

WIM is currently directed by Stephen Benard, working with the WIM advisory committee and the Social Science Research Commons. The initial idea for WIM began with Scott Long, who discussed his vision with Dr. William Alex Pridemore. Pridemore created WIM and directed the series until 2013.

If you would like to receive updates from WIM – including announcements of upcoming presentations – you can join our mailing list by sending an email to

Spring 2017 Upcoming Workshops

For materials from past workshops, visit the archive page


Thursday, February 23, 2017

UITS IT Training, "SAS: The Basics" (registration required)

5:30-8:30pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)


SAS is a popular and powerful application that is used for data management and analysis in both industry and academia. This workshop is intended for those that are new to SAS or those who need a refresher of basic topics. Participants should have experience with Microsoft Windows file structure and basic statistical concepts. Working knowledge of Microsoft Word and EXCEL, as well as familiarity with basic programming concepts/logic, will be very helpful. Participants will learn about the SAS windowing environment, how to use the import wizard to get data into SAS, how to use DATA steps to create new variables or subset a dataset, and how to use basic PROC steps to examine data and compute descriptive statistics.

Register here | Add to my calendar: Google; IU Calendar; iCal (.ics)


Friday, February 24, 2017

NaLette Brodnax, "Introduction to Python and Introduction to Using APIs with Python"

1:30-4:30pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)


Part I: Introduction to Python (1:30pm)

Python is a widely used, general purpose programming language.  Part I of the workshop will introduce the basic elements of Python that are commonly used for data cleaning, analysis, visualization, and other applications. Participants will also learn how to set up a "development environment" for Python on their personal computer. Computers with Python pre-loaded are available in the SSRC on a first-come, first-served basis. This workshop is intended for social scientists who are new to programming. No experience is required.

Part II: Introduction to Using APIs with Python (3pm)

An application programming interface (API) is a tool that allows computers to communicate and share information. For social scientists, APIs can be useful for accessing data or services from firms, organizations, or government agencies. Part II of the workshop will introduce the use of APIs to obtain data from sources such as Survey Monkey, Twitter, or This workshop is intended for social scientists who are new to working with APIs, but have some familiarity with Python or have attended the Introduction to Python workshop.

NaLette Brodnax is a data scientist and joint PhD candidate at Indiana University Bloomington in the School of Public and Environmental Affairs and the department of Political Science.  Her fields of specialization include public policy, policy analysis, and quantitative research methodology.

Flyer | Add to my calendar: Google; IU Calendar; iCal (.ics)


Thursday, March 2, 2017

UITS IT Training, "SPSS: The Basics" (registration required)

5:30-8:30pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)


SPSS is a powerful statistics application. This workshop, which is intended for people who already have a basic understanding of statistics, introduces SPSS for performing common basic statistical analyses. Participants will learn the basic features of SPSS and how to use it to generate t-tests, linear regression, and descriptive statistics, and to interpret results.

Register here | Add to my calendar: Google; IU Calendar; iCal (.ics)


Friday, March 3, 2017

Mia Stephens, "Data Visualization and Analysis with JMP, Statistical Discovery Software from SAS"

1-3pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)


JMP is an easy-to-use, standalone statistics and graphics software from SAS Institute.  It includes comprehensive capabilities for every academic field, and its interactive point-and-click interface and linked analyses and graphics make it ideal for research and for use in statistics courses, from the introductory to the advanced levels.  JMP runs on Windows and Macintosh operating systems and also functions as an easy, point-and-click interface to SAS®, R, MATLAB and Excel.  Come and see how to use JMP for data summary, analysis, visualization and predictive modeling, with an emphasis on what’s new in our latest release, JMP 13. 


  • JMP basics:  Menus, help, navigation and the JMP interface, saving and sharing your work, getting data into JMP
  • Data summary and graphics:  Dynamic graphing with Graph Builder, geographic mapping, filtering data, creating tabular summaries, and other visualization tools
  • Basic data analysis (univariate, bivariate, and multivariate): Distribution, Fit Y by X, and Fit Model
  • Analyzing survey and unstructured text data:  Categorical analysis and Text Explorer
  • Resources for learning and teaching with JMP:  Learning Library, case study library, webinars, books with JMP, teaching modules and simulators
  • Other topics (upon request):  Multivariate analysis, predictive modeling, mixed models, time series, integration with other programs (SAS, R, Excel,…), and more.

Mia Stephens is a member of the JMP Academic Team. Prior to joining SAS, she was an adjunct professor of statistics at University of New Hampshire and a statistical trainer and consultant with the North Haven Group. A co-author of four books and several papers, she has developed training materials, taught and consulted within a variety of industries.

Flyer | Add to my calendar: Google; IU Calendar; iCal (.ics)


Friday, March 31, 2017

Heather Terhune Marti and Kevin Tharp, "Qualtrics Advanced Survey Software Tools"

2-4pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)


Qualtrics ( is a software package for collecting survey data that has been widely adopted by leading research universities and major corporations. Many IU departments and centers currently use Qualtrics, with more and more discovering the software’s usefulness each year. This hands-on workshop is directed toward current users who have a basic knowledge of Qualtrics and wish to learn about more advanced features.

Among the features that we’ll cover:

  • Importing contact lists
  • Embedding data from your contact lists inside your survey instrument
  • Creating separate survey paths and modules
  • Personalizing your email invitation messages
  • Coding complex skips including screening questions

We will allow time at the end to address specific questions from attendees, and also discuss what we learned from the Qualtrics Insight Summit.

Heather Terhune Marti and Kevin Tharp work at the IU Center for Survey Research. Combined they have 40+ years of survey research experience and 10+ years using Qualtrics.

Flyer | Add to my calendar: Google; IU Calendar; iCal (.ics)