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Indiana University Bloomington

SSRC 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 wim-l-subscribe@indiana.edu.


Fall 2016

 

Friday, August 26, 2016

Dr. J. Scott Long, "Reproducible Results and the Workflow of Data Analysis"

1-2:30pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

Many disciplines are paying increasing attention to reproducible results. The fundamental idea is that other scientists should have access to your data and be able to obtain the same results—this is reproducibility. More generally, your results should be robust so that other scientists can confirm your findings using other data. Increasingly journals require authors to provide their data and analysis file before a paper is accepted to verify that that results. Producing reproducible results is highly dependent on your workflow for data analysis. This workflow encompasses the entire process of scientific research: Planning, documenting, and organizing your work; creating, labeling, naming, and verifying variables; performing and presenting statistical analyses; preserving your work; and ending with reproducible results. Most of the work in statistics classes focuses on estimating and interpreting models. In “real world” research projects, these activities may involve less than 10% of the total work. Professor Long’s talk is about the other 90% of the work. An efficient workflow saves time, introduces greater reliability into the steps of the analysis, and generates reproducible results.

Dr. Long is Distinguished Professor and Chancellor’s Professor of Sociology and Statistics at Indiana University.

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Friday, September 2, 2016

Dr. Regina Werum, "How Do you Write a Successful Grant Proposal? And Where Are the Funding Opportunities?"

2-3:30pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)

 

Dr. Werum is a Professor of Sociology at the University of Nebraska-Lincoln and a former Program Director (Sociology) at the National Science Foundation.

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Workshop in Methods & IT Training

Thursday, September 8, 2016

IT Training, "SAS: The Basics"

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

This workshop is part 1 of our SAS workshop series for Fall 2016, offered in partnership with UITS IT Training. Reserve your spot for Part 1 by registering at http://go.iu.edu/1jxL.

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.

 

Friday, September 16, 2016

JangDong Seo, "An Introduction to SAS"

2-4:30pm, Social Science Research Commons Grand Hall (Woodburn Hall 200)


SAS is the de facto standard in industries for data management and statistical computing. This workshop will touch the base of SAS and mostly statistical analyses, such as ANOVA, Regression, etc. The topics will include:

  • General understanding of SAS
  • Writing SAS programs
  • Reading data from external files
  • Data management
  • Descriptive statistics
  • Statistical analyses
  • Advanced SAS programming

JangDong Seo is a Statistical Consultant/Lecturer in the Department of Statistics at Indiana University.

This workshop is part 2 of our SAS workshop series for Fall 2016, offered in partnership with UITS IT Training. Join us for part 1, “SAS: The Basics” with IT Training, on Thursday, October 27, 2016, 5:30-8:30pm. Reserve your spot for Part 1 by registering at http://go.iu.edu/1jxL.

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Workshop in Methods & IT Training

Thursday, October 27, 2016

IT Training, "SPSS: The Basics"

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

This workshop is part 1 of our SPSS workshop series for Fall 2016, offered in partnership with UITS IT Training. Reserve your spot for Part 1 by registering at http://go.iu.edu/1jxM.

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.

 

Friday, October 28, 2016

Stephanie Dickinson, "Your Statistical Toolbelt"

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


This introductory workshop will give an overview of how to identify what types of data analysis tools to use for a project, along with basic “DIY” instructions. We will discuss the most common analysis tools for describing your data and performing significance tests (ANOVA, Regression, Correlation, Chi-square, etc), and how they should be selected based on the type of data and the type of research question you have. This is geared towards students or faculty beginning their foray into quantitative analysis of research data, or those who have been around but would like to step back and get a framework for how to navigate basic statistical methods.

Stephanie Dickinson is a Senior Statistical Consultant with the Department of Epidemiology and Biostatistics.

This workshop is part 2 of our SPSS workshop series for Fall 2016, offered in partnership with UITS IT Training. Join us for part 1, “SPSS: The Basics” with IT Training, on Thursday, October 27, 2016, 5:30-8:30pm. Reserve your spot for Part 1 by registering at http://go.iu.edu/1jxM.

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