Workshop in Methods (WIM) Archive: 2010-2011

Spring 2011

Friday, January 14, 2011

Bayesian Data Analysis

Dr. John K. Kruschke

2:30-4:30pm, Woodburn Hall 200

This workshop introduces you to Bayesian data analysis, hands on. Intended audience is graduate students and others who want a ground-floor introduction to Bayesian analysis. No mathematical expertise is presumed. Complete computer programs will be provided free: find installation instructions and more information about the workshop at before arriving. You do not need to bring a notebook computer to the workshop, but you are invited to bring one so that you can run the programs and see how their output corresponds with the presentation material. The two-hour workshop will rocket through the following topics, allocating about a half hour to each. Why you should be embarrassed to report p values and why you should be proud to do Bayesian analysis. Bayes' rule, grid approximation, and R. Markov Chain Monte Carlo and BUGS. This does not involve any physical restraints or insects. Unfortunately it also does not involve Monte Carlo. Linear regression. If time: Hierarchical models. But there won't be time. So you'll have to take the course or read the book.

John Kruschke is five-time winner of Teaching Excellence Recognition Awards from Indiana University, where he is Professor of Psychological and Brain Sciences, and Adjunct Professor of Statistics. He has written an introductory textbook on Bayesian data analysis; see also the articles linked above. His research interests include models of attention in learning, which he has developed in both connectionist and Bayesian formalisms. He received the Troland Research Award from the National Academy of Sciences.

Friday, January 21, 2011

Introduction to SAS Workshop, Part I

Stephanie Dickinson

3:00-5:00pm, Library 402

Instructor Stephanie Dickinson is from the Indiana Statistical Consulting Center. Registration required. Go to: WIM is co-sponsoring this software workshop in partnership with the IU Department of Statistics and the Indiana Statistical Consulting Center.

Saturday, January 22, 2011

Social Network Analysis

Ann McCranie


Social network analysis, a term that encompasses a large number of approaches to studying social phenomenon, is a growing and popular field. The goal of the workshop is to provide a broad overview of this diverse field of inquiry, to talk practically about what it means in terms of data collection and analysis, and to expose participants to some of the most helpful resources in the field. Time permitting, the instructor will be available to help participants get started with a couple of useful network software tools.

This brief introductory workshop will seek to address several key issues: 1. What is a social network, anyway? 2. How can I get network data? 3. How do I conduct whole/complete network analysis? (Note that this is different than egocentric analysis, which we will only briefly touch on.) 4. What tools are available to me to get started on my own? (Will include a short tutorial on some common software tools, some of which will be available in lab.) 5. Who does this work and where can I learn more?

Instructor Ann McCranie is from the Department of Sociology. This workshop is hosted the IU Sociology Department's Indiana Intensive Didactic Seminar. There are a limited number of spaces. Please contact Shawna Rohrman ( for information about registration and location.

Saturday, January 22, 2011

Introduction to Stata Workshop

Joseph D. Wolfe

11:00am-3:00pm, Library 402

Stata is a widely used, comprehensive software package for data analysis, data management, and publication-quality graphics. This 4-hour workshop will introduce a range of Stata's capabilities, from basic features to more complicated commands. Instruction will be "hands-on,” i.e., the instructor and the attendees will work with Stata together. There are also class exercises that allow attendees to explore Stata on their own.

No prior knowledge of Stata is assumed. Some prior knowledge of basic statistics and linear models is helpful but not required.

WIM is co-sponsoring this software workshop in partnership with the IU Department of Statistics and the Indiana Statistical Consulting Center.Registration required: link

J.D. Wolfe is a graduate student in the sociology department at Indiana University.

Presentation slides (2011 version) | Exercises (zip) | Website

Saturday, January 22, 2011

Introduction to R Workshop

Erika Hernandez

1:00-5:30pm, Library 402

R is a free statistical programming language that provides many powerful tools for visualizing and analyzing data. R is used by statisticians around the world and is becoming increasingly popular in a variety of quantitative disciplines.

This four-hour workshop will introduce the fundamentals of R. During the first session (1:00 to 3:00), participants will become familiar with the R user environment, basic data structures, and syntax. Additionally, methods for creating and importing data files and downloading and using additional packages will be covered.

The second session (3:00 to 5:00) will mainly focus on statistical topics: plotting data, computing descriptive statistics, and performing elementary statistical tests. As time permits, additional topics may include the general linear model (Regression and ANOVA) and writing functions.

This workshop assumes no prior knowledge of R. Participants may attend one or both sessions, but the second session will build on principles taught in the first session. Some prior knowledge of statistics is helpful, but not required.

Instructor Erika Hernandez is from the Indiana Statistical Consulting Center. WIM is co-sponsoring this software workshop in partnership with the IU Department of Statistics and the Indiana Statistical Consulting Center. Registration required. Go to:

Friday, January 28, 2011

Introduction to SAS Workshop, Part II

Stephanie Dickinson

3:00-5:00pm, Library 402

Instructor Stephanie Dickinson is from the Indiana Statistical Consulting Center. WIM is co-sponsoring this software workshop in partnership with the IU Department of Statistics and the Indiana Statistical Consulting Center. Registration required. Go to:

Friday, February 18, 2011

Motivations and Tools for Spatial Data Analysis

Dr. Katherine J. Curtis

2:00-5:00pm, Ballantine Hall 118

This workshop introduces the motivations for spatial data analysis with hands on application of foundational methods. The discussion portion of the workshop will center on the statistical and conceptual motivations for using spatial data analysis techniques. The hands on component will focus on polygon data (e.g., counties), and exploratory spatial analysis and spatial regression analysis techniques using the software package GeoDa. No GIS expertise is necessary, but a solid understanding of multivariate regression analysis will be useful.

Dr. Curtis is Assistant Professor of Community and Environmental Sociology at the University of Wisconsin. Together with Dr. Paul Voss, she teaches the ICPSR course in spatial regression. Dr. Curtis' work addresses the causes and consequences of migration and population composition, population and environment, and inequality. Her analytical approach aims to address spatial and temporal aspects underlying these demographic processes. Her work engages multiple literatures across disciplines to gain greater substantive and technical insight. Curtis’ work has been published in the field’s top journal and featured in special publications and conferences focusing on spatial demography.

Friday, February 25, 2011

A Kuhnian Perspective on Publication Biases and Low Inter-Rater Reliability

Dr. Carole J. Lee

1:30-3:30pm, Woodburn Hall 200

The incentives, review processes, and norms of peer review provide the foundation for sustaining the piecemeal contribution and critique of knowledge in scientific communities. However, a growing industry of empirical research challenges the normative well-functioning of expert peer review. Inter-rater reliability rates for expert reviewers is low enough to be considered “poor” by psychometric standards. Moreover, publication biases skew the results of meta-analyses and suppress the communication of results that should inform the design of future studies. Rather than adopt a normatively pessimistic interpretation of these results, I suggest that a Kuhnian perspective about the flexibility with which shared evaluative criteria can be interpreted and applied can reframe these results in ways that construe them as normatively appropriate while suggesting new empirical and normative questions. Although this Kuhnian perspective does not ameliorate problematic secondary consequences of low inter-rater reliability rates and publication biases (such as the “luck of the reviewer draw” and skewed meta-analyses), I suggest that modifications to discipline-wide communication structures can be adopted to address these concerns.

Dr. Leeis Assistant Professor of Philosophy at the University of Washington. She received her BA from Wellesley College and her PhD from the University of Michigan in 2006. Her primary research interests are in philosophy of psychology, epistemology, and philosophy of social science.

This is the first in a series of WIM-hosted presentations that will address the topic of "Going amiss in scientific research." Thanks to Jutta Schickore (IU - History and Philosophy of Science) for the ideas and the support.

Friday, March 4, 2011

A Workshop in Spatial Analysis: Measuring Exposure to Location-Based Risk Factors During Daily Activities in Urban Landscapes

Dr. Douglas J. Wiebe

2:00-4:30pm, Woodburn Hall 200

We are conducting a population-based case-control study in the City of Philadelphia to investigate how the nature and whereabouts of adolescents’ daily activities relate to the likelihood of being shot in an assault. Each subject is interviewed using portable, computerized mapping technology, to create a dynamic graphic that provides a minute-by-minute record of how, when, where, and with whom the subject spent time over the course of the past 24 hours as he or she walked or otherwise traveled from location to location and activity to activity. Afterward, characteristics of streets, buildings, and neighborhood populations are linked into each subjects’ space-time activity path. The ultimate goal is to inform communities of place-based risk factors and to identify opportunities to make communities safer. Implications of the methodologic approaches to this innovative space-time analysis will be presented.

Dr. Wiebeis Assistant Professor of Biostatistics and Epidemiology at the University of Pennsylvania Medical School. He received his BA from University of Calgary, his PhD from UC-Irvine, and did post-doc work on violence prevention at the UCLA School of Public Health. His research interests include environmental risk factors for injury, the impact of daily routines on health-related behavior, and innovative ways of measuring environmental exposures and difficult-to-detect outcomes (e.g., domestic violence).

Friday, March 25, 2011

Working with SPSS, ArcGIS, and ICPSR Data: A Praxis for Mapping Data Quickly and Easily

James Russell

1:30-2:30pm, Ballantime Hall 308

In this workshop, we will use data available through the Inter-University Consortium for Political and Social Research (ICPSR) and “shapefiles” (geospatial vector data format developed by ESRI) found through the Bureau of the Census to display county level data through ArcGIS. SPSS will be used to select pertinent cases and variables, and to export as a file compatible to work in ArcGIS. The intention of this workshop is to provide a straightforward, hands-on tutorial on using GIS to easily represent the wealth of georeferenced data, with ArcGIS compatible (.shp) files, available online. No prior knowledge of ArcGIS or SPSS is necessary.

James Russell serves as the Technology Director for Political Science, the Data Laboratory and Archive, and the Interdisciplinary Experimental Laboratory. He is IU’s Official Representative (OR) for ICPSR and teaches as an adjunct faculty in SPEA. Registration is required; please contact James Russell (

Wednesday, March 30, 2011

Using Provalis Software for Qualitative Social Science Research

Dr. Normand Péladeau

2:30-5:00pm, Indiana Memorial Union Maple Room

In the last few decades, we have seen many new developments in domains related to text analysis, such as natural language processing, computational linguistics, information retrieval and text mining. Many of those developments were designed to provide new tools to analyze large collections of text data, extract information, identify patterns and discover hidden relationships. While some may adopt an optimistic view and see those new methods as more efficient alternatives to the more traditional approaches to text analysis, we believe a more realistic and pragmatic approach combining several methods is warranted. We will illustrates strengths and weaknesses of qualitative analysis, quantitative content analysis and text mining techniques and see how one could profit from combining different approaches and integrating new techniques to achieve more valid and reliable conclusions in less time. We will also stress the importance of constantly mixing qualitative data with quantitative information to get new insights.

Normand Péladeau is the president of Provalis Research, a software company based in Montreal. He has a doctorate degree in psychology and more than 20 years of experience as a social science researcher and as a consultant in research methodology for large corporations, governmental agencies, and international organization. He trained hundreds of people to text analysis techniques for a wide range of applications such as political sciences, media analysis, survey research, business intelligence, market research, aviation safety, international crime analysis.

Friday, April 1, 2011

Ethical and Political Considerations in Doing Research in Communities of Color

Dr. John H. Stanfield II

1:30-3:30pm, Woodburn Hall 200 CANCELLED

Political and ethical dos and don'ts in doing interviewing (survey and oral history) , observational (ethnographic), and historical (archival) research in impoverished urban communities of color will be discussed as well as practical strategy options to build inter-cultures of trust and rapport. Also, some political and ethical problems culturally different and middle class researchers of the same cultural ancestry may experience while "in the community" and while attempting to get feedback while in the community and after departing.

Dr. Stanfield is a sociologist, historian, and religious studies scholar in the Department of African American and African Diaspora Studies at Indiana University, where he is also Director of The Research Program on Transcultural and Intercultural Philanthropic Studies. He is a historical sociologist of knowledge and a community oriented public sociologist who has written extensively on the politics and ethics of epistemologies, theories, and methods in qualitative and quantitative research in non-white communities. His most recent publications, a trilogy, will be published by Left Coast Press this summer: Historical Foundations of Black Reflective Sociology; Black Reflective Sociology: Epistemologies, Theories, and Methods; and Rethinking Race and Ethnicity in Research Methods.

Saturday, April 2, 2011

Demystifying Qualitative Analysis

Tim Hallett

10:00am-2:00pm, Schuessler Institute for Social Research WORKSHOP FULL

WIM is co-sponsoring this workshop with the IU Sociology Department's Indiana Intensive Didactic Seminar Series. Registration is required and there are only a small number of slots left. Please contact Shawna Rohrman ( for registration.

Dr. Hallettis an assistant professor in sociology at Indiana University.

Friday, April 15, 2011

Age-Period-Cohort Analysis: New Models, Methods, and Empirical Analyses

Dr. Kenneth C. Land

3:00-5:00pm, Woodburn Hall 200

The age-period-cohort model identification and estimation problem has been defined and studied in demography, epidemiology, statistics, and the social sciences for about four decades. This presentation will briefly review the early literature on this problem. It then will describe models and methods developed recently for APC analysis for three research designs: 1) age-by-time period tables of rates (the classical context of the APC identification problem), 2) microdata from repeated cross-section survey designs, and 3) accelerated longitudinal cohort designs. Empirical applications to data from all three designs will be presented.

Dr. Land is the John Franklin Crowell Professor of Sociology and Demography at Duke University. His research interests are in the development of mathematical and statistical models and methods for substantive applications in demography, criminology, and social indicators/quality-of-life studies. Ken is the author or co-author of over 200 publications. He has been listed on the Institute for Scientific Information Highly Cited webpage as one of the 400 most highly cited social scientists in recent years. Ken is an elected a fellow of five professional societies, including the American Statistical Association, the American Association for the Advancement of Science, the Sociological Research Association, the American Society of Criminology, and the International Society for Quality-of-Life Studies.