Workshop in Methods (WIM) Archive: 2009-2010

Spring 2010

Saturday, January 16, 2010

Introduction to Stata Workshop

Joseph D. Wolfe

Woodburn Hall 220C

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.

This is a workshop is sponsored by the Workshop in Methods (WIM) and the Indiana Statistical Consulting Center (ISCC).

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

Friday, January 22, 2010

The Center for Survey Research at IU and recent advances in survey methods

John Kennedy

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

The Center for Survey Research at Indiana University (CSR) is a medium-sized academic organization that focuses on academic and policy research. The CSR is a nationally recognized Center that has a strong reputation for technological knowledge, methodological innovation, and data quality. The CSR has been a leader in the use of web technology for survey processes. John will discuss the role of the CSR here at IU, address recent advances in survey methods, and answer questions you may have about both.

John Kennedy has directed the IU Center for Survey Research since 1987. He received his PhD in sociology from Penn State. He has worked for the Census Bureau (including the American Housing Survey and the 1980 decennial census) and is also currently the associate chair of the IUB IRB, chairs the IUB research integrity committee, and is Adjunct Associate Professor of Sociology.

Saturday, January 23, 2010

Introduction to R

Leslie M. Blaha

1:00–5:00pm, Woodburn 220C

Friday, January 29, 2010

Two talks on Statistical graphics for visualizing data

William Jacoby

9:00-9:45am (introduction), 10:00am-12:00pm, and 2:30-4:30pm, Woodburn Hall 200

These lectures cover methods for obtaining visual displays of quantitative information. They discuss ways to, quite literally, look at data. This is important because graphical representations avoid some of the restrictive assumptions and simplistic models that are often encountered in empirical analyses. These methods are very useful in the social sciences, where the robustness characteristics of traditional statistical techniques often are pushed to their limits. The lectures focus primarily on introductory concepts and graphical displays for univariate data, then move on to graphs for bivariate, multivariate, and categorical data. The main objective is to help you learn to construct a pictorial abstraction that highlights the salient aspects of your data without distorting any features or imposing undue assumptions.

Dr. Jacoby is Professor of Political Science at Michigan State University. He is also a Research Scientist at the University of Michigan and Director of the Inter-University Consortium for Political and Social Research (ICPSR) Summer Program in Quantitative Methods. He received his PhD from the University of North Carolina, and he recently served as Editor of the Journal of Politics (2001-2004). Professor Jacoby’s research interests include mass political behavior (public opinion and voting behavior) and quantitative methodology (measurement theory, scaling methods, and statistical graphics).

Saturday, January 30, 2010

Introduction to SAS Workshop

Indiana Statistical Consulting Center

1:00-5:00pm, Woodburn Hall 220

Friday, February 12, 2010

Statistical inferences: uses, abuses, and misconceptions

Michael Trosset

12:00-2:00pm, Woodburn Hall 200

Statistical inference is the act of drawing conclusions about populations from random samples. Using probability models, statisticians can analyze the behavior of different inferential procedures and make precise statements about how well they perform. Dr. Trosset will describe several types of inference, emphasizing the proper interpretation of each. Basic concepts will be illustrated with simple examples, assuming only an elementary knowledge of statistical methodology. The presentation will first consider what attributes of a population may be of interest. The second part will sketch several approaches to inference and discuss the proper interpretation of fundamental concepts like significance level and confidence coefficient. The third part will describe the logic of hypothesis testing in more detail.

Michael W. Trosset received his Ph.D. in statistics from the University of California, Berkeley. He is currently Professor of Statistics at Indiana University and Director of the Indiana Statistical Consulting Center. His textbook, An Introduction to Statistical Inference and Its Applications with R, was published by CRC Press in June 2009.

Friday, March 26, 2010

The Importance of Measurement Reliability: Using Homicide Rates in US Cities as an Example

Colin Loftin

3:30-5:30pm, Woodburn Hall 200

Sociologists and criminologists are ambivalent about crime statistics like those generated by the Uniform Crime Reporting System (UCR). On one hand the data are characterized as incomplete and inaccurate, with one frequently cited source saying they are “not worth the paper they are written on.” On the other hand, UCR data are widely used with little regard to validity because they are the only data that provide national coverage and information about local areas. I argue that neither approach is productive. What is needed is research on the sources of measurement error so that the data can be used reasonably. I describe some of the problems with UCR homicide data, then demonstrate that with adjustments that they are extremely reliable and provide the basis for precise estimates of patterns and trends.

Colin Loftin is Professor of Criminal Justice at SUNY-Albany and Co-Director of the Violence Research Group. He received his PhD in Sociology from UNC-Chapel Hill, and has held faculty positions at Brown, U. of Michigan, and U. of Maryland. His research interests include understanding violence as a social process extending beyond individual action, improving the quality of data on the incidence and nature of crime, the design and evaluation of violence prevention policies, and population risk factors for violence.

Friday, April 2, 2010

A General Panel Model with Random and Fixed Effects: A structural Equation Approach

Ken Bollen

Woodburn Hall 200

On April 1, 2010, Professor Bollen will give IU Sociology's annual Schuessler Lecture.

Fixed and random effects models for longitudinal data are common in the social sciences. Their primary advantage is that they control for time-invariant omitted variables. However, analysts face several issues when using these models. One is the uncertainty of whether to apply fixed effects (FEM) versus random effects (REM) models. This paper presents a general panel model that includes the standard FEM and REM as special cases. It also presents a sequence of nested models that provide a richer range of models that researchers can easily compare with likelihood ratio tests and fit statistics. Furthermore, researchers can implement our general panel model and its special cases in widely available structural equation models software. An extended empirical example on the cost of motherhood illustrates our results.

Professor Bollen is Director of the Odum Institute for Research in Social Science and the H.R. Immerwahr Distinguished Professor of Sociology at the University of North Carolina at Chapel Hill, where he is also a member of the Statistical Core, a Fellow of the Carolina Population Center, and adjunct professor of Statistics. Bollen is a Fellow of the American Association for the Advancement of Science. The ISI named him among the World’s Most Cited Authors in the Social Sciences. He is coauthor of Latent Curve Models: A Structural Equations Approach (with P. Curran, 2006, Wiley) and author of Structural Equation Models with Latent Variables (1989, Wiley) and over 100 published papers. His primary areas of statistical research are structural equation models, measurement models, and latent growth curve models.

Friday, April 16, 2010

Issues in Video Scholarship: Using the Annotator's Workbench to Create Peer-Reviewed Collections

Clara Henderson & Will Cowan

11:00am-1:00pm, Woodburn Hall 200

The Annotator’s Workbench is a software tool for the segmentation and annotation of digital video developed by the Ethnographic Video for Instruction and Analysis Digital Archive Project. The forty-eight collections in the EVIADA Project are in various stages of completion. Seven have been published online and are accessible to IU faculty and students. They represent 1,270 hours of video and a diverse range of performance traditions from around the world collected via ethnographic fieldwork. Annotating involves creating a glossary, citations, transcriptions, and bibliography, as well as writing in-depth descriptions of each video segment. For this presentation, William Cowan and Clara Henderson describe how the AWB was developed to meet the preservation, access, and analysis needs of ethnomusicologists and demonstrate the capabilities of the software and its potential uses in various areas of scholarship beyond ethnography.

Clara E. Henderson is Associate Director for Projects at IU's Institute for Digital Arts and Humanities and Associate Director of the Ethnographic Video for Instruction and Analysis Digital Archive Project. She holds a Ph.D. in Folklore and Ethnomusicology and her research interests include the music and dance of Africa and the African Diaspora, religious expression, visual media, and technology.

William G. Cowan is the Manager of Software Development at IU's Institute for Digital Arts and Humanities, working with IUB arts and humanities faculty on the development of digital projects. Prior to this he managed software development for the Ethnographic Video for Instruction and Analysis Digital Archive Project, designing and implementing the Annotator's Workbench, a tool for the segmentation and annotation of digital video.