J. Scott Long - Indiana University
Departments of Sociology and Statistics
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Scott Long is Distinguished Professor and Chancellor's Professor of Sociology and Statistics at Indiana University, Bloomington. He teaches quantitative methods both at Indiana University and at the ICSPR Summer Program. His earlier research examined gender differences in the scientific career. In recent years, he has collaborated with Eliza Pavalko, Bernice Pescsolido, John Bancroft, Julia Heiman and others in studies of health and aging, stigma and mental health, and human sexuality.   Scott Long photo

 

News

Stat 503: Categorical Data Analysis is being taught Fall Semester 2011. Enrollment information is here.

SugarSync: After Microsoft updated FileSync to FileMesh I starting having serious problems in which "synced" files were corrupted. I have moved to SugarSync which has the advantage of also syncing your files to the cloud. Prices are reasonable. For smaller projects, I continue to prefer Dropbox. 22Aug2011

ICPSR Sumer Program, July 11-15, 2011 in Berkeley, CA: Models for Categorical Outcomes Using Stata: Specification, Estimation, and Interpretation. Enrollment information is here. The course web site is under construction here. E-mail jslong@indiana.edu with questions.

Applications for Soc 751 are due February 15, 2011. First come, first served! As of February 17, 2011 there are only two seats left in the class.

Workflow in Data Analysis. The Workshop in Methods is this talk by Scott Long on Friday, September 3 at 2:30 in Woodburn Library Room 200. The workflow of data analysis 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 (perhaps, most important) producing replicable results. Most of our work in statistics classes focuses on estimating and interpreting models. In most “real world” research projects, these activities 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 replicable results. A recent entry on a blog discussing Professor Long’s recent book, The Workflow of Data Analysis Using Stata, claimed: “The publication of [this book] may even reduce Indiana’s comparative advantage of producing hotshot quant PhDs now that grad students elsewhere can vicariously benefit from this important aspect of the training there.” 1Sep2010

Dropbox: I have found Dropbox to be a very handy utility for moving my own files as well as for sharing with collaborators. 13Aug2010

Blalock Lectures at ICPSR SP 2010: Comparing groups in regression models for binary outcomes. Principles of workflow in data analysis. 13Aug2010

Stata 11 and Workflow: notes search allows you to search notes. 31Jul2009

Stata 11 and SPost: Due to changes in Stata 11, prchange and countfit sometimes ran incorrectly. As of 31Jul2009 these ado files have been updated to prchange (v 1.8.1) and countfit (0.8.1) to work with Stata 11. If you encounter problems, let me know.

SPost and factor variables: spost9_ado does not work with factor variables in Stata 11.

Group comparisons in logit and probit using predicted probabilities This working paper from 2005 is now a complete draft. The paper can be downloaded here. For further information on details on using Stata for group comparisons, go here. 2009-06-25.

The Workflow of Data Analysis using Stata began shipping on November 20, 2008. To order a copy, go here. For more information about the workflow project, check the Workflow Web Site.

Soc S651 - Multivariate Analysis for Social Science will be taught in Spring 2009. For details, check here. As of 2008-11-24, the class is filled with a waiting list.

Workshop on Categorical Data Analysis for ICPSR's Summer Program in 2008. The class is was held in Ann Arbor, Michigan from June 9, 2007 to June 13, 2008. The workshop examines the most important regression models for binary, ordinal, nominal and count outcomes. A variety of practical methods for interpreting the nonlinear models are presented. Statistical testing and assessing fit is also illustrated with a series of real-world examples. For further information, check here.

Recommended reading: The Art of Scientific Writing by Ebel, Bliefert, and Russey (2004).

Bureau of Social Science Research is sponsoring a visit by Dr. Edward J. Hackett on September 24 and 24. This marks the opening of the Bureau. For further information, check here

Group comparisons in nonlinear regression models at Notre Dame. April 18, 2007.

The Department of Statistics at Indiana University was created on July 1, 2006. Click here for detials.

The 2nd Edition of Regression Models for Categorical Outcomes Using Stata by J. Scott Long and Jeremy Freese is published. Rich Williams' review of the book is here. For the table of contents and purchasing information, click here. Information about the book and associated software, click here. November 29, 2006

From Scarcity to Visibility: Gender Differences in the Careers of Doctoral Scientists and Engineers by J. Scott Long is now available from the National Academy Press. This book documents the changes that have occurred in the presence and participation of women in science and engineering from 1973 to 1995. For more information, click here.

The Chinese edition of Regression Models for Categorical and Limited Dependent Variables has been published. For details, click here.

Research and Teaching

For information on recent classes, click here.

For information on current research, click here.

© 2010 J. Scott Long