J. Scott Long - Indiana University
Department of Sociology | Department of Statistics
Home Teaching Research SPost Commands Workflow of Data AnalysisContact and vita Links Recommendations FTP downloads
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

Soc 751: The workflow of data analysis (1st Summer Session 2013; May 7 orientation. May13-May 24: Lectures and labs. May 27-31: Independent work) This intensive class deals with the entire process of research: planning, documenting, and organizing your work; creating, labeling, naming, and verifying variables; performing and presenting statistical analyses; preserving your work; and, critically, producing replicable results. Most classes in statistics focus on estimating and interpreting models. In "real world" research, these activities often involve less than 10% of the total work. This workshop is about the other 90% of the work. Contact Scott Long for authorization to enroll. 25Feb2013

ICPSR Summer Program Workshop on The Workflow of Data Analysis using Stata: June 17-21, 2013 at the Center for Research on Families at the University of Massachusetts-Amherst. For details, check here. Contact Scott Long if you have questions. 25Feb2013

ICPSR Summer Program Workshop on Models for Categorical Outcomes Using Stata: July 8-12, 2013 at the University of Michigan-Ann Arbor. For further details, check here. Contact Scott Long if you have questions. 25Feb2013

Soc 651: Multivariate Analysis is being taught Spring Semester 2013. Details on the class are here. 25Feb2013

Regression Models for Nominal and Ordinal Outcomes can be downloaded here; updated on 25Feb2013. Your comments are appreciated.

SPost and factor variables: spost9_ado does not work with factor variables in Stata 11. There is a test version of SPost that uses factor variables. For details, contact me at jslong at indiana dot edu. 21Feb2013

Stat 503: Categorical Data Analysis is being taught Fall Semester 2012. Enrollment information is here.

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 at indiana dot 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. 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).

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.

© 2013 J. Scott Long