Welcome

IRiSS/MAPSS Reception Please join us for an IRiSS/MAPSS reception and the first presentation of certificates in methods training. RSVP for the IRiSS/MAPSS Reception by clicking here.

The Methods of Analysis Program in the Social Sciences (MAPSS) is intended to enhance the quality and vitality of empirical scientific research done by students and faculty throughout the social sciences at Stanford.

With each passing year come many new and important innovations in techniques for collecting social science data and for analyzing such data to yield insights into the human experience.

To assure that Stanford scholars keep abreast of these developments and share resources across campus to maximize our effectiveness, MAPSS will serve as an information clearinghouse and an enterprise to foster and encourage cross-disciplinary collaboration and invigoration and exchange of expertise.

MAPSS will also serve as an outreach organization to bring expertise from other academic campuses and non-academic settings throughout the US and the rest of the world to campus to enrich Stanford scholarship.

One of MAPSS's first missions has been to centralize a database of information about all of the courses on data collection and data analysis techniques that are available on campus and may serve the needs of Stanford graduate students in the social sciences.

Another MAPSS mission will be to sponsor and co-sponsor lectures on campus by Stanford faculty and by scholars from elsewhere on methods of data collection and data analysis. The colloquium series calendar is listed on this website.

Simon D. Jackman
Director, Methods of Analysis Program in the Social Sciences
Professor of Political Science
Professor of Statistics (by courtesy)

Social Science Data and Software (SSDS) provides services and support to Stanford faculty, staff, and students in the acquisition of social science data and the selection and use of quantitative (statistical) and qualitative analysis software. SSDS staff provide these services in a variety of ways that include consulting, workshops and help documentation.

Upcoming talk

Multiple Imputation for Missing Data

May 20th, 2008. Education 128 This talk is a gentle introduction to the use of multiple imputation for handling missing data in social science research. After a brief review of conventional methods, we will examine the basic principles of multiple imputation, and will then work through a detailed example using PROC MI in SAS. Because this method assumes multivariate normality, the appropriate treatment of categorical variables will be considered. A second example uses the ICE command in Stata. Although this method is more appropriate for categorical variables, it comes with some theoretical and computational costs.

Bio: Paul Allison is Professor of Sociology at the University of Pennsylvania where he primarily teaches graduate-level methods and statistics. He is the author of several books and numerous articles on applied statistical methods, including Fixed Effects Regression Methods for Longitudinal Data Using SAS (2005), Missing Data (2001), Logistic Regression Using SAS (1999), and Survival Analysis Using SAS (1995). Much of his earlier research was focused on career patterns of academic scientists. A former Guggenheim Fellow, Allison received the 2001 Lazarsfeld Award for distinguished contributions to sociological methodology.

RSVP For Free Lunch To RSVP, please click here. Lunch is served at 12:00pm. Talk starts at 12:15pm.

IRiSS/MAPSS Reception Please join us for an IRiSS/MAPSS reception and the first presentation of certificates in methods training. RSVP for the IRiSS/MAPSS Reception by clicking here.

To find out about upcoming talks, take a look at our Colloquium Series Calendar