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This course will provide an overview of the classical linear regression model and extensions for models appropriate for non-continuous dependent variables. A major objective of the course will be to expose participants to appropriate analysis and interpretation of results derived from such models that are widely used across the social sciences. As such, a significant amount of time in the course will be devoted to training participants in the R statistical computing language, how to manage data sets, how to represent results graphically, and how to discuss the interpretation of results in text. Participants are expected to have a background in basic statistics appropriate for the social sciences and should understand concepts such as central tendency, variability, and hypothesis testing.
Rodolfo Espino is a political scientist in ASU’s School of Politics & Global Studies. He received his Ph.D. in 2004 from the University of Wisconsin-Madison. His teaching and research interests are in American politics, specifically political behavior, Congress, and race & politics. He also teaches topics on Advanced Maximum Likelihood Estimation at the Inter-University Consortium for Political & Social Research’s Summer Program at the University of Michigan.
May 14-18, 2012, 9:00am to 12:00 in the Lynn Ostrom lab (available seats 35).
The Institute for Social Science Research (ISSR) is piloting one week workshops focused on methods employed in the social sciences in May 2012. The workshops are open to all graduate students and faculty in the social sciences.
Availability is first-come-first-serve and the workshops are free during the pilot. We intend to expand the offerings next year if these workshops are in high demand.