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Friday, October 22, 2010

QIPSR Workshops, 2010-2011


Dec. 2nd & 3rd, Research TalkJames Gimpel, Political Scientist, University of Maryland.
Dec. 2, Thursday: GIS workshop from 3-4:30 (1645 POT): "New Directions in the Study of Political Geography" Demonstration of GIS software (ArcGIS, GeoDa) for a general audience.
○ Dec. 3, Friday: Research Talk from 2-4 (18th Floor POT, West End Room): "Voter Migration and the Geographic Sorting of the American Electorate"

February 18, Friday, Grant Workshop, "An Insider's Guide to Social Science Grants"
  2:00-4:00 pm, Whitehall Classroom Building 102
     ○ PanelJanice Almasi (Education Curriculum and Instruction), Tom Janoski (Sociology), Genia Toma (Martin School), Jim Ziliak (Economics), Matthew Webster (Behavioral Science), Lawrence Gottlob (Psychology, NSF), Anna Secor (Geography)
   4:30 pm-, Faculty Club Reception, Conference & First Ladies Room

March 9, Wednesday, Methods Workshop, Daniel Hopkins (Political Scientist, Georgetown)
  3:00-5:00 pm, President's Room, Singletary Center
  Workshop on automated content analysis of digitized text. (Co-sponsored with Communications College)

March 10-11, Thursday-Friday, Conference on “Immigration Policy in an Anti-Immigrant Era”
  10:00 am-4:00 pm, Thursday, President's Room, Singletary Center
  10:00 am-1:00 pm, Friday, 230 New Student Center
1. Douglas Massey (Demographer, Sociologist), Princeton. Co-author of “Brokered Boundaries: Creating Immigrant Identity in Anti-Immigrant Times, 2010.”
2. Paul Sniderman (Political Scientist, Stanford). Research on attitudes toward immigrants and immigration in Italy, Netherlands, and (currently) Denmark. 
3. Michael Jones Correa (Political Scientist, Cornell), author of “Latino Lives in America: Making It Home.”
4. Daniel Hopkins (Political Scientist, Georgetown), author of several articles on how national trends influence local reactions to immigration policy.
(Co-sponsored with UK Center for Poverty Research.)

Summer Statistical Workshops
 May 17th to 19th (Tuesday to Thursday), Gatton
1. Paul Voss (Sociologist, UNC, Chapel Hill, Odum Institute) will present a 3-day workshop on spatial regression analysis.  Paul introduces R, some Bayesian modeling and a simple software package, GeoDa, as well.  Morning sessions are devoted to conceptual topics, with afternoon sessions in the Gatton computer lab. (Co-sponsored with the Tracy Farmer Institute and Statistics.)

May 23rd to 25th (Monday to Wednesday), Gatton
2. Alan Acock (Oregon State) will present a 3-day workshop on multilevel modeling using Stata that extends to longitudinal analysis.  Alan is author of "A Gentle Introduction to Stata" (the 3rd ed. includes a section on multiple imputation).   Morning sessions are devoted to conceptual topics, with afternoon sessions in the Gatton computer lab. (Co-sponsored with UK Center for Poverty Research.)

Week of June
3. J.S. Butler (Martin School) will present a 2-day workshop on programming in Stata. (Co-sponsored with the Martin School)

Thursday, October 21, 2010

SEM course offered next Spring

Hongwei "Patrick" Yang (Educational Policy Studies and Evaluation) will be offering EPE 773 Section 4: Applied Structural Equation Modeling with an application in latent growth curve modeling (LGM) next spring. Free SPSS AMOS software will be used. Some basic statistics is assumed (sample statistics, sample moments, hypothesis testing, regression models) and such topics will be reviewed at the beginning of the course. Matrix algebra is not required because the course is applied.

Spring 2011: EPE 773 Section 4
Applied Structural Equation Modeling (SEM):
With an application in growth curve modeling
SEM is a highly popular technique for analyzing survey/instrument data and understanding relationships between latent and observed variables. SEM is also an important tool for analyzing longitudinal data. The course aims to help students understand and become competent users of SEM. SPSS AMOS will be used in the course.
Topics include the following:
1. Path analysis of observed variables
2. Measurement model under confirmatory factor analysis
3. General structural equation models containing both measurement & structural models
4. Growth curve modeling from the SEM perspective for analyzing longitudinal data