Sociology 7130 001 Statistics II Spring 2008 University of Utah MW 1 00 PM 2 20 PM 101 BEH S Instructor Vincent Kang Fu Office 303 BEH S Email vincent fu soc utah edu Phone 801 585 5930 Office hours After class and by appointment Course website http www soc utah edu vfu soc7130 Course summary This course covers statistical techniques used in sociology and other social sciences Building on Sociology 6120 this course introduces students to current statistical methods beyond OLS regression Topics we will cover include models for categorical data including binary ordinal and unordered dependent variables frequency counts and censored dependent variables Additional topics will include event history analysis models for panel data and instrumental variables Prerequisite FCS 6110 SOC 6120 or equivalent knowledge of OLS regression Course materials Required available at bookstore Long J Scott and Jeremy Freese 2006 Regression Models for Categorical Dependent Variables Using Stata Second edition College Station Texas Stata Press Powers Dan and Yu Xie 2000 Statistical Methods for Categorical Data Analysis New York Academic Press Wooldridge Jeffrey M 2006 Introductory Econometrics A Modern Approach Third edition SouthWestern College Publishing Required available online Lynch Scott M 2006 An Introduction to Applied Bayesian Statistics and Estimation for Social Scientists New York Springer Download from http www princeton edu slynch bayesbook pdf Train Kenneth 2003 Discrete Choice Methods with Simulation New York Cambridge University Press Download from http elsa berkeley edu books choice2 html We will also make use of additional readings available online through JSTOR http www jstor org accessible from University of Utah based computers or via VPN on reserve at the library or other depositories Computing We will be using version 9 of the statistical package Stata for this course You have two options for obtaining access to Stata 1 You can purchase Stata at a discounted price through a GradPlan for use on your own computer This is probably the best option if you expect to use Stata on a regular basis for the rest of your career Stata is available in 4 versions Small Intercooled Stata SE and Stata MP which differ in the size of the datasets each can analyze and the number of cores or processors that Stata can use Intercooled Stata is suitable for general use Order online through http www stata com order new edu gradplans gp campus html or by phone 800 782 8272 If you order by phone be sure to say that you are ordering through the University of Utah GradPlan Ordering an undiscounted copy is substantially more expensive 2 You can use Stata for free on the PCs in the CSBS computer labs Sociology graduate students should also be able to use it in the 4th floor computer lab As for documentation the online help available in Stata Long Freese and your lecture notes should be sufficient for the purposes of Sociology 7130 If you expect to regularly use Stata in the future you may order documentation through the avenues listed above There are also many online Stata resources linked via the course webpage Students desiring additional resources for learning Stata should consult UCLA Academic Technology Services Resources to help users learn and use Stata http www ats ucla edu stat stata default htm Richard Williams Notre Dame Sociology Stata Highlights http www nd edu rwilliam stats1 StataHighlights html Acock Alan 2006 A Gentle Introduction to Stata College Station Texas Stata Press Hamilton Lawrence 2006 Statistics With Stata Updated for Version 9 Belmont California Brooks Cole Kohler Ulrich and Frauke Kreuter 2005 Data Analysis Using Stata College Station Texas Stata Press Rabe Hesketh Sophia and Brian Everitt 2007 A Handbook of Statistical Analyses Using Stata Fourth edition New York Chapman and Hall Course requirements and grading Periodic problem sets will be assigned and students will be required to present their answers orally in class Students may work on the homework in pairs and submit one assignment with the names of both students There will also be two take home midterms a take home final and a term paper accompanied by a brief presentation The final grade will be based on homework 20 two midterms 35 the final 25 and the paper 20 The paper requirement is an empirical research paper that applies one of the methods covered in class to a substantive problem in social science The paper 25 pages maximum including tables figures references etc should include problem formulation linkage to substantive literature analysis of suitable data and discussion of findings Students are required to submit a two page proposal outlining the problem data and empirical analyses Deadlines are Proposal Wednesday 20 February 2008 Final Draft Monday 28 April 2008 Americans with Disabilities Act ADA The University of Utah seeks to provide equal access to its programs services and activities for people with disabilities If you will need accommodations in the class reasonable prior notice needs to be given to the Center for Disability Services 162 Olpin Union Building 581 5020 V TDD CDS will work with you and the instructor to make arrangements for accommodations All written information in this course can be made available in alternative format with prior notification to the Center for Disability Services Supplementary readings The following books are useful supplements to the required readings Agresti Alan 2002 Categorical Data Analysis Second Edition Hoboken N J John Wiley Sons Inc Allison Paul 1999 Logistic Regression Using SAS Theory and Application Cary North Carolina SAS Institute Allsion Paul 1995 Survival Analysis Using the SAS System Cary North Carolina SAS Institute Blossfeld Hans Peter Katrin Golsch and G tz Rohwer 2007 Event History Analysis With Stata Mahwah New Jersey Lawrence Erlbaum Bollen Kenneth A 1989 Structural Equations with Latent Variables New York John Wiley Sons Cameron A Colin and Pravin K Trivedi 1998 Regression Analysis of Count Data Cambridge Cambridge University Press Fox John 1997 Applied Regression Analysis Linear Models and Related Methods Thousand Oaks CA Sage Publications Frees Edward W 2004 Longitudinal and Panel Data Analysis and Applications in the Social Sciences New York Cambridge University Press Hilbe Joseph 2007 Negative Binomial Regression New York Cambridge University Press Hosmer David W and Stanley Lemeshow 2000 Applied Logistic Regression Second Edition New York John Wiley