Results for: track:3S (17)
| 17 results found, sorted by title | score using date |
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| Analyzing Developmental Trajectories Daniel Nagin, Public Policy, Carnegie Mellon University A developmental trajectory describes the course of a behavior over age or time. This three-day workshop aims to provide participants with the training to apply a group-based method for analyzing developmental ... | 2009-02-09 | |
| Analyzing Multilevel and Mixed Models Using Stata Roberto Gutierrez, Statistics, StataCorp LP This five day workshop is an introduction to using Stata to fit multilevel mixed models. Mixed models contain both fixed effects analogous to the coefficients in standard regression models and random effects not ... | 2009-02-09 | |
| Categorical Data Analysis in Stata J. Scott Long, Sociology, Indiana University This workshop examines the most important regression models for binary,ordinal, nominal, and count outcomes. The goal of this class is to teach participants how to estimate and interpret these models. The first two ... | 2009-05-05 | |
| Designing, Conducting, and Analyzing Field Experiments Donald Green, Political Science, Yale University This short course aims to accomplish the following: (1) Explain why experiments are valuable tools for social science and program evaluation; (2) Examine in-depth examples of how field experiments are designed, executed ... | 2009-03-23 | |
| Empirical Models for Time-Series, Cross-Section Data Robert J. Franzese, Political Science, University of Michigan Time-series cross-section (TSCS) data harness both cross-temporal and cross-spatial variation to maximize empirical leverage for theory evaluation. However, this powerful data structure also requires careful ... | 2009-02-09 | |
| Hierarchical Linear Models I: Introduction Aline Sayer, Psychology, University of Massachusetts, ... The hierarchical linear model (HLM) provides a conceptual framework and a flexible set of analytic tools to study a variety of social, political, and developmental processes. One set of applications focuses on data in ... | 2009-05-05 | |
| Hierarchical Linear Models II: Special Topics Stephen Raudenbush, Sociology, University of Chicago, ... This is a second course in hierarchical linear models. Individuals who enroll should have taken the ICPSR course Hierarchical Linear Models I: Introduction or its equivalent, and have experience using HLM research ... | 2009-06-18 | |
| Introduction to Applied Bayesian Statistics for Social Scientists Scott M. Lynch, Sociology, Princeton University Bayesian statistics has received a growing amount of attention over the last decade in social science research, largely because of (1) the growth in the use of hierarchical modeling in social science coupled with the ... | 2009-03-23 | |
| Introduction to Spatial Regression Analysis Paul Voss, Rural Sociology, University of Wisconsin, ... The goal of this five-day course is to provide an overview of applied spatial regression analysis (spatial econometrics) that will enable participants to effectively incorporate these tools into their own empirical ... | 2009-02-18 | |
| Latent Trajectory/Growth Curve Analysis: A Structural Equation Modeling Approach Kenneth Bollen, Sociology, University of North Carolina at ... A powerful method for analyzing longitudinal data is Latent Trajectory Analysis (LTA). LTA allows each case in a sample to have individual trajectories ("latent curves" or "growth curves") representing change over time. ... | 2009-03-23 | |
| Multilevel Models for Longitudinal Data Using SAS Lesa Hoffman, Psychology, University of Nebraska-Lincoln Multilevel models are known by many synonyms (hierarchical linear models, general linear mixed models). The defining feature of these models is their capacity to provide quantification and prediction of random ... | 2009-03-23 | |
| Network Analysis: A Second Course Ann McCranie, Sociology, Indiana University, Stanley ... This workshop covers advanced methodology for network analysis. Topics to be covered in lecture and lab sessions include p* (the new exponential family of random graph distributions) and approaches to longitudinal ... | 2009-04-16 | |
| Network Analysis: An Accelerated Introduction Ann McCranie, Sociology, Indiana University, Stanley ... Social network analysis focuses on relationships between social entities. It is used widely in the social and behavioral sciences, as well as in political science, economics, organizational science, and industrial ... | 2009-04-09 | |
| Network Analysis: Theory and Methods Ann McCranie, Sociology, Indiana University, Stanley , ... This workshop covers the theory and methods of network analysis. Unlike the Summer Program's other introductory workshops on social network analysis, this course covers not only methodology, but also theoretical ... | 2009-03-23 | |
| Panel Data Analysis using Stata David Drukker, Statistics, StataCorp LP This workshop provides an introduction to econometric methods for analyzing panel data and specific procedures for carrying them out using Stata. Both "real" data and simulation techniques will be used to build ... | 2009-02-09 | |
| Social Network Analysis: An Introduction Katherine Faust, Sociology, University of California at Irvine Network analysis focuses on relationships between or among social entities. It is used widely in the social and behavioral sciences, as well as in political science, economics, organizational studies, behavioral biology ... | 2009-02-10 | |
| Structural Equation Models and Latent Variables: An Introduction Kenneth Bollen, Sociology, University of North Carolina at ... This course will introduce participants to Structural Equation Models (SEMs) with and without latent variables. It provides an overview of the statistical theory underlying SEMs and practice with SEM computer software. ... | 2009-02-09 | |
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