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This document summarizes graphical and numerical methods for univariate analysis and normality test, and illustrates how to test normality using SAS 9.1, STATA 9.2 SE, and SPSS 14.0.
2 This document summarizes confirmatory factor analysis and illustrates how to estimate individual models using Amos 16.0, LISREL 8.8, Mplus 5.1, and SAS/STAT 9.1.
This study explores the impact of campaign web sites on electoral civic engagement by examining 2004 Internet Tracking Survey data. Propensity score matching and the recursive bivari-ate probit model are employed to deal with endogeneity and the missing data problem, which are often ignored in existing literature. Findings show that effects of campaign web… (More)
This document summarizes linear regression models for panel data and illustrates how to estimate each model using SAS 9.1, STATA 9.0, LIMDEP 8.0, and SPSS 13.0. This document does not address nonlinear models (i.e., logit and probit models), but focuses on linear regression models.
This document summarizes logit and probit regression models for binary dependent variables and illustrates how to estimate individual models using Stata 11, SAS 9.2, R 2.11, LIMDEP 9, and SPSS 18.
This document summarizes logit and probit regression models for ordinal and nominal dependent variables and illustrates how to estimate individual models using SAS 9.2, Stata 11, LIMDEP 9, and SPSS 17.
ACKNOWLEDGMENTS We express our deep-felt gratitude to the many Indiana nonprofits that completed our survey. Without their cooperation, we would have nothing to report. We also thank members of the project advisory board (listed at the beginning of the report) for their assistance with the survey and for their valuable feedback and suggestions on the… (More)