IVEware: Imputation and Variance Estimation Software, Version 0.3
IVEware developed by the Researchers at the Survey Methodology Program, Survey Research Center, Institute for Social Research, University of Michigan performs:
- Imputations of missing values using the Sequential Regression (also known as Chained Equations) Method;
- Multiple imputation analyses for both descriptive and model-based analysis;
- Analysis that accounts for complex design features, weighting, clustering and stratification;
- Other applications of multiple imputation such as disclosure limitation, combining information from multiple data sources, Bayesian analysis through prediction, causal inference and measurement error.
Search: Software for Exploring Data Structure
Search: Software for Exploring Data Structure is a binary segmentation procedure used to develop a predictive model for a dependent variable. It searches among a set of predictor variables for the predictors that most increase the researcher’s ability to account for the variance or distribution of a dependent variable. The question “What dichotomous split on which single predictor variable will give us a maximum improvement in our ability to predict values of the dependent variable?” asked iteratively, is the basis for the Search algorithm.