Software
IVEware: Imputation and Variance Estimation Software
IVEware, developed by 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 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.
Applied Survey Data Analysis
ASDA: Textbook for Analysis of Complex Sample Survey Data
Applied Survey Data Analysis integrates teaching materials and practical analysis knowledge into a textbook geared to a level accessible for graduate students and working analysts who may have varying levels of statistical and analytic expertise. This text aims to assist and guide analysts and researchers performing survey data analysis.