Usability

• Easy to use Windows interface
• No coding of procedure statements needed
• Simple workbook structure for organizing analysis requests
• Workbook output can be shared without having the source data sets

Data Import/Export

SPSS ASCII ODBC Microsoft Access® Microsoft Excel® Paradox Quattro Pro

PC-SAS for DOS SAS transport file SAS through Version 9 STATA Lotus Minitab S-Plus

Working with WesVar Data Sets

• Import existing replicate weights
• Create and permanently store replicate weights
  • Nonresponse adjusted
  • Post-stratified or raked to external control totals
• Add variable labels
• Perform recodes
• Subset populations
• Incorporate a finite population correction in variance estimates
• Log file for tracking the history of changes made to a data file

Create Weights

• Input base weights
• Adjust input weights using:
  • Nonresponse adjustments
  • Post-stratification
  • Raking
• Make adjustments for the full sample and separately for each replicate

Analytic Options

• Tables (up to eight dimensions)
  • Computed statistics define functions of table totals (e.g., ASSETS/INCOME in each cell)
  • Function statistics define functions of table cell estimates (e.g., difference between MALES and FEMALES)
• Models
  • Multiple linear regression
  • Logistic regression
    • Dichotomous
    • Polychotomous

Preferences Control default settings for output, tables, regression models, and file locations.

• Summary page - displays log in output
• Function log - shows definitions of cells and function statistics
• Show variable label or variable name
• Show value label or value
• Control width of output field
• Display values in scientific or fixed format
• Specify number of decimal places in output
• Print diagnostic for whether replicates have large effect on variances
• Assign degrees of freedom for variance estimation
• Choose method for handling missing values
  
  • Listwise delete (complete case analysis)
  • Separate treatment of each analysis variable and computed statistic (available case analysis)
• Choose method for computing medians or quantiles
  • Group method
  • Ungrouped method (default)

Output Files

• Data file (in SPSS, SAS transport, ASCII)
• Replicate estimates
• Table and regression estimates

System Requirements

• 486 processor or better
• 16 MB RAM or better
• Windows 95, 98, NT 4.0, or XP
• 50 MB hard disk space