Providing software solutions since 1976
Psychometric Analysis Procedures
- CORRESP — Simple and multiple correspondence analysis
- FACTOR — Factor and component analyses and rotations
- MDS — Two-way and three-way, metric and nonmetric multidimensional scaling models
- PRINCOMP — Performs principal component analysis.
- TRANSREG — Linear models with optimal nonlinear transformations of variables
Psychometric Analysis
Psychometric methods are well suited for analyzing data on human judgment and perception, such as market research data, but can be used for many other types of data.
Below are highlights of the capabilities of the SAS/STAT procedures that perform psychometric analysis:
- principal component analysis of qualitative data
- simple and general conjoint analysis with variable transformations
- simple, multiple, and multivariate regression with variable transformations
- maximum redundancy analysis
- perceptual mapping
- simple and multiple correspondence analysis
- multidimensional preference analyses
- two-way and three-way, metric and nonmetric multidimensional scaling models
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