What is Multivariate Data Analysis?
Multivariate data analysis is the analysis of multiple variables at the same time. This type of analysis is used to find how a set of variables explain one or more other variables. For example, sets of variables may explain one overall variable (brand loyalty) or may differentiate between key market segments. Similarly, a set of brand attributes may be used to map relationships to the key brands competing in the marketplace, thereby showing the strengths and weaknesses of each brand. Our research staff consists of Ph.D.s who are experts in conducting surveys and analyzing results using any number of techniques, including • Conjoint Analysis (Full Profile Conjoint; Self Explicated Conjoint; Choice Based Conjoint Analysis) • Monte Carlo Simulations • Multidimensional Scaling Analysis • Correspondence Analysis • Cluster Analysis • Factor Analysis • Data Mining with CHAID, Classification and Regression Trees, and Neural Network Analysis • Multiple Regression • Discriminant Analysis • Forec
