Statistical Processes

Statistical processes at Silicon Valley Research Group

At Silicon Valley Research Group, we employ custom leading edge technology and proprietary analysis techniques to provide the critical insights and strategic recommendations that give our clients a genuine competitive advantage for success in today’s challenging environment. These are just some of the marketing research statistical processes we employ:

Perceptual Mapping

  • Mathematical Analysis of Perception and Preference. A multivariate technique designed to represent consumers' product perceptions and preferences as visual representations or points on a map or graph. Also called multidimensional scaling or MAPPing

Regression Analysis

  • A multivariate statistical technique applied to data to determine, for predictive purposes, the degree of correlation of a dependent variable with one or more independent variables. In other words, a technique to see if there is a strong or weak cause and effect relationship between two or more things.

Correlation Analysis

  • A statistical technique that helps in determining the strength of the relationship between variables.

Factor Analysis

  • Procedure for data simplification through reducing the many rating scales (or set of variables) used by the researcher to a smaller set of factors or composite variables by identifying dimensions underlying the data.

Statistical processes at Silicon Valley Research GroupDiscriminant Analysis

  • A multivariate technique for analyzing the predictive value of a set of independent variables.

Cluster Analysis

  • A statistical technique that helps in determining which category individuals of a population belong to. Multiple characteristics are used to determine the groups, and differences within a category need to be less than differences between categories. Cluster analysis is a good demographic tool for consumer segmentation in marketing research.

Analysis of Variance

  • A method of analysis for determining the level of statistical significance of differences among the means of two or more variables.

Multivariate Analysis

  • Any statistical procedure that simultaneously analyzes several measurements (variables)

Usability Testing

  • Involves putting a prototype or application in the hands of potential users in order to observe and gain feedback on how the design can be improved.


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