Advanced Statistical Analysis


Our statistical capabilities include:
  • Regression analysis: a multivariate technique that relates a dependent variable to one or more independent variables. (source)
  • Multiple regression analysis: a statistical procedure that studies multiple independent variables simultaneously to identify a pattern or patterns. (source)
  • Factor analysis: a 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. (source)
  • Cluster analysis: a multivariate statistical classification technique for discovering whether the individuals of a population fall into different groups by making quantitative comparisons of multiple characteristics. The differences within any group should be less than the differences between groups. Often used for consumer segmentation and brand positioning. (source)
  • Conjoint analysis: a multivariate technique used to quantify the value that people associate with different levels of product/service attributes. Respondents trade product attributes against each other to establish product (brand) preference and the relative importance of attributes. Based on utility theory and consumer rationality. Better for functional than fashionable brands. (source)
  • CHAID (Chi-Square Automatic Interaction Detector): a decision tree that uses contingency tables and the chi-square test to create the tree. Classification. The process of learning to distinguish and discriminate between different input patterns using a supervised training algorithm. Classification is the process of determining that a record belongs to a group. (source)