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The first steps of analysing data are to look at simple cross tabs to explore how, for example, men differ from women, what older versus younger people feel, etc. However at ORB we believe that there is a lot more to research than simple bivariate analysis.
Detailed statistical analysis of data very often uncovers findings that can not be seen in straightforward ‘topline’ analysis. By studying the response patterns of individual respondents we enable our clients to learn a great deal more about their sample and thus get a better return on their research investment. To do this we employ a series of statistical techniques, using trained statisticians to unlock everything we can from the data. ORB has been undertaking this level of detailed analysis for more than five years and are continually looking at developing new techniques. Some of the most common techniques we use include:
Key Driver Analysis
Correspondence Analysis
Factor and Cluster Analysis
Segmentation
Trade-off Analysis (Maximum Differentiation Scaling)
Conjoint Modelling
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