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About these techniques & tools
These techniques are very flexible and provide actionable outputs that
can be incorporated into a typical ad-hoc research project, at relatively
low expense.
We will always aim to use the best mixture of techniques for a particular
project, rather than black-box solutions.
Of course there will always be practical research problems for which
the potential solution is not clear-cut, but by placing a particular
emphasis on clear and open communication with our clients, we look forward
to addressing these challenges.
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Techniques and Tools
Our main statistical techniques and tools are summarised below, though
we are adding to these over time. Please do not be put off if these mean
little to you – they are all fundamentally easy to understand. Follow
the links to see illustrations of their use in a typical market research
context.
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Structured Equation Modelling
Construct market-place models using new-wave multivariate techniques
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CHAID Analysis
Understand interactions which impact on variables of interest
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Latent Class Analysis
Discover underlying factors that drive attitude and behaviour
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Conjoint Modelling
Create choice models to optimise demand and revenue for services
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Maximum Difference scaling
Discriminate importance of large numbers of benefits to decision makers
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Brand Mapping
Visually summarise and interpret ratings for categorical data
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Multivariate Testing
Improve important processes using experimental design techniques
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Key Driver Analysis
A combination of Multiple Regression and Correlation Analysis
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Other Services
We provide a full range of other multivariate statistical tools, including
Linear, Logistic and Ordinal regression. We also provide full end-to-end
research consultancy from questionnaire and sample frame design, through
fieldwork, project management and reporting |
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