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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.

 


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.


Structured Equation Modelling

Construct market-place models using new-wave multivariate techniques

CHAID Analysis

Understand interactions which impact on variables of interest

Latent Class Analysis
Discover underlying factors that drive attitude and behaviour
 
Conjoint Modelling
Create choice models to optimise demand and revenue for services

Maximum Difference scaling
Discriminate importance of large numbers of benefits to decision makers
 
Brand Mapping

Visually summarise and interpret ratings for categorical data

Multivariate Testing
Improve important processes using experimental design techniques
 
Key Driver Analysis
A combination of Multiple Regression and Correlation Analysis

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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