Apr
2018

Why Use a Complex Sample for Your Survey?

Most statistical analyses assume that the data collected are from a simple random sample of the population of interest. However, it’s not always possible or practical to take a SRS, and complex samples can be used to create more efficient or cheaper sampling designs.

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Dec
2017

CHAID (Chi-square Automatic Interaction Detector)

In this latest blog post in our Market Research terminology series, we discuss CHAID - an algorithm that is useful when looking for patterns in datasets with lots of categorical variables and that offers a convenient way of visualising relationships in the data.

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Apr
2017

Key Driver Analysis

It’s important to identify and understand the drivers of key business outcomes. You might want to understand which aspects of your service influence how likely a customer will be to recommend you, for example. A so called key driver analysis can be used to address this sort of question.

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May
2016

EU Referendum Polls: Modelling Voting Intention

In our latest blog on the EU referendum we look at fitting a model to the opinion poll results published in the run up to June 23rd. The model highlights how polling companies and practices influence the results and concludes that as of May 24th the probability of the UK remaining in the EU is about 68%.

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Apr
2015

How Do Supermarkets Use Your Data?

Retailers have been finding more and more sophisticated ways to use customer data to their advantage. By collecting and analysing consumer data, together with other socio-economic data, supermarkets are able to make evidence-based decisions when devising their marketing and operational strategies.

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Jan
2015

Analysing Categorical Survey Data

Surveys often comprise tick-box questions, resulting in what are referred to statistically as categorical data. Analysing categorical data requires the use of a specialist set of statistical tools as they are not normally amenable to the standard tools available for continuous data.

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Jun
2014

Data Intelligence for the Charity Sector

With the majority of large commercial organisations embracing Big Data as a means to refine their products and better understand their customers, the charitable sector has been slow to adopt the same techniques to streamline their operations and increase their donation rates.

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Mar
2014

What is R and Why Should You Use It?

The ability to analyse and interpret data is becoming an increasingly critical factor in driving commercial innovation and success. Businesses are collecting data on a scale previously unseen, but if you want to understand and use your data, how do you go about it?

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Nov
2013

Interacting with Your Data

We regularly analyse data to help our clients gain key insights so that they can make effective decisions. In many cases, clients will be interested in the results for different scenarios and we've been developing the capability to enable our clients to interact with their data via online interactive tools or web apps.

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Apr
2013

Breaking News: 1 in 20 Statistical Tests Are Wrong!

This lighthearted cartoon from XKCD makes an important point about classical hypothesis testing: if you test enough things you’re bound to find something that’s significant. To avoid this and many other pitfalls of a naive application of statistical methods, it is important to seek statistical advice.

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