Analysis methods: Data processing methods and tools

 

Michael Lieberman, founder and president of Mutivariate Solutions, explains some of the most popular uses for the statistical optimisation tool - 'Totally Unduplicated Reach and Frequency' (TURF) anal ...

One of the key objectives of advertising is to influence the perceptions customers hold about a brand in their memory. Therefore, when assessing the effectiveness of an advertising campaign, researche ...

Researchers now have the opportunity to use optical mark read (OMR) surveys for customised survey questionnaires. While the use of the OMR survey does allow the researcher to collect and process surve ...

It is a well known fact that the registration of purchases of fast moving goods is a difficult problem which requires automation in order to reduce the efforts of the households which have to provide ...

With the rapid changes in Information Technology, the role of the computer in survey processing has changed dramatically. While mainframes and large batch cycles were the only means of processing larg ...

This paper considers the main areas of development in computer technology for the 1990s and hypothesises how survey computing might appear in the year 2000. It first examines the pace of change in the ...

This paper discusses coding in the context of multinational medical studies where the research has been done in several languages across different countries. Five alternative ways of handling the codi ...

Discusses, from the client's viewpoint, how computers can help extend analytic power and simplify data, with the problems these new methods can bring. Data reduction is covered under three heads: `sim ...

Argues that, while data collection techniques have advanced considerably, analytical methods and models have hardly advanced at all. As a result we are facing a data explosion without the means to han ...

The paper explores the problems of analysing quota data, with particular reference to public opinion surveys from the 1930s and 1940s. The relevant data collection techniques and their implications ar ...

Multilevel modelling is sometimes used for data from complex surveys involving multi-stage sampling, unequal sampling probabilities and stratification. Amongst other findings, the paper suggests that ...