I remember in 1995 or thereabouts reading a prediction that proved to be wrong. The prediction was that, within five years, scripting market research analysis would be dead. Here we are in 2020, and complex or high volume market research…

We are frequently asked by potential clients whether QPSMR Insight or MRDCL is the most suitable product for their needs…

Whether you are producing online questionnaires, tabulations or reports, some market research software systems have friendly user interfaces and others use scripting languages. If you choose to buy a system that has powerful scripting, such as the MRDCL, how do you go about learning the language?

I have always admired Quantum as a market research analysis program. It is still powerful enough to process most survey tabulations, but after almost 20 years without development, its position has slipped. Whilst still functionally strong, modern releases of Windows do not support Quantum. The alternatives are few with MRDCL, Merlin and Uncle being the main choices.

Crosstabs, survey analyses, call them what you will, are available in a vast number of software products. If you are looking for a top of the range crosstab software package, there are few choices. Here’s a comparison.

When you get a series of support requests where the recipients of the support reply something like “thanks, but that’s quite tedious to script”, you realise you need to show someone a better way.

One of the topics where we receive most support requests for MRDCL is in the handling of numeric fields or the usage of arithmetic. In this article, I will try to cover most of the issues raised and explain how and why MRDCL works the way it does.

There are many market research tabulation or crosstab software packages available, but few handle tables from tracking studies as well as MRDCL. Tracking studies ..usually become easier to manage… however, the data processing, tabulations and reporting often present problems.

My previous two articles on rim weighting, target weighting and effective sample sizes have led to several people communicating with me. Our free rim weighting calculator has now been sent to over 200 individuals or companies. Now, we dig deeper.

Rim weighting is a technique commonly used to weight market research data to known targets – e.g. age groups, regions and gender. The technique will allow you to independently weight data to each variable (question).