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Overview for target

  • Effective sample size calculator – with free Excel working model

    Target weighting is a technique used in market research to scale a sample of respondents to a known or desired target or population. For example, you may have 40% males and 60% females but want 50% of both males and females. MRDC Software can provide you with a free working model in Excel if you em…

    Phil Hearn
    Author: Phil Hearn - Date posted: 21 April 2017
    Category: data-analysis - Tags: target, weighting, effective, sample, size

  • Is it OK to weight my survey data?

    You have successfully collected your survey data but the sample you have ended up with is not representative. “Should I weight my survey data?”, you might ask yourself. You might have 60% males and 40% females whereas you know you want a 50-50 split. The question you have to ask yourself is “is it …

    Phil Hearn
    Author: Phil Hearn - Date posted: 2 November 2016
    Tags: weighting, rim, target, mrdcl, qpsmr - Category: data-analysis

  • What is rim weighting - with free Excel working model

    Rim weighting is a technique commonly used to weight market research data to known targets - e.g. age groups, region, gender. The technique will allow you to weight to each variable (question) independently. MRDC can provide you with a free working model in Excel if you email phil.hearn@mrdcsoftwar…

    Phil Hearn
    Author: Phil Hearn - Date posted: 6 May 2016
    Category: data-analysis - Tags: rim, weighting, target, mrdcl, excel, qpsmr

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Testimonials

We find MRDCL as an ideal tool for market research tabulations. It can reduce data processing time, increase productivity and has many useful functions for mean score calculations, table summaries, weighted score calculations, significant tests and much more. After initial training from an experienced user, we found the help tools within MRDCL and the online videos and were able to resolve difficulties that we had. We found the support from MRDC Software to be helpful when it was needed.

Kittirat Lelahuta, MI Advisory
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