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>>Web Panel Research
When sample size optimization process is complete and you know how
many people you need to interview, the next critical question is how to make
sure that the sample statistically represents the targeted population.
When over 80% of households in North America have Internet access (all locations),
advantages of consumer web panel research become self-evident.
Major benefits of our consumer web panel research:
- North American coverage
- Cost efficient (significantly cheaper vs. equivalent phone survey)
- Short reply time (2-5 days)
- High response rate (over 50%)
- Statistically representative of the general population
- High accuracy
- No need to collect demographic information during the survey (the data is collected during the panel design process)
- Supports consistent follow-up analysis of virtually the same sample (change in awareness level before and after advertising, etc.)
- Allows incorporation of visual effects and objects (pictures, movies, etc.)
MaCorr consumer web panel has been designed with, basically, one purpose in mind: to represent statistically
the entire population. During the recruitment process the following demographic information of the respondents is collected:
- Internet access
- Gender
- Marital status
- Housing situation (rent vs. own)
- Year of birth
- Education
- Employment status
- Income
- Household size
- Number of children under 18
- Children’s year of birth
- Language spoken at home
- City
- Zip/Postal code
The demographic distribution of the panel has then been compared to the demographic distribution of the entire
population (US Census Bureau and Statistics Canada information has been used as a benchmark).
The approach ensures that a sample of any size statistically represents the targeted population. In
addition, since demographic information has been collected during the recruitment process, we can easily target specific
population groups (women, families with children, certain age groups, groups in specific geographic locations, etc.)
This approach not only improves the accuracy of the results, but also significantly reduces research costs.
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