Methodologies
Our strict and specific methodologies allow us to produce high quality research and insight to best meet the needs of clients.
Quantitative
The use of sampling techniques (such as consumer surveys) whose findings may be expressed numerically, and are amenable to mathematical manipulation.
This provides robust sample findings (i.e. broader study involving greater number of participants) that can be generalized to a greater population. This enables the researcher to establish cross sectional snapshots, perform longitudinal tracking, estimate future events or quantities and determine the issues of causality.
Quantitative research allows the researcher to state the research problem in very specific terms while stipulating both the independent and the dependent variables under investigation. Using standards means that the research can be replicated, and then analysed and compared with similar studies allowing us to summarize vast sources of information and facilitate comparisons across categories and over time.
It is less interpretive than qualitative research and therefore can provide more objective conclusions achieving high levels of reliability. Personal bias sometimes found in qualitative research can also be avoided by researchers keeping a ‘distance’ from participating subjects.
Because it is so deeply rooted in numbers and statistics, quantitative research has the ability to effectively translate data into easily quantifiable charts and graphs. This research often provides the ‘bottom line’ when testing out research hypothesis, leading to a final answer, and a narrowing down of possible directions for follow up research to take.
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As an ESOMAR Member, CoreData complies with the ICC/ESOMAR International Code of Marketing and Social Research Practice