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How We Do it

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Every step of the way, Moore Research partners with our clients to clarify their research objectives while providing the results that help them grow. We are an award-winning provider of global research services. Whether you are conducting research in the US or globally, we provide you with the intelligence and information needed to make solid decisions.

Our staff will design a study using the most effective methodology for the resources and objectives of the project. Methodology determinations are made with consideration of the following questions:

  • Whether qualitative or quantitative data is desired
  • The time frame to complete the study
  • The sample size or specific population required
  • What sort of action the client wants to take based on the data received

Depending on the study parameters, we can have a very flexible and rapid completion cycle of the research and study results.

To gather qualitative data (data used to define, describe or evaluate an idea or product) techniques such as focus groups, in depth interviews and ethnographic observations are utilized. For quantitative data (data used to determine the opinions and reactions of the population), telephone research, web-based research, central location testing, in home product placements, taste tests and/or mall interviewing are conducted. Depending on the parameters and objectives of the study, we often design a mixture of qualitative and quantitative methodologies to obtain the desired information.

Here at Moore Research, we understand that study results are only effective if they are presented clearly, concisely, and in a manner that relates back to the original objectives of the study. The reports provided contain both a brief summary to identify the highlights and key points as well as the full analysis for historical documentation and reference. Reports for qualitative studies, because of the descriptive nature of the data, are generally text-only. Studies utilizing quantitative data show results in tables and charts.

Whenever possible, studies are designed to promote higher-order statistical analysis. Such analysis includes T-tests, ANOVAs, and regression analysis. The purpose of such tests is to identify population characteristics unique to certain opinions or actions. Such tests could identify the profile of the people most likely to buy a certain brand or product. Higher-order statistics require numerical data such as Likert Scale data. When higher-order statistics are not available because of the type of data involved, lower-order statistics will be applied to identify unique characteristics. The most common lower-order test is a cross-tabulation. A cross-tabulation compares categorical gender, income, age, etc. or other similar information.