The Standard Ovation Blog
A practical and noted source for research methods, meetups, and more…
Understanding Incidence Rate in Market Research
Incidence rate in market research is a powerful tool, shedding light on the feasibility, costs, and approaches of a project Inside this Article......
Semantic Differential Scale to Measure Audience’s Feelings
Use Semantic Differential Scale to determine respondents’ feelings or emotions towards a topic or product/serviceWhen developing surveys for market research...
Planning and Conducting Physician Market Research
Physician Marketing Research Tips to Help You Up Your Survey Game with Healthcare Professionals If you are doing marketing research like healthcare...
Poll vs. Survey – What are the Differences?
When conducting market research learn how these terms differ before deciding on your strategyIn this Article... Introduction Defining polls and surveys Market...
Market Research Methodology and Getting the Most Out of It
The power of data is not inherent as a data set is only as good as the analysis and insights. The right analysis methods can assist your business in extracting key information and trends from a pool of random data points that analysts can use to set short and long-term growth strategies…
Statistical Analysis Methods for Market Research
The power of data is not inherent as a data set is only as good as the analysis and insights. The right analysis methods can assist your business in extracting key information and trends from a pool of random data points that analysts can use to set short and long-term growth strategies…
Weighting Survey Data II – Statistical Weighting Methods
In the past, insight professionals adjusted datasets using a core set of demographics. This set included sex, age, race, ethnicity, geographic location, and education. Researchers would adjust any discrepancies occurring between the sample and the population of interest. Significant theoretical developments have increased the use of statistical weighting methods that consider various auxiliary variables for adjusting datasets…
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