Types of data There are four types of data: nominal, ordinal, interval and ratio. Nominal and ordinal scales categorise qualitative (categorical) data and interval and ratio scales categorise quantitative (numerical) data. It’s important to understand […]
Why do we clean survey data? We clean data to make sure our data is accurate, high quality, and complete. Otherwise, our conclusions may be inaccurate or biased, and our results may lose credibility and […]
In this article we consider the benefits and concerns of combining data from different sources. Data can be combined from various sources. We will focus on combining survey data with administrative data. What we’ll cover […]
What factors influence survey response rates? How can we improve response rate? […]
What does a client satisfaction survey measure? Why is it important, and how will it help your organization? […]
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