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Constructing Scales that Collect Predictive Data

Not All Scales Are Created Equal:
Constructing Scales that Collect Predictive Data

When developing tools for online market research, there are three main objectives: create scales that are rigorous and robust, meet academic and research standards, and make these tools something that will be engaging and effective on the Internet. Here at TipTap Lab, we found this process to be easier said than done in many ways. We spent three years conducting exploratory research and testing and confirming validity in order to create a tool that provided a better understanding of people. 

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What is psychometrics?


What is psychometrics?

We’re all aware that individuals are unique and not everyone likes the same things. This uniqueness comes directly into play in the field of marketing. Since no two people are identical, marketing is about grouping and targeting. That is, higher levels of marketing success arise if you know who to target and how to target them instead of targeting everyone with a generic message. This necessity for specificity means targeting is essentially an empirical question that requires some form of measurement. Consumer behavior is ultimately a result of psychological processes and thus is an optimal target for measurement. Many people don’t think of individual or group characteristics as quantifiable entities, but they can be. Indeed, once you develop a method of quantification, objective grouping based on numbers becomes much easier and more reliable than subjective grouping based on descriptions of consumer traits. Clearly not all measurement is good measurement, so then the question becomes: “How should this measurement be done?” This is where psychometrics comes in.

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