Introduction
MaxDiff (Best-Worst Scaling) is a method used to estimate preference or importance scores for a set of items, such as brands, product features, or claims. Instead of asking respondents to rank a large list, MaxDiff breaks it down into smaller tasks. In each task, respondents choose the best and worst items from a subset, typically 4-6 items at a time. This approach makes the process more manageable for respondents and produces more accurate, reliable results.
MaxDiff also outperforms traditional rating scales by providing clearer distinctions between preferences. Since respondents select only "best" and "worst" options — without relying on a response scale — it eliminates common biases found in cross-cultural research.
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