Variation Analysis
Updated 2026-08-11
INTRODUCTION
English translation pending.
CORE DEFINITION
Variation analysis is a conceptual-analysis technique used in learning science and in qualitative research, related to the method of contrasting cases and to counterexample reasoning. Its core proposition is that a concept's essence appears where instances remain constant, while its boundary appears where they differ, so placing variants side by side separates the necessary from the incidental. The key qualification is sampling: the variants must span the concept's range, since comparing only similar cases will produce a definition that fits the sample but not the category.
SCAFFOLDING EFFECT
Reduce cognitive load
- Use variant collection: gather instances of the concept from as wide a range as you can. - Use pairwise compare: note what every pair shares and where each pair differs. - Use boundary test: check the emerging definition against a clear counterexample.
Anchor fast decisions
A single instance cannot reveal which of its features are essential, because everything about it is present at once. Comparing instances separates the features that always accompany the concept from those that appear only sometimes, and the recurring set becomes the candidate definition. Counterexamples test the candidate at its edges, revealing whether a feature was truly necessary or merely common. The mechanism is elimination by contrast, and it depends on the sample being wide enough that incidental features vary; otherwise the comparison confirms whatever the examples happen to share.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Variable_rules_analysisverified
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