Relational frame
The comparison frame
Relating stimuli along a graded dimension: more, less, bigger.
What it looks like
Comparison is asymmetric in a way coordination is not. If A is bigger than B, the entailed relation is not that B is bigger than A but that B is smaller than A. The relation reverses rather than repeating.
Combinatorial entailment is strong and transitive: A bigger than B, B bigger than C, therefore A bigger than C, and C smaller than A.
Worked example
A learner is taught that coin A buys more than coin B, and that coin B buys more than coin C.
Without further teaching they derive that A buys more than C, and that C buys least of the three. Transformation of function follows: if buying more is currently valuable, A becomes the preferred coin even though its physical size may be smallest.
How to build a lesson for this frame
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Use a single dimension
Fix one comparative dimension per lesson: size, quantity, or speed. Do not vary the dimension inside a trial block.
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Train adjacent pairs
Teach A-to-B and B-to-C explicitly, both directions, so that the reversal is in repertoire before you probe.
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Probe transitivity
Test the A-to-C relation and its reverse. This is the derived relation the lesson exists to produce.
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Probe function transfer
Attach a function to one end of the scale and test whether preference reorganises across the untrained members.
Common pitfalls
Letting physical magnitude co-vary with the trained relation is the classic confound: if the bigger-valued item is also the physically larger picture, you have taught a non-arbitrary discrimination, not a relational frame. Randomise physical properties against the arbitrary relation.
Build a comparison lesson
Draft the trial structure in RFT App, then edit it into the program you actually want.
See how it worksOther relational frames
Common questions
- What is a comparison frame?
- A relational frame that relates stimuli along a graded dimension such as more, less, bigger, or faster.
- Why is comparison harder than coordination?
- Because the entailed relation reverses rather than repeats. If A is bigger than B, the derived relation is that B is smaller than A, which requires tracking direction as well as relation.