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Curve riving is a powerful method for examining transfer of training that has been essentially ignored by the aviation community. This article first describes some of the advantages of curve fitting compared to traditional transfer-of-training formulas. Some of the practical problems associated with curve fitting and methods for circumventing them are discussed. Finally, data from a mental rotation experiment are analyzed using both curve fitting and a common transfer-of-training formula. The results from curve fitting clearly provide more detailed information about the skills that transferred and the magnitude of the effects.
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Stored only when both papers are in the corpus — 9 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.