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Revisiting an old issue: Retroactive interference as a function of the degree of original and interpolated learning

Bäuml, Karl-Heinz


Abstract

Prior research has generally shown that the greater the degree of original learning of a list, the greater the amount of retroactive interference that list suffers. In addition, greater learning of interpolated lists produces more retroactive interference. However, in prior research, the degree of learning has typically been confounded with the amount of retrieval practice on the list. Two ...

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