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Measuring Learning using an Untrained Control Group: Comment on R. Reber and Perruchet

The Quarterly Journal of Experimental Psychology Section APublished 1 January 2003
Zoltán Dienes, Gerry T. M. Altmann
Citations29

TL;DR

It is shown that inferring learning from a difference between a trained group and an untrained control in no way relies on their implausible additivity assumption, and that unt trained control groups can be an invaluable aid to the researcher.

Abstract

R. Reber and Perruchet (this issue) argue that use of control groups without training is unsound for establishing that learning has occurred. We show that inferring learning from a difference between a trained group and an untrained control in no way relies on their implausible additivity assumption, and that untrained control groups can be an invaluable aid to the researcher.

Keywords

Computer Science