Comparing delayed matching to sample with three variations of the training‐ IRAP for establishing derived relations

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Authors: Marcello Henrique Silvestre, Colin Harte, Denise Aparecida Passarelli, Júlio César de Rose
Cited by: 1
References: 74

Abstract

A common method for studying derived relations is the matching-to-sample (MTS) preparation. However, certain aspects of its training format potentially hinder the emergence of new relations. The training version of the implicit relational assessment procedure (training-IRAP) may present an alternative. Our primary objective involved comparing the effectiveness of delayed MTS(2s) and training-IRAP procedures on participant yield. The secondary objective involved comparing mean number of training blocks per procedure. Given additional components in the standard training-IRAP not found in MTS, changes were made to the former, producing the modified training-IRAP and delayed modified training-IRAP(2s). Sixty-eight typically developing students participated in a between-subjects design. Two classes comprising five abstract stimuli were employed. Yield was analyzed at three levels, 91.67, 83.33, and 79% correct responses, with at least 87.5% correct responses at baseline mixed-block maintenance. All participants maintained baseline criterion during tests. At the three levels of analyses, the modified versions of training-IRAP produced higher yield, followed by DMTS(2s) and then the standard training-IRAP. Mean number of blocks to complete training phases was lowest for the delayed MTS(2s) and delayed modified training-IRAP(2s) groups. Limitations and implications of the findings toward greater precision, scope, and depth in conceptual, experimental, and applied settings are discussed.

Fields of Study & Subjects

Behavioral and Psychological Studies Educational and Psychological Assessments Psychotherapy Techniques and Applications

Publication details

Journal / source
Journal of the Experimental Analysis of Behavior
Publisher
Wiley
Volume
125
Issue
1
Pages
e70082–e70082
Publication date
1 January 2026
Language
EN