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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Assessing the Effects of a Relational Training Intervention on Fluid Intelligence Among a Sample of Socially Disadvantaged Children in Bangladesh

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Author(s):
Amd, Micah [1, 2, 3] ; Roche, Bryan [3]
Total Authors: 2
Affiliation:
[1] Univ Fed Sao Carlos, Sao Carlos, SP - Brazil
[2] McGill Univ, Montreal, PQ - Canada
[3] Maynooth Univ, Dublin - Ireland
Total Affiliations: 3
Document type: Journal article
Source: PSYCHOLOGICAL RECORD; v. 68, n. 2, p. 141-149, JUN 2018.
Web of Science Citations: 1
Abstract

A growing consensus is that performances on standardized intelligence tests can be positively influenced by interventions that focus on improving relational reasoning. One such intervention, known as SMART (Strengthening Mental Abilities with Relational Training), consists of presenting participants with increasingly complex exemplars of relational reasoning tasks involving premises associated along same-as, opposite-of, more-than, and less-than relations. Following multiple training and testing sessions involving these relations, increased fluency in SMART is related to enhanced performances on tests of intellectual ability (Cassidy et al., 2016). The current study expands upon previous investigations on SMART in two ways. First, we explored whether the amount of training undertaken can predict changes in intelligence test performances. Second, we assessed whether SMART training could be effective for a non-English speaking, socioeconomically disadvantaged cohort. Changes in intelligence were assessed via administrations of the standard Raven's Progressive Matrices before and after SMART training. Our results show that the stage of SMART training completed is positively related to changes in Ravens' performances and that such training can be effective for non-English cohorts. (AU)

FAPESP's process: 15/24159-4 - Effects of delay on the decay of conditioned and derived valence functions
Grantee:Micah Ahmad
Support Opportunities: Scholarships in Brazil - Post-Doctoral