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Article

Relational Integration and Attentional Control Are Crucial to Fluid Intelligence Together but Not Alone—An Experimental Investigation of Individual Difference in Relational Monitoring Processes

School of Psychology, University of Sydney, Camperdown, NSW 2006, Australia
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Author to whom correspondence should be addressed.
Submission received: 26 September 2025 / Revised: 26 December 2025 / Accepted: 31 December 2025 / Published: 5 January 2026
(This article belongs to the Special Issue Intelligence Testing and Assessment)

Abstract

Working memory (WM) and fluid intelligence (Gf) are highly correlated, which provides the basis for the claim that they share common cognitive processes. Attentional Control Theory and the Relational Integration Hypothesis are two process theories linking WM and Gf. Additionally, both have empirical evidence to support them; the strength of this evidence can be limited by the experimental manipulations used and the operationalisation of performance metrics. To investigate the cognitive processes related to Gf, levels of relational integration and attentional control in the relation monitoring task (RMT) were manipulated. Study 1 (N = 39) focused on calibrating RMT response time windows for different levels of relational integration to strengthen validity claims by reducing possible ceiling effects in RMT performance observed in prior research. Study 2 (N = 146) examined how Gf was related to manipulations of relational integration and attentional control. The research extends previous studies by (a) using experimental manipulations that align more closely to underlying process accounts, and (b) contrasting simple-composite scores, a common operationalisation of performance, with a variance decomposition approach that statistically isolates the hypothetical processes aligned with the experimental manipulations. Results suggest that the way performance is operationalised matters, and that neither relational integration nor attentional control processes alone relate to Gf; instead, predictive utility is greatest when they are operationalised together.
Keywords: fluid intelligence; relational integration; attentional control; working memory; relation monitoring task fluid intelligence; relational integration; attentional control; working memory; relation monitoring task

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MDPI and ACS Style

Li, Y.; Birney, D.P. Relational Integration and Attentional Control Are Crucial to Fluid Intelligence Together but Not Alone—An Experimental Investigation of Individual Difference in Relational Monitoring Processes. J. Intell. 2026, 14, 8. https://doi.org/10.3390/jintelligence14010008

AMA Style

Li Y, Birney DP. Relational Integration and Attentional Control Are Crucial to Fluid Intelligence Together but Not Alone—An Experimental Investigation of Individual Difference in Relational Monitoring Processes. Journal of Intelligence. 2026; 14(1):8. https://doi.org/10.3390/jintelligence14010008

Chicago/Turabian Style

Li, Yunze, and Damian Patrick Birney. 2026. "Relational Integration and Attentional Control Are Crucial to Fluid Intelligence Together but Not Alone—An Experimental Investigation of Individual Difference in Relational Monitoring Processes" Journal of Intelligence 14, no. 1: 8. https://doi.org/10.3390/jintelligence14010008

APA Style

Li, Y., & Birney, D. P. (2026). Relational Integration and Attentional Control Are Crucial to Fluid Intelligence Together but Not Alone—An Experimental Investigation of Individual Difference in Relational Monitoring Processes. Journal of Intelligence, 14(1), 8. https://doi.org/10.3390/jintelligence14010008

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