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  1. Metacognitive Awareness Scale, Domain Specific (MCAS-DS): Assessing Metacognitive Awareness During Raven’s Progressive Matrices.John H. H. Song, Sasha Loyal & Benjamin Lond - 2021 - Frontiers in Psychology 11.
    Metacognition, the cognition about cognition, is closely linked to intelligence and therefore understanding the metacognitive processes underlying intelligence test performance, specifically on Raven’s Progressive Matrices, could help advance the knowledge about intelligence. The measurement of metacognition, is often done using domain-general offline questionnaires or domain-specific online think-aloud protocols. This study aimed to investigate the relationship between metacognitive awareness and intelligence via the design and use of a novel Meta-Cognitive Awareness Scale – Domain Specific that encourages reflection of task strategy processes. (...)
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  • Sophisticated Statistics Cannot Compensate for Method Effects If Quantifiable Structure Is Compromised.Damian P. Birney, Jens F. Beckmann, Nadin Beckmann & Steven E. Stemler - 2022 - Frontiers in Psychology 13.
    Researchers rely on psychometric principles when trying to gain understanding of unobservable psychological phenomena disconfounded from the methods used. Psychometric models provide us with tools to support this endeavour, but they are agnostic to the meaning researchers intend to attribute to the data. We define method effects as resulting from actions which weaken the psychometric structure of measurement, and argue that solution to this confounding will ultimately rest on testing whether data collected fit a psychometric model based on a substantive (...)
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  • Open-minded and reflective thinking predicts reasoning and meta-reasoning: evidence from a ratio-bias conflict task.Henry W. Strudwicke, Glen E. Bodner, Paul Williamson & Michelle M. Arnold - 2024 - Thinking and Reasoning 30 (3):419-445.
    Dispositional measures of actively open-minded thinking and cognitive reflection both predict reasoning accuracy on conflict problems. Here we investigated their relative impact on meta-reasoning. To this end, we measured reasoning accuracy and two indices of meta-reasoning performance – conflict detection sensitivity and meta-reasoning discrimination – using a ratio-bias task. Our key predictors were actively open-minded thinking and cognitive reflection, and numeracy, cognitive ability, and mindware instantiation were controlled for. Actively open-minded thinking was a better predictor of reasoning accuracy and meta-reasoning (...)
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