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Online incidental statistical learning of audiovisual word sequences in adults : a registered report

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Kuppuraj, Sengottuvel, Duta, Mihaela, Thompson, Paul A. and Bishop, Dorothy (2018) Online incidental statistical learning of audiovisual word sequences in adults : a registered report. Royal Society Open Science , 5 (2). 171678. doi:10.1098/rsos.171678

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Official URL: https://doi.org/10.1098/rsos.171678

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Abstract

Statistical learning has been proposed as a key mechanism in language learning. Our main goal was to examine whether adults are capable of simultaneously extracting statistical dependencies in a task where stimuli include a range of structures amenable to statistical learning within a single paradigm. We devised an online statistical learning task using real word auditory–picture sequences that vary in two dimensions: (i) predictability and (ii) adjacency of dependent elements. This task was followed by an offline recall task to probe learning of each sequence type. We registered three hypotheses with specific predictions. First, adults would extract regular patterns from continuous stream (effect of grammaticality). Second, within grammatical conditions, they would show differential speeding up for each condition as a factor of statistical complexity of the condition and exposure. Third, our novel approach to measure online statistical learning would be reliable in showing individual differences in statistical learning ability. Further, we explored the relation between statistical learning and a measure of verbal short-term memory (STM). Forty-two participants were tested and retested after an interval of at least 3 days on our novel statistical learning task. We analysed the reaction time data using a novel regression discontinuity approach. Consistent with prediction, participants showed a grammaticality effect, agreeing with the predicted order of difficulty for learning different statistical structures. Furthermore, a learning index from the task showed acceptable test–retest reliability (r = 0.67). However, STM did not correlate with statistical learning. We discuss the findings noting the benefits of online measures in tracking the learning process.

Item Type: Journal Article
Divisions: Faculty of Social Sciences > Centre for Educational Development, Appraisal and Research (CEDAR)
Journal or Publication Title: Royal Society Open Science
Publisher: The Royal Society Publishing
ISSN: 2054-5703
Official Date: 21 February 2018
Dates:
DateEvent
21 February 2018Published
17 January 2018Accepted
Volume: 5
Number: 2
Article Number: 171678
DOI: 10.1098/rsos.171678
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
Copyright Holders: © 2018 The Authors

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