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İnsan ve Toplum Bilimleri Fakültesi Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/11499/45996

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COAR Access Rights: search.filters.coarAccessRights.metadata only accessPublisher: search.filters.publisher.Nature Portfolio

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  • Article
    Citation - WoS: 2
    Citation - Scopus: 2
    Measuring the Semantic Priming Effect Across Many Languages
    (Nature Portfolio, 2025-09-24) Buchanan, Erin M.; Cuccolo, Kelly; Heyman, Tom; Van Berkel, Niels; Coles, Nicholas A.; Iyer, Aishwarya; Peters, Kim; Lewis, Savannah C.
    Semantic priming has been studied for nearly 50 years across various experimental manipulations and theoretical frameworks. Although previous studies provide insight into the cognitive underpinnings of semantic representations, they have suffered from small sample sizes and a lack of linguistic and cultural diversity. In this Registered Report, we measured the size and the variability of the semantic priming effect across 19 languages (n = 25,163 participants analysed) by creating the largest available database of semantic priming values using an adaptive sampling procedure. We found evidence for semantic priming in terms of differences in response latencies between related word-pair conditions and unrelated word-pair conditions. Model comparisons showed that the inclusion of a random intercept for language improved model fit, providing support for variability in semantic priming across languages. This study highlights the robustness and variability of semantic priming across languages and provides a rich, linguistically diverse dataset for further analysis. The Stage 1 protocol for this Registered Report was accepted in principle on 15 July 2022. The protocol, as accepted by the journal, can be found at https://osf.io/u5bp6 (registration) or https://osf.io/q4fjy (preprint version 6, 31 May 2022).
  • Article
    Citation - WoS: 17
    Citation - Scopus: 19
    Abrupt Southern Great Plains Thunderstorm Shifts Linked To Glacial Climate Variability
    (Nature Portfolio, 2021-05-06) Maupin, Christopher R.; Roark, E. Brendan; Thirumalai, Kaustubh; Shen, Chuan-Chou; Schumacher, Courtney; Van Kampen-Lewis, Stephen; Housson, Audrey L.
    Thunderstorms in the Southern Great Plains of the United States are among the strongest on Earth and have been shown to be increasing in intensity and frequency during recent years. Assessing changes in storm characteristics under different climate scenarios, however, remains highly uncertain due to limitations in climate model physics. We analyse oxygen isotopes from Texas stalactites from 30-50 thousand years ago to assess past changes in thunderstorm size and duration using a modern radar-based calibration for the region. Storm regimes shift from weakly to strongly organized on millennial timescales and are coincident with well-known abrupt climate shifts during the last glacial period. Modern-day synoptic analysis suggests that thunderstorm organization in the Southern Great Plains is strongly coupled to changes in large-scale wind and moisture patterns. These changes in the large-scale circulation may be used to assess future predictions and palaeo-simulations of mid-latitude thunderstorm climatologies. Thunderstorm activity in the Southern Great Plains was closely coupled to abrupt climate shifts during the last glacial period, according to an analysis of oxygen isotopes in modern rainfall and ancient speleothems from Texas.