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README.md

readme archive 161 disk0/00/00/03/85 2019-10-15 12:44:48 2019-10-16 16:17:10 2019-10-15 12:44:48 data_collection show Milin Petar P.Milin@bham.ac.uk 0000-0001-9708-7031 Divjak Dagmar D.Divjak@bham.ac.uk 0000-0001-6825-8508 Medimorec Srdan S.Medimorec@tees.ac.uk 0000-0001-7552-5432 10col_artl construal, visual-world paradigm, eye-movements, alternations, ception This repository contains data files for the analyses reported in Divjak, D., Milin, P., and Medimorec, S. (2020). Construal in language: A visual-world approach to the effects of linguistic alternations on event perception and conception. Cognitive Linguistics, 31(1). The paper-package is split into R script files which are hosted on GitHub and the supporting datasets in csv format deployed here. The study contains several analyses, as is typical for studies that report eye-movement data. Each part of the analysis is kept in a separate R script file and a corresponding data file. Script and data files parallel the analytic steps in the order described here: https://github.com/ooominds/Construal_in_language/blob/master/README.md Data description Dependent variables: • path_power_transformed - power-transformed (Box-Cox) gaze path length • pupil_power_transformed - power-transformed (Box-Cox) average pupil size • order_of_access - order of access of the respective interest area • first_dwell_power_transformed - power-transformed (Box-Cox) first run dwell time (i.e., gaze duration) • total_dwell_power_transformed - power-transformed (Box-Cox) total dwell duration (i.e., total fixation duration) Independent Variables: • TrialScaled - scaled (z-transformed) order of the trial • Category - category of constructions (natural for naturalistic viewing; PREPOSITION: typical and atypical; VOICE: active and passive; DATIVE: NP and PP) • CanonicalFirst - whether the canonical construction (typical, active, NP) is presented before its atypical partner (atypical, passive, PP); this is a binary or dummy coded variable • InterestArea - interest area labels (A, B, C) • Combined independent variables • InterestAreaAndCategory - interaction (combination) of the interest area and the category Random Effect Variables: • Item - experimental items (image/sentence) • Participant - participant ID • Combined random effect variables • ParticipantAndInterestAreaPosition - interaction (combination) of participant and position of the interest area (e.g., U, D, L, R, NO) For further inquires contact: p.milin@bham.ac.uk 2019 published University of Birmingham 10.25500/edata.bham.00000385 Dataset research-data@contacts.bham.ac.uk School of Languages, Cultures, Art History and Music, Department of Modern Languages School of English, Drama and American & Canadian Studies, Department of English Language and Linguistics lt RLA-2016-001 | Out of Our Minds: optimizing language learning with discriminative algorithms yes yes yes TRUE author Milin Petar P.Milin@bham.ac.uk pub https://research.birmingham.ac.uk/portal/en/publications/construal-in-language(0e5c9f87-bc38-411c-9c19-2ff3f117dc49).html IsDescribedBy doc https://research.birmingham.ac.uk/portal/en/datasets/construal-in-language-a-visualworld-approach-to-the-effects-of-linguistic-alternations-on-event-perception-and-conception(a50be804-143d-4601-988d-bcee08581658).html IsDocumentedBy doc https://github.com/ooominds/Construal_in_language/blob/master/README.md IsDescribedBy