{"dcterms:modified":"2021-10-21","dcterms:creator":"DataverseNO","@type":"ore:ResourceMap","@id":"https://dataverse.no/api/datasets/export?exporter=OAI_ORE&persistentId=doi:10.18710/2YJITD","ore:describes":{"citation:Production Date":"2019","socialscience:Collection Mode":"Ibex Farm (Drummond 2013)\nAmazon Mechanical Turk","Title":"Replication Data for: Using structural priming to test links between constructions: English caused-motion and resultative sentences inhibit each other","citation:Depositor":"Ungerer, Tobias","Deposit Date":"2020-11-30","citation:Production Place":"Edinburgh","Subject":"Arts and Humanities","Kind of Data":"experimental data","Language":"English","socialscience:Response Rate":"182 (98.4%)","citation:Description":{"dsDescription:Text":"
This dataset contains response time data and participant data (nativeness, age, gender, handedness) from a structural priming experiment (N = 160) testing the link between the English caused-motion and resultative construction. The study used the \"maze\" variant of self-paced reading, in which participants read sentences word by word and choose between a sensible sentence continuation and a distractor word at every step. The study examines the (interacting) effects of the prime construction, target construction and verb overlap (whether prime and target contained the same or different verbs) on participants' response times.
\nAbstract: Cognitive-linguistic theories commonly model speakers’ grammatical knowledge as a network of constructions related by a variety of associative links. The present study proposes that structural priming can provide psycholinguistic evidence of such links, and crucially, that the method can be extended to non-alternating constructions (i.e. constructions that differ in both form and meaning). In a comprehension priming experiment using the “maze” variant of self-paced reading, English caused-motion sentences were found to have an inhibitory effect by slowing down participants’ subsequent processing of resultatives, and vice versa, providing evidence that speakers store distinct but related representations for the constructions. Priming effects of a similar magnitude emerged in both directions, suggesting that the constructions are bidirectionally related, while not supporting previous claims about a metaphorical asymmetry between the patterns. Moreover, priming was only marginally affected when prime and target contained the same rather than different verbs, demonstrating that cross-constructional priming in comprehension can be observed in the absence of a “lexical boost”. The results raise questions for follow-up research on the role of inhibition in the grammatical network and the extension of structural priming to other types of constructional links.
","dsDescription:Date":"2020-11-30"},"socialscience:Target Sample Size":{"targetSampleSize:Actual":"185"},"citation:Contact":{"datasetContact:Name":"Ungerer, Tobias","datasetContact:Affiliation":"University of Edinburgh","datasetContact:E-mail":"t.ungerer@ed.ac.uk"},"Author":{"author:Name":"Ungerer, Tobias","author:Affiliation":"University of Edinburgh","Identifier Scheme":"ORCID","Identifier":"0000-0002-6879-7584"},"Software":{"software:Name":"R","software:Version":"3.6.1"},"Related Publication":{"Citation":"Tobias Ungerer. 2021. Using structural priming to test links between constructions: English caused-motion and resultative sentences inhibit each other. Cognitive Linguistics 32(3). 389-420.","ID Type":"doi","ID Number":"10.1515/cog-2020-0016","URL":"https://doi.org/10.1515/cog-2020-0016"},"Grant Information":{"grantNumber:Grant Agency":"PPLS Research Support Grant, University of Edinburgh"},"citation:Producer":{"producer:Name":"University of Edinburgh","producer:URL":"https://www.ed.ac.uk/"},"Contributor":[{"contributor:Type":"Supervisor","contributor:Name":"Trousdale, Graeme"},{"contributor:Type":"Supervisor","contributor:Name":"Gisborne, Nikolas"},{"contributor:Type":"Supervisor","contributor:Name":"Cummins, Chris"}],"Time Period Covered":{"timePeriodCovered:Start":"2019-07-24","timePeriodCovered:End":"2019-07-28"},"citation:Keyword":[{"keyword:Term":"structural priming"},{"keyword:Term":"network relations"},{"keyword:Term":"English"},{"keyword:Term":"caused-motion"},{"keyword:Term":"resultative"},{"keyword:Term":"inhibition"}],"citation:Distributor":{"distributor:Name":"The Tromsø Repository of Language and Linguistics","distributor:Abbreviation":"TROLLing","distributor:URL":"https://trolling.uit.no"},"citation:Date of Collection":{"dateOfCollection:Start":"2019-07-24","dateOfCollection:End":"2019-07-28"},"geospatial:Geographic Coverage":{"geographicCoverage:Country / Nation":"United States"},"@id":"doi:10.18710/2YJITD","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"2.0","schema:name":"Replication Data for: Using structural priming to test links between constructions: English caused-motion and resultative sentences inhibit each other","schema:dateModified":"Wed Sep 22 12:55:09 CEST 2021","schema:datePublished":"2020-12-01","schema:license":"https://creativecommons.org/publicdomain/zero/1.0/","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":false},"schema:includedInDataCatalog":"DataverseNO","ore:aggregates":[{"schema:description":"Description of methods & dataset","schema:name":"00_ReadMe.txt","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":1844,"@id":"doi:10.18710/2YJITD/WPPRVD","schema:sameAs":"https://dataverse.no/api/access/datafile/:persistentId?persistentId=doi:10.18710/2YJITD/WPPRVD","@type":"ore:AggregatedResource","schema:fileFormat":"text/plain","dvcore:filesize":7630,"dvcore:storageIdentifier":"file://17c02ec4510-bdd6358b26e0","dvcore:rootDataFileId":86906,"dvcore:previousDataFileId":86906,"dvcore:checksum":{"@type":"MD5","@value":"92f3133cb12fbd5e4f4a26ad6c1fc995"}},{"schema:description":"Code for the statistical analysis (descriptive and inferential)","schema:name":"Analysis.R","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":1844,"@id":"doi:10.18710/2YJITD/3SJ6BL","schema:sameAs":"https://dataverse.no/api/access/datafile/:persistentId?persistentId=doi:10.18710/2YJITD/3SJ6BL","@type":"ore:AggregatedResource","schema:fileFormat":"type/x-r-syntax","dvcore:filesize":23621,"dvcore:storageIdentifier":"file://1761b49baaa-9eafe59adfbb","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"b683f06b7eb6cec236e5c4813b3eafec"}},{"schema:description":"Participants data","schema:name":"data_participants.tab","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":1844,"@id":"doi:10.18710/2YJITD/UYNXCG","schema:sameAs":"https://dataverse.no/api/access/datafile/:persistentId?persistentId=doi:10.18710/2YJITD/UYNXCG","@type":"ore:AggregatedResource","schema:fileFormat":"text/tab-separated-values","dvcore:filesize":6503,"dvcore:storageIdentifier":"file://1761a6c87ee-d050652f2ab6","dvcore:originalFileFormat":"text/csv","dvcore:originalFormatLabel":"Comma Separated Values","dvcore:UNF":"UNF:6:D6WxTnxuKpKTsLjGj7Yeug==","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"e5292d862dda28869c1ed62355fe0c11"}},{"schema:description":"Response time data","schema:name":"data_RT.tab","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":1844,"@id":"doi:10.18710/2YJITD/DUA7TK","schema:sameAs":"https://dataverse.no/api/access/datafile/:persistentId?persistentId=doi:10.18710/2YJITD/DUA7TK","@type":"ore:AggregatedResource","schema:fileFormat":"text/tab-separated-values","dvcore:filesize":27861918,"dvcore:storageIdentifier":"file://1761a69ed6e-60e19a1f3d37","dvcore:originalFileFormat":"text/csv","dvcore:originalFormatLabel":"Comma Separated Values","dvcore:UNF":"UNF:6:EOS/kZk4Tnr6zoeFudy9ow==","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"9affb23df247cbac896995007066b5de"}},{"schema:description":"Code to prepare data for analysis","schema:name":"Preprocessing.R","dvcore:restricted":false,"schema:version":1,"dvcore:datasetVersionId":1844,"@id":"doi:10.18710/2YJITD/IYWE5O","schema:sameAs":"https://dataverse.no/api/access/datafile/:persistentId?persistentId=doi:10.18710/2YJITD/IYWE5O","@type":"ore:AggregatedResource","schema:fileFormat":"type/x-r-syntax","dvcore:filesize":6492,"dvcore:storageIdentifier":"file://1761a7be436-3fc51cedddea","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"0bfe00f1ac9b020fab5ddc8aa1f92476"}}],"schema:hasPart":["doi:10.18710/2YJITD/WPPRVD","doi:10.18710/2YJITD/3SJ6BL","doi:10.18710/2YJITD/UYNXCG","doi:10.18710/2YJITD/DUA7TK","doi:10.18710/2YJITD/IYWE5O"]},"@context":{"Author":"http://purl.org/dc/terms/creator","Citation":"http://purl.org/dc/terms/bibliographicCitation","Contributor":"http://purl.org/dc/terms/contributor","Deposit Date":"http://purl.org/dc/terms/dateSubmitted","Grant Information":"https://schema.org/sponsor","ID Number":"http://purl.org/spar/datacite/ResourceIdentifier","ID Type":"http://purl.org/spar/datacite/ResourceIdentifierScheme","Identifier":"http://purl.org/spar/datacite/AgentIdentifier","Identifier Scheme":"http://purl.org/spar/datacite/AgentIdentifierScheme","Kind of Data":"http://rdf-vocabulary.ddialliance.org/discovery#kindOfData","Language":"http://purl.org/dc/terms/language","Related Publication":"http://purl.org/dc/terms/isReferencedBy","Software":"https://www.w3.org/TR/prov-o/#wasGeneratedBy","Subject":"http://purl.org/dc/terms/subject","Time Period Covered":"https://schema.org/temporalCoverage","Title":"http://purl.org/dc/terms/title","URL":"https://schema.org/distribution","author":"https://dataverse.org/schema/citation/author#","citation":"https://dataverse.org/schema/citation/","contributor":"https://dataverse.org/schema/citation/contributor#","datasetContact":"https://dataverse.org/schema/citation/datasetContact#","dateOfCollection":"https://dataverse.org/schema/citation/dateOfCollection#","dcterms":"http://purl.org/dc/terms/","distributor":"https://dataverse.org/schema/citation/distributor#","dsDescription":"https://dataverse.org/schema/citation/dsDescription#","dvcore":"https://dataverse.org/schema/core#","geographicCoverage":"https://dataverse.no/schema/geospatial/geographicCoverage#","geospatial":"https://dataverse.no/schema/geospatial#","grantNumber":"https://dataverse.org/schema/citation/grantNumber#","keyword":"https://dataverse.org/schema/citation/keyword#","ore":"http://www.openarchives.org/ore/terms/","producer":"https://dataverse.org/schema/citation/producer#","schema":"http://schema.org/","socialscience":"https://dataverse.no/schema/socialscience#","software":"https://dataverse.org/schema/citation/software#","targetSampleSize":"https://dataverse.no/schema/socialscience/targetSampleSize#","timePeriodCovered":"https://dataverse.org/schema/citation/timePeriodCovered#"}}