HapticV1, PubMed, Corpus, bibRecord, 000836

Concreteness ratings for 40 thousand generally known English word lemmas.

Identifieur interne : 000836 ( PubMed/Corpus ); précédent : 000835; suivant : 000837

Concreteness ratings for 40 thousand generally known English word lemmas.

Auteurs : Marc Brysbaert ; Amy Beth Warriner ; Victor Kuperman

Source :

Behavior research methods [ 1554-3528 ] ; 2014.

RBID : pubmed:24142837

English descriptors

KwdEn :
- Adolescent, Adult, Aged, Concept Formation, Emotions, European Continental Ancestry Group, Female, Humans, Internet, Language, Male, Middle Aged, Psycholinguistics (methods), Semantics, United States, Young Adult.
MESH :
- geographic : United States.
- methods : Psycholinguistics.
- Adolescent, Adult, Aged, Concept Formation, Emotions, European Continental Ancestry Group, Female, Humans, Internet, Language, Male, Middle Aged, Semantics, Young Adult.

Abstract

Concreteness ratings are presented for 37,058 English words and 2,896 two-word expressions (such as zebra crossing and zoom in), obtained from over 4,000 participants by means of a norming study using Internet crowdsourcing for data collection. Although the instructions stressed that the assessment of word concreteness would be based on experiences involving all senses and motor responses, a comparison with the existing concreteness norms indicates that participants, as before, largely focused on visual and haptic experiences. The reported data set is a subset of a comprehensive list of English lemmas and contains all lemmas known by at least 85 % of the raters. It can be used in future research as a reference list of generally known English lemmas.

DOI: 10.3758/s13428-013-0403-5
PubMed: 24142837

Links to Exploration step

pubmed:24142837

Le document en format XML

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<author><name sortKey="Brysbaert, Marc" sort="Brysbaert, Marc" uniqKey="Brysbaert M" first="Marc" last="Brysbaert">Marc Brysbaert</name>
<affiliation><nlm:affiliation>Department of Experimental Psychology, Ghent University, Henri Dunantlaan 2, 9000, Gent, Belgium, marc.brysbaert@ugent.be.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Warriner, Amy Beth" sort="Warriner, Amy Beth" uniqKey="Warriner A" first="Amy Beth" last="Warriner">Amy Beth Warriner</name>
</author>
<author><name sortKey="Kuperman, Victor" sort="Kuperman, Victor" uniqKey="Kuperman V" first="Victor" last="Kuperman">Victor Kuperman</name>
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<author><name sortKey="Kuperman, Victor" sort="Kuperman, Victor" uniqKey="Kuperman V" first="Victor" last="Kuperman">Victor Kuperman</name>
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<series><title level="j">Behavior research methods</title>
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<term>European Continental Ancestry Group</term>
<term>Female</term>
<term>Humans</term>
<term>Internet</term>
<term>Language</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Psycholinguistics (methods)</term>
<term>Semantics</term>
<term>United States</term>
<term>Young Adult</term>
</keywords>
<keywords scheme="MESH" type="geographic" xml:lang="en"><term>United States</term>
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<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Psycholinguistics</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Concept Formation</term>
<term>Emotions</term>
<term>European Continental Ancestry Group</term>
<term>Female</term>
<term>Humans</term>
<term>Internet</term>
<term>Language</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Semantics</term>
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<front><div type="abstract" xml:lang="en">Concreteness ratings are presented for 37,058 English words and 2,896 two-word expressions (such as zebra crossing and zoom in), obtained from over 4,000 participants by means of a norming study using Internet crowdsourcing for data collection. Although the instructions stressed that the assessment of word concreteness would be based on experiences involving all senses and motor responses, a comparison with the existing concreteness norms indicates that participants, as before, largely focused on visual and haptic experiences. The reported data set is a subset of a comprehensive list of English lemmas and contains all lemmas known by at least 85 % of the raters. It can be used in future research as a reference list of generally known English lemmas.</div>
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<Month>07</Month>
<Day>22</Day>
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<Month>10</Month>
<Day>16</Day>
</DateCompleted>
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<JournalIssue CitedMedium="Internet"><Volume>46</Volume>
<Issue>3</Issue>
<PubDate><Year>2014</Year>
<Month>Sep</Month>
</PubDate>
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<Title>Behavior research methods</Title>
<ISOAbbreviation>Behav Res Methods</ISOAbbreviation>
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<ArticleTitle>Concreteness ratings for 40 thousand generally known English word lemmas.</ArticleTitle>
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<ELocationID EIdType="doi" ValidYN="Y">10.3758/s13428-013-0403-5</ELocationID>
<Abstract><AbstractText>Concreteness ratings are presented for 37,058 English words and 2,896 two-word expressions (such as zebra crossing and zoom in), obtained from over 4,000 participants by means of a norming study using Internet crowdsourcing for data collection. Although the instructions stressed that the assessment of word concreteness would be based on experiences involving all senses and motor responses, a comparison with the existing concreteness norms indicates that participants, as before, largely focused on visual and haptic experiences. The reported data set is a subset of a comprehensive list of English lemmas and contains all lemmas known by at least 85 % of the raters. It can be used in future research as a reference list of generally known English lemmas.</AbstractText>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D000368">Aged</DescriptorName>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D003210">Concept Formation</DescriptorName>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D004644">Emotions</DescriptorName>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D044465">European Continental Ancestry Group</DescriptorName>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D005260">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName MajorTopicYN="N" UI="D020407">Internet</DescriptorName>
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<MeshHeading><DescriptorName MajorTopicYN="Y" UI="D007802">Language</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName MajorTopicYN="N" UI="D008297">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName MajorTopicYN="N" UI="D008875">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName MajorTopicYN="N" UI="D011578">Psycholinguistics</DescriptorName>
<QualifierName MajorTopicYN="Y" UI="Q000379">methods</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName MajorTopicYN="Y" UI="D012660">Semantics</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName MajorTopicYN="N" Type="Geographic" UI="D014481">United States</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName MajorTopicYN="N" UI="D055815">Young Adult</DescriptorName>
</MeshHeading>
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Concreteness ratings for 40 thousand generally known English word lemmas.

Concreteness ratings for 40 thousand generally known English word lemmas.

Source :

English descriptors

Abstract

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki