Sensory experience ratings for over 5,000 mono- and disyllabic words
Sensory experience ratings (SERs) reflect the extent to which a word evokes a sensory and/or perceptual experience in the mind of the reader. Juhasz, Yap, Dicke, Taylor, and Gullick (Quarterly Journal of Experimental Psychology 64:1683–1691, 2011 ) demonstrated that SERs predict a significant amount...
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| description | Sensory experience ratings (SERs) reflect the extent to which a word evokes a sensory and/or perceptual experience in the mind of the reader. Juhasz, Yap, Dicke, Taylor, and Gullick (Quarterly Journal of Experimental Psychology 64:1683–1691,
2011
) demonstrated that SERs predict a significant amount of variance in lexical-decision response times in two megastudies of lexical processing when a large number of established psycholinguistic variables are controlled for. Here we provide the SERs for the 2,857 monosyllabic words used in the Juhasz et al. study, as well as newly collected ratings on 3,000 disyllabic words. New analyses with the combined set of words confirmed that SERs predict a reliable amount of variance in the lexical-decision response times and naming times from the English Lexicon Project (Balota, Yap, Cortese, Hutchison, Kessler, Loftus, & Treiman, Behavior Research Methods 39:445–459,
2007
) when a large number of surface, lexical, and semantic variables are statistically controlled for. The results suggest that the relative availability of sensory/perceptual information associated with a word contributes to lexical–semantic processing. |
| doi_str_mv | 10.3758/s13428-012-0242-9 |
| format | Article |
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2011
) demonstrated that SERs predict a significant amount of variance in lexical-decision response times in two megastudies of lexical processing when a large number of established psycholinguistic variables are controlled for. Here we provide the SERs for the 2,857 monosyllabic words used in the Juhasz et al. study, as well as newly collected ratings on 3,000 disyllabic words. New analyses with the combined set of words confirmed that SERs predict a reliable amount of variance in the lexical-decision response times and naming times from the English Lexicon Project (Balota, Yap, Cortese, Hutchison, Kessler, Loftus, & Treiman, Behavior Research Methods 39:445–459,
2007
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2011
) demonstrated that SERs predict a significant amount of variance in lexical-decision response times in two megastudies of lexical processing when a large number of established psycholinguistic variables are controlled for. Here we provide the SERs for the 2,857 monosyllabic words used in the Juhasz et al. study, as well as newly collected ratings on 3,000 disyllabic words. New analyses with the combined set of words confirmed that SERs predict a reliable amount of variance in the lexical-decision response times and naming times from the English Lexicon Project (Balota, Yap, Cortese, Hutchison, Kessler, Loftus, & Treiman, Behavior Research Methods 39:445–459,
2007
) when a large number of surface, lexical, and semantic variables are statistically controlled for. 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Yap, Melvin J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c482t-707bf045c02b131949d2d5b867d0f4b951448669c72b744f1e7910ad66af43843</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Behavioral Science and Psychology</topic><topic>Brain research</topic><topic>Cognition</topic><topic>Cognitive Psychology</topic><topic>Decision Making</topic><topic>Humans</topic><topic>Medical imaging</topic><topic>Phonetics</topic><topic>Psycholinguistics</topic><topic>Psychology</topic><topic>R&D</topic><topic>Ratings & rankings</topic><topic>Reaction Time</topic><topic>Recognition (Psychology)</topic><topic>Research & development</topic><topic>Semantics</topic><topic>Sensation</topic><topic>Simulation</topic><topic>Studies</topic><topic>Variables</topic><topic>Vocabulary</topic><topic>Word Association Tests</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Juhasz, Barbara J.</creatorcontrib><creatorcontrib>Yap, Melvin J.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale Academic OneFile</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Social Science Database</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Behavior Research Methods</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Juhasz, Barbara J.</au><au>Yap, Melvin J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sensory experience ratings for over 5,000 mono- and disyllabic words</atitle><jtitle>Behavior Research Methods</jtitle><stitle>Behav Res</stitle><addtitle>Behav Res Methods</addtitle><date>2013-03-01</date><risdate>2013</risdate><volume>45</volume><issue>1</issue><spage>160</spage><epage>168</epage><pages>160-168</pages><issn>1554-3528</issn><eissn>1554-3528</eissn><abstract>Sensory experience ratings (SERs) reflect the extent to which a word evokes a sensory and/or perceptual experience in the mind of the reader. Juhasz, Yap, Dicke, Taylor, and Gullick (Quarterly Journal of Experimental Psychology 64:1683–1691,
2011
) demonstrated that SERs predict a significant amount of variance in lexical-decision response times in two megastudies of lexical processing when a large number of established psycholinguistic variables are controlled for. Here we provide the SERs for the 2,857 monosyllabic words used in the Juhasz et al. study, as well as newly collected ratings on 3,000 disyllabic words. New analyses with the combined set of words confirmed that SERs predict a reliable amount of variance in the lexical-decision response times and naming times from the English Lexicon Project (Balota, Yap, Cortese, Hutchison, Kessler, Loftus, & Treiman, Behavior Research Methods 39:445–459,
2007
) when a large number of surface, lexical, and semantic variables are statistically controlled for. The results suggest that the relative availability of sensory/perceptual information associated with a word contributes to lexical–semantic processing.</abstract><cop>New York</cop><pub>Springer-Verlag</pub><pmid>22936106</pmid><doi>10.3758/s13428-012-0242-9</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Behavioral Science and Psychology Brain research Cognition Cognitive Psychology Decision Making Humans Medical imaging Phonetics Psycholinguistics Psychology R&D Ratings & rankings Reaction Time Recognition (Psychology) Research & development Semantics Sensation Simulation Studies Variables Vocabulary Word Association Tests |
| title | Sensory experience ratings for over 5,000 mono- and disyllabic words |
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