NDLI: Emotion Word Processing: Effects of Word Type and Valence in Spanish

Content Provider	Springer Nature Link
Author	Kazanas, Stephanie A. Altarriba, Jeanette
Copyright Year	2015
Abstract	Previous studies comparing emotion and emotion-laden word processing have used various cognitive tasks, including an Affective Simon Task (Altarriba and Basnight-Brown in Int J Billing 15(3):310–328, 2011), lexical decision task (LDT; Kazanas and Altarriba in Am J Psychol, in press), and rapid serial visual processing (Knickerbocker and Altarriba in Vis Cogn 21(5):599–627, 2013). Each of these studies has found significant differences in emotion and emotion-laden word processing. The current study investigated this word type distinction using a bilingual sample, to assess emotion and emotion-laden word processing in a bilingual’s two languages. Sixty Spanish–English bilinguals performed a masked LDT with positive and negative emotion and emotion-laden word pairs, in either Spanish or English. Overall, the four-way interaction of relatedness, word type, valence, and language was significant. Response times (RTs) to emotion words were significantly faster than RTs to emotion-laden words, but only in English. These results indicate that the emotion/emotion-laden word type distinction may be the most robust in a person’s dominant language.
Starting Page	395
Ending Page	406
Page Count	12
File Format	PDF
ISSN	00906905
Journal	Journal of Psycholinguistic Research
Volume Number	45
Issue Number	2
e-ISSN	15736555
Language	English
Publisher	Springer US
Publisher Date	2015-03-04
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Emotion Word type Valence Priming effects Language dominance Psychology Cognitive Psychology Psycholinguistics
Content Type	Text
Resource Type	Article
Subject	Experimental and Cognitive Psychology Linguistics and Language

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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