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Behavior Research Methods

, Volume 39, Issue 4, pp 1020–1024 | Cite as

Characterization of the Affective Norms for English Words by discrete emotional categories

  • Ryan A. Stevenson
  • Joseph A. Mikels
  • Thomas W. James
Article

Abstract

The Affective Norms for English Words (ANEW) are a commonly used set of 1,034 words characterized on the affective dimensions of valence, arousal, and dominance. Traditionally, studies of affect have used stimuli characterized along either affective dimensions or discrete emotional categories, but much current research draws on both of these perspectives. As such, stimuli that have been thoroughly characterized according to both of these approaches are exceptionally useful. In an effort to provide researchers with such a characterization of stimuli, we have collected descriptive data on the ANEW to identify which discrete emotions are elicited by each word in the set. Our data, coupled with previous characterizations of the dimensional aspects of these words, will allow researchers to control for or manipulate stimulus properties in accordance with both dimensional and discrete emotional views, and provide an avenue for further integration of these two perspectives. Our data have been archived at www.psychonomic.org/archive/.

Keywords

Lexical Decision Emotional Word Negative Word Affective Dimension Emotional Category 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Supplementary material

Stevenson-BRM-2007.zip (311 kb)
Supplementary material, approximately 340 KB.

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Copyright information

© Psychonomic Society, Inc. 2007

Authors and Affiliations

  • Ryan A. Stevenson
    • 1
  • Joseph A. Mikels
    • 2
  • Thomas W. James
    • 1
  1. 1.Department of Psychological and Brain SciencesIndiana UniversityBloomington
  2. 2.Cornell UniversityIthaca

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