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Automatic vigilance for negative words is categorical and general

By Zachary Estes and James S. Adelman

Abstract

With other factors controlled, negative words elicit slower lexical decisions and naming than positive words (Estes & Adelman, 2008; see record 2008-09984-001). Moreover, this marked difference in responding to negative words and to positive words (i.e., between-category discontinuity) was accompanied by relatively uniform responding among negative words (i.e., within-category equivalence), thus suggesting a categorical model of automatic vigilance. Larsen, Mercer, Balota, and Strube (this issue; see record 2008-09984-002) corroborated our observation that valence predicts lexical decision and word naming latencies. However, on the basis of an interaction between linear arousal and linear valence, they claim that automatic vigilance does not occur among arousing stimuli and they purport to reject the categorical model. Here we show that (a) this interaction is logically irrelevant to whether automatic vigilance is categorical; (b) the linear interaction is statistically consistent with the categorical model; (c) the interaction is not observed within the categorical model; and (d) despite having 5 fewer parameters, the categorical model predicts word recognition times as well as the interaction model. Thus, automatic vigilance is categorical and generalizes across levels of arousa

Topics: BF
Publisher: American Psychological Association
Year: 2008
OAI identifier: oai:wrap.warwick.ac.uk:374

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  1. (2006). (this issue). Automatic vigilance for negative words in lexical decision and naming: doi
  2. (2004). A rational look at the emotional Stroop phenomenon: A generic slowdown, not a Stroop effect. doi
  3. (2007). Affect and action: Towards an event-coding account. doi
  4. (1999). Affective norms for English words (ANEW): Instruction manual and affective ratings.
  5. (2003). Affective priming: Findings and theories. doi
  6. (2000). Automatic vigilance: The attention-grabbing power of approach- and avoidance-related social information. doi
  7. (1991). Automatic vigilance: The attention-grabbing power of negative social information. doi
  8. (2001). Categorical perception of facial expressions of emotion: Evidence from multidimensional scaling. doi
  9. (1992). Categorical perception of facial expressions. doi
  10. (2005). Categorical perception of vocal emotion expressions. doi
  11. (2003). Communication of emotions in vocal expression and music performance: Different channels, same code? doi
  12. (2001). Do threatening stimuli draw or hold visual attention in subclinical anxiety? doi
  13. (1997). Facial expression megamix: Tests of dimensional and category accounts of emotion recognition. doi
  14. (1999). Fearfulness and affective evaluations of pictures.
  15. (1980). Feeling and thinking: Preferences need no inferences. doi
  16. (1998). From simple associations to the building blocks of language: Modeling meaning in memory with the HAL model. doi
  17. (2006). Lexical characteristics of words used in emotional Stroop experiments. doi
  18. (1995). Magnitude of sex differences in spatial abilities: A meta-analysis and consideration of critical variables. doi
  19. (2006). More efficient rejection of happy than of angry face distractors in visual search. doi
  20. (2004). Reversing the emotional Stroop effect reveals that it is not what it seems: The role of fast and slow components. doi
  21. (2002). The English Lexicon Project: A Web-based repository of descriptive and behavioral measures for 40,481 English words and non-words. Available at http://elexicon.wustl.edu.
  22. (1982). Thoughts on the relationship between emotion and cognition. doi
  23. (2004). Visual word recognition of single-syllable words.

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