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  1. The language of emotions: An analysis of a semantic field.P. N. Johnson-Laird & Keith Oatley - 1989 - Cognition and Emotion 3 (2):81-123.
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  • Towards a Cognitive Theory of Emotions.Keith Oatley & P. N. Johnson-Laird - 1987 - Cognition and Emotion 1 (1):29-50.
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  • The Role of Culture and Gender in the Relationship between Positive and Negative Affect.Richard P. Bagozzi, Nancy Wong & Youjae Yi - 1999 - Cognition and Emotion 13 (6):641-672.
    An integrative explanation proposes that culture and gender interact to produce fundamentally different patterns of association between positive and negative emotions. People in independent-based cultures (e.g. the United States) experience emotions in oppositional (i.e. bipolar) ways, whereas people in interdependent-based cultures (e.g. China) experience emotions in dialectic ways. These patterns are stronger for women than men in both cultures. In support of the theory, Study 1 showed that positive and negative emotions are strongly correlated inversely for American women and weakly (...)
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  • Discrete Emotions or Dimensions? The Role of Valence Focus and Arousal Focus.L. Feldman Barrett - 1998 - Cognition and Emotion 12 (4):579-599.
    The present study provides evidence that valence focus and arousal focus are important processes in determining whether a dimensional or a discrete emotion model best captures how people label their affective states. Individuals high in valence focus and low in arousal focus fit a dimensional model better in that they reported more co-occurrences among like-valenced affective states, whereas those lower in valence focus and higher in arousal focus fit a discrete model better in that they reported fewer co-occurrences between like-valenced (...)
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  • Discrete Emotions or Dimensions? The Role of Valence Focus and Arousal Focus.Lisa Feldman Barrett - 1998 - Cognition and Emotion 12 (4):579-599.
    The present study provides evidence that valence focus and arousal focus are important processes in determining whether a dimensional or a discrete emotion model best captures how people label their affective states. Individuals high in valence focus and low in arousal focus fit a dimensional model better in that they reported more co-occurrences among like-valenced affective states, whereas those lower in valence focus and higher in arousal focus fit a discrete model better in that they reported fewer co-occurrences between like-valenced (...)
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