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Cognitive Therapy and Research

, Volume 35, Issue 5, pp 469–476 | Cite as

Dysphoria and the Immediate Interpretation of Ambiguity: Evidence for a Negative Interpretive Bias in Error Rates But Not Response Latencies

  • Christopher R. Sears
  • M. A. Suzie Bisson
  • Kate E. Nielsen
Brief Report

Abstract

Cognitive theories of depression (Beck, Journal of Cognitive Psychotherapy: An International Quarterly. 1:5–37, 1987) predict that depressed individuals will have an increased tendency to interpret ambiguous information in a negative manner. Researchers have observed a negative interpretive bias in a variety of situations, but much of the evidence has come from studies that relied on participants’ self-reports and other tasks that are highly susceptible to response biases. Studies that have used semantic priming tasks to covertly probe participants’ immediate interpretations of ambiguity, and thereby avoid response biases, have not observed an interpretive bias (Lawson and MacLeod, Behaviour Research and Therapy. 37:463–474, 1999; Bisson and Sears, Cognition and Emotion. 21:614–645, 2007). The present study used a task better suited to measure interpretive biases in the immediate interpretation of ambiguity: the semantic relatedness decision task. Participants listened to self-referent ambiguous prime sentences (e.g., My boyfriend said that I am unlike his past girlfriends) and responded to visually presented target words related to a negative (jealous), positive (attractive), or neutral (relationship) interpretation of the sentence. The task was to quickly indicate whether or not the target was related to the ambiguous prime (a yes or no response). The expectation was that dysphoric participants would respond more quickly to targets related to the negative interpretations of the primes because they would be more likely to impose negative interpretations on the ambiguity. This was not the case. On the other hand, the error data revealed that dysphoric participants made fewer errors to targets related to the negative interpretations of the primes (i.e., fewer “no” responses to negatively-related targets) and made more errors to targets related to the positive interpretations of the primes, a pattern consistent with a negative interpretive bias. These findings demonstrate that the semantic relatedness task is a promising tool for the study of interpretive biases in dysphoria and depression.

Keywords

Depression Dysphoria Interpretation of ambiguity Negative bias 

Notes

Acknowledgments

This research was supported by a Natural Sciences and Engineering Research Council (NSERC) of Canada grant to the first author. The materials used in the study are available from the authors upon request. We thank two anonymous reviewers for their excellent feedback and suggestions.

References

  1. Beck, A. T. (1987). Cognitive models of depression. Journal of Cognitive Psychotherapy: An International Quarterly, 1, 5–37.Google Scholar
  2. Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Beck Depression Inventory Manual (2nd ed.). San Antonio: Psychological Corporation.Google Scholar
  3. Bisson, M. A. S., & Sears, C. R. (2007). The effect of depressed mood on the interpretation of ambiguity, with and without negative mood induction. Cognition and Emotion, 21, 614–645.CrossRefGoogle Scholar
  4. Blanchette, I., and Richards, A. (2010). The influence of affect on higher level cognition: A review of research on interpretation, judgement, and decision making and reasoning. Cognition and Emotion, in press.Google Scholar
  5. Bradley, B., & Mathews, A. (1983). Negative self-schemata in clinical depression. British Journal of Clinical Psychology, 22, 173–182.PubMedCrossRefGoogle Scholar
  6. Butler, G., & Mathews, A. (1983). Cognitive processes in anxiety. Advanced Behaviour Research and Therapy, 5, 51–62.CrossRefGoogle Scholar
  7. Cane, D. B., & Gotlib, I. H. (1985). Depression and the effects of positive and negative feedback on expectations, evaluations, and performance. Cognitive Therapy and Research, 9, 145–160.CrossRefGoogle Scholar
  8. Dozois, D., Dobson, K. S., & Ahnberg, J. L. (1998). A psychometric evaluation of the Beck Depression Inventory-II. Psychological Assessment, 10, 83–89.CrossRefGoogle Scholar
  9. Forgas, J. P., Bower, G. H., & Krantz, S. E. (1984). The influence of mood on perceptions of social interactions. Journal of Experimental Social Psychology, 20, 497–513.CrossRefGoogle Scholar
  10. Forster, K. I., & Forster, J. C. (2003). DMDX: A Windows display program with millisecond accuracy. Behavior Research Methods, Instruments, and Computers, 35, 116–124.PubMedCrossRefGoogle Scholar
  11. Gottlob, L. R., Goldinger, S. D., Stone, G. O., & Van Orden, G. C. (1999). Reading homographs: Orthographic, phonologic, and semantic dynamics. Journal of Experimental Psychology: Human Perception and Performance, 25, 561–574.PubMedCrossRefGoogle Scholar
  12. Ingram, R. E. (1984). Toward an information-processing analysis of depression. Cognitive Therapy and Research, 8, 443–477.CrossRefGoogle Scholar
  13. Kucera, H., & Francis, W. N. (1967). Computational analysis of present-day American English. Providence: Brown University Press.Google Scholar
  14. Lawson, C., & MacLeod, C. (1999). Depression and the interpretation of ambiguity. Behaviour Research and Therapy, 37, 463–474.PubMedCrossRefGoogle Scholar
  15. Lawson, C., MacLeod, C., & Hammond, G. (2002). Interpretation revealed in the blink of an eye: Depressive bias in the resolution of ambiguity. Journal of Abnormal Psychology, 111, 321–328.PubMedCrossRefGoogle Scholar
  16. McNamara, T. P. (2005). Semantic priming: Perspectives from memory and word recognition. Psychology Press: New York.CrossRefGoogle Scholar
  17. Mogg, K., Bradbury, K. E., & Bradley, B. P. (2006). Interpretation of ambiguous information in clinical depression. Behavior Research and Therapy, 44, 1411–1419.CrossRefGoogle Scholar
  18. Moretti, M. M., & Shaw, B. F. (1989). Automatic and dysfunctional cognitive processes in depression. In J. S. Uleman & J. A. Bargh (Eds.), Unintended thought (pp. 383–424). New York: Guilford Press.Google Scholar
  19. Moretti, M. M., Segal, Z. V., McCann, C. D., Shaw, B. F., Miller, D. T., & Vella, D. (1996). Self-referent versus other-referent information processing in dysphoric, clinically depressed, and remitted depressed subjects. Personality and Social Psychology, 22, 68–80.CrossRefGoogle Scholar
  20. Nasby, W. (1994). Moderators of mood-congruent encoding: Self-/other-reference and affirmative/nonaffirmative judgment. Cognition and Emotion, 8, 259–278.CrossRefGoogle Scholar
  21. Norman, W. H., Miller, I. W., & Klee, S. H. (1983). Assessment of cognitive distortion in a clinically depressed population. Cognitive Therapy and Research, 7, 133–140.CrossRefGoogle Scholar
  22. Nunn, J. D., Mathews, A. M., & Trower, P. (1997). Selective processing of concern-related information in depression. British Journal of Clinical Psychology, 36, 489–503.PubMedCrossRefGoogle Scholar
  23. Potts, A. J., Bennett, P. J., Kennedy, S. H., & Vaccarino, F. J. (1997). Depressive symptoms and alterations in sucrose taste perception: Cognitive bias or a true change in sensitivity? Canadian Journal of Experimental Psychology, 51, 57–61.PubMedGoogle Scholar
  24. Rodd, J. M., Davis, M. H., & Johnsrude, I. S. (2005). The neural mechanisms of speech comprehension: fMRI studies of semantic ambiguity. Cerebral Cortex, 15, 1261–1269.PubMedCrossRefGoogle Scholar
  25. Rusting, C. L. (1998). Personality, mood, and cognitive processing of emotional information: Three conceptual frameworks. Psychological Bulletin, 124, 165–196.PubMedCrossRefGoogle Scholar
  26. Teasdale, J. D. (1983). Negative thinking in depression: Cause, effect, or reciprocal relationship? Advances in Behavior Research and Therapy, 5, 3–25.CrossRefGoogle Scholar
  27. Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54, 1063–1070.PubMedCrossRefGoogle Scholar
  28. Williams, J. M. G., Watts, F. N., MacLeod, C., & Mathews, A. (1997). Cognitive psychology and emotional disorders (2nd ed.). Chichester: Wiley.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Christopher R. Sears
    • 1
  • M. A. Suzie Bisson
    • 1
  • Kate E. Nielsen
    • 1
  1. 1.Department of PsychologyUniversity of CalgaryCalgaryCanada

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