HOW TO REMOVE THE INFLUENCE OF EXPECTATION BIAS IN PRESENTIMENT AND SIMILAR EXPERIMENTS: A RECOMMENDED STRATEGY.

Here we reconsider expectation bias in so-called presentiment experiments, with focus on how to handle it. In such experiments, presentiment is usually thought to be demonstrated by showing that significant physiological differences precede stimuli presumed to give rise to different arousal levels....

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Published in:Journal of Parapsychology Vol. 78; no. 1; pp. 80 - 98
Main Authors: DALKVIST, JAN, MOSSBRIDGE, JULIA, WESTERLUND, JOAKIM
Format: Article
Published: Rhine Research Center Spring2014
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        atl: HOW TO REMOVE THE INFLUENCE OF EXPECTATION BIAS IN PRESENTIMENT AND SIMILAR EXPERIMENTS: A RECOMMENDED STRATEGY.
      aug:
        au:
          DALKVIST, JAN
          MOSSBRIDGE, JULIA
          WESTERLUND, JOAKIM
        affil:
          Department of Psychology Stockholm University, S-106 91 Stockholm, Sweden
          Department of Psychology Northwestern University 2209 N. Sheridan Road Evanston, IL, 60208, USA
      su:
        Prejudices
        Precognition
        Analysis of variance
        Discrimination prevention
      sug:
        subj:
          Prejudices
          Precognition
          Analysis of variance
          Discrimination prevention
      keyword:
        analysis of variance
        expectation bias
        gambler's fallacy
        precognition
        presentiment
        analysis of variance
        expectation bias
        gambler's fallacy
        precognition
        presentiment
      ab: Here we reconsider expectation bias in so-called presentiment experiments, with focus on how to handle it. In such experiments, presentiment is usually thought to be demonstrated by showing that significant physiological differences precede stimuli presumed to give rise to different arousal levels. Often these differences suggest that physiological arousal is more likely to precede arousing rather than calming stimuli. Conceivably, however, such reactions can be explained as resulting from expectation bias of the gambler's fallacy type. This bias is based on the (false) notion that the likelihood of an arousing stimulus being presented grows as the number of consecutive calming stimuli increases. Different ways of controlling or avoiding the bias are discussed. Our resulting recommendation is to use analysis of variance (ANOVA) to separate the effect of the bias from the hypothetical presentiment effect, preferably at the trial-by-trial level. We also recommend applying ANOVA to each participant separately and using a "counting" method to test for possible presentiment effects at the group level. Application of ANOVA is illustrated using a simulated example. We anticipate ANOVA can handle not only the gambler's fallacy bias but also similar biases, in presentiment experiments as well as in some conscious precognition experiments.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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