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Proleader and antitrailer information distortion and their effects on choice and postchoice memory

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  • DeKay, Michael L.
  • Miller, Seth A.
  • Schley, Dan R.
  • Erford, Breann M.

Abstract

In four experiments involving choices between apartments, we decomposed predecisional information distortion into positive distortion of information about the tentatively leading alternative and negative distortion of information about the trailing alternative(s). Proleader and antitrailer distortion were roughly symmetric, with similar magnitudes in all but one test. Additionally, proleader and antitrailer distortion predicted choice with similar coefficients in all but one test. Distortion predicted choice when we used participants’ own “true” preferences as the baseline for assessing distortion and when we considered only identical information items that did not distinguish between apartments (“true” preferences cancel out for such items). Finally, predecisional distortion of apartments’ attributes predicted participants’ postdecision memories for those attributes, with positive and negative distortions predicting corresponding memory errors. This effect appears to reflect the predecisional encoding of information about the leading and trailing alternatives rather than a response bias or other postdecision process favoring the chosen alternative.

Suggested Citation

  • DeKay, Michael L. & Miller, Seth A. & Schley, Dan R. & Erford, Breann M., 2014. "Proleader and antitrailer information distortion and their effects on choice and postchoice memory," Organizational Behavior and Human Decision Processes, Elsevier, vol. 125(2), pages 134-150.
    • Handle: RePEc:eee:jobhdp:v:125:y:2014:i:2:p:134-150
    DOI: 10.1016/j.obhdp.2014.07.003
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    References listed on IDEAS

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    3. Olga Kostopoulou & Miroslav Sirota & Thomas Round & Shyamalee Samaranayaka & Brendan C. Delaney, 2017. "The Role of Physicians’ First Impressions in the Diagnosis of Possible Cancers without Alarm Symptoms," Medical Decision Making, , vol. 37(1), pages 9-16, January.

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