The Influence of Alternative Outcomes on Gut-Level Perceptions of Certainty.

Recent research has demonstrated that the perceived certainty of a focal outcome depends not only on the overall amount of evidence supporting the alternatives to the focal outcome, but also on how that evidence is distributed across those alternatives (e.g., Windschitl & Wells, 1998). Three experiments replicated this alternative-outcomes effect across a variety of evidence distributions and investigated a heuristic comparison account for the effect. Participants provided gut-level certainty estimates for winning hypothetical raffles in which they and several other players held specified numbers of tickets. Results revealed that alternative-outcomes effects are not dependent on variations in the rank-order status of the focal outcome (Experiment 1) and are reliable but reduced in magnitude when the focal outcome is the least likely outcome (Experiment 2). Also, consistent with a core premise of the heuristic comparison account, evidence supporting the strongest alternative outcome was shown to play the primary role in producing alternative-outcomes effects (Experiment 3). Copyright 2001 Academic Press.

[1]  David M. Sanbonmatsu,et al.  The Subjective Beliefs Underlying Probability Overestimation , 1997 .

[2]  Elke U. Weber,et al.  The Interpretation of 'Likely' Depends on the Context, But 70% is 70% - Right? The Influence of Associative Processes on Perceived Certainty , 1999, Journal of experimental psychology. Learning, memory, and cognition.

[3]  D. Goldstein,et al.  Betting on one good reason : The Take the Best heuristic , 1999 .

[4]  K. Teigen When Equal Chances = Good Chances: Verbal Probabilities and the Equiprobability Effect. , 2001, Organizational behavior and human decision processes.

[5]  Reid Hastie,et al.  Tracing the footsteps of Sherlock Holmes: Cognitive representations of hypothesis testing , 1990, Memory & cognition.

[6]  B. Fischhoff,et al.  Fault trees: Sensitivity of estimated failure probabilities to problem representation. , 1978 .

[7]  A. Tversky,et al.  Unpacking, repacking, and anchoring: advances in support theory. , 1997 .

[8]  Bernt P. Stigum,et al.  Foundations of utility and risk theory with applications , 1983 .

[9]  Windschitl The Binary Additivity of Subjective Probability Does not Indicate the Binary Complementarity of Perceived Certainty. , 2000, Organizational behavior and human decision processes.

[10]  Peter Whalley,et al.  The Supra-Additivity of Subjective Probability , 1983 .

[11]  Cheryl Frenck-Mestre,et al.  Determinants of numerical versus verbal probabilities , 1993 .

[12]  A. Tversky,et al.  Support theory: A nonextensional representation of subjective probability. , 1994 .

[13]  S. Epstein,et al.  Conflict between intuitive and rational processing: when people behave against their better judgment. , 1994, Journal of personality and social psychology.

[14]  Karl Halvor Teigen,et al.  Studies in subjective probability III: The unimportance of alternatives , 1983 .

[15]  Karl Halvor Teigen,et al.  When are low-probability events judged to be ‘probable’? Effects of outcome-set characteristics on verbal probability estimates , 1988 .

[16]  S Epstein,et al.  Cognitive-experiential self-theory and subjective probability: further evidence for two conceptual systems. , 1992, Journal of personality and social psychology.

[17]  K. Teigen Subjective sampling distributions and the additivity of estimates , 1974 .

[18]  Reid Hastie,et al.  Revision of beliefs when a hypothesis is eliminated from consideration. , 1985 .

[19]  P. Lachenbruch Statistical Power Analysis for the Behavioral Sciences (2nd ed.) , 1989 .

[20]  Thurston Dart,et al.  The Interpretation of Music , 1955 .

[21]  Lori Robinson Van Wallendael The quest for limits on noncomplementarity in opinion revision , 1989 .

[22]  Jacob Cohen,et al.  Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .

[23]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[24]  P. Todd,et al.  Simple Heuristics That Make Us Smart , 1999 .