Literature DB >> 1495401

Information selection and use in hypothesis testing: what is a good question, and what is a good answer?

L M Slowiaczek1, J Klayman, S J Sherman, R B Skov.   

Abstract

The process of hypothesis testing entails both information selection (asking questions) and information use (drawing inferences from the answers to those questions). We demonstrate that although subjects may be sensitive to diagnosticity in choosing which questions to ask, they are insufficiently sensitive to the fact that different answers to the same question can have very different diagnosticities. This can lead subjects to overestimate or underestimate the information in the answers they receive. This phenomenon is demonstrated in two experiments using different kinds of inferences (category membership of individuals and composition of sampled populations). In combination with certain information-gathering tendencies, demonstrated in a third experiment, insensitivity to answer diagnosticity can contribute to a tendency toward preservation of the initial hypothesis. Results such as these illustrate the importance of viewing hypothesis-testing behavior as an interactive, multistage process that includes selecting questions, interpreting data, and drawing inferences.

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Mesh:

Year:  1992        PMID: 1495401     DOI: 10.3758/bf03210923

Source DB:  PubMed          Journal:  Mem Cognit        ISSN: 0090-502X


  1 in total

1.  Probability magnitudes and conservative revision of subjective probabilities.

Authors:  L R Beach
Journal:  J Exp Psychol       Date:  1968-05
  1 in total
  8 in total

1.  Increased sensitivity to differentially diagnostic answers using familiar materials: implications for confirmation bias.

Authors:  Craig R M McKenzie
Journal:  Mem Cognit       Date:  2006-04

2.  On people's understanding of the diagnostic implications of probabilistic data.

Authors:  M E Doherty; R Chadwick; H Garavan; D Barr; C R Mynatt
Journal:  Mem Cognit       Date:  1996-09

3.  The inverse fallacy: an account of deviations from Bayes's theorem and the additivity principle.

Authors:  Gaëlle Villejoubert; David R Mandel
Journal:  Mem Cognit       Date:  2002-03

4.  Missing the dog that failed to bark in the nighttime: on the overestimation of occurrences over non-occurrences in hypothesis testing.

Authors:  Paolo Cherubini; Patrice Rusconi; Selena Russo; Franca Crippa
Journal:  Psychol Res       Date:  2012-03-14

5.  Causal diversity effects in information seeking.

Authors:  Nancy S Kim; Jennelle E Yopchick; Leontien de Kwaadsteniet
Journal:  Psychon Bull Rev       Date:  2008-02

Review 6.  Asking the right questions about the psychology of human inquiry: Nine open challenges.

Authors:  Anna Coenen; Jonathan D Nelson; Todd M Gureckis
Journal:  Psychon Bull Rev       Date:  2019-10

7.  Experience matters: information acquisition optimizes probability gain.

Authors:  Jonathan D Nelson; Craig R M McKenzie; Garrison W Cottrell; Terrence J Sejnowski
Journal:  Psychol Sci       Date:  2010-06-04

8.  Decision-making in research tasks with sequential testing.

Authors:  Thomas Pfeiffer; David G Rand; Anna Dreber
Journal:  PLoS One       Date:  2009-02-25       Impact factor: 3.240

  8 in total

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