Literature DB >> 18229488

Intuitive t tests: lay use of statistical information.

Natalie A Obrecht1, Gretchen B Chapman, Rochel Gelman.   

Abstract

Normatively, a statistical pairwise comparison is a function of the mean, standard deviation (SD), and sample size of the data. In our experiment, 203 undergraduates compared product pairs and judged their confidence thatone product was better than the other. We experimentally manipulated (within subjects) theaverage productratings, the number of raters (sample size), and the SD of the ratings. Each factor had two levels selected, so that the same change in statistical power resulted from moving from the low to the high level. We also manipulated (between subjects) whether subjects were given only the product rating data as summarized in a statistical format orthe summariesplus the raw ratings. Subjects gave the most weight to mean product ratings, less weight to sample size, and very little weight to SD. Providing subjects with raw data did not increase their use of sample size and SD, as predicted.

Mesh:

Year:  2007        PMID: 18229488     DOI: 10.3758/bf03193104

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  8 in total

1.  Medicine. Communicating statistical information.

Authors:  U Hoffrage; S Lindsey; R Hertwig; G Gigerenzer
Journal:  Science       Date:  2000-12-22       Impact factor: 47.728

2.  Teaching Bayesian reasoning in less than two hours.

Authors:  P Sedlmeier; G Gigerenzer
Journal:  J Exp Psychol Gen       Date:  2001-09

3.  Simple tools for understanding risks: from innumeracy to insight.

Authors:  Gerd Gigerenzer; Adrian Edwards
Journal:  BMJ       Date:  2003-09-27

4.  Decisions from experience and the effect of rare events in risky choice.

Authors:  Ralph Hertwig; Greg Barron; Elke U Weber; Ido Erev
Journal:  Psychol Sci       Date:  2004-08

5.  Likelihood ratios: a simple and flexible statistic for empirical psychologists.

Authors:  Scott Glover; Peter Dixon
Journal:  Psychon Bull Rev       Date:  2004-10

6.  Judgment under Uncertainty: Heuristics and Biases.

Authors:  A Tversky; D Kahneman
Journal:  Science       Date:  1974-09-27       Impact factor: 47.728

7.  Using natural frequencies to improve diagnostic inferences.

Authors:  U Hoffrage; G Gigerenzer
Journal:  Acad Med       Date:  1998-05       Impact factor: 6.893

8.  The format in which uncertainty information is presented affects decision biases.

Authors:  Daniel A Gottlieb; Talia Weiss; Gretchen B Chapman
Journal:  Psychol Sci       Date:  2007-03
  8 in total
  5 in total

1.  An encounter frequency account of how experience affects likelihood estimation.

Authors:  Natalie A Obrecht; Gretchen B Chapman; Rochel Gelman
Journal:  Mem Cognit       Date:  2009-07

2.  Statistical judgments are influenced by the implied likelihood that samples represent the same population.

Authors:  Dana L Chesney; Natalie A Obrecht
Journal:  Mem Cognit       Date:  2012-04

3.  Inferring an unobservable population size from observable samples.

Authors:  Jack Cao; Mahzarin R Banaji
Journal:  Mem Cognit       Date:  2020-04

4.  Investigating the development of data evaluation: the role of data characteristics.

Authors:  Amy M Masnick; Bradley J Morris
Journal:  Child Dev       Date:  2008 Jul-Aug

5.  Two Different Views on the World Around Us: The World of Uniformity versus Diversity.

Authors:  JaeHwan Kwon; Dhananjay Nayakankuppam
Journal:  PLoS One       Date:  2016-12-15       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.