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Integration of base rates and new information in an abstract hypothesis‐testing task

Overview of attention for article published in British Journal of Psychology, May 2012
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Article details
Title
Integration of base rates and new information in an abstract hypothesis‐testing task
Published in
British Journal of Psychology, May 2012
DOI 10.1111/j.2044-8295.2012.02112.x
Pubmed ID
Authors
Abstract

In two studies, we investigated how people use base rates and the presence versus the absence of new information to judge which of two hypotheses is more likely. Participants were given problems based on two decks of cards printed with 0-4 letters. A table showed the relative frequencies of the letters on the cards within each deck. Participants were told the letters that were printed on or absent from a card the experimenter had drawn. Base rates were conveyed by telling participants that the experimenter had chosen the deck by drawing from an urn containing, in different proportions, tickets marked either 'deck 1' or 'deck 2'. The task was to judge from which of the two decks the card was most likely drawn. Prior probabilities and the evidential strength of the subset of present clues (computed as 'weight of evidence') were the only significant predictors of participants' dichotomous (both studies) and continuous (Study 2) judgments. The evidential strength of all clues was not a significant predictor of participants' judgments in either study, and no significant interactions emerged. We discuss the results as evidence for additive integration of base rates and the new present information in hypothesis testing.

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X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 6%
Italy 1 6%
United Kingdom 1 6%
Unknown 13 81%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Student > Master 2 13%
Researcher 2 13%
Lecturer > Senior Lecturer 1 6%
Other 1 6%
Other 3 19%
Unknown 3 19%
Readers by discipline
Readers by discipline Count As %
Psychology 8 50%
Social Sciences 2 13%
Business, Management and Accounting 1 6%
Computer Science 1 6%
Immunology and Microbiology 1 6%
Other 0 0%
Unknown 3 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 May 2012.
All research outputs
#19,944,091
of 25,373,627 outputs
Outputs from British Journal of Psychology
#939
of 1,052 outputs
Outputs of similar age
#133,412
of 176,330 outputs
Outputs of similar age from British Journal of Psychology
#11
of 14 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,052 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.4. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.