Evidence map›Paper›PMID 31134398›Full record

ArticleJournal of gambling studies2019

Graphical Depiction of Statistical Information Improves Gambling-Related Judgments.

Alexander C Walker, Madison Stange, Mike J Dixon, Derek J Koehler, Jonathan A Fugelsang

Abstract read
In one paragraph

Article in Journal of gambling studies, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alexander C WalkerDepartment of Psychology, University of Waterloo, Waterloo, ON, N2L 3G1, Canada. a24walke@uwaterloo.ca.ORCID http://orcid.org/0000-0003-1431-6770
Madison StangeDepartment of Psychology, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.
Mike J DixonDepartment of Psychology, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.
Derek J KoehlerDepartment of Psychology, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.
Jonathan A FugelsangDepartment of Psychology, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The domain of gambling is rife with both diagnostic and non-diagnostic information. Previous studies examining scratch card gambling have demonstrated that people are often biased by intuitively appealing, yet non-diagnostic information (i.e., unclaimed prize information). The current study investigated how varying the presentation format of a diagnostic piece of information (i.e., payback percentage) could influence participants' use of this information when in conflict with unclaimed prize information. We hypothesized that when payback percentage information was presented in a graphical, as opposed to a numerical format, participants would be better at ignoring unclaimed prize information and correspondingly have their preferences become congruent with the true value of the presented scratch cards. In Experiment 1 (N = 201), with payback percentage presented in a numerical format, participants displayed a non-optimal preference for cards with greater numbers of unclaimed prizes and lower payback percentages. This preference was reversed in Experiment 2 (N = 201) when payback percentage was presented in a graphical format. In conclusion, the results of the current study demonstrate how judgments in a scratch card gambling domain can be improved by simply changing the presentation format of a single piece of information.

Indexed as

JudgmentReinforcement, PsychologyRewardBehavior, AddictiveBiasFemaleGamblingHumansMaleDebiasingGamblingScratch cardsUnclaimed prize informationVisual aids

Identifiers

PMID31134398
PMCPMC6679834

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.