Evidence map›Paper›PMID 31754974›Full record

ArticleJournal of gambling studies2020

Predicting Intention to Play Random and Skill-based Electronic Gambling Machines Using the Theory of Reasoned Action.

Sally M Gainsbury, Kahlil S Philander, Georgia Grattan

Abstract read
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Article in Journal of gambling studies, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

3 authors.

Sally M GainsburyScience Faculty, Brain and Mind Centre, School of Psychology, Gambling Treatment and Research Clinic, University of Sydney, 94 Mallet St, Camperdown, Sydney, NSW, 2050, Australia. sally.gainsbury@sydney.edu.au.ORCID http://orcid.org/0000-0002-9641-5838
Kahlil S PhilanderScience Faculty, Brain and Mind Centre, School of Psychology, Gambling Treatment and Research Clinic, University of Sydney, 94 Mallet St, Camperdown, Sydney, NSW, 2050, Australia.ORCID http://orcid.org/0000-0002-0747-0772
Georgia GrattanScience Faculty, Brain and Mind Centre, School of Psychology, Gambling Treatment and Research Clinic, University of Sydney, 94 Mallet St, Camperdown, Sydney, NSW, 2050, Australia.

Funding

Australian Research Council DE1060100459
6 · The paper itself

Abstract

Hybrid gambling machines (HGMs) are a new gambling activity that combine the skill element of traditional video games with the random pay-out schedule of electronic gaming machines (e.g., slots). Developed to increase gambling by younger generations that favor video games, there is currently no empirical evidence regarding consumer views of HGMs to guide policy-decision making related to this new gambling activity. We use the theory of reasoned action (TRA) to investigate factors that motivate intentions to play these machines in two studies: (1) among 43 casino patrons and (2) among 184 US online participants residing in states where HGMs were available. Both samples completed surveys after exposure to actual or explanations of HGMs and slots. Analyses supported the prediction that positive attitudes towards HGMs and positively perceived subjective norms would predict intention to play HGMs and slots. The results suggest that the TRA is a useful framework for explaining intentions to gamble on traditional slot machines and new HGMs. The absence of research on HGMs makes these studies an important and necessary contribution to the empirical literature on machine gambling. Understanding individuals' intentions to engage with HGMs is important to guide development of harm-minimisation practices and evaluate impact of policy changes.

Indexed as

IntentionVideo GamesAdultAgedAttitudeElectronicsFemaleGamblingHarm ReductionHumansMaleMiddle AgedMotivationPsychological TheorySurveys and QuestionnairesElectronic gaming machinesGambling attitudesGambling intentionSkillSkill-based gaming machinesTheory of reasoned action

Identifiers

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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.