Evidence map›Paper›PMID 28623608›Full record

ArticleJournal of gambling studies2018

Gambling and the Reasoned Action Model: Predicting Past Behavior, Intentions, and Future Behavior.

Ethan Dahl, Michael J Tagler, Zachary P Hohman

Abstract read
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In one paragraph

Article in Journal of gambling studies, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 10% of its field
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

9 citing papers in PubMed, 21 citations in OpenAlex.

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  4. How Social Media Algorithms Shape Offline Civic Participation: A Framework of Social-Psychological Processes.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024
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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 at 2 institutions in 1 country.

Ethan DahlDepartment of Psychological Sciences, Texas Tech University, MS 2051, Lubbock, TX, 79409, USA. ethan.dahl@ttu.edu.ORCID http://orcid.org/0000-0002-2798-7955
Michael J TaglerDepartment of Psychological Science, North Quad (NQ), Room 104, Ball State University, Muncie, IN, 47306, USA.
Zachary P HohmanDepartment of Psychological Sciences, Texas Tech University, MS 2051, Lubbock, TX, 79409, USA.
Texas Tech University · USBall State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gambling is a serious concern for society because it is highly addictive and is associated with a myriad of negative outcomes. The current study applied the Reasoned Action Model (RAM) to understand and predict gambling intentions and behavior. Although prior studies have taken a reasoned action approach to understand gambling, no prior study has fully applied the RAM or used the RAM to predict future gambling. Across two studies the RAM was used to predict intentions to gamble, past gambling behavior, and future gambling behavior. In study 1 the model significantly predicted intentions and past behavior in both a college student and Amazon Mechanical Turk sample. In study 2 the model predicted future gambling behavior, measured 2 weeks after initial measurement of the RAM constructs. This study stands as the first to show the utility of the RAM in predicting future gambling behavior. Across both studies, attitudes and perceived normative pressure were the strongest predictors of intentions to gamble. These findings provide increased understanding of gambling and inform the development of gambling interventions based on the RAM.

Indexed as

IntentionPsychological TheoryAdultAttitudeBehavior, AddictiveDisruptive, Impulse Control, and Conduct DisordersFemaleGamblingHumansImpulsive BehaviorMaleModels, PsychologicalPerceptionStudentsYoung AdultBehavioral intentionGamblingPerceived behavioral controlPredicting behaviorReasoned Action Model

Identifiers

PMID28623608
OpenAlexW2626641272

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.