Evidence map›Paper›PMID 29950103›Full record

ArticleJournal of behavioral addictions2018

Positive outcome expectancy mediates the relationship between social influence and Internet addiction among senior high-school students.

Min-Pei Lin, Jo Yung-Wei Wu, Chao-Jui Chen, Jianing You

Open access · goldAbstract read
In one paragraph

Article in Journal of behavioral addictions, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
8.3field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 30 citations in OpenAlex.

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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

4 authors at 3 institutions in 2 countries.

Min-Pei Lin1 Department of Educational Psychology and Counseling, National Taiwan Normal University , Taipei City, Taiwan.
Jo Yung-Wei Wu2 Department of Counseling and Guidance, National University of Tainan , Tainan, Taiwan.
Chao-Jui Chen1 Department of Educational Psychology and Counseling, National Taiwan Normal University , Taipei City, Taiwan.
Jianing You3 Center for Studies of Psychological Application & School of Psychology, South China Normal University , Guangzhou, China.
National Taiwan Normal University · TWNational University of Tainan · TWSouth China Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims Based on the foundations of Bandura's social cognitive theory and theory of triadic influence (TTI) theoretical framework, this study was designed to examine the mediating role of positive outcome expectancy of Internet use in the relationship between social influence and Internet addiction (IA) in a large representative sample of senior high-school students in Taiwan. Methods Using a cross-sectional design, 1,922 participants were recruited from senior high schools throughout Taiwan using both stratified and cluster sampling, and a comprehensive survey was administered. Results Structural equation modeling and bootstrap analyses results showed that IA severity was significantly and positively predicted by social influence, and fully mediated through positive outcome expectancy of Internet use. Discussion and conclusions The results not only support Bandura's social cognitive theory and TTI framework, but can also serve as a reference to help educational agencies and mental health organizations design programs and create policies that will help in the prevention of IA among adolescents.

Indexed as

Internet addictionpositive outcome expectancy of Internet usesocial cognitive theorysocial influencetheory of triadic influence

Identifiers

PMID29950103
PMCPMC6174586
OpenAlexW2810246129

What OpenQuestion holds

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LicenceCC BY-NC
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.