Evidence map›Paper›PMID 36947534›Full record

ArticlePloS one2023

Short version of the smartphone addiction scale: Measurement invariance across gender.

Heng Yue, Xiwen Yue, Bo Liu, Xueshan Li, Yaohua Dong, Hugejiletu Bao

Open access · goldFull text read
In one paragraph

Article in PloS one, 2023. 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
13.3field-weighted citation impact, top 1% 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, 23 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

6 authors at 1 institution in 1 country.

Heng YueSchool of Psychology, Inner Mongolia Normal University, Hohhot, China.
Xiwen YueBeidou College, Wuhan Qingchuan University, Wuhan, China.
Bo LiuSchool of Psychology, Inner Mongolia Normal University, Hohhot, China.
Xueshan LiSchool of Psychology, Inner Mongolia Normal University, Hohhot, China.
Yaohua DongSchool of Psychology, Inner Mongolia Normal University, Hohhot, China.
Hugejiletu BaoCollege of Physical Education, Inner Mongolia Normal University, Hohhot, China.ORCID 0000-0003-0119-9931
Inner Mongolia Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Smartphone Addiction Scale Short Version (SAS-SV) has been widely used in research, but little is known about the measurement invariance across gender. The current study measured SAS-SV invariance between male and female college students in a sample of 1112 participants. Single- and multiple-group confirmatory factor analyses (CFAs) of smartphone addiction symptom ratings were conducted using R program with RStudio. SAS-SV was psychometrically robust in measuring the severity of smartphone addiction among college students, as well as the gender-based invariance. The differences in SAS-SV between male and female participants were likely to represent true gender differences, and meaningful comparisons could be made.

Indexed as

Behavior, AddictiveInternet Addiction DisorderFemaleHumansMaleSmartphoneStudentsSurveys and Questionnaires

Identifiers

PMID36947534
PMCPMC10032492
OpenAlexW4353015320

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read1
identifiers read4
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.