Evidence map›Paper›PMID 35874076›Full record

ArticleHeliyon2022

Factor structure and interpretation on the Thai-Social Media Engagement Scale (T-SMES).

Manika Wisessathorn, Nuchchamon Pramepluem, Sawian Kaewwongsa

Abstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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.

Manika WisessathornFaculty of Education, Ramkhamhaeng University, Thailand.
Nuchchamon PramepluemFaculty of Education, Ramkhamhaeng University, Thailand.
Sawian KaewwongsaFaculty of Economics, Ramkhamhaeng University, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the fact that social media has become an integral part of daily life, particularly in the new normal society, there are few instruments for measuring social media usage with a cut-off score. As a reason, the objective of this study was to develop a Thai-Social Media Engagement Scale (T-SMES) that has been verified for validity and reliability as well as a cut-off score for interpretation. Data was collected from 403 participants through an online questionnaire. The findings of exploratory factor analysis (EFA) revealed that the T-SMES was extracted into three components; accounted for 66.44% of the total variance, including (1) feeling at ease and not missing out, (2) making it a habit, and (3) a sense of being attracted to and connected to others. The test items were satisfactory in terms of validity and reliability. For identifying high social media engagement, a cut-off score of 24 was found to be optimal (sensitivity = 80.9%, specificity = 72.2%, positive predictive rate (PPR) = 92.3%, negative predictive rate (NPR) = 47.9%, and accuracy rate = 79.2%). Overall, the findings suggest that the T-SMES is an empirically valid and reliable instrument for measuring social media engagement, with optimal cut-off scores that can be used in practice.

Indexed as

Cut-off scoreFactor analysisSensitivitySocial media scaleSpecificity

Identifiers

PMID35874076
PMCPMC9305356

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.