Evidence map›Paper›PMID 37274565›Full record

ArticleIndustrial psychiatry journal

Development and validation of an instrument for the assessment of internet use in the Indian context.

Thamilselvan Palanichamy, Manoj Kumar Sharma, Prabha S Chandra, Thennarasu Kandavel

Abstract read
In one paragraph

Article in Industrial psychiatry journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Thamilselvan PalanichamyDepartment of Psychology, PSG College of Arts and Science, Coimbatore, Tamil Nadu, India.
Manoj Kumar SharmaDepartment of Clinical Psychology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Prabha S ChandraDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Thennarasu KandavelDepartment of Bio-Statistics, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Internet usage is increasing in the young population. Over 560 million internet users, India is the second-largest online market globally, which necessitates the development of an Internet use assessment tool in the Indian context. Methods: Samples of 560 individuals aged from 16 to 40 years participated. Data were coded in excel sheet for STATA 14.0 analysis evolved to item response theory. Cronbach's alpha was used to determine the internal consistency; concurrent validity was performed using the "Internet Addiction Test." Descriptive statistics, analysis of variance, confirmatory factor analysis, and Pearson's correlation were also determined. Results: The developed instrument has the Cronbach's alpha reliability value (25 items) of 0.893, which indicates high internal consistency and has a concurrent value of 0.800. Factor analysis of 23 items revealed that the variance of 64.481 revealed all the items loaded in the rotated component matrix. The final 18 items got the item discrimination index was >1.0 with three-factor structure. Conclusion: The developed reliable and valid instrument can be used for identifying the patterns of internet usage across various settings (research, educational, mental health/clinical, and workplace).

Indexed as

Assessmentinternet usagereliabilityvalidity

Identifiers

PMID37274565
PMCPMC10236668

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LicenceCC BY-NC-SA
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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.