Evidence map›Paper›PMID 36761711›Full record

ArticlePsychology in Russia : state of the art2022

The Development and Psychometric Characteristics of the "Virtual Identity of Social Media Users" Test.

Dmitry N Pogorelov, Elena A Rylskaya

Abstract read
In one paragraph

Article in Psychology in Russia : state of the art, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

2 authors.

Dmitry N PogorelovSouth Ural State University (National Research University), Chelyabinsk, Russia.
Elena A RylskayaSouth Ural State University (National Research University), Chelyabinsk, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Modern society is characterized by the widespread use of social media, which provides users with communication, leisure, work, and study opportunities. With the growth of such opportunities, more time is being spent online. These circumstances explain why we developed a test entitled the Virtual Identity of Social Media Users (VISCMU). Objective: To develop and test the psychometric characteristics of the VISMU test. Design: The research methods included theoretical analysis, modeling, expert assessments, questionnaires, and statistical analysis. The research sample was comprised of 285 users of VKontakte and other social media. Results: The results of factor analysis proved the acceptability of the three scales identified in the test. Expert assessments showed that the test had sufficient face and content validity. The scales were characterized by optimal indicators of internal consistency, homogeneity, and discriminatory power. The test-retest reliability values demonstrated that the test indicators were stable. Statistically significant differences in the parameter measuring virtual identity in groups with different levels of success in adult life justified a sufficient level of criterion validity. The correlation between the test scales and the components of the factor structure of the modified test "Who am I online?" indicated its compliance with construct validity norms. Positive connections between virtual identity and Internet addiction, smartphone addiction, aggressiveness, hostility, and negative relationships with vitality, indicated sufficient convergent validity. The test has been standardized and specified. Conclusion: The test was aimed at measuring the extent to which a person's virtual identity would reveal the specific characteristics of its impact on the individual's personal development.

Indexed as

psychometric characteristicssocial mediasocial media usersspecificationstandardizationtestVirtual identity

Identifiers

PMID36761711
PMCPMC9903234

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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.