Evidence map›Paper›PMID 36292440›Full record

ReviewHealthcare (Basel, Switzerland)2022

Reliability Generalization Meta-Analysis of Internet Gaming Disorder Scale.

Júlia Gisbert-Pérez, Manuel Martí-Vilar, César Merino-Soto, Miguel Vallejos-Flores

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. 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.

Júlia Gisbert-PérezDepartamento de Psicología Básica, Facultad de Psicología y Logopedia, Universitat de València, 46010 Valencia, Spain.ORCID 0000-0002-1280-9312
Manuel Martí-VilarDepartamento de Psicología Básica, Facultad de Psicología y Logopedia, Universitat de València, 46010 Valencia, Spain.ORCID 0000-0002-3305-2996
César Merino-SotoInstituto de Investigación de Psicología, Universidad de San Martín de Porres, 15026 Lima, Peru.ORCID 0000-0002-1407-8306
Miguel Vallejos-FloresFacultad de Psicología, Universidad Nacional Federico Villareal, 15088 Lima, Peru.ORCID 0000-0002-6380-3412

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to carry out a reliability generalization meta-analysis of the Internet Gaming Disorder Scale (IGDS) to find out if it presents adequate values that justify its application in its four versions: original and abbreviated with dichotomous or ordinal response. A systematic review including 26 studies that apply this instrument from 2015 to June 2022 was conducted. For each version, a reliability generalization meta-analysis was performed with the random coefficients (RC) and varying coefficients (VC) model. Results showed reliability levels > 0.80 in the ordinal versions (IGDS9P and IGDS27P) and in the dichotomous 27-item version (IGDS27D), while the dichotomous 9-item version (IGDS9D) produced levels > 0.70. High heterogeneity was found in all versions (I2 > 95%; Rb > 90%). Cronbach’s α means with both models (RC-VC) did not differ significantly except for the IGDS9D version. It is concluded that, considering the dependence of the results on sample size, abbreviated versions do not guarantee that reliability remains acceptable, and dichotomous versions may provide limited but acceptable reliability. Finally, IGDS27P version is recommended in contexts where high precision is required.

Indexed as

IGDSinternet gaming disordermeta-analysisreliability

Identifiers

PMID36292440
PMCPMC9602491

What OpenQuestion holds

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LicenceCC BY
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.