BIROn - Birkbeck Institutional Research Online

    A network analysis of the Internet Gaming Disorder Scale–Short-Form (IGDS9-SF): an intercontinental large-scale study

    Lecuona, O. and Lin, C.-Y. and Montag, C. and Pontes, Halley and Pakpour, A.H. (2024) A network analysis of the Internet Gaming Disorder Scale–Short-Form (IGDS9-SF): an intercontinental large-scale study. International Journal of Mental Health and Addiction , ISSN 1557-1874.

    [img]
    Preview
    Text
    s11469-024-01320-1.pdf - Published Version of Record
    Available under License Creative Commons Attribution.

    Download (1MB) | Preview

    Abstract

    The present study aimed to use a novel method (i.e., network analysis) to examine if the Internet Gaming Disorder Scale–Short-Form (IGDS9-SF) has its unidimensional structure supported across different subgroups, including gender groups, continent groups, and age groups. Participants from five continents (n = 545 in Africa; n = 27,910 in Americas; n = 4640 in Asia; n = 88,835 in Europe; and n = 1633 in Oceania) completed the IGDS9-SF. The IGDS9-SF items showed a positively correlated network with moderate-to-high predictability (mean of R2 = 0.338, SD = 0.068). Moreover, the network analysis results suggested that the IGDS9-SF is very likely to have a one-factor model. This one-factor model was further found to be invariant across gender groups (men vs. women), continent groups (Africa, Americas, Asian, Europe, and Oceania), and age groups (minor aged under 18 years, young adults aged between 18 and 30 years, and adults aged 30 years or above).

    Metadata

    Item Type: Article
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Psychological Sciences
    Depositing User: Halley Pontes
    Date Deposited: 15 May 2024 13:04
    Last Modified: 15 May 2024 15:53
    URI: https://eprints.bbk.ac.uk/id/eprint/53528

    Statistics

    Activity Overview
    6 month trend
    20Downloads
    6 month trend
    130Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item