IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i19p7111-d420948.html
   My bibliography  Save this article

The Spanish Version of the Internet Gaming Disorder Scale-Short Form (IGDS9-SF): Further Examination Using Item Response Theory

Author

Listed:
  • Laura Maldonado-Murciano

    (Faculty of Psychology, University of Barcelona, Passeig de la Vall d’Hebron, 171, 08035 Barcelona, Spain
    Institute of Neurosciences, University of Barcelona, Passeig de la Vall d’Hebron, 171, 08035 Barcelona, Spain)

  • Halley M. Pontes

    (School of Psychological Sciences, University of Tasmania, Newnham Campus, Building O, Launceston, TAS 7250, Australia
    The International Cyberpsychology and Addictions Research Laboratory (iCARL), University of Tasmania, Launceston, TAS 7249, Australia)

  • Mark D. Griffiths

    (International Gaming Research Unit, Psychology Department, Nottingham Trent University, Nottingham NG1 4FQ, UK)

  • Maite Barrios

    (Faculty of Psychology, University of Barcelona, Passeig de la Vall d’Hebron, 171, 08035 Barcelona, Spain
    Institute of Neurosciences, University of Barcelona, Passeig de la Vall d’Hebron, 171, 08035 Barcelona, Spain)

  • Juana Gómez-Benito

    (Faculty of Psychology, University of Barcelona, Passeig de la Vall d’Hebron, 171, 08035 Barcelona, Spain
    Institute of Neurosciences, University of Barcelona, Passeig de la Vall d’Hebron, 171, 08035 Barcelona, Spain)

  • Georgina Guilera

    (Faculty of Psychology, University of Barcelona, Passeig de la Vall d’Hebron, 171, 08035 Barcelona, Spain
    Institute of Neurosciences, University of Barcelona, Passeig de la Vall d’Hebron, 171, 08035 Barcelona, Spain)

Abstract

Internet gaming disorder (IGD) has been recognized by the American Psychiatric Association (APA) as a tentative disorder in the latest (fifth) revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). However, psychometric evaluation of the nine IGD criteria remains necessary to further enhance its assessment. Therefore, the objective of this study was to evaluate the psychometric properties of the Spanish version of the Internet Gaming Disorder Scale-Short Form (IGDS9-SF). The internal structure, internal consistency, temporal stability, and relationships with other variables were assessed. Furthermore, a polytomous item response theory (IRT) approach was used to evaluate the performance of each item and the test as a whole. A sample of 388 online gamers (53.61% women, mean age 25.45 years, standard deviation (SD) = 9.62) was recruited for this study. Similar to previous research, the results supported a one-factor structure for the IGDS9-SF, adequate internal consistency and temporal stability of scores, goodness of fit of the items to the graded response model (GRM), and more precise scores at high trait levels to assess IGD in Spanish populations. These findings corroborate the suitability of the Spanish IGDS9-SF for clinical assessment and research within Spanish-speaking populations.

Suggested Citation

  • Laura Maldonado-Murciano & Halley M. Pontes & Mark D. Griffiths & Maite Barrios & Juana Gómez-Benito & Georgina Guilera, 2020. "The Spanish Version of the Internet Gaming Disorder Scale-Short Form (IGDS9-SF): Further Examination Using Item Response Theory," IJERPH, MDPI, vol. 17(19), pages 1-14, September.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:19:p:7111-:d:420948
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/19/7111/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/19/7111/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Geoff Masters, 1982. "A rasch model for partial credit scoring," Psychometrika, Springer;The Psychometric Society, vol. 47(2), pages 149-174, June.
    2. Chalmers, R. Philip, 2012. "mirt: A Multidimensional Item Response Theory Package for the R Environment," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i06).
    3. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yue-Cune Chang & Ruu-Fen Tzang, 2021. "Proposing and Validating the Diagnosis Scale for Internet Gaming Disorder in Taiwanese ADHD Adolescents: Likert Scale Method Based on the DSM-5," IJERPH, MDPI, vol. 18(4), pages 1-10, February.
    2. Gomaa Said Mohamed Abdelhamid & Marwa Gomaa Abdelghani Bassiouni & Juana Gómez-Benito, 2021. "Assessing Cognitive Abilities Using the WAIS-IV: An Item Response Theory Approach," IJERPH, MDPI, vol. 18(13), pages 1-15, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marius Leckelt & Eunike Wetzel & Tanja M. Gerlach & Robert A. Ackerman & Joshua D. Miller & William J. Chopik & Lars Penke & Katharina Geukes & Albrecht C. P. Küfner & Roos Hutteman & David Richter & , 2016. "Validation of the Narcissistic Admiration and Rivalry Questionnaire Short Scale (NARQ-S) in Convenience and Representative Samples," SOEPpapers on Multidisciplinary Panel Data Research 884, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. César Merino-Soto & Gina Chávez-Ventura & Verónica López-Fernández & Guillermo M. Chans & Filiberto Toledano-Toledano, 2022. "Learning Self-Regulation Questionnaire (SRQ-L): Psychometric and Measurement Invariance Evidence in Peruvian Undergraduate Students," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    3. Luo, Nanyu & Ji, Feng & Han, Yuting & He, Jinbo & Zhang, Xiaoya, 2024. "Fitting item response theory models using deep learning computational frameworks," OSF Preprints tjxab, Center for Open Science.
    4. Daniel L. Oberski, 2016. "A Review of Latent Variable Modeling With R," Journal of Educational and Behavioral Statistics, , vol. 41(2), pages 226-233, April.
    5. Jenna Hicks & Jessica Dewey & Yaniv Brandvain & Anita Schuchardt, 2020. "Development of the Biological Variation In Experimental Design And Analysis (BioVEDA) assessment," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-21, July.
    6. Hanne Søberg Finbråten & Peter Nowak & Robert Griebler & Éva Bíró & Mitja Vrdelja & Rana Charafeddine & Lennert Griese & Henrik Bøggild & Doris Schaeffer & Thomas Link & Zdenek Kucera & Julien Mancini, 2022. "The HLS 19 -COM-P, a New Instrument for Measuring Communicative Health Literacy in Interaction with Physicians: Development and Validation in Nine European Countries," IJERPH, MDPI, vol. 19(18), pages 1-23, September.
    7. Piotr Koc, 2021. "Measuring Non-electoral Political Participation: Bi-factor Model as a Tool to Extract Dimensions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(1), pages 271-287, July.
    8. Kai Liu & Longfei Zhang & Dongbo Tu & Yan Cai, 2022. "Developing an Item Bank of Computerized Adaptive Testing for Eating Disorders in Chinese University Students," SAGE Open, , vol. 12(4), pages 21582440221, December.
    9. Shenghai Dai & Dubravka Svetina & Xiaolin Wang, 2017. "Reporting Subscores Using R: A Software Review," Journal of Educational and Behavioral Statistics, , vol. 42(5), pages 617-638, October.
    10. Francisco José Eiroa-Orosa & Laura Limiñana-Bravo, 2019. "An Instrument to Measure Mental Health Professionals’ Beliefs and Attitudes towards Service Users’ Rights," IJERPH, MDPI, vol. 16(2), pages 1-16, January.
    11. Michal Ďuriník & Jakub Procházka & Hynek Cígler, 2018. "The Short Maximization Inventory," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(1), pages 123-136, January.
    12. Ting Wang & Carolin Strobl & Achim Zeileis & Edgar C. Merkle, 2018. "Score-Based Tests of Differential Item Functioning via Pairwise Maximum Likelihood Estimation," Psychometrika, Springer;The Psychometric Society, vol. 83(1), pages 132-155, March.
    13. Gerhard Tutz, 2022. "Item Response Thresholds Models: A General Class of Models for Varying Types of Items," Psychometrika, Springer;The Psychometric Society, vol. 87(4), pages 1238-1269, December.
    14. Daphna Harel & Russell J. Steele, 2018. "An Information Matrix Test for the Collapsing of Categories Under the Partial Credit Model," Journal of Educational and Behavioral Statistics, , vol. 43(6), pages 721-750, December.
    15. Benjamin D. Schalet & Sangdon Lim & David Cella & Seung W. Choi, 2021. "Linking Scores with Patient-Reported Health Outcome Instruments:A VALIDATION STUDY AND COMPARISON OF THREE LINKING METHODS," Psychometrika, Springer;The Psychometric Society, vol. 86(3), pages 717-746, September.
    16. Thiago Medeiros Cavalcanti & Gabriel Lins Holanda Coelho & Alessandro Teixeira Rezende & Katia Correa Vione & Valdiney Veloso Gouveia, 2019. "Decisional and Emotional Forgiveness Scales: Psychometric Validity and Correlates with Personality and Vengeance," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 14(5), pages 1247-1264, November.
    17. Rikkert M. van der Lans & Ridwan Maulana & Michelle Helms-Lorenz & Carmen-María Fernández-García & Seyeoung Chun & Thelma de Jager & Yulia Irnidayanti & Mercedes Inda-Caro & Okhwa Lee & Thys Coetze, 2021. "Student Perceptions of Teaching Quality in Five Countries: A Partial Credit Model Approach to Assess Measurement Invariance," SAGE Open, , vol. 11(3), pages 21582440211, August.
    18. Minjeong Jeon & Paul Boeck & Jevan Luo & Xiangrui Li & Zhong-Lin Lu, 2021. "Modeling Within-Item Dependencies in Parallel Data on Test Responses and Brain Activation," Psychometrika, Springer;The Psychometric Society, vol. 86(1), pages 239-271, March.
    19. repec:cup:judgdm:v:13:y:2018:i:1:p:123-136 is not listed on IDEAS
    20. Sara Fernandes & Guillaume Fond & Xavier Zendjidjian & Pierre Michel & Karine Baumstarck & Christophe Lançon & Ludovic Samalin & Pierre-Michel Llorca & Magali Coldefy & Pascal Auquier & Laurent Boyer , 2022. "Development and Calibration of the PREMIUM Item Bank for Measuring Respect and Dignity for Patients with Severe Mental Illness," Post-Print hal-03649277, HAL.
    21. Felix Zimmer & Clemens Draxler & Rudolf Debelak, 2023. "Power Analysis for the Wald, LR, Score, and Gradient Tests in a Marginal Maximum Likelihood Framework: Applications in IRT," Psychometrika, Springer;The Psychometric Society, vol. 88(4), pages 1249-1298, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:19:p:7111-:d:420948. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.