IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i19p12099-d924145.html
   My bibliography  Save this article

Evaluation of the Psychometric Properties of the Arab Compulsive Internet Use Scale (CIUS) by Item Response Theory Modeling (IRT)

Author

Listed:
  • Yasser Khazaal

    (Addiction Medicine, Department of Psychiatry, Lausanne University Hospital and Lausanne University, 1015 Lausanne, Switzerland
    Department of Psychiatry and Addictology, Montréal University, Montréal, QC H3T 1J4, Canada)

  • Fares Zine El Abiddine

    (Laboratory Psychological and Educational Research, Department of Psychology, University Djillali Liabes of Sidi Bel Abbes, Sidi Bel Abbes 22000, Algeria)

  • Louise Penzenstadler

    (Addiction Unit, Department of Psychiatry, Geneva University Hospitals, 1205 Geneva, Switzerland)

  • Djamal Berbiche

    (Charles-LeMoyne Hospital Research Centre, Sherbrooke University, Sherbrooke, QC J1K 2R1, Canada)

  • Ghada Bteich

    (Faculty of Public Health, Lebanon University, Tripoli P.O. Box 6573/14, Lebanon)

  • Saeideh Valizadeh-Haghi

    (Department of Medical Library and Information Sciences, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran)

  • Lucien Rochat

    (Addiction Unit, Department of Psychiatry, Geneva University Hospitals, 1205 Geneva, Switzerland)

  • Sophia Achab

    (Addiction Unit, Department of Psychiatry, Geneva University Hospitals, 1205 Geneva, Switzerland)

  • Riaz Khan

    (Department of Mental Health and Psychiatry, Frontier Medical College Affiliated to Bahria University Islamabad, Abbottabad 22010, Pakistan)

  • Anne Chatton

    (Department of Psychiatry, Geneva University Hospitals, 1205 Geneva, Switzerland)

Abstract

Introduction: The psychometric properties of the Arab translation of the Compulsive Internet Use Scale (CIUS) have been previously studied by confirmatory factor analysis (CFA) with AMOS software using the asymptotically distribution-free (ADF) estimator. Unidimensionality has been achieved at the cost of correlating several item variance errors. However, several reviews of SEM software packages and estimation methods indicate that the option of robust standard errors is not present in the AMOS package and that ADF estimation may yield biased parameter estimates. We therefore explored a second analysis through item response theory (IRT) using the parametric graded response model (GRM) and the marginal maximum likelihood (MML) estimation method embedded in the LTM package of R software. Differential item functioning (DIF) or item bias across subpopulations was also explored within IRT framework as different samples were investigated. The objective of the current study is to (1) analyze the Arab CIUS scale with IRT, (2) investigate DIF in three samples, and (3) contribute to the ongoing debate on Internet-use-related addictive behaviors using the CIUS items as a proxy. Methods: We assessed three samples of people, one in Algeria and two in Lebanon, with a total of 1520 participants. Results: Almost three out of every five items were highly related to the latent construct. However, the unidimensionality hypothesis was not supported. Furthermore, besides being locally dependent, the scale may be weakened by DIF across geographic regions. Some of the CIUS items related to increasing priority, impaired control, continued use despite harm, and functional impairment as well as withdrawal and coping showed good discriminative capabilities. Those items were endorsed more frequently than other CIUS items in people with higher levels of addictive Internet use. Conclusions: Contrary to earlier ADF estimation findings, unidimensionality of the CIUS scale was not supported by IRT parametric GRM in a large sample of Arab speaking participants. The results may be helpful for scale revision. By proxy, the study contributes to testing the validity of addiction criteria applied to Internet use related-addictive behaviors.

Suggested Citation

  • Yasser Khazaal & Fares Zine El Abiddine & Louise Penzenstadler & Djamal Berbiche & Ghada Bteich & Saeideh Valizadeh-Haghi & Lucien Rochat & Sophia Achab & Riaz Khan & Anne Chatton, 2022. "Evaluation of the Psychometric Properties of the Arab Compulsive Internet Use Scale (CIUS) by Item Response Theory Modeling (IRT)," IJERPH, MDPI, vol. 19(19), pages 1-18, September.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12099-:d:924145
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/19/12099/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/19/12099/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. van der Ark, L. Andries, 2007. "Mokken Scale Analysis in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 20(i11).
    2. Lozano-Blasco, Raquel & Latorre-Martínez, MªPilar & Cortés-Pascual, Alejandra, 2022. "Screen addicts: A meta-analysis of internet addiction in adolescence," Children and Youth Services Review, Elsevier, vol. 135(C).
    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. Fen Ren & Kexin Wang, 2022. "Modeling of the Chinese Dating App Use Motivation Scale According to Item Response Theory and Classical Test Theory," IJERPH, MDPI, vol. 19(21), pages 1-15, October.

    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. Hui Li & Wenwei Luo & Huihua He, 2022. "Association of Parental Screen Addiction with Young Children’s Screen Addiction: A Chain-Mediating Model," IJERPH, MDPI, vol. 19(19), pages 1-12, October.
    2. Rita Saleh & Angela Bearth & Michael Siegrist, 2019. "“Chemophobia” Today: Consumers’ Knowledge and Perceptions of Chemicals," Risk Analysis, John Wiley & Sons, vol. 39(12), pages 2668-2682, December.
    3. Lucy Kok & Caroline Berden & Klarita Sadiraj, 2015. "Costs and benefits of home care for the elderly versus residential care: a comparison using propensity scores," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 119-131, March.
    4. Kavici, Sümeyye & Ayaz-Alkaya, Sultan, 2024. "Internet addiction, social anxiety and body mass index in adolescents: A predictive correlational design," Children and Youth Services Review, Elsevier, vol. 160(C).
    5. repec:prg:jnlpep:v:preprint:id:721:p:1-22 is not listed on IDEAS
    6. repec:jss:jstsof:20:i01 is not listed on IDEAS
    7. Jesper Tijmstra & Maria Bolsinova, 2019. "Bayes Factors for Evaluating Latent Monotonicity in Polytomous Item Response Theory Models," Psychometrika, Springer;The Psychometric Society, vol. 84(3), pages 846-869, September.
    8. repec:jss:jstsof:37:i02 is not listed on IDEAS
    9. Jan-Hinrik Meyer-Sahling & Will Lowe & Christian van Stolk, 2016. "Silent professionalization: EU integration and the professional socialization of public officials in Central and Eastern Europe," European Union Politics, , vol. 17(1), pages 162-183, March.
    10. van der Ark, L. Andries, 2012. "New Developments in Mokken Scale Analysis in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i05).
    11. de Leeuw, Jan & Mair, Patrick, 2007. "An Introduction to the Special Volume on "Psychometrics in R"," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 20(i01).
    12. Bastiaan Bruinsma, 2020. "A comparison of measures to validate scales in voting advice applications," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(4), pages 1299-1316, August.
    13. Sara Maestre-Andrés & Stefan Drews & Ivan Savin & Jeroen Bergh, 2021. "Carbon tax acceptability with information provision and mixed revenue uses," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    14. Mazanec, Josef A. & Crotts, John C. & Gursoy, Dogan & Lu, Lu, 2015. "Homogeneity versus heterogeneity of cultural values: An item-response theoretical approach applying Hofstede's cultural dimensions in a single nation," Tourism Management, Elsevier, vol. 48(C), pages 299-304.
    15. Bára Elísabet Dagsdóttir & Hafrún Kristjánsdóttir & Vaka Vésteinsdóttir & Fanney Thorsdottir, 2023. "Task and Ego Orientation in Sport Questionnaire: A Mokken Scale Analysis," SAGE Open, , vol. 13(3), pages 21582440231, August.
    16. Isabella Sulis & Mariano Porcu & Vincenza Capursi, 2019. "On the Use of Student Evaluation of Teaching: A Longitudinal Analysis Combining Measurement Issues and Implications of the Exercise," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(3), pages 1305-1331, April.
    17. Dima, Alexandra L. & Stutterheim, Sarah E. & Lyimo, Ramsey & de Bruin, Marijn, 2014. "Advancing methodology in the study of HIV status disclosure: The importance of considering disclosure target and intent," Social Science & Medicine, Elsevier, vol. 108(C), pages 166-174.
    18. Mirko Antino & Jesús M. Alvarado & Rodrigo A. Asún & Paul Bliese, 2020. "Rethinking the Exploration of Dichotomous Data: Mokken Scale Analysis Versus Factorial Analysis," Sociological Methods & Research, , vol. 49(4), pages 839-867, November.
    19. Coromina, Lluís & Camprubí, Raquel, 2016. "Analysis of tourism information sources using a Mokken Scale perspective," Tourism Management, Elsevier, vol. 56(C), pages 75-84.
    20. Rudy Ligtvoet & L. Ark & Wicher Bergsma & Klaas Sijtsma, 2011. "Polytomous Latent Scales for the Investigation of the Ordering of Items," Psychometrika, Springer;The Psychometric Society, vol. 76(2), pages 200-216, April.
    21. J. Straat & L. Ark & Klaas Sijtsma, 2013. "Comparing Optimization Algorithms for Item Selection in Mokken Scale Analysis," Journal of Classification, Springer;The Classification Society, vol. 30(1), pages 75-99, April.
    22. Loredana Benedetto & Simone Rollo & Anna Cafeo & Gabriella Di Rosa & Rossella Pino & Antonella Gagliano & Eva Germanò & Massimo Ingrassia, 2024. "Emotional and Behavioural Factors Predisposing to Internet Addiction: The Smartphone Distraction among Italian High School Students," IJERPH, MDPI, vol. 21(4), pages 1-15, March.
    23. Benjamin Ambuehl & Jennifer Inauen, 2022. "Contextualized Measurement Scale Adaptation: A 4-Step Tutorial for Health Psychology Research," IJERPH, MDPI, vol. 19(19), pages 1-24, October.

    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:19:y:2022:i:19:p:12099-:d:924145. 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.