IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0142385.html
   My bibliography  Save this article

Measurement Invariance of the WHODAS 2.0 in a Population-Based Sample of Youth

Author

Listed:
  • Melissa Kimber
  • Jürgen Rehm
  • Mark A Ferro

Abstract

The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) is a brief measure of global disability originally developed for adults, which has since been implemented among samples of children and youth. However, evidence of its validity for use among youth, particularly measurement invariance, is lacking. Investigations of measurement invariance assess the extent to which the psychometric properties of observed items in a measure are generalizable across samples. Satisfying the assumption of measurement invariance is critical for any inferences about between-group differences. The objective of this paper was to empirically assess the measurement invariance of the 12-item interview version of the WHODAS 2.0 measure in an epidemiological sample of youth (15 to 17 years) and adults (≥ 18 years) in Canada. Multiple-group confirmatory factor analysis using a categorical variable framework allowed for the sequential testing of increasingly restrictive models to evaluate measurement invariance of the WHODAS 2.0 between adults and youth. Findings provided evidence for full measurement invariance of the WHODAS 2.0 in youth aged 15 to 17 years. The final model fit the data well: χ2(159) = 769.04, p

Suggested Citation

  • Melissa Kimber & Jürgen Rehm & Mark A Ferro, 2015. "Measurement Invariance of the WHODAS 2.0 in a Population-Based Sample of Youth," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-13, November.
    • Handle: RePEc:plo:pone00:0142385
    DOI: 10.1371/journal.pone.0142385
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0142385
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0142385&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0142385?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Liping Hu & Yu‐Li Zang & Na Li, 2012. "The applicability of WHODAS 2.0 in adolescents in China," Journal of Clinical Nursing, John Wiley & Sons, vol. 21(17‐18), pages 2438-2451, September.
    2. Holger Steinmetz & Peter Schmidt & Andrea Tina-Booh & Siegrid Wieczorek & Shalom Schwartz, 2009. "Testing measurement invariance using multigroup CFA: differences between educational groups in human values measurement," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(4), pages 599-616, July.
    3. John Schmid & John Leiman, 1957. "The development of hierarchical factor solutions," Psychometrika, Springer;The Psychometric Society, vol. 22(1), pages 53-61, March.
    4. Gavin Andrews & Alice Kemp & Matthew Sunderland & Michael Von Korff & Tevik Bedirhan Ustun, 2009. "Normative Data for the 12 Item WHO Disability Assessment Schedule 2.0," PLOS ONE, Public Library of Science, vol. 4(12), pages 1-6, December.
    Full references (including those not matched with items on IDEAS)

    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. repec:plo:pone00:0080194 is not listed on IDEAS
    2. Kan, Kees-Jan & van der Maas, Han L.J. & Levine, Stephen Z., 2019. "Extending psychometric network analysis: Empirical evidence against g in favor of mutualism?," Intelligence, Elsevier, vol. 73(C), pages 52-62.
    3. P. Bentler, 1986. "Structural modeling and psychometrika: An historical perspective on growth and achievements," Psychometrika, Springer;The Psychometric Society, vol. 51(1), pages 35-51, March.
    4. John-Kåre Vederhus & Christine Timko & Bente Birkeland & Siri Håvås Haugland & Karin Berle Gabrielsen, 2024. "Validation of an ultra-short global quality of life scale in a large population-based health survey," PLOS ONE, Public Library of Science, vol. 19(8), pages 1-14, August.
    5. repec:plo:pone00:0239421 is not listed on IDEAS
    6. Yaël Drunen & Bram Spruyt & Filip Droogenbroeck, 2021. "The Salience of Perceived Societal Conflict in Europe: A 27 Country Study on the Development of a Measure for Generalized Conflict Thinking," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(2), pages 595-635, December.
    7. Kin Cheung & Tsz Leung Yip & C L Johnny Wan & Hilda Tsang & Lillian Weiwei Zhang & Anna Parpala, 2020. "Differences in study workload stress and its associated factors between transfer students and freshmen entrants in an Asian higher education context," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-23, May.
    8. Veljko Jovanović, 2019. "Evaluation of Domain Satisfaction Measure in Cross-National Perspective: Evidence from Austria and Four Countries of the Former Yugoslavia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(3), pages 1369-1385, February.
    9. Carlo Cavicchia & Maurizio Vichi & Giorgia Zaccaria, 2022. "Gaussian mixture model with an extended ultrametric covariance structure," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 16(2), pages 399-427, June.
    10. Bongiorno, Christian & Miccichè, Salvatore & Mantegna, Rosario N., 2022. "Statistically validated hierarchical clustering: Nested partitions in hierarchical trees," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    11. Petr Květon & Martin Jelínek & Iva Burešová, 2022. "Psychometric Properties of the Sport Multidimensional Perfectionism Scale-2 in Czech Adolescent Athletes: An Exploratory Approach," SAGE Open, , vol. 12(3), pages 21582440221, July.
    12. Carlo Cavicchia & Maurizio Vichi, 2021. "Statistical Model-Based Composite Indicators for Tracking Coherent Policy Conclusions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 449-479, August.
    13. Robert Jennrich & Peter Bentler, 2012. "Exploratory Bi-factor Analysis: The Oblique Case," Psychometrika, Springer;The Psychometric Society, vol. 77(3), pages 442-454, July.
    14. Reynolds, Matthew R. & Keith, Timothy Z., 2017. "Multi-group and hierarchical confirmatory factor analysis of the Wechsler Intelligence Scale for Children—Fifth Edition: What does it measure?," Intelligence, Elsevier, vol. 62(C), pages 31-47.
    15. Yee Xing You & Nurul Fatin Malek Rivan & Devinder Kaur Ajit Singh & Nor Fadilah Rajab & Arimi Fitri Mat Ludin & Normah Che Din & Ai-Vyrn Chin & Michael Fenech & Mohd Zul Amin Kamaruddin & Suzana Shaha, 2022. "Incidence and Predictors of Mortality among Community-Dwelling Older Adults in Malaysia: A 5 Years Longitudinal Study," IJERPH, MDPI, vol. 19(15), pages 1-16, July.
    16. Li Cai, 2015. "Lord–Wingersky Algorithm Version 2.0 for Hierarchical Item Factor Models with Applications in Test Scoring, Scale Alignment, and Model Fit Testing," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 535-559, June.
    17. Pelser, Jan & de Ruyter, Ko & Wetzels, Martin & Grewal, Dhruv & Cox, David & van Beuningen, Jacqueline, 2015. "B2B Channel Partner Programs: Disentangling Indebtedness from Gratitude," Journal of Retailing, Elsevier, vol. 91(4), pages 660-678.
    18. Nurul Fatin Malek Rivan & Suzana Shahar & Nor Fadilah Rajab & Devinder Kaur Ajit Singh & Normah Che Din & Hazlina Mahadzir & Noor Ibrahim Mohamed Sakian & Wan Syafira Ishak & Mohd Harimi Abd. Rahman &, 2020. "Incidence and Predictors of Cognitive Frailty Among Older Adults: A Community-based Longitudinal Study," IJERPH, MDPI, vol. 17(5), pages 1-17, February.
    19. Vicky Lehmann & Machteld A. Ouwens & Johan Braeken & Unna N. Danner & Annemarie A. van Elburg & Marrie H. J. Bekker & Annette Breurkens & Tatjana van Strien, 2013. "Psychometric Properties of the Dutch Version of the Eating Disorder Inventory–3," SAGE Open, , vol. 3(4), pages 21582440135, October.
    20. Carlo Cavicchia & Pasquale Sarnacchiaro & Maurizio Vichi & Giorgia Zaccaria, 2024. "A model-based ultrametric composite indicator for studying waste management in Italian municipalities," Computational Statistics, Springer, vol. 39(1), pages 21-50, February.
    21. Jiaming Fang & Chao Wen & Victor Prybutok, 2014. "An assessment of equivalence between Internet and paper-based surveys: evidence from collectivistic cultures," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 493-506, January.
    22. Virginia Fernández-Pérez & Ana Montes-Merino & Lázaro Rodríguez-Ariza & Patricia Esther Alonso Galicia, 2019. "Emotional competencies and cognitive antecedents in shaping student’s entrepreneurial intention: the moderating role of entrepreneurship education," International Entrepreneurship and Management Journal, Springer, vol. 15(1), pages 281-305, March.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0142385. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.