IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v40y2021i13p1417-1427.html
   My bibliography  Save this article

Assessing presence in virtual environments: adaptation of the psychometric properties of the Presence Questionnaire to the Portuguese populations

Author

Listed:
  • J. Vasconcelos-Raposo
  • M. Melo
  • Luís Barbosa
  • C. Teixeira
  • L. Cabral
  • M. Bessa

Abstract

Virtual Reality applications have the goal of transporting their users to a given virtual environment (VE). Thus, Presence is a consensual metric for evaluating the VEs' effectiveness. The present study adapts the Presence Questionnaire (PQ) for the Portuguese-speaking population, maintaining the validity of the contents and concepts, to ascertain the psychometric properties of the instrument.The adaptation to Portuguese was achieved through the standard adaptation process of translation and back-translation process. The sample consisted of 451 individuals (268 males and 183 females). Factor reliability ranged from 0.63 to 0.86. Confirmatory factor analysis produced a theoretical model of 21 items distributed among seven factors, where the covariance between some residual item errors was established. The fit indices obtained were $\chi ^2/df = 2.077$χ2/df=2.077, GFI $= 0.936$=0.936, CFI $= 0.937$=0.937, RMSEA $= 0.049$=0.049, P [RMSEA $\leq 0.05$≤0.05], MECVI $= 1.070$=1.070. Results obtained allowed us to consider that the adapted Portuguese version of the PQ, with 21 items, forms a robust and valid questionnaire whose use is recommended to evaluate Presence in virtual reality research programmes, provided that they use samples of the Portuguese language (Europe).

Suggested Citation

  • J. Vasconcelos-Raposo & M. Melo & Luís Barbosa & C. Teixeira & L. Cabral & M. Bessa, 2021. "Assessing presence in virtual environments: adaptation of the psychometric properties of the Presence Questionnaire to the Portuguese populations," Behaviour and Information Technology, Taylor & Francis Journals, vol. 40(13), pages 1417-1427, October.
  • Handle: RePEc:taf:tbitxx:v:40:y:2021:i:13:p:1417-1427
    DOI: 10.1080/0144929X.2020.1754911
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2020.1754911
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2020.1754911?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:tbitxx:v:40:y:2021:i:13:p:1417-1427. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .

    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.