IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v11y2021i2p21582440211015683.html
   My bibliography  Save this article

The Effect of Mood on Predictive Sentence Processing by Older Adults

Author

Listed:
  • Xinmiao Liu

Abstract

This study examined the effect of mood on predictive sentence processing by older adults. A self-paced reading task was implemented among a group of younger adults and older adults to measure their performance in online sentence processing. Half of the sentences were highly predictable, whereas the other half were lowly predictable. Music was used to induce positive or negative mood. Results show that in the positive mood condition, highly predictable sentences were processed more efficiently than lowly predictable sentences in both older and younger adults, but no significant age difference was found in the effect of predictability. In the negative mood condition, younger adults processed highly predictable sentences more efficiently than lowly predictable sentences, but there was no significant difference in reading times between the different types of sentences in older adults. The findings suggest that predictive sentence processing might be inhibited by negative mood in older adults. Practical implications of the findings are discussed.

Suggested Citation

  • Xinmiao Liu, 2021. "The Effect of Mood on Predictive Sentence Processing by Older Adults," SAGE Open, , vol. 11(2), pages 21582440211, May.
    • Handle: RePEc:sae:sagope:v:11:y:2021:i:2:p:21582440211015683
    DOI: 10.1177/21582440211015683
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440211015683
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440211015683?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
    ---><---

    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:sae:sagope:v:11:y:2021:i:2:p:21582440211015683. 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: SAGE Publications (email available below). General contact details of provider: .

    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.