IDEAS home Printed from https://ideas.repec.org/a/ibn/ijpsjl/v10y2018i2p91.html
   My bibliography  Save this article

Relational Language Improves Preschool Children’s Performance of Analogical Reasoning

Author

Listed:
  • Chenguang Du
  • Yasuo Miyazaki
  • Michael Cook
  • Joanna Papadopoulos
  • Yuan Hao

Abstract

The current study explored how relational language influenced the analogical reasoning among preschool children in China. Children (aged 4.5 and 5.5) in Experiment 1 were asked to complete a cross-mapped task where the object match competed with the relational match. The ANOVA results showed that the performance of both 4.5-year-olds and 4.5-year-olds were significantly improved after they heard Relational Language, F (1, 68) =44.821,p<0.05, η2=0.40. In Experiment 2, different distractors were added to the cross-mapped task and the 5.5-year-olds were replaced by 3.5 year-olds. The results demonstrated that the facilitating effect of Relational Language still existed among the youngest children and the performance of 4.5-year-olds was better than the 3.5-year-olds, F(1, 68)=6.76, p<0.05, η2=0.09. Furthermore, both age groups performed the worst under the distractor condition, indicating that the distractors made analogical reasoning more difficult, especially for the youngest children. Taken together, the current findings suggested that the facilitating effects of relational language in relational reasoning could also be observed in a broader sample.

Suggested Citation

  • Chenguang Du & Yasuo Miyazaki & Michael Cook & Joanna Papadopoulos & Yuan Hao, 2018. "Relational Language Improves Preschool Children’s Performance of Analogical Reasoning," International Journal of Psychological Studies, Canadian Center of Science and Education, vol. 10(2), pages 1-91, June.
  • Handle: RePEc:ibn:ijpsjl:v:10:y:2018:i:2:p:91
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/ijps/article/download/75261/41882
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/ijps/article/view/75261
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ijpsjl:v:10:y:2018:i:2:p:91. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.