IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v107y2019ics0190740919306747.html
   My bibliography  Save this article

Identifying psychological resilience in Chinese migrant youth through multidisciplinary language pattern decoding

Author

Listed:
  • Li, Sijia
  • Lu, Shuang
  • Ni, Shiguang
  • Peng, Kaiping

Abstract

China's four decades of rural-to-urban labor migration has created 36 million migrant youth, who encounter more adversity than their urban peers due to educational and socioeconomic exclusion. This study focuses on the psychological resilience of these migrant youth since it indicates the ability or success to cope with adversity. We examine psychological resilience indicators based on migrant youth language patterns extracted in a multidisciplinary way. Our research questions are: whether Chinese migrant youths' language patterns indicate their resilience-related characteristics, and how effectively can three language analysis approaches (user-defined dictionary, feature extraction, and word co-occurrence) identify these indicators, which may be further applied as machine learning features for psychological resilience level estimation. Students in a middle school for migrant youth in Shenzhen, China were recruited as initial participants, and their resilience levels were rated by the Chinese version of Connor-Davidson Resilience Scale. These youth then wrote one week of diary entries. The high- (n = 37) and low-resilience (n = 45) participants' writings were analyzed through the three language analysis approaches. The results suggest that Chinese migrant youth in this study present distinctive language patterns that closely relate to resilience indicators (positive emotion, self-efficacy, self-esteem, and positive affect), which can be further employed in differentiating resilience level (high vs. low) as machine learning features with satisfactory prediction accuracy. Our findings suggest a new interdisciplinary approach for effective psychological resilience identification among migrant youth in China and other high-risk youth populations.

Suggested Citation

  • Li, Sijia & Lu, Shuang & Ni, Shiguang & Peng, Kaiping, 2019. "Identifying psychological resilience in Chinese migrant youth through multidisciplinary language pattern decoding," Children and Youth Services Review, Elsevier, vol. 107(C).
  • Handle: RePEc:eee:cysrev:v:107:y:2019:i:c:s0190740919306747
    DOI: 10.1016/j.childyouth.2019.104506
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190740919306747
    Download Restriction: Full text for ScienceDirect subscribers only

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

    References listed on IDEAS

    as
    1. Metzler, Marilyn & Merrick, Melissa T. & Klevens, Joanne & Ports, Katie A. & Ford, Derek C., 2017. "Adverse childhood experiences and life opportunities: Shifting the narrative," Children and Youth Services Review, Elsevier, vol. 72(C), pages 141-149.
    2. Mu, Guanglun Michael & Hu, Yang, 2016. "Validation of the Chinese Version of the 12-Item Child and Youth Resilience Measure," Children and Youth Services Review, Elsevier, vol. 70(C), pages 332-339.
    3. Zolkoski, Staci M. & Bullock, Lyndal M., 2012. "Resilience in children and youth: A review," Children and Youth Services Review, Elsevier, vol. 34(12), pages 2295-2303.
    4. Joseph M. Boden & Jackie Sanders & Robyn Munford & Linda Liebenberg, 2018. "The Same But Different? Applicability of a General Resilience Model to Understand a Population of Vulnerable Youth," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(1), pages 79-96, February.
    5. Kidd, Sean A. & Miner, Susan & Walker, Diana & Davidson, Larry, 2007. "Stories of working with homeless youth: On being "mind-boggling"," Children and Youth Services Review, Elsevier, vol. 29(1), pages 16-34, January.
    Full references (including those not matched with items on IDEAS)

    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:eee:cysrev:v:107:y:2019:i:c:s0190740919306747. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Haili He). General contact details of provider: http://www.elsevier.com/locate/childyouth .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.