IDEAS home Printed from https://ideas.repec.org/a/gam/jscscx/v3y2014i1p84-114d33045.html
   My bibliography  Save this article

An Instrument to Investigate Expectations about and Experiences of the Parent-Child Relationship: The Parent-Child Relationship Schema Scale

Author

Listed:
  • Marcia Dixson

    (Department of Communication, Indiana University-Purdue University at Fort Wayne, 2101 E. Coliseum Boulevard, Fort Wayne, IN 46805, USA)

  • Emily Bermes

    (Department of Communication, Indiana University-Purdue University at Fort Wayne, 2101 E. Coliseum Boulevard, Fort Wayne, IN 46805, USA)

  • Suze Fair

    (Department of Communication, Indiana University-Purdue University at Fort Wayne, 2101 E. Coliseum Boulevard, Fort Wayne, IN 46805, USA)

Abstract

This paper explains the reasons for and process of creating and testing for reliability and constructing the validity of the Parent-Child Relationship Schema Scale (PCRSS). The instrument is based on the Model of Relationships Survey (MRS). However, where the MRS is an open-ended survey which takes 20–30 minutes to complete and longer to analyze, the PCRSS is a Likert scale survey which can be completed in less than half the time and offers more sophisticated analysis possibilities as well as new research opportunities. The paper explains the three-stage process used to create the PCRSS and the five tests of reliability and concurrent validity that it “passed”. We also discuss the potential for new areas of research about the parent-child relationship with the PCRSS.

Suggested Citation

  • Marcia Dixson & Emily Bermes & Suze Fair, 2014. "An Instrument to Investigate Expectations about and Experiences of the Parent-Child Relationship: The Parent-Child Relationship Schema Scale," Social Sciences, MDPI, vol. 3(1), pages 1-31, February.
    • Handle: RePEc:gam:jscscx:v:3:y:2014:i:1:p:84-114:d:33045
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2076-0760/3/1/84/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2076-0760/3/1/84/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chunkai Li & Qiaobing Wu & Zurong Liang, 2019. "Effect of Poverty on Mental Health of Children in Rural China: The Mediating Role of Social Capital," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 14(1), pages 131-153, March.
    2. Li, Chunkai & Zhang, Qiunv & Li, Na, 2018. "Does social capital benefit resilience for left-behind children? An evidence from Mainland China," Children and Youth Services Review, Elsevier, vol. 93(C), pages 255-262.

    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:gam:jscscx:v:3:y:2014:i:1:p:84-114:d:33045. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.