IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0165928.html
   My bibliography  Save this article

Relationship between Item Responses of Negative Affect Items and the Distribution of the Sum of the Item Scores in the General Population

Author

Listed:
  • Shinichiro Tomitaka
  • Yohei Kawasaki
  • Kazuki Ide
  • Maiko Akutagawa
  • Hiroshi Yamada
  • Toshiaki A Furukawa
  • Yutaka Ono

Abstract

Background: Several studies have shown that total depressive symptom scores in the general population approximate an exponential pattern, except for the lower end of the distribution. The Center for Epidemiologic Studies Depression Scale (CES-D) consists of 20 items, each of which may take on four scores: “rarely,” “some,” “occasionally,” and “most of the time.” Recently, we reported that the item responses for 16 negative affect items commonly exhibit exponential patterns, except for the level of “rarely,” leading us to hypothesize that the item responses at the level of “rarely” may be related to the non-exponential pattern typical of the lower end of the distribution. To verify this hypothesis, we investigated how the item responses contribute to the distribution of the sum of the item scores. Methods: Data collected from 21,040 subjects who had completed the CES-D questionnaire as part of a Japanese national survey were analyzed. To assess the item responses of negative affect items, we used a parameter r, which denotes the ratio of “rarely” to “some” in each item response. The distributions of the sum of negative affect items in various combinations were analyzed using log-normal scales and curve fitting. Results: The sum of the item scores approximated an exponential pattern regardless of the combination of items, whereas, at the lower end of the distributions, there was a clear divergence between the actual data and the predicted exponential pattern. At the lower end of the distributions, the sum of the item scores with high values of r exhibited higher scores compared to those predicted from the exponential pattern, whereas the sum of the item scores with low values of r exhibited lower scores compared to those predicted. Conclusions: The distributional pattern of the sum of the item scores could be predicted from the item responses of such items.

Suggested Citation

  • Shinichiro Tomitaka & Yohei Kawasaki & Kazuki Ide & Maiko Akutagawa & Hiroshi Yamada & Toshiaki A Furukawa & Yutaka Ono, 2016. "Relationship between Item Responses of Negative Affect Items and the Distribution of the Sum of the Item Scores in the General Population," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-16, November.
  • Handle: RePEc:plo:pone00:0165928
    DOI: 10.1371/journal.pone.0165928
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0165928
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0165928&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0165928?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
    ---><---

    References listed on IDEAS

    as
    1. Shinichiro Tomitaka & Yohei Kawasaki & Toshiaki Furukawa, 2015. "Right Tail of the Distribution of Depressive Symptoms Is Stable and Follows an Exponential Curve during Middle Adulthood," PLOS ONE, Public Library of Science, vol. 10(1), pages 1-8, January.
    2. Shinichiro Tomitaka & Yohei Kawasaki & Kazuki Ide & Hiroshi Yamada & Hirotsugu Miyake & Toshiaki A Furukaw, 2016. "Distribution of Total Depressive Symptoms Scores and Each Depressive Symptom Item in a Sample of Japanese Employees," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-10, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Shinichiro Tomitaka & Yohei Kawasaki & Kazuki Ide & Maiko Akutagawa & Yutaka Ono & Toshiaki A Furukawa, 2018. "Distribution of item responses and total item scores for the Center for Epidemiologic Studies Depression Scale (CES-D): Data from the Irish Longitudinal Study on Ageing (TILDA)," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-12, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Steven P. Reise & Han Du & Emily F. Wong & Anne S. Hubbard & Mark G. Haviland, 2021. "Matching IRT Models to Patient-Reported Outcomes Constructs: The Graded Response and Log-Logistic Models for Scaling Depression," Psychometrika, Springer;The Psychometric Society, vol. 86(3), pages 800-824, September.
    2. Shinichiro Tomitaka & Yohei Kawasaki & Kazuki Ide & Hiroshi Yamada & Hirotsugu Miyake & Toshiaki A Furukaw, 2016. "Distribution of Total Depressive Symptoms Scores and Each Depressive Symptom Item in a Sample of Japanese Employees," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-10, January.

    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:plo:pone00:0165928. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.