IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i5p792-d762498.html
   My bibliography  Save this article

Design Plan for an Evolution Study of Related Characteristics of a Population

Author

Listed:
  • Juan M. Rodríguez-Díaz

    (Department of Statistics, Universidad de Salamanca, 37008 Salamanca, Spain)

  • Rosa E. Pruneda

    (Department of Mathematics, University of Castilla-La Mancha, 13071 Ciudad Real, Spain)

  • Mercedes Rodríguez-Hernández

    (Department of Didactic of Mathematics and Experimental Sciences, Universidad de Salamanca, 05003 Ávila, Spain)

Abstract

The objective is to study the evolution of different characteristics of a population through time. These response variables may be related for each experimental unit, and in addition, the observations for each response may as well be correlated with time, producing a complex correlation structure. The number of responses that can be observed is usually limited for budget, resources, or time reasons, and thus the selection of the most informative time points when data must be taken is quite convenient. This will be performed by using the optimal design of experiments techniques. Some analytical results will be shown, and the results will be applied to obtain the most convenient points when tests about two variables related with the capability of the resolution of mathematical problems in primary school students should be performed.

Suggested Citation

  • Juan M. Rodríguez-Díaz & Rosa E. Pruneda & Mercedes Rodríguez-Hernández, 2022. "Design Plan for an Evolution Study of Related Characteristics of a Population," Mathematics, MDPI, vol. 10(5), pages 1-13, March.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:5:p:792-:d:762498
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/5/792/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/10/5/792/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brian R. Flay & Linda M. Collins, 2005. "Historical Review of School-Based Randomized Trials for Evaluating Problem Behavior Prevention Programs," The ANNALS of the American Academy of Political and Social Science, , vol. 599(1), pages 115-146, May.
    2. Francis L. Huang, 2022. "Analyzing Cross-Sectionally Clustered Data Using Generalized Estimating Equations," Journal of Educational and Behavioral Statistics, , vol. 47(1), pages 101-125, February.
    Full references (including those not matched with items on IDEAS)

    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. Scoglio, Arielle A.J. & Nayak, Sameera S., 2023. "Alignment of state-level policies and public attitudes towards abortion legality and government restrictions on abortion in the United States," Social Science & Medicine, Elsevier, vol. 320(C).

    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:jmathe:v:10:y:2022:i:5:p:792-:d:762498. 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: 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.