IDEAS home Printed from https://ideas.repec.org/a/ibn/ijpsjl/v9y2016i1p71.html
   My bibliography  Save this article

Accuracy of Measurement in the Classical and the Modern Test Theory: An Empirical Study on a Children Intelligence Test

Author

Listed:
  • Mohammed AL-khadher
  • Ismael Albursan

Abstract

The study aimed to compare the accuracy of assessing participants’ ability by the significance of standard error of the Classical Test Theory (CTT) and standard error of estimation of the Modern Test Theory (MTT) represented by the Two-Parameter Logistic Model (2PLM). It also aimed to compare item difficulty and arrangement in the two theories using Attriri’s Intelligence Scale for Children and a sample of 2674 students from the Republic of Yemen. Descriptive statistics (means and standard deviations), exploratory factor analysis and one-sample t-test were used for statistical treatment of data. Statistical treatment was performed by the IBM SPSS V. 20 and the Bilog-Mg3 programs. It was found that MTT represented by the 2PLM is more accurate than CTT in assessing participants’ abilities by standard error. Furthermore, the calibration of items by difficulty and the arrangement of participants’ abilities in the two theories proved to be different. Based on the study results, the researcher recommends (a) basing the development of psychological tests on the psychometric characteristics extracted according to MTT, (b) training professionals in measurement and evaluation in the use of analysis programs to extract item and ability parameters according to the different models of MTT (item response theory), and (c) making available the programs needed for the use of MTT in testing, e.g., Xcalibre and Rumm 2030 & Bilog-Mg3.

Suggested Citation

  • Mohammed AL-khadher & Ismael Albursan, 2016. "Accuracy of Measurement in the Classical and the Modern Test Theory: An Empirical Study on a Children Intelligence Test," International Journal of Psychological Studies, Canadian Center of Science and Education, vol. 9(1), pages 1-71, March.
  • Handle: RePEc:ibn:ijpsjl:v:9:y:2016:i:1:p:71
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/ijps/article/download/64707/35456
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/ijps/article/view/64707
    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:9:y:2016:i:1:p:71. 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.