Test of Achievement in Quantitative Economics for Secondary Schools: Construction and Validation Using Item Response Theory

Lydia I. Eleje and Nkechi P.M. Esomonu

Asian Journal of Education and Training, 2018, vol. 4, issue 1, 18-28

Abstract: A Test to measure achievement in quantitative economics among secondary school students was developed and validated in this study. The test is made up 20 multiple choice test items constructed based on quantitative economics sub-skills. Six research questions guided the study. Preliminary validation was done by two experienced teachers in secondary school economics and one expert in test construction. The pilot testing was conducted to ensure compatibility of the test items while test try-out on 515 students yielded the data for item analysis. Analysis were attained through SPSS and Bilog MG using Item Response Theory (IRT) three-parameter logistic model (3PL) to establish item difficulty, item discrimination, and the guessing value. The empirical reliability of the test was 0.86. The test was found to be of good quality, valid and highly reliable. The test is ready and can now be used to assess students’ achievement in quantitative economics in Nigeria and other countries.

Keywords: Achievement test; Quantitative economics; IRT (Item Response Theory); Uni-dimensionality; Reliability. (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://asianonlinejournals.com/index.php/EDU/article/view/310/308 (application/pdf)
http://asianonlinejournals.com/index.php/EDU/article/view/310/970 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aoj:asjoet:v:4:y:2018:i:1:p:18-28:id:310

Access Statistics for this article

More articles in Asian Journal of Education and Training from Asian Online Journal Publishing Group
Bibliographic data for series maintained by Sara Lim ().