228
Views
3
CrossRef citations to date
0
Altmetric
Research Articles

Installing a System of Performance Standards for National Assessments in the Republic of Trinidad and Tobago: Issues and Challenges

Pages 308-329 | Published online: 07 Aug 2015
 

Abstract

This article explores the challenge of setting performance standards in a non-Western context. The study is centered on standard-setting practice in the national learning assessments of Trinidad and Tobago. Quantitative and qualitative data from annual evaluations between 2005 and 2009 were compiled, analyzed, and deconstructed. In the mixed methods research design, data were integrated under an evaluation framework for validating performance standards. The quantitative data included panelists’ judgments across standard-setting rounds and methods. The qualitative data included both retrospective comments from open-ended surveys and real-time data from reflective diaries. Findings for procedural and internal validity were mixed, but the evidence for external validity suggested that the final outcomes were reasonable and defensible. Nevertheless, the real-time qualitative data from the reflective diaries highlighted several cognitive challenges experienced by panelists that may have impinged on procedural and internal validity. Additional unique hindrances were lack of resources and wide variation in achievement scores. Ensuring a sustainable system of performance standards requires attention to these deficits.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 400.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.