Automated assessment using Natural Language Processing (NLP) has the potential to make English speaking assessments more reliable, authentic, and accessible. Yet without careful examination, NLP may exacerbate social prejudices based on gender or native language (L1). Current NLP-based assessments are prone to such biases, yet research and…

The study evaluated the comparability of two versions of a certification test: a paper-and-pencil test (PPT) and computer-based test (CBT). An effect size measure known as Cohen's d and differential item functioning (DIF) analyses were used as measures of comparability at the test and item levels, respectively. Results indicated that the effect…

Increased demands for colleges and universities to engage in outcomes assessment for accountability purposes have accelerated the need to bridge the gap between higher education practice and the fields of measurement, assessment, and evaluation. The "Handbook on Measurement, Assessment, and Evaluation in Higher Education" provides higher…

This report examines how selection fairness is influenced by the characteristics of a selection instrument in terms of its distribution of item difficulties, level of item discrimination, degree of item bias, and testing strategy. Computer simulation was used in the administration of either a conventional or Bayesian adaptive ability test to a…