Comparative Analysis of Psychometric Frameworks and Properties of Scores from Autogenerated Test Forms
Year: 2024
Type: article
Abstract: This paper explores the psychometric properties of scores derived from autogenerated test forms by introducing three conceptual frameworks: Alternate Test Forms, Randomly Parallel Forms, and Approximately Parallel Forms. Each framework provides a distinct perspective on score comparability, definitions of true score and standard error of measurement (SEM), and the necessity of equating. Through a simulation study, we illustrate how these frameworks compare in terms of true scores and SEMs, while also assessing the impact of equating on score comparability across varying levels of form variability. Ultimately, this study seeks to lay the groundwork for implementing scoring practices in large‐scale standardized assessments that use autogenerated forms.
DOI: 10.1111/emip.12648
Authors: Won‐Chan Lee, Stella Y. Kim
Institutions: University of Iowa, University of North Carolina at Charlotte
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $3,090
OpenAlex ID: W4404251248