AUTHOR=Badham Louise , Meadows Michelle , Baird Jo-Anne 

TITLE=Construct comparability and the limits of post hoc modeling: insights from International Baccalaureate multi-language assessments

JOURNAL=Frontiers in Education

VOLUME=Volume 10 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/education/articles/10.3389/feduc.2025.1616879

DOI=10.3389/feduc.2025.1616879

ISSN=2504-284X

ABSTRACT=Construct comparability was investigated across different subjects in the International Baccalaureate (IB) Diploma Programme (DP). A Rasch Partial Credit Model (PCM) was applied to historical assessment data to generate statistical measures of the relative “difficulty” of IB subjects and languages. Specifically, analysis centered on different language versions of literature assessments, where exams differ in content, but are designed to assess the same target constructs. Rasch analyses were conducted sequentially in three subsets of data. Three different conceptualizations of the linking construct were compared, with the aim of narrowing the definition to increase the validity of the comparisons. These ranged from different DP subjects being linked by “general academic ability,” to linking English, Spanish and Chinese language versions of literature with the more relevant construct of “literary analysis.” Ultimately, the Rasch analyses produced three different rank orders of “difficulty” for the assessments, illustrating the limitations of post hoc construct comparability investigations. Whilst literary analysis is the most theoretically defensible linking construct in this context, the approach relies on bilingual students taking different language versions of the assessments and therefore has limited operational applicability. There are also conceptual limitations, as bilingual examinees are not representative of all students in DP cohorts. Further research is recommended into how cohort characteristics can impact performance, as well as how constructs are defined for use across linguistic and cultural subgroups. Such investigations are crucial to avoid construct bias being introduced in the earliest stages of assessment design.