Search
On-Site Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
Search Tips
Change Preferences / Time Zone
Sign In
X (Twitter)
The purpose of this paper is to incorporate multiple methods recommended in the literature in a comprehensive, multi-stage process for separating bias from true group differences and identifying validity issues in large-scale higher education summative assessment outcomes. This process was implemented at an online competency-based higher education institute, focusing on gender, ethnicity, and income groups for 27 performance assessments that varied in modality and subject matter. Results support the utility of using structural validity analysis and human reviews in clarifying the nature of group differences detected using differential item functioning. Thus, the most appropriate intervention can be implemented (assessment modification versus additional learning aids) to close educational attainment gaps.