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What makes a test item effective, and how can we leverage data to create high-quality test items? In this webinar, we’ll explore how performance data can be strategically used to develop, evaluate, and refine assessment items. Participants will gain a practical understanding of item-level data indicators such as difficulty, discrimination, and distractor analysis, and how these metrics can guide continuous improvement in assessment design. Whether you are new to the assessment field or would just like a refresher, this session will equip you with actionable tools and insights to identify and improve underperforming test items, and apply best practices for writing and reviewing items based upon empirical evidence. At the end of the session, attendees should be better able to: -Recognize the role of data in supporting and enhancing item quality. -Define key metrics used to evaluate test item quality, including item difficulty, discrimination, and distractor effectiveness. -Interpret item performance data to identify strengths and weaknesses in individual assessment items. -Apply data-informed strategies to revise or eliminate low-performing items to improve overall test validity and reliability. -Implement a framework for continuous improvement of assessments using item-level performance analytics. Join us to elevate your assessment practices and create a model of continuous improvement in your item development activities by using meaningful, actionable data.