EAC Visual Data EAC Visual Data (EAC) enhances Blackboard Assessment statistics and analysis. EAC can be used to review test and item reliability statistics. This information can aid in improving quality of tests and test questions. Key Features Statistical measures include: Cronbach alpha Distractor point biserial correlation KR(20) p-Value Analysis reports include: Summary statistics (exam) Item analysis (questions) Distractors (answer choices) Student data Reports can be exported to MS Excel and printed to PDF Ease of use Getting Started Quick Start Guide Must Read & Good to Know Understanding EAC Stats Glossary & Suggestions Quick LinkseClass HomeEducational TechnologiesStudent ResourcesInstructor ResourcesTroubleshoot Issues Blackboard ResourcesRetention PoliciesBrowsers/Plug-insETA Group Need Help?UTMB Information Services (24/7 Service)Password & Account IssuesP: 409-772-5200 E: ishelp@utmb.eduUTMB Academic ComputingSupport, Training, New Course RequestsO: Monday - Friday8:00 am - 5:00 pmE: edtech@utmb.edu