Academic Resources Academic Computing Research Technologies EAC Visual Data EAC Visual DataProvided by Academic Computing 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 FeaturesStatistical measures include: Cronbach alphaDistractor point biserial correlationKR(20)p-ValueAnalysis reports include: Summary statistics (exam)Item analysis (questions)Distractors (answer choices)Student dataReports can be exported to MS Excel and printed to PDFEase of use Getting StartedQuick Start GuideMust Read & Good to KnowUnderstanding EAC StatsGlossary & Suggestions Contact UsAcademic ComputingMonday - Friday, 8:00 AM - 5:00 PMEmail: edtech@utmb.edu