What are the most frequent data errors that slow down data input process?
• Missing or inconsistent student Ids • Missing or incomplete demographic data (ethnicity, ELL status left blank) • Duplicate records • Misspelled or inconsistent formats in student and teacher names (Mc and MC as different entries) • Inconsistent building names or locations (new schools or building consolidations not updated in student management system) • Alpha data in numeric only fields • Inconsistent date formats • Numeric data out of range • Student ID on test does not match student file • Program codes not consistent within district
