Districts will face challenges in achieving
high-quality attendance data...
The taxonomy presented in chapter 2 demonstrates how student attendance data can be categorized and standardized to improve data quality, interventions and policies, and nationwide comparability. Yet, several procedural and technological challenges still jeopardize the accuracy, utility, and comparability of attendance data. This chapter will explore these challenges and suggest practices for addressing them based on state and district experience.