This guide for improving the quality of National Reporting System for Adult Education (NRS) data through improved data collection and training is intended for local providers and state administrators. Chapter 1 explains the guide's purpose, contents, and use and defines the following components of data quality: objectivity; integrity; transparency; reproducibility; and utility. Chapter 2 discusses why good data matter, the relationship between quality data and program improvement, and data quality and use at the federal level. Chapter 3 analyzes the local program data process as a system. It offers a model data collection process, reviews the key components of the model, and presents the main processes required to put a quality data collection system into place and keep it operating effectively. Chapter 4 reviews the procedures for collecting each of the core NRS outcome measures, explains survey and data-matching procedures, reviews intake and goal-setting procedures, and discusses procedures for training local program staff to collect NRS measures. Chapter 5 reviews state responsibilities in the NRS that are essential to collecting quality data, including state assessment policies, follow-up methods, training, and data auditing. The concepts covered are illustrated through indicators of performance, self-evaluation forms, 10 sample data tables, and case studies and vignettes. (MN)