Guide for Improving NRS Data Quality: Procedures for Data Collection and Training.

Autor/inn/en	Condelli, Larry; Castillo, Laura; Seburn, Mary; Deveaux, Jon
Institution	American Institutes for Research, Washington, DC.
Titel	Guide for Improving NRS Data Quality: Procedures for Data Collection and Training.
Quelle	(2002), (86 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Leitfaden; Accountability; Adult Education; Audits (Verification); Compliance (Legal); Data Analysis; Data Collection; Definitions; Educational Policy; Evaluation Methods; Federal Programs; Followup Studies; Guidelines; Information Utilization; Measurement Techniques; Outcomes of Education; Performance Factors; Policy Formation; Program Evaluation; Program Improvement; Public Policy; Quality Control; Staff Development; State Action; Systems Approach; Training Methods + Suchen Sie Ihr Suchwort? Verantwortung; Adult; Adults; Education; Adult basic education; Adult training; Erwachsenenbildung; Auswertung; Data capture; Datensammlung; Begriffsbestimmung; Politics of education; Bildungspolitik; Follow-up studies; Kontaktstudium; Richtlinien; Informationsnutzung; Messtechnik; Lernleistung; Schulerfolg; Leistungsindikator; Politische Betätigung; Programme evaluation; Programmevaluation; Öffentliche Ordnung; Qualitätskontrolle; Personnel development; Personalentwicklung; Staatliche Intervention; Systemischer Ansatz; Didaktik; Trainingsmaßnahme
Abstract	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)
Anmerkungen	For full text: http://www.nrsweb.org/traininginfo/dataquality.pdf.
Erfasst von	ERIC (Education Resources Information Center), Washington, DC