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ERIC Number: ED569489
Record Type: Non-Journal
Publication Date: 2016-Oct
Pages: 63
Abstractor: ERIC
Reference Count: 28
Benchmarking the State of Pohnpei's Education Management Information System. REL 2017-175
Kendall, John S.; Dandapani, Nitara; Cicchinelli, Louis F.
Regional Educational Laboratory Pacific
A quality data management system, such as an education management information system (EMIS), a state longitudinal data system, or a data warehouse, is key to ensuring that education policy, planning, and strategy decisions are grounded in accurate information (Data Quality Campaign, 2010; Mohamed, Kadir, May-Lin, Rahman, & Arshad, 2009; Regional Educational Laboratory Southeast, 2010; World Bank, 2011). The chief state school officers of the Federated States of Micronesia have recognized the need to improve their national EMIS and those of their four states, especially the organization of data and timeliness of data reports (Federated States of Micronesia, 2009). For this study, Regional Educational Laboratory (REL) Pacific assessed the EMIS in the state of Pohnpei by convening a focus group of data specialists to rate the processes, tools, and materials that support the ability to provide timely and meaningful data to schools or education agencies. They used a tool developed by the World Bank to objectively assess and monitor the quality of EMISs. The tool assesses five major aspects of quality: prerequisites of quality, integrity of education statistics, accuracy and reliability of education statistics, serviceability (relevance, timeliness, and consistency of data), and accessibility of data to stakeholders. Scores from the data specialists were averaged and used to assign each aspect of quality to one of four benchmark levels: latent (not in place), emerging (in the process of implementation), established (in place and meeting standards), and mature (an example of best practice). The results of this study provide a comprehensive view of Pohnpei's EMIS, which was rated as established overall and for each of the five aspects of quality: (1) Prerequisites of quality (the institutional frameworks that govern the information system and data reporting and the supporting resources); (2) Integrity of education statistics (the professionalism, objectivity, transparency, and ethical standards by which staff operate and statistics are reported); (3) Accuracy and reliability of education statistics; (4) Serviceability (relevance, timeliness, and consistency of data); and (5) Accessibility of data to stakeholders. The following are appended: (1) Literature review of education management information systems; (2) Data sources and methodology; (3) Data collection instruments; and (4) Participant responses by indicator and aspect of system quality.
Regional Educational Laboratory Pacific. Available from: Institute of Education Sciences. 555 New Jersey Avenue NW, Washington, DC 20208. Tel: 800-872-5327; Web site:
Publication Type: Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: Regional Educational Laboratory Pacific (ED); McREL International; National Center for Education Evaluation and Regional Assistance (ED)
Identifiers - Location: Federated States of Micronesia
IES Funded: Yes
Grant or Contract Numbers: EDIES12C0010