A Vision and Roadmap for Education Statistics
Record details
- ISBN: 9780309273503
- ISBN: 0309273501
- ISBN: 9780309273510
- ISBN: 030927351X
-
Physical Description:
1 online resource (xiii, 216 pages ): illustrations (some color)
remote
Computer data. - Publisher: Washington, DC : The National Academies Press, [2022]
- Copyright: �2022
Content descriptions
General Note: | CatMonthString.october.23 Multi-User. |
Bibliography, etc. Note: | Includes bibliographical references (pages 131-139). |
Formatted Contents Note: | Intro -- Front Matter -- Acknowledgments -- Contents -- Synopsis -- Summary -- 1. Introduction -- 2. Rise Up to Meet 21st-Century Education Data Ecosystem Needs -- 3. Prioritize Topics, Data Content, and Statistical Information to Maintain Relevance -- 4. Expand Engagement and Dissemination for Greater Mission Impact -- 5. Transform Internal Structure and Operations to Align with and Directly Support the Strategic Plan -- 6. Summary of Recommendations -- References -- Appendix A: Glossary of Terms and Acronyms Used in This Report -- Appendix B: Data Sources and Collection Approaches -- Appendix C: Summary of Data Content Prioritization Process -- Appendix D: Comparing Federal Principal Statistical Agencies and Units -- Appendix E: Institute of Education Sciences and NCES Product Review Processes -- Appendix F: Open Meeting Agendas and Solicited Statements -- Appendix G: Biographical Sketches of the Panel -- Committee on National Statistics. |
Type of Computer File or Data Note: | Text (HTML), electronic book. |
System Details Note: | Mode of access: Internet. |
Terms Governing Use and Reproduction Note: | Access requires VIU IP addresses and is restricted to VIU students, faculty and staff. Access restricted by subscription. |
Issuing Body Note: | Made available online by EBSCO. |
Source of Description Note: | Print version record. |
Search for related items by subject
Subject: | Education -- Statistics Educational evaluation -- Statistics Quantitative research Education Educational evaluation Quantitative research Multi-User. |
Genre: | Statistics. |